IntechOpen Book Series will also publish a program of research-driven Thematic Edited Volumes that focus on specific areas and allow for a more in-depth overview of a particular subject.
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IntechOpen Book Series will be launching regularly to offer our authors and editors exciting opportunities to publish their research Open Access. We will begin by relaunching some of our existing Book Series in this innovative book format, and will expand in 2022 into rapidly growing research fields that are driving and advancing society.
With the desire to make book publishing more relevant for the digital age and offer innovative Open Access publishing options, we are thrilled to announce the launch of our new publishing format: IntechOpen Book Series.
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Designed to cover fast-moving research fields in rapidly expanding areas, our Book Series feature a Topic structure allowing us to present the most relevant sub-disciplines. Book Series are headed by Series Editors, and a team of Topic Editors supported by international Editorial Board members. Topics are always open for submissions, with an Annual Volume published each calendar year.
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After a robust peer-review process, accepted works are published quickly, thanks to Online First, ensuring research is made available to the scientific community without delay.
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Our innovative Book Series format brings you:
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Topic Focused Publications - Each topic showcases high impact subject areas
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Renowned Editorial Expertise - Series Editors, Topic Editors, and a team of international Board Members that permanently support each Book Series
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Fast Publishing - quick turnaround which is unique for book publishing
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The benefit of ISSN and ISBN for increased citation and indexing possibilities
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IntechOpen Book Series will also publish a program of research-driven Thematic Edited Volumes that focus on specific areas and allow for a more in-depth overview of a particular subject.
\n\n
IntechOpen Book Series will be launching regularly to offer our authors and editors exciting opportunities to publish their research Open Access. We will begin by relaunching some of our existing Book Series in this innovative book format, and will expand in 2022 into rapidly growing research fields that are driving and advancing society.
We invite you to explore our IntechOpen Book Series, find the right publishing program for you and reach your desired audience in record time.
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Note: Edited in October 2021
\n'}],latestNews:[{slug:"webinar-introduction-to-open-science-wednesday-18-may-1-pm-cest-20220518",title:"Webinar: Introduction to Open Science | Wednesday 18 May, 1 PM CEST"},{slug:"step-in-the-right-direction-intechopen-launches-a-portfolio-of-open-science-journals-20220414",title:"Step in the Right Direction: IntechOpen Launches a Portfolio of Open Science Journals"},{slug:"let-s-meet-at-london-book-fair-5-7-april-2022-olympia-london-20220321",title:"Let’s meet at London Book Fair, 5-7 April 2022, Olympia London"},{slug:"50-books-published-as-part-of-intechopen-and-knowledge-unlatched-ku-collaboration-20220316",title:"50 Books published as part of IntechOpen and Knowledge Unlatched (KU) Collaboration"},{slug:"intechopen-joins-the-united-nations-sustainable-development-goals-publishers-compact-20221702",title:"IntechOpen joins the United Nations Sustainable Development Goals Publishers Compact"},{slug:"intechopen-signs-exclusive-representation-agreement-with-lsr-libros-servicios-y-representaciones-s-a-de-c-v-20211123",title:"IntechOpen Signs Exclusive Representation Agreement with LSR Libros Servicios y Representaciones S.A. de C.V"},{slug:"intechopen-expands-partnership-with-research4life-20211110",title:"IntechOpen Expands Partnership with Research4Life"},{slug:"introducing-intechopen-book-series-a-new-publishing-format-for-oa-books-20210915",title:"Introducing IntechOpen Book Series - A New Publishing Format for OA Books"}]},book:{item:{type:"book",id:"6341",leadTitle:null,fullTitle:"Hepatocellular Carcinoma - Advances in Diagnosis and Treatment",title:"Hepatocellular Carcinoma",subtitle:"Advances in Diagnosis and Treatment",reviewType:"peer-reviewed",abstract:"Hepatocellular carcinoma (HCC) currently ranks as the third most common cause of death. As the primary malignancy of the liver is directly related to an underlying liver condition, its incidence and profile are expected to change soon. While effective prevention programs and antiviral therapies for hepatitis B and C will lower the incidence of HCC, emerging socioeconomic issues will deliver new at-risk populations. Moreover, diagnostic techniques and protocols have undergone significant advancements. Reliance on contrast enhanced ultrasound has been re-evaluated, imaging methods being considered as sufficient diagnostic tools. Molecular characterization remains desirable, since chemotherapeutic agents still have limited applicability. In light of recent diagnostic advancements and novel therapeutic solutions, it is our belief that a comprehensive update on recent paradigm shifts and interesting upcoming developments is highly needed.",isbn:"978-1-78984-274-6",printIsbn:"978-1-78984-273-9",pdfIsbn:"978-1-83881-415-1",doi:"10.5772/intechopen.69753",price:119,priceEur:129,priceUsd:155,slug:"hepatocellular-carcinoma-advances-in-diagnosis-and-treatment",numberOfPages:200,isOpenForSubmission:!1,isInWos:null,isInBkci:!1,hash:"0980aba87ca523d4b6224cfa2d44beeb",bookSignature:"Costin Teodor Streba, Cristin Constantin Vere and Ion Rogoveanu",publishedDate:"November 28th 2018",coverURL:"https://cdn.intechopen.com/books/images_new/6341.jpg",numberOfDownloads:8995,numberOfWosCitations:0,numberOfCrossrefCitations:4,numberOfCrossrefCitationsByBook:0,numberOfDimensionsCitations:5,numberOfDimensionsCitationsByBook:0,hasAltmetrics:1,numberOfTotalCitations:9,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"May 18th 2017",dateEndSecondStepPublish:"June 8th 2017",dateEndThirdStepPublish:"September 4th 2017",dateEndFourthStepPublish:"December 3rd 2017",dateEndFifthStepPublish:"February 1st 2018",currentStepOfPublishingProcess:5,indexedIn:"1,2,3,4,5,6",editedByType:"Edited by",kuFlag:!1,featuredMarkup:null,editors:[{id:"55546",title:"Dr.",name:"Costin",middleName:"Teodor",surname:"Streba",slug:"costin-streba",fullName:"Costin Streba",profilePictureURL:"https://mts.intechopen.com/storage/users/55546/images/system/55546.jpeg",biography:"Streba Costin Teodor, MD, PhD, MSc, is Associate Professor at the University of Medicine and Pharmacy of Craiova and a member of the university’s Research Center of Gastroenterology and Hepatology. His research focuses on diagnosis and histological image analysis in liver and pancreatic disease. Dr. Teodor specializes in devising medical-oriented diagnostic systems for gastrointestinal malignancies that integrate interpretation and computer-aided quantification of various imaging and clinical data. He has published many studies in various high-impact journals.",institutionString:"University of Medicine and Pharmacy of Craiova",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"8",totalChapterViews:"0",totalEditedBooks:"3",institution:{name:"University of Medicine and Pharmacy of Craiova",institutionURL:null,country:{name:"Romania"}}}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,coeditorOne:{id:"210049",title:"Dr.",name:"Cristin Constantin",middleName:null,surname:"Vere",slug:"cristin-constantin-vere",fullName:"Cristin Constantin Vere",profilePictureURL:"https://mts.intechopen.com/storage/users/210049/images/system/210049.jpeg",biography:"Vere Cristin Constantin, MD, PhD, MSc, is Professor of Gastroenterology at the University of Medicine and Pharmacy of Craiova and one of the founding members of the university’s Research Center of Gastroenterology and Hepatology. His research interests span from neuroimmune mechanisms of gastrointestinal disease to novel diagnostic techniques in gastroenterology. Pioneering the introduction of wireless videocapsule in Romania, Dr. Constantin established a dynamic team of PhD and full-time scientists specialized in both medical sciences and bioinformatics. His publication record attests to his dedication for innovation in the field of gastroenterology and the complex integrative mechanisms that form the basis for this pathology.",institutionString:"University of Medicine and Pharmacy of Craiova",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"0",totalChapterViews:"0",totalEditedBooks:"0",institution:{name:"University of Medicine and Pharmacy of Craiova",institutionURL:null,country:{name:"Romania"}}},coeditorTwo:{id:"210050",title:"Dr.",name:"Ion",middleName:null,surname:"Rogoveanu",slug:"ion-rogoveanu",fullName:"Ion Rogoveanu",profilePictureURL:"https://mts.intechopen.com/storage/users/210050/images/system/210050.jpeg",biography:"Rogoveanu Ion, MD, PhD, MSc, Professor of Gastroenterology at the University of Medicine and Pharmacy of Craiova and one of the founding members of the Research Center of Gastroenterology and Hepatology of Craiova. Mentoring a team of dedicated doctors and managing the curricular and scientific activities of the University as Rector, he is currently one of the lead authorities in Ultrasound and Power Doppler US, coordinating postgraduate courses for the past 10 years. His most prestigious recent publications are all in the field of prevention, diagnosis and treatment of HCC and various liver diseases.",institutionString:"University of Medicine and Pharmacy of Craiova",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"0",totalChapterViews:"0",totalEditedBooks:"0",institution:{name:"University of Medicine and Pharmacy of Craiova",institutionURL:null,country:{name:"Romania"}}},coeditorThree:null,coeditorFour:null,coeditorFive:null,topics:[{id:"1078",title:"Gastrointestinal Oncology",slug:"gastrointestinal-oncology"}],chapters:[{id:"61816",title:"Introductory Chapter: Etiology and Pathogenesis of Hepatocellular Carcinoma",doi:"10.5772/intechopen.78328",slug:"introductory-chapter-etiology-and-pathogenesis-of-hepatocellular-carcinoma",totalDownloads:1365,totalCrossrefCites:1,totalDimensionsCites:2,hasAltmetrics:1,abstract:null,signatures:"Costin Teodor Streba, Cristin Constantin Vere, Ion Rogoveanu and\nNicu Dan Florescu",downloadPdfUrl:"/chapter/pdf-download/61816",previewPdfUrl:"/chapter/pdf-preview/61816",authors:[{id:"55546",title:"Dr.",name:"Costin",surname:"Streba",slug:"costin-streba",fullName:"Costin Streba"}],corrections:null},{id:"61254",title:"Diagnostic Algorithm of Hepatocellular Carcinoma: Classics and Innovations in Radiology and Pathology",doi:"10.5772/intechopen.76136",slug:"diagnostic-algorithm-of-hepatocellular-carcinoma-classics-and-innovations-in-radiology-and-pathology",totalDownloads:1471,totalCrossrefCites:1,totalDimensionsCites:1,hasAltmetrics:0,abstract:"In the global cancer statistics, hepatocellular carcinoma (HCC) ranges sixth by incidence and second by oncological mortality. The risk factors comprise hepatitis B and C virus infection, non-alcoholic steatohepatitis, as well as long-lasting peroral exposure to alcohol or aflatoxins. Liver cirrhosis is the most important single predisposing factor. Ultrasonography once per 6 months is recommended for surveillance in cirrhotic patients. Computed tomography (CT) and magnetic resonance imaging (MRI) represent the gold standard of non-invasive diagnostics while core biopsy and/or immunohistochemistry (IHC) are indicated for controversial and non-cirrhotic HCC cases. Molecular classification is under development. At present, classics of HCC diagnostics is based on evaluation of risk factors, surveillance in cirrhotic patients, preference for CT or MRI-confirmed non-invasive diagnosis and biopsy proof in equivocal cases. Diffusion-weighted imaging and hepatobiliary phase contrasting represent significant recent developments in MRI. Contrast-enhanced ultrasonography is recommended by some but not all guidelines. Positron emission tomography is advocated before liver transplantation to detect extrahepatic metastases but has limited role in the initial diagnostic evaluation of liver nodule. Innovations are expected in the field of molecular diagnostics, including IHC panels and novel antigens, e.g. clathrin and bile salt export pump protein, and development of molecular classification.",signatures:"Dzeina Mezale, Ilze Strumfa, Andrejs Vanags, Arturs Kalva, Dainis\nBalodis, Boriss Strumfs, Ilze Fridrihsone, Arnis Abolins and Janis\nGardovskis",downloadPdfUrl:"/chapter/pdf-download/61254",previewPdfUrl:"/chapter/pdf-preview/61254",authors:[{id:"54021",title:"Prof.",name:"Ilze",surname:"Strumfa",slug:"ilze-strumfa",fullName:"Ilze Strumfa"},{id:"159998",title:"Dr.",name:"Arnis",surname:"Abolins",slug:"arnis-abolins",fullName:"Arnis Abolins"},{id:"160000",title:"Prof.",name:"Janis",surname:"Gardovskis",slug:"janis-gardovskis",fullName:"Janis Gardovskis"},{id:"174929",title:"Dr.",name:"Andrejs",surname:"Vanags",slug:"andrejs-vanags",fullName:"Andrejs Vanags"},{id:"202253",title:"Dr.",name:"Dainis",surname:"Balodis",slug:"dainis-balodis",fullName:"Dainis Balodis"},{id:"202548",title:"Dr.",name:"Dzeina",surname:"Mezale",slug:"dzeina-mezale",fullName:"Dzeina Mezale"},{id:"203012",title:"Dr.",name:"Ilze",surname:"Fridrihsone",slug:"ilze-fridrihsone",fullName:"Ilze Fridrihsone"},{id:"205692",title:"MSc.",name:"Boriss",surname:"Strumfs",slug:"boriss-strumfs",fullName:"Boriss Strumfs"},{id:"215127",title:"Dr.",name:"Arturs",surname:"Kalva",slug:"arturs-kalva",fullName:"Arturs Kalva"}],corrections:null},{id:"62790",title:"Innovative Blood Tests for Hepatocellular Carcinoma: Liquid Biopsy and Evaluation of Systemic Inflammatory Reaction",doi:"10.5772/intechopen.76599",slug:"innovative-blood-tests-for-hepatocellular-carcinoma-liquid-biopsy-and-evaluation-of-systemic-inflamm",totalDownloads:906,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:"Hepatocellular carcinoma (HCC) is an aggressive tumour associated with dismal prognosis. To improve the outcome, early diagnostics is important. At present, classical HCC diagnostics is based on evaluation of risk factors, surveillance in cirrhotic patients, preference for non-invasive diagnosis by computed tomography or magnetic resonance imaging and biopsy confirmation in controversial cases. However, ambiguous radiological presentation, biopsy-related complications or insufficient representation of the pathology in the tissue core are well-known problems. Panel assessment of microRNAs has diagnostic and prognostic value; thus, in future, microRNA-based liquid biopsy could partially reduce the need for core biopsies. Systemic inflammatory reaction (SIR), characterised mainly by neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio and Glasgow prognostic score, may have prognostic value and can be incorporated in criteria for certain treatment approaches, e.g., becoming an adjunct to Milan criteria. Thus, innovations in HCC diagnostics are expected in the field of miRNA-based liquid biopsy for diagnosis/prognosis and SIR for prognosis/selection of treatment.",signatures:"Ilze Strumfa, Dzeina Mezale, Boriss Strumfs, Andrejs Vanags, Arturs\nKalva, Dainis Balodis, Ilze Fridrihsone, Arnis Abolins and Janis\nGardovskis",downloadPdfUrl:"/chapter/pdf-download/62790",previewPdfUrl:"/chapter/pdf-preview/62790",authors:[{id:"54021",title:"Prof.",name:"Ilze",surname:"Strumfa",slug:"ilze-strumfa",fullName:"Ilze Strumfa"},{id:"159998",title:"Dr.",name:"Arnis",surname:"Abolins",slug:"arnis-abolins",fullName:"Arnis Abolins"},{id:"160000",title:"Prof.",name:"Janis",surname:"Gardovskis",slug:"janis-gardovskis",fullName:"Janis Gardovskis"},{id:"174929",title:"Dr.",name:"Andrejs",surname:"Vanags",slug:"andrejs-vanags",fullName:"Andrejs Vanags"},{id:"202253",title:"Dr.",name:"Dainis",surname:"Balodis",slug:"dainis-balodis",fullName:"Dainis Balodis"},{id:"202548",title:"Dr.",name:"Dzeina",surname:"Mezale",slug:"dzeina-mezale",fullName:"Dzeina Mezale"},{id:"203012",title:"Dr.",name:"Ilze",surname:"Fridrihsone",slug:"ilze-fridrihsone",fullName:"Ilze Fridrihsone"},{id:"205692",title:"MSc.",name:"Boriss",surname:"Strumfs",slug:"boriss-strumfs",fullName:"Boriss Strumfs"},{id:"215127",title:"Dr.",name:"Arturs",surname:"Kalva",slug:"arturs-kalva",fullName:"Arturs Kalva"}],corrections:null},{id:"58268",title:"Cellular Senescence and Their Role in Liver Metabolism in Health and Disease: Overview and Future Directions",doi:"10.5772/intechopen.71659",slug:"cellular-senescence-and-their-role-in-liver-metabolism-in-health-and-disease-overview-and-future-dir",totalDownloads:1110,totalCrossrefCites:1,totalDimensionsCites:1,hasAltmetrics:0,abstract:"Chronic liver disease has globally risen mainly due to a prevalent hepatitis C virus (HCV) infection rate and an epidemic of obesity. It is estimated by the year 2030, 2.2 billion people around the world will be overweight and 1.1 billion people will be obese. Diabetes and obesity are the main risk factors for the development of the metabolic syndrome and in the liver of non-alcoholic fatty liver disease (NAFLD) which could progress to non-alcoholic fatty steatohepatitis (NASH) related cirrhosis and liver malignancy. At present there is not effective therapy for NASH besides loss of weight and exercise. Furthermore, optimal management of HCC with curative intent includes resection or liver transplantation. Nevertheless, these therapies are limited because the degree of liver dysfunction or the medical conditions at the time of diagnosis and the scarcity of available liver grafts. The role of cellular lipid management and metabolism in human health and disease is taking a center stage. The present overview articulates the current pathophysiology of fatty liver disease under the aging processes, potential biological markers of liver disease diagnosis and progression and future therapies.",signatures:"Matthew Schade, Jacqueline A Sanabria, Milad Modarresi, Bryan\nGillon, Zach Hunter, Jacqueline Fannin, Amrita Mallick, Henri\nBrunengraber and Juan Sanabria",downloadPdfUrl:"/chapter/pdf-download/58268",previewPdfUrl:"/chapter/pdf-preview/58268",authors:[{id:"219945",title:"Prof.",name:"Juan",surname:"Sanabria",slug:"juan-sanabria",fullName:"Juan Sanabria"},{id:"219957",title:"MSc.",name:"Matthew",surname:"Schade",slug:"matthew-schade",fullName:"Matthew Schade"},{id:"219958",title:"BSc.",name:"Jacqueline",surname:"Sanabria",slug:"jacqueline-sanabria",fullName:"Jacqueline Sanabria"},{id:"219959",title:"Dr.",name:"Rodrigo",surname:"Aguilar",slug:"rodrigo-aguilar",fullName:"Rodrigo Aguilar"},{id:"219960",title:"Dr.",name:"Milad",surname:"Modarresi",slug:"milad-modarresi",fullName:"Milad Modarresi"},{id:"219961",title:"Dr.",name:"Michael",surname:"Andryka",slug:"michael-andryka",fullName:"Michael Andryka"},{id:"219962",title:"Dr.",name:"Amrita",surname:"Mallick",slug:"amrita-mallick",fullName:"Amrita Mallick"},{id:"219963",title:"Dr.",name:"Jacqueline",surname:"Fannin",slug:"jacqueline-fannin",fullName:"Jacqueline Fannin"}],corrections:null},{id:"58031",title:"The Diagnostic and Prognostic Potential of MicroRNAs for Hepatocellular Carcinoma",doi:"10.5772/intechopen.72276",slug:"the-diagnostic-and-prognostic-potential-of-micrornas-for-hepatocellular-carcinoma",totalDownloads:1103,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:"Hepatocellular carcinoma (also termed hepatocarcinoma) is the third cancer-related cause of death worldwide. To our knowledge, markers such as α-fetoprotein display poor performance in the early diagnosis and prognosis prediction of hepatocarcinoma. MicroRNAs are an evolutionarily conserved class of small noncoding single-stranded RNA typically consisting of 18–24 nucleotides. They have been reported to act as tumor suppressors or oncogenes via reversely regulating gene expression. Recent evidence has revealed that microRNAs, especially in body fluids such as the blood and urine, display important diagnostic and prognostic potential for hepatocarcinoma. Here, we reviewed currently available data on microRNAs and hepatocarcinoma, with emphasis on the biogenesis and function of microRNAs and their potential diagnostic and prognostic value for hepatocarcinoma. We also discussed the clinical utility perspectives of microRNAs in hepatocarcinoma and possible challenges.",signatures:"Xi-Dai Long, Wei-Zhong Tang, Jun Lu, Xiao-Ying Huang, Jin-Guang\nYao, Tian-Qi Zhang, Xing-Zhizi Wang, Qun-Ying Su, Chun-Ying Luo,\nXue-Ming Wu, Chao Wang, Li-Xia Zeng, Qiang Xia and Yun Ma",downloadPdfUrl:"/chapter/pdf-download/58031",previewPdfUrl:"/chapter/pdf-preview/58031",authors:[{id:"202142",title:"Prof.",name:"Xi-Dai",surname:"Long",slug:"xi-dai-long",fullName:"Xi-Dai Long"},{id:"202469",title:"Dr.",name:"Xue-Min",surname:"Wu",slug:"xue-min-wu",fullName:"Xue-Min Wu"},{id:"202470",title:"Dr.",name:"Xiao-Ying",surname:"Huang",slug:"xiao-ying-huang",fullName:"Xiao-Ying Huang"},{id:"202471",title:"Dr.",name:"Jin-Guang",surname:"Yao",slug:"jin-guang-yao",fullName:"Jin-Guang Yao"},{id:"202472",title:"Dr.",name:"Chao",surname:"Wang",slug:"chao-wang",fullName:"Chao Wang"},{id:"202473",title:"Dr.",name:"Chun-Ying",surname:"Luo",slug:"chun-ying-luo",fullName:"Chun-Ying Luo"},{id:"202476",title:"Prof.",name:"Qiang",surname:"Xia",slug:"qiang-xia",fullName:"Qiang Xia"},{id:"204289",title:"Dr.",name:"Jun",surname:"Lu",slug:"jun-lu",fullName:"Jun Lu"},{id:"205376",title:"Dr.",name:"Xing-Zhizi",surname:"Wang",slug:"xing-zhizi-wang",fullName:"Xing-Zhizi Wang"},{id:"205377",title:"Dr.",name:"Tian-Qi",surname:"Zhang",slug:"tian-qi-zhang",fullName:"Tian-Qi Zhang"},{id:"221959",title:"Prof.",name:"Wei-Zhong",surname:"Tang",slug:"wei-zhong-tang",fullName:"Wei-Zhong Tang"},{id:"221960",title:"Dr.",name:"Qun-Ying",surname:"Su",slug:"qun-ying-su",fullName:"Qun-Ying Su"},{id:"221961",title:"Prof.",name:"Yun",surname:"Ma",slug:"yun-ma",fullName:"Yun Ma"}],corrections:null},{id:"57089",title:"Oncogenic Secretory Clusterin: A Promising Therapeutic Target for Hepatocellular Carcinoma",doi:"10.5772/intechopen.71007",slug:"oncogenic-secretory-clusterin-a-promising-therapeutic-target-for-hepatocellular-carcinoma",totalDownloads:1003,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:"Oncogenic secretory clusterin (sCLU) is a stress-induced molecular chaperone that confers proliferative and survival advantages to hepatocellular carcinoma (HCC), plays a crucial role in cell proliferation, multiple drug resistance, metastasis, and tumor progression. However, the targeted effects and molecular mechanisms of sCLU for malignant tumor are still unknown. This chapter aims to review some progression of oncogenic sCLU as a promising therapeutic target for HCC. An English-language literature search was conducted using bibliographic databases on some valuable articles in focused review questions to analyze the interventions and findings of included studies using a conceptual framework. The positive rate of hepatic sCLU expression in cancerous tissues was significantly higher more than that in their surrounding non-cancerous ones at gene transcription level or at protein level, with increasing according to tumor-node-metastasis (TNM) staging. Abnormal expression of oncogenic sCLU associated with poor differentiation degree and TNM stage of HCC also has been considered as a valuable diagnostic or independent prognostic biomarker for HCC. Furthermore, silencing sCLU at mRNA level by specific shRNA or inhibition by OGX-011 suppressed the colony formation and proliferation of tumor cells with apoptosis increasing, cell cycle arrested, alterations of cell migration and invasion behaviors, decreasing phosphorylation level of Akt and GSK-3β in vitro, and significantly suppressing the xenograft tumor growth with decreasing expression of β-catenin, p-GSK3β, and cyclinD1 in vivo. The oncogenic sCLU expression was closely associated with tumor progression, and it should be a novel potential molecular-targeted therapy for HCC.",signatures:"Min Yao, Wenjie Zheng, Li Wang, Miao Fang, Dengfu Yao and\nZhizheng Dong",downloadPdfUrl:"/chapter/pdf-download/57089",previewPdfUrl:"/chapter/pdf-preview/57089",authors:[{id:"32568",title:"Prof.",name:"Dengfu",surname:"Yao",slug:"dengfu-yao",fullName:"Dengfu Yao"},{id:"125805",title:"Dr.",name:"Zhizhen",surname:"Dong",slug:"zhizhen-dong",fullName:"Zhizhen Dong"},{id:"212132",title:"Prof.",name:"Min",surname:"Yao",slug:"min-yao",fullName:"Min Yao"},{id:"212133",title:"Dr.",name:"Wenjie",surname:"Zheng",slug:"wenjie-zheng",fullName:"Wenjie Zheng"},{id:"212134",title:"Prof.",name:"Li",surname:"Wang",slug:"li-wang",fullName:"Li Wang"},{id:"212136",title:"Dr.",name:"Maio",surname:"Fang",slug:"maio-fang",fullName:"Maio Fang"}],corrections:null},{id:"57982",title:"Minimally Invasive Therapies for Hepatocellular Carcinoma: Mechanisms of Local Control and Systemic Immunologic Response",doi:"10.5772/intechopen.72275",slug:"minimally-invasive-therapies-for-hepatocellular-carcinoma-mechanisms-of-local-control-and-systemic-i",totalDownloads:971,totalCrossrefCites:1,totalDimensionsCites:1,hasAltmetrics:0,abstract:"Minimally invasive treatments for hepatocellular carcinoma (HCC) are a cornerstone in the management of this challenging disease. For many years, percutaneously guided ablative techniques, such as radiofrequency ablation (RFA), cryoablation, and microwave ablation (MWA), have successfully treated many different solid malignancies including HCC. Since the initial implementation of these ablative techniques, there have been many advances in the design, technique, and patient selection as well as investigation into the body’s response to treatment. The mechanisms of thermal-based ablative techniques, advantages and disadvantages of each technique, subsequent immunologic response following ablation, and advances in care that utilize combination therapy to potentiate the immunologic response creating a robust and long-term immunity to HCC are outlined in this chapter.",signatures:"Andrew W. Ritchey, Joshua D. Kuban and Rahul A. Sheth",downloadPdfUrl:"/chapter/pdf-download/57982",previewPdfUrl:"/chapter/pdf-preview/57982",authors:[{id:"188220",title:"Dr.",name:"Rahul",surname:"Sheth",slug:"rahul-sheth",fullName:"Rahul Sheth"},{id:"188923",title:"Dr.",name:"Joshua",surname:"Kuban",slug:"joshua-kuban",fullName:"Joshua Kuban"},{id:"214784",title:"Dr.",name:"Andrew",surname:"Ritchey",slug:"andrew-ritchey",fullName:"Andrew Ritchey"}],corrections:null},{id:"58248",title:"Emerging Targeted Therapies for Treatment of Hepatocellular Carcinoma (HCC)",doi:"10.5772/intechopen.71480",slug:"emerging-targeted-therapies-for-treatment-of-hepatocellular-carcinoma-hcc-",totalDownloads:1067,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:"Hepatocellular carcinoma (HCC) has dismal diagnosis due to the presence of underlying cirrhosis, late diagnosis, and limited treatment options. Surgery or liver transplantation is restricted to those with small tumours or well-compensated liver diseases. Despite advances in early screening and diagnosis of HCC, survival of patients has not improved greatly. Furthermore, treatment options for advanced HCC are restricted to best supportive care. Currently, sorafenib is the only drug approved for the treatment of advanced HCC patients as well as for those not suitable for transarterial chemoembolization (TACE). Therefore, there is an urgent need to develop new agents for treatment. Hepatocarcinogenesis is a complex multistep process that involves deregulation of various signalling pathways. Thus, there is no dominant molecular mechanism in HCC and understanding of these pathways provides an opportunity for development of potential therapeutic agents in an effort to reverse, prevent or delay tumourigenesis. This review will summarise the significance of these pathways in HCC and discuss the therapeutic benefits or drawbacks of the potential target agents against these pathways especially those that have been part of clinical trials.",signatures:"Sarwat Fatima, Nikki Pui-Yue Lee, Hiu Yee Kwan and Zhao Xiang\nBian",downloadPdfUrl:"/chapter/pdf-download/58248",previewPdfUrl:"/chapter/pdf-preview/58248",authors:[{id:"71966",title:"Dr.",name:"Nikki P.",surname:"Lee",slug:"nikki-p.-lee",fullName:"Nikki P. 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\n\t\t\t
1. Introduction
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Sorghum (Sorghum bicolor L. Moench), including sweet sorghum, is widely adapted to diverse and often marginal crop production environments. Sweet sorghum stalks have high sugar content compared with other sorghum types and has potential for producing ethanol to be mixed with gasoline or for producing ethyl tert-butyl ether, an octane additive to gasoline. Sweet sorghum was introduced to the United States for syrup production in the 1850s (Winberry, 1980). Production peaked following sugar shortages during World War II at about 136 million L yr-1 of syrup in 1946 (Hunter & Anderson, 1997), but thereafter declined because of low sugar prices and inadequate production efficiency.
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Sweet sorghum can be competitive with corn (Zea mays L.) and grain sorghum for ethanol yield when grain yield is less than 9 Mg ha-1, and is comparatively efficient in nitrogen use (Smith & Buxton, 1993). Sweet sorghum can easily substitute for corn or grain sorghum in many cropping systems.
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Currently, most ethanol produced in the U.S.A. is from the starch of corn grain with the support of federal subsidies. Energy gains with production of ethanol from grain are modest, typically ranging from 30 to 130% depending on N use efficiency, ethanol plant efficiency, and the efficient use of the distillers grain co-product. Sweet sorghum can be produced at less cost than corn, often with higher energy gains (Smith & Buxton, 1993). Rather than producing starch, sweet sorghum carbohydrates are stored in the stalk as sugar, with sugar concentrations of 8-20% (Rains et al., 1990). Conversion of sugar to ethanol requires less energy than starch as much energy is used to depolymerize the starch. Sweet sorghum has demonstrated potential to produce up to 6000 L ha-1 of ethanol in Iowa and Colorado U.S.A. (Smith & Buxton, 1993), equivalent to ethanol from approximately 20 Mg of corn grain. However, estimated ethanol yields were on average 33% more with grain of corn and grain sorghum compared with sugar of sweet sorghum for seven rainfed site-years in Nebraska U.S.A. (Wortmann et al, 2010). Seasonal availability, the need to transport and store much mass, and storability of sweet sorghum constrain sweet sorghum as a bio-energy crop.
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In planning for bio-fuel production, long-term sustainability of cropping systems must be considered. Sustainability of a cropping system is very much dependent on production environment and resource availability. In one study comparing the sustainability of different bioenergy crops, sweet sorghum, along with oil palm (Elaeis guineensis L.) and sugarcane (Saccharum spp.) for biofuel, were found to be more sustainable in comparison to maize and wheat. This assessment considered efficiency in use of land, water, nitrogen and energy resources, and of pesticides, relative to net energy produced (Vries et al., 2010).
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This chapter addresses sweet sorghum production for the U.S. Great Plains and other temperate production zones, harvest and processing issues, and energy and green house gas balances. An extensive literature review was conducted with most published papers reporting on research conducted in temperate zones.
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2. Sweet sorghum production
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2.1. Growth and sugar content
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The agronomic principles and production practices for sweet sorghum and grain sorghum are similar (Hunter & Anderson, 1997). Reddy et al. (2005) reported much diversity among sweet sorghum genotypes with ranges in India of 13 to 24% for Brix (a measure of sugar and soluble starch in plant sap based on light refraction; a typical Brix measure for sweet sorghum sap is 85% sugar and 15% soluble starch), 7.2 to 15.5% for sucrose concentration in juice, 24 to 120 Mg ha-1 for fresh stalk yield, 36 to 140 t ha-1 fresh biomass yield, and 27 to 48 Mg ha-1 mill-ready stalk yield. Plant height can be as tall as 4.8 m (Freeman & Broadhead, 1973) and stalks can be more than 45 mm thick (Turhollow, 1994). Sweet sorghum has a range of maturity types, and is relatively well adapted compared with corn to water deficit stress, but yields are typically highest in deep, well-drained soils with good fertility. Sweet sorghum has the potential for producing a ratoon crop after harvest where the growing season is long enough.
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Sweet sorghum growing degree days and thermal time are commonly calculated with a base temperature of 13o C (Barbanti et al., 2006; Ferraris & Charles-Edwards, 1986). Sugar yield is generally favored by early planting, but rapid emergence and vigorous seedling growth occur when soil temperature is above 18o C at planting (Lueschen et al., 1991). Sugar yield was increased with earlier planting and increased radiation during the reproductive stage (Ferraris & Charles-Edwards, 1986). Ricaud & Arenneaux (1990) reported mean stalk yields of 56 and 49 Mg ha-1 with 26 Apr and 25 May planting, respectively, in Louisiana U.S.A. Yield of stalk sugar in excess of 10 Mg ha-1 was observed for early sown crops and the sugar yield dropped to 3 Mg ha-1 for late-planted crops (Ferraris & Charles-Edwards, 1986). Juice yield was not affected by planting date in Mississippi U.S.A., but sugar yield was highest for early May planting (Broadhead, 1972) and similar for April and June planting (Broadhead, 1969). In another study conducted in the upper Midwest of the U.S.A., fermentable carbohydrate and ethanol yields were 13% more with earlier compared with later planting dates, and early planting of late-maturing sweet sorghum cultivars was recommended, despite a problem of lodging.
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Sugar concentration of sweet sorghum increased as a function of the duration of growth, commonly peaking at the grain dough stage, and generally decreased with delayed planting irrespective of sampling stage (Ferraris, 1981; Geng et al., 1989). Planting of full season varieties commonly increases potential ethanol yield (Putnam et al., 1991; Zhao et al, 2009). The rate of sugar accumulation is nearly linear with growing time and with radiation intercepted. Early planting allows for a longer growing period and earlier canopy development for sunlight interception during the long days of June and July. The same studies found that production of highly-recoverable concentrated sugars was maximized with long season, tall- and thick-stalk sweet sorghum cultivars. Interception of radiation during the boot to early seed formation growth stage has been found to be very important to sweet sorghum sugar yield (Hipp et al., 1970).
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2.2. Plant population and stand establishment
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Uniform seedling emergence and vigorous stand establishment is important for sweet sorghum production but often challenging under unfavorable planting conditions. This is due to small seed size and often low germination rate and seedling vigor compared to grain sorghum. Once the crop has reached the fifth leaf stage, sweet sorghum growth is generally vigorous and competitive.
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Several studies have addressed plant population and planting pattern. Across seven rainfed site-years in Nebraska, Wortmann et al. (2010) found similar harvestable stem number and sugar yield by sowing 7.5, 12.5, and 17.5 seed m-2 with 75-cm row spacing; increased harvestable tiller number compensated for the lower sowing rates. Sweet sorghum stalk yield was greater in Turkey with 15 plants m-2 compared with lower plant densities when planted with 65-cm row spacing (Turgut et al., 2005). In the northern Corn Belt of the U.S.A., sweet sorghum fermentable carbohydrate or ethanol yield was not affected by seeding rate (Lueschen et al., 1991). In a study of carbohydrate accumulation conducted in Australia, Ferraris & Charles-Edwards (1986) found lower early sugar concentration but slightly higher concentration with higher plant density. Broadhead and Freeman (1980) and Kuepper (1992), however, found reduced Brix, sucrose content, sugar yield, and juice content with increased plant density (Broadhead & Freeman, 1980; Kuepper, 1992).
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Row spacing may be important. In Australia, Martin and Kelleher (1984) reported increased stalk and water soluble carbohydrate yield with 8 compared with 16 plants m-2 and when row spacing was reduced from 105 to 35 cm. They attributed the row spacing effect to greater photosynthetic productivity before anthesis and the production of taller, thicker stalks, the volume of which was closely related to post-anthesis carbohydrate accumulation. In Mississippi U.S.A., stalk yield and Brix were more by growing sweet sorghum in 52.5 cm row spacing compared with wider row spacing, but individual plant weight and juice content were more in wider rows and lodging was less (Broadhead & Freeman, 1980). In this study, however, stalk and sugar yield per hectare with 76-cm row spacing was similar compared with narrower row spacing and more than with 105-cm spacing.
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2.3. Water use
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Sweet sorghum has been observed to extract soil water to 270 cm depth in California U.S.A. (Geng et al., 1989). In this study, sweet sorghum had less yield loss compared to corn, sugarbeet (Beta vulgaris L.), and fodder beet (Beta vulgaris L.) under severe soil water deficit conditions. Water use efficiency of sweet sorghum was determined to be 310 compared to 370 kg water kg-1 dry matter for corn (Reddy et al., 2007). With adequate nutrient supply and irrigation, sweet sorghum hexose yield was 10.0 Mg ha−1 compared to 8.1 Mg ha-1 for corn (Geng et al., 1989), while under soil water deficit conditions sweet sorghum extracted more soil water and produced 29% more hexose compared with corn. In trials conducted between 40.8° and 42.0°N latitude in the U.S.A., total sugar and ethanol yield were similar, but total biomass yield was more with irrigated compared with rainfed production. Seasonal rainfall was not related to biomass or sugar yield in Nebraska U.S.A. where the cropping season rainfall ranged from 250 to 580 mm; median water productivity was 50 kg biomass and 8.1 kg of sugar per mm of seasonal rainfall (Wortmann et al., 2010); this did not account for stored soil water at one month before planting and available soil water remaining after harvest.
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Most sweet sorghum research has been conducted under rainfed conditions. However, a study in Arizona U.S.A. on a sandy soil evaluated frequency of irrigation (Ottman & Miller, 2010). They found sweet sorghum to be responsive to irrigation under arid conditions but did not appear to be highly sensitive to frequency of irrigation. Water use was less and water use efficiency was greater when irrigating at 50 and 65% depletion of available soil water compared with irrigating at 35% depletion (Miller & Ottman, 2010).
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2.4. Fertilizer use
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Sweet sorghum response to applied nutrients varies with location. Dry plant yield in Louisiana U.S.A. was 40% more with 100 kg ha-1 N compared to no N applied; yield was not further increased with application of an additional 100 kg ha-1 N, but there was a 10% yield increase with addition of 90 kg ha-1 K (Ricaud & Arenneaux, 1990). They reported a 50% increase in total sugar yield by applying 100 kg ha-1 N, an additional 4% increase by increasing the N rate to 200 kg ha-1 N, and an additional 13% gain by adding 80 kg ha-1 K to the 100 kg ha-1 N. Nutrient uptake by sweet sorghum at the soft dough stage ranged from 109 to 214 with a median of 142 kg ha-1 for N, 11 to 31 with a median of 18 kg ha-1 for P, and 60 to 161 with a median of 113 kg ha-1 for K (Ricaud & Cochran, 1979). In a comparison with other potential bioenergy crops conducted in Kansas U.S.A., N and K removal in the above ground biomass was more with sweet sorghum compared with other crops, and P removal was less compared with maize and perennial grasses (Table 1) (Propheter & Staggenborg, 2010).
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Sweet sorghum biomass yield in Turkey was increased by 16% and stalk diameter by 7% with application of 100 kg ha-1 N (Turgut et al., 2005). In California U.S.A., sweet sorghum used applied N much more efficiently than corn. Sweet sorghum required just 36% of the fertilizer N required by corn to maximize hexose yield, but produced 23% more hexose yield than corn (Geng et al., 1989). In Mississippi U.S.A., stalk yield was 24% more with the application of 45 kg ha-1 N compared to no N applied, but similar to the yield with application of 90 kg ha-1 N or with P application (Freeman & Broadhead, 1973). In other studies, fermentable sugar yield (Smith & Buxton, 1993), stalk dry matter yield at harvest (Barbanti et al., 2006), and fermentable carbohydrate and ethanol yield (Lueschen et al., 1991) were not affected by N application. In Texas U.S.A., total dissolved solids in juice decreased when a high N rate was applied (Wiendenfeld, 1984). Sweet sorghum did not respond to applied N when intercropped with alfalfa (Buxton et al., 1998). However, farmers producing sweet sorghum for syrup generally applied 34 to 56 kg ha-1 of fertilizer N (Kuepper, 1992). Some sweet sorghum cultivars have the capacity for associative N fixation with 0 to 18% of plant N determined, using the 15N natural abundance technique, to be derived from the atmosphere (Yoneyama et al., 1998).
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Sweet sorghum stalk dry matter and sugar yield were increased with application of 80 kg ha-1 N at only one of seven site-years in Nebraska U.S.A. while corn and grain sorghum grain yields were increased for all site-years with N application (Wortmann et al., 2010). Unpublished results from a related study in Nebraska U.S.A. found that total N uptake by sweet sorghum was similar to uptake by corn but the pattern of uptake differed. Nitrogen uptake by sweet sorghum was more gradual over a longer period of time than for corn and grain sorghum that had several weeks with a very high rate of uptake. Therefore, the high soil N supply needed by the grain crops compared with sweet sorghum at those critical growth stages likely accounted for the greater responsiveness of the grain crops to applied N. Sweet sorghum continued to take up N later into the season, allowing more time for soil organic N mineralization and for deeper root penetration and uptake of deep nitrate-N.
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\n\t\t\t\t\t\t\t\tNutrient removal, kg ha-1\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t
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N
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P
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K
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Sweet sorghum
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190
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34
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329
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Maize
\n\t\t\t\t\t\t\t
174
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43
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167
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Forage sorghum†
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152
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34
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292
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Perennial grass†
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43
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48
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52
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Table 1.
†The forage sorghum values are means of three varieties including a photoperiod-sensitive sorghum. The perennial grass values are means of three species, including switchgrass (Panicum\n\t\t\t\t\t\t\tvirgatum L.), big bluestem (Andropogon gerardii L.), and miscanthus (Miscanthus giganteus).
Mean nutrient removal with the harvest of the above-ground biomass of four groups of bioenergy crops at two locations in Kansas U.S.A. (Propheter & Staggenborg, 2010).
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Sweet sorghum biomass and juice yield increased with lime application when soil pH was low (Soileau & Bradford, 1985). Surface soil organic matter was 10 g kg-1 soil in this study and yields were depressed with N application in the absence of lime application.
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3. Harvest, juice extraction, and transport
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3.1. Sweet sorghum stalk harvest
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Sweet sorghum stalk yield was not much affected by growth stage between flowering to physiological maturity but juice extraction efficiency decreased, and Brix and starch increased, with advancing maturity (Broadhead, 1974); sucrose yield was maximized during the dough stage. In other studies, syrup yield was maximized by harvesting during the late milk to hard dough growth stage (Broadhead, 1972; Tarpley et al., 1994). Stalk sugar concentration is often the lowest at boot stage and the highest at the soft dough stage (Lingle, 1987; Ricaud et al., 1979); the onset of sucrose accumulation was associated with the onset of the reproductive phase of growth and reduced acid invertase activity. Juice yield, per cent extracted, and purity were not affected by delaying stalk harvest until 3-4 weeks after physiological maturity, but Brix and sucrose were reduced by 6% and 4%, respectively, compared with harvest at or before physiological maturity (Broadhead, 1969). Sugar concentration of juice increased continuously until frost kill but thereafter declined (Nuese & Hunt, 1983). Sugar yield is dependent on length of growing season and the amount of radiation intercepted, with a linear increase in sugar yield at dough stage as photosynthetically active radiation increased from 20 to 80 MJ plant-1 due to earlier sowing and longer growing periods (Ferraris & Charles-Edwards, 1986). As long as the terminal meristem developed, the internodes increased in biomass and plant height increased, especially in late maturing cultivars (Coleman & Belcher, 1952). Sugar continued to accumulate in the fully-developed internodes well into seed development (Hunter & Anderson, 1997). In balancing potential ethanol yield with extending the harvest period, harvest of early maturing varieties may begin at about 20 days after anthesis (Zhao et al., 2009).
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In traditional harvest for syrup production, sweet sorghum stalks were topped to remove the panicle and stripped of leaves before crushing for juice extraction because of effects on syrup taste (Winberry, 1980). Farmers staggered plantings over four weeks to prolong the harvest period (Broadhead, 1974). Juice was extracted with simple wooden or metal roller presses, a labor intensive procedure (Lamb, 1982). Juice extraction could be done without stripping stalks of leaves without syrup yield loss if:
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the leaves were wilted before juice extraction;
juice was decanted after at least two hours of settling to remove sediment; and
alpha-amylase enzymes were used during preheating of the juice (Kuepper, 1992).
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Panicle and leaf removal is less important for ethanol production since taste is not an issue as it is for syrup produced for human consumption.
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De-heading of sweet sorghum at anthesis resulted in more productive tillers and increases in main stalk diameter by 20%, juice yield by 30%, and sugar yields by 10% in India, but 5% less Brix, sucrose concentration, and juice purity (Rajendran et al., 2000). In another study, de-heading increased Brix and concentrations of sucrose and starch at the milk through physiological maturity growth stages while reducing plant lodging and increasing tillering, resulting in increased juice yield (Broadhead, 1973). Stalk water content was less with deheading but this did not reduce sugar yield (Broadhead, 1973; Hunter & Anderson, 1997).
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Sweet sorghum produces much biomass and handling this biomass in the short harvest windows available in temperate zones poses a major challenge (Bennett & Anex, 2008). Modified forage harvesters that cut stalks into billets may be used for chopping and harvesting stalks before transporting to the juice expression site, but sugar loss before juice extraction is slower with intact compared to chopped stalks (Bennett & Anex, 2008).
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In-field extraction of juice reduces the biomass to be transported, leaving the bagasse in the field for ground cover and nutrient cycling. A field harvester capable of expressing juice into large bladders for juice storage and fermentation has been proposed, but sugar extraction may be 30-40% less with current in-field extraction technology compared with larger stationary extraction equipment (Kundiyana et al., 2006).
†Adapted from Wortmann et al., 2010. Other values used in calculations are reported in the BESS2008.3.1 User’s Guide (http//www.bess.unl.edu; verified Mar. 24, 2011).
Values used in calculations of ethanol yields and energy balance of maize, grain sorghum, and sweet sorghum with only the grain or sugar used for ethanol production in Nebraska U.S.A.
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A self-propelled 4-row forage harvester adapted for sweet sorghum harvest was found to be economically competitive with other harvest alternatives; when the co-product value was included, the net farm-gate cost of fermentable carbohydrates ranged from $7 to $24 Mg-1 and less than the cost of fermentable carbohydrate of corn grain (Bennett & Anex, 2008). Mobile juice-extracting alternatives were not found to be economically competitive with stationary units, assuming reduced quality control and juice extraction efficiency. If the harvest area is near the juice extraction facility, the lower fermentable carbohydrate costs of sweet sorghum compared with corn grain were sufficient to offset increased costs of transporting the wet sweet sorghum biomass. However, processing costs were reduced by 50% with a processing plant of 379,000,000 L yr-1 compared to a small plant of 37,900,000 L yr-1 but requiring longer transport distances plus much storage capacity and much added cost (Bennett & Anex, 2009). Ensiled storage of wet sorghum stalks resulted in 20% loss of fermentable carbohydrates plus added costs, with the result that ethanol production from sweet sorghum was more costly than for maize grain. However, ethanol production from fresh sweet sorghum feedstock, even with the high transport costs, was more cost effective compared with grain of maize. In many studies, sugar yield is estimated based on Brix readings and expected efficiency of juice extraction. The relationship of Brix to sugar content and efficiency of juice extraction vary with the actual values dependent on numerous factors. It is important that the conversion factors be reported such as those reported in Table 2 in order that the results can be adjusted for the reader’s conditions.
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3.2. Stalk storage and juiced extraction
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Delays in extracting juice with a stationary press following harvest of stalks often occur. Sugar loss from heaped intact stalks was just 3% in four days (Ricaud et al., 1979) and no significant sucrose inversion occurred during 24 hours after cutting. In another study, juice extraction and purity decreased by 3% and 5%, respectively, during 24 hours following intact stalk harvest, but sucrose and starch decreased by less than 1% during 48 hours after harvest (Broadhead, 1974). Temperature during storage appears to be important to losses with 20% of fermentable sugars lost in 3 days of storage at room temperature but no loss with refrigeration (Wu et al., 2010).
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Chopped stalks can be stored as silage without appreciable sugar loss in fermentation if inhibited with an acrylic acid treatment (Hill et al., 1987), but a 20% loss in ensiled storage can occur without such treatment (Bennett & Anex, 2008).
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There is evidence of an interaction of harvest growth stage and stalk storage time (Broadhead, 1974). Juice purity was not affected by harvest growth stage if the stalks were not stored, but juice purity was 70 and 73% less at 24 hours of storage for stalks harvested in the milk compared with the dough and physiological maturity stages, respectively.
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Juice extraction efficiency can be improved by removing panicles and leaves (Lamb, 1982). Expression efficiency may be improved by repeated re-watering and re-expression and by maceration of the stalks before juice extraction by crushing, cutting, or shredding (Jankins, 1966). Stalk water content is important for juice extraction efficiency, with reduced efficiency when water content is less than 45% by weight. More sugar is extracted with repeated wetting and crushing following the initial expression. Juice extraction efficiency varies widely and it is important that the value used in estimating sugar yield from sweet sorghum be reported as in Table 2.
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3.3. Sugar yield
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In Louisiana U.S.A., stalk sugar concentration was 8.3 to 14.0% at flowering and 12.8 to 16.6% at soft dough, and total sugar yield was 4.3 to 8.5 Mg ha-1 at flowering and 6.6 to 11.7 Mg ha-1 at soft dough (Ricaud et al., 1979). Total sugar yield was 4.0 to 10.7 Mg ha-1 for several locations across the continental USA and up to 12 Mg ha-1 for Hawaii U.S.A. (Smith et al., 1987), equivalent to ethanol yields of 2129 to 5696 L ha-1 and comparable to ethanol yields with maize grain. Higher yields were reported for Florida U.S.A., ranging up to 17 Mg ha-1 (Vermerris et al., 2008). In the temperate U.S.A., sugar yields of sweet sorghum were as high as 6 Mg ha-1 with a sugar composition of 54% sucrose, 26% glucose, and 20% fructose (Smith & Buxton, 1993). Across seven site-years in Nebraska U.S.A. between 40.5 and 41.1o N latitude, sugar yield averaged 2.1 Mg ha-1 for a semi-arid site at 1300 m above sea level to 6.2 Mg ha-1 at lower altitude locations with a longer growing season.
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Eventual commercialization of the conversion of cellulosic material to ethanol is likely to increase the value of sweet sorghum as a biofuel crop. In Kansas U.S.A., at 39.8o N latitude, calculated ethanol yields were 10,184, 6770, 7477, and 3073 L ha-1 for sweet sorghum, forage sorghum, maize, and perennial grass, respectively, when the total above-ground biomass was converted to ethanol (Propheter et al., 2010). Genetic improvement is also expected to result in increased productivity. Most research with sweet sorghum has been done with selected lines while significantly more yield potential was found in northern China with sweet sorghum hybrids (Zhao et al., 2009).
\n\t\t\t\t
Sugar concentration along the length of sweet sorghum stalks is not uniform. The concentration of nonstructural carbohydrates in sweet sorghum was found to be 1.4 times higher in the upper and 2.7 times higher in the lower internodes compared with grain sorghum (Vietor & Miller, 1990). Sugar and sucrose concentration were found to be greater in the upper compared with the lower internodes at physiological maturity (Coleman, 1970). In another study, sugar concentration was highest at the seventh of 11 internodes (Krishnaveni et al., 1990). Stalk sugar concentration was usually higher at the middle stalk and least in the top 30-45 cm; the upper stem could be discarded in harvest without significant loss of sugar or juice yield (Janssen et al., 1930). Less concentration in older internodes may be due to less enzymatic activity compared with newer internodes, reducing their sink strength for sugar accumulation (Lingle, 1987). However, the mechanisms may be more complicated than enzymatic activities and sink strength and further investigation may be needed (Tarpley et al., 1994). Some cultivars partitioned a significant amount of carbohydrates to nodal tillers (Vietor & Miller, 1990).
\n\t\t\t
\n\t\t\t
\n\t\t\t\t
3.4. Fermentation efficiency and ethanol yields
\n\t\t\t\t
The theoretical yield of ethanol, which has a weight of 789 g L-1, was determined to be 720, 646, 680, and 370 L Mg-1 for starch, glucose or fructose, sucrose, and maize grain, respectively (Smith & Buxton, 1993). They estimated that 5% of the sugar is used to produce microbial growth and non-ethanol products. Efficiency of maize grain conversion to ethanol has continued to improve. It was estimated at 417 L Mg–1 corn grain in 2005 (Wang et al., 2005). Dry-grind ethanol conversion of 423 L Mg–1 corn grain was common in the ethanol industry in 2009 (Table 2; Wortmann et al., 2010). Other energy yield estimates for comparison are 16 MJ kg-1 for biomass combustion, 18.5 MJ kg-1 for gasified wheat straw, ethanol yield of 0.36 L kg-1 of wheat, 18.3 MJ kg-1 for processing wheat to ethanol accounting for drying of the by-product, 7 MJ kg-1 of fresh bagasse of 50% dry weight, and 3.2 MJ kg-1 theoretical ethanol energy yield of fresh bagasse (Monti & Ventura, 2003), but these vary with conversion process and biomass composition (McAloon et al., 2000). Other conversion values are reported in Table 2.
\n\t\t\t\t
Sweet sorghum juice can be converted to alcohol either by fermenting the juice or by fermenting the chopped stalks in a solid-state process (Rein, 1984). Alcohol conversion efficiency may be superior from chopped sweet sorghum than the corresponding juice. Fermentation efficiency can be improved by heating to 85o C and the addition of yeast at any temperature. Adding yeast reduced the temperature effect on fermentation efficiency and alcohol yield was maximized by heating juice to 60o C with addition of 0.25 g L-1 of yeast.
\n\t\t\t\t
The U.S. Department of Energy estimated potential sweet sorghum ethanol yield to be 5590 L ha-1 (U.S. Department of Energy, 1979). Several sweet sorghum cultivars have the potential of producing greater than 25 Mg dm ha-1 year-1 (Turhollow, 1994). In Iowa, ethanol yields of 11 sweet sorghum cultivars grown at six site-years ranged from 3850 to 4410 L ha-1 of ethanol production, assuming 95% extraction of sugars and 1.76 kg fermentable carbohydrate per liter of ethanol produced (Hunter, 1994). Other reported yields were 3050 to 4000 L ha-1 ethanol (Lueschen et al., 1991). Calculated ethanol yields were less in Nebraska U.S.A., averaging 1600 L ha-1 at a semi-arid location at 1300 m above sea level and ranging from 1800 to 4100 L ha-1 for locations with longer growing seasons and more precipitation (Wortmann et al., 2010).
\n\t\t\t
\n\t\t\t
\n\t\t\t\t
3.5. Bi-product use
\n\t\t\t\t
In addition to the ethanol produced by fermentation of sugar, other yield components of sweet sorghum may have biofuel or other value, including some grain yield and the bagasse remaining after juice extraction (Bennett & Anex, 2008). The grain and bagasse may be of value in animal feeding. The bagasse may be used in paper production, biofuel, or for soil application. Sweet sorghum hybrid varieties released in China have given biomass and grain yields of 25 and 5 Mg ha-1, respectively, at a temperate latitude (Hong-Tu & Xiu-Ying, 1986).
\n\t\t\t
\n\t\t\t
\n\t\t\t\t
3.6. Energy requirements and balances
\n\t\t\t\t
Total energy yield, net energy yield, and the ratio of energy gained to energy input need to be considered in comparing biofuel sources and in comparing biofuel to fossil fuel (Table 2 and 3). The values used in these calculations vary and need to be reported in published works. The estimated crop production input of energy per liter of potential ethanol yield was 6.42, 5.25, 6.35, and 5.95 MJ L-1, respectively, for maize, sweet sorghum, and sugar- and fodder beet grown in California U.S.A. (Reed et al., 1986). The respective theoretical ethanol yields are 4814, 5784, 7782, and 6886 L ha-1. Estimated energy consumption for sweet sorghum compared to maize production in Nebraska U.S.A. was greater for fuel and transportation but less for N fertilizer and irrigation (Table 3; Wortmann et al., 2010). Energy required for converting the product to ethanol was not estimated.
\n\t\t\t\t
The net energy gain was 17, 40 and 50% greater with sweet sorghum compared with fiber sorghum, wheat (Triticum aestivum L.) with no N, and wheat with N applied, respectively, assuming gasification of the crop residues (Monty & Venturi, 2003). The energy efficiency of ethanol production was estimated to be 90% compared with gasification.
\n\t\t\t\t
The average energy output to input ratio was 2.83 for sweet sorghum across seven site-years in Nebraska U.S.A. compared to 2.13 and 2.21 for ethanol produced from grain of maize and grain sorghum, respectively (Table 3). Mean energy consumption for ethanol produced from sweet sorghum was approximately 3300 MJ ha-1 compared with 8900 and 5800 MJ ha-1 for maize and grain sorghum, respectively. These calculations were made using the BESS model
\n\t\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t\t\t\t
\n\t\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\tMaize\n\t\t\t\t\t\t\t
\n\t\t\t\t\t\t\t
Grain sorghum
\n\t\t\t\t\t\t\t
Sweet sorghum
\n\t\t\t\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t\t\t\t
Grain or sugar yield, Mg ha-1\n\t\t\t\t\t\t\t
\n\t\t\t\t\t\t\t
7.94
\n\t\t\t\t\t\t\t
6.24
\n\t\t\t\t\t\t\t
2.85
\n\t\t\t\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t\t\t\t
N rate, kg ha-1\n\t\t\t\t\t\t\t
\n\t\t\t\t\t\t\t
107
\n\t\t\t\t\t\t\t
50
\n\t\t\t\t\t\t\t
0
\n\t\t\t\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t\t\t\t
Ethanol yield, L ha-1\n\t\t\t\t\t\t\t
\n\t\t\t\t\t\t\t
3361
\n\t\t\t\t\t\t\t
2639
\n\t\t\t\t\t\t\t
1892
\n\t\t\t\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t\t\t\t
Energy use rate, MJ L-1\n\t\t\t\t\t\t\t
\n\t\t\t\t\t\t\t
10.9
\n\t\t\t\t\t\t\t
10.4
\n\t\t\t\t\t\t\t
7.9
\n\t\t\t\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t\t\t\t
Energy yield, GJ ha-1 ††
\n\t\t\t\t\t\t\t
78.3
\n\t\t\t\t\t\t\t
60.9
\n\t\t\t\t\t\t\t
39.9
\n\t\t\t\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t\t\t\t
Energy consumed, GJ ha-1\n\t\t\t\t\t\t\t
\n\t\t\t\t\t\t\t
36.6
\n\t\t\t\t\t\t\t
27.5
\n\t\t\t\t\t\t\t
14.5
\n\t\t\t\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t\t\t\t
Net energy yield, GJ ha-1 ††
\n\t\t\t\t\t\t\t
41.6
\n\t\t\t\t\t\t\t
33.4
\n\t\t\t\t\t\t\t
25.3
\n\t\t\t\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t\t\t\t
Net energy ratio††
\n\t\t\t\t\t\t\t
2.13
\n\t\t\t\t\t\t\t
2.21
\n\t\t\t\t\t\t\t
2.70
\n\t\t\t\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t\t\t\t
Crop† energy use, MJ ha-1\n\t\t\t\t\t\t\t
\n\t\t\t\t\t\t\t
8932
\n\t\t\t\t\t\t\t
5791
\n\t\t\t\t\t\t\t
3294
\n\t\t\t\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t\t\t\t
Crop† CO2 emission, kg Mg-1\n\t\t\t\t\t\t\t
\n\t\t\t\t\t\t\t
77.5
\n\t\t\t\t\t\t\t
65.7
\n\t\t\t\t\t\t\t
90.4
\n\t\t\t\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t\t\t\t
Crop† CH4 emission, kg Mg-1\n\t\t\t\t\t\t\t
\n\t\t\t\t\t\t\t
0.080
\n\t\t\t\t\t\t\t
0.070
\n\t\t\t\t\t\t\t
0.073
\n\t\t\t\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t\t\t\t
Crop† N2O emission, kg Mg-1\n\t\t\t\t\t\t\t
\n\t\t\t\t\t\t\t
0.38
\n\t\t\t\t\t\t\t
0.26
\n\t\t\t\t\t\t\t
0.98
\n\t\t\t\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t\t\t\t
Crop† CO2e‡ emission, kg Mg-1\n\t\t\t\t\t\t\t
\n\t\t\t\t\t\t\t
192
\n\t\t\t\t\t\t\t
144
\n\t\t\t\t\t\t\t
385
\n\t\t\t\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t\t\t\t
Crop† CO2e emission, g MJ-1\n\t\t\t\t\t\t\t
\n\t\t\t\t\t\t\t
21.5
\n\t\t\t\t\t\t\t
16.2
\n\t\t\t\t\t\t\t
27.4
\n\t\t\t\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t\t\t\t
Life cycle CO2e emission, g MJ-1\n\t\t\t\t\t\t\t
\n\t\t\t\t\t\t\t
31.2
\n\t\t\t\t\t\t\t
28.4
\n\t\t\t\t\t\t\t
45.7
\n\t\t\t\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t\t\t\t
CO2e reduction, %§††
\n\t\t\t\t\t\t\t
66.1
\n\t\t\t\t\t\t\t
69.1
\n\t\t\t\t\t\t\t
48.8
\n\t\t\t\t\t\t
\n\t\t\t\t\t
Table 3.
†Values were calculated using the Biofuel Energy Systems Simulator (BESS; available at www.bess.unl.edu). Emission of N2O may be under-estimated for grain as the ethanol co-products were assumed to be fed to beef cattle, resulting in unnecessarily high protein rations with much excretion of urine-N that can be a significant source of N2O emission. This N2O emission was not considered in these calculations due to lack of good estimates. ‡ CO2e, total greenhouse gas emission expressed as CO2 equivalent.§ This was calculated assuming 92 gCO2e emission MJ-1 for gasoline.†† Grain crops included a standard energy and greenhouse gas co-product credit, while no co-product was included for sweet sorghum.
Mean estimated yields, CO2e emissions for grain and sugar produced, ethanol produced (g MJ-1), and energy balances of maize, grain sorghum, and sweet sorghum determined over seven site-yr in Nebraska U.S.A. (adapted from Wortmann et al., 2010).
\n\t\t\t\t
(Liska et al., 2009), and assumes processing in state-of-the-art ethanol plants and efficient use of the grain by-products in beef cattle feeding. In earlier work, the net energy ratio for sweet sorghum was estimated to exceed 2.0, with two units of energy recovered in the ethanol for each unit used for crop production and processing (Sheehan et al, 1978).
\n\t\t\t\t
Mean net energy yield in the Nebraska U.S.A. study was 31 GJ ha-1 for sweet sorghum compared with 41 and 33 GJ ha-1 for maize and grain sorghum, respectively (Table 3; Wortmann et al., 2010). The mean reduction in greenhouse gas emission in replacing gasoline with ethanol produced from sweet sorghum as transportation fuel was 53%. The reduction may be greater because of uncertainty of the estimated N2O emitted from decomposing bagasse, a major component of the greenhouse gas emission estimated on a carbon dioxide equivalent basis. In interpreting the results of comparing sweet sorghum with grain crops in Nebraska U.S.A., we must consider that grain crop production technology, including variety development, is much more advanced with the grain crops compared with sweet sorghum. Varietal differences indicated potential to increase productivity through genetic improvement. The potential of sweet sorghum hybrids compared with lines has been demonstrated (Zhao et al., 2009).
\n\t\t\t\t
The cost ha-1 of sweet sorghum production was found to be greater than for maize in California U.S.A. because of high harvest costs (Geng et al., 1989), but hexose yield was greater with sweet sorghum and the costs of producing ethanol were very similar. In another study, the calculated cost of ethanol energy production was $0.48, $0.53, and $0.58 L-1, respectively, for maize, sugarcane, and sweet sorghum under best production potential scenarios in Florida U.S.A. (Rahmani & Hodges, 2006); processing and harvesting were major expenses for sweet sorghum. The cost of converting sugarcane juice to ethanol was estimated to be $0.13 L-1 in Florida U.S.A. (Rahmani & Hodges, 2006); a similar cost may apply to converting sweet sorghum juice to ethanol.
\n\t\t\t
\n\t\t
\n\t\t
\n\t\t\t
4. Conclusion
\n\t\t\t
There are several obstacles to the development of sweet sorghum as a competitive bio-energy crop for the U.S.A. Great Plains with greater challenges for the northern compared with the southern part of the region. The primary limitations of sweet sorghum for bioenergy in the U.S.A. Great Plains and other temperate climate zones include seasonality of harvest and large masses to be transported and stored. Fermentation of the expressed juice must be initiated quickly after harvest to avoid sugar loss. The loss of fermentable sugars from storing fresh juice at room temperature may be 20% after three days and up to 50% after one week, although losses were minimal with refrigerated storage (Wu et al., 2008; Wu et al., 2010). In temperate climates, the harvest window for sweet sorghum is limited by length of the growing season. Seed production is costly because of low seed yield and usually very tall plants. Few open-pollinated or hybrid cultivars are available for production, although there appears to be potential for significant increases in productivity in temperate zones with hybrid sweet sorghums (Zhao et al., 2009). Integration of distillation and distribution of sweet sorghum ethanol into existing grain-based ethanol processing systems would take advantage of existing infrastructure and reduce the challenges of transport and storage of sweet sorghum stalks or juice. Developing the means of stabilizing sweet sorghum juice to minimize sugar loss during storage would improve the feasibility of temperate zone sweet sorghum production. Profitable use of the bagasse such as with cellulosic ethanol production, without significant loss of nutrients for recycling in crop production, would add to the feasibility of sweet sorghum as a biofuel crop. Where bagasse is best returned to the land, combining small-scale processing technology, such as small-scale juice extraction, fermentation, and distillation linked with refinement at larger scale facilities, may reduce storage and transportation costs while enabling efficient nutrient recycling.
\n\t\t
\n\t\n',keywords:null,chapterPDFUrl:"https://cdn.intechopen.com/pdfs/17885.pdf",chapterXML:"https://mts.intechopen.com/source/xml/17885.xml",downloadPdfUrl:"/chapter/pdf-download/17885",previewPdfUrl:"/chapter/pdf-preview/17885",totalDownloads:5492,totalViews:187,totalCrossrefCites:0,totalDimensionsCites:7,totalAltmetricsMentions:0,impactScore:2,impactScorePercentile:74,impactScoreQuartile:3,hasAltmetrics:0,dateSubmitted:"October 18th 2010",dateReviewed:"April 15th 2011",datePrePublished:null,datePublished:"August 29th 2011",dateFinished:null,readingETA:"0",abstract:null,reviewType:"peer-reviewed",bibtexUrl:"/chapter/bibtex/17885",risUrl:"/chapter/ris/17885",book:{id:"170",slug:"economic-effects-of-biofuel-production"},signatures:"Charles S. Wortmann and Teshome Regassa",authors:[{id:"27147",title:"Dr.",name:"Charles",middleName:null,surname:"Wortmann",fullName:"Charles Wortmann",slug:"charles-wortmann",email:"cwortmann2@unl.edu",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",institution:null},{id:"45612",title:"Dr.",name:"Teshome",middleName:null,surname:"Regassa",fullName:"Teshome Regassa",slug:"teshome-regassa",email:"tregassa2@unl.edu",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",institution:null}],sections:[{id:"sec_1",title:"1. Introduction",level:"1"},{id:"sec_2",title:"2. Sweet sorghum production",level:"1"},{id:"sec_2_2",title:"2.1. Growth and sugar content",level:"2"},{id:"sec_3_2",title:"2.2. Plant population and stand establishment",level:"2"},{id:"sec_4_2",title:"2.3. Water use",level:"2"},{id:"sec_5_2",title:"2.4. Fertilizer use",level:"2"},{id:"sec_7",title:"3. Harvest, juice extraction, and transport",level:"1"},{id:"sec_7_2",title:"3.1. Sweet sorghum stalk harvest",level:"2"},{id:"sec_8_2",title:"3.2. Stalk storage and juiced extraction",level:"2"},{id:"sec_9_2",title:"3.3. Sugar yield",level:"2"},{id:"sec_10_2",title:"3.4. Fermentation efficiency and ethanol yields",level:"2"},{id:"sec_11_2",title:"3.5. Bi-product use",level:"2"},{id:"sec_12_2",title:"3.6. Energy requirements and balances",level:"2"},{id:"sec_14",title:"4. Conclusion",level:"1"}],chapterReferences:[{id:"B1",body:'\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\tBarbanti\n\t\t\t\t\t\t\tL.\n\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\tGrandi\n\t\t\t\t\t\t\tS.\n\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\tVecchi\n\t\t\t\t\t\t\tA.\n\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\tVenturi\n\t\t\t\t\t\t\tG.\n\t\t\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t2006Sweet and fiber sorghum (Sorghum bicolor (L) Moench), energy crops in the frame of environmental protection from excessive nitrogen loads. 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J.\n\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\tCampbell\n\t\t\t\t\t\t\tL. G.\n\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\tHogaboam\n\t\t\t\t\t\t\tG. J.\n\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\tCoe\n\t\t\t\t\t\t\tG. E.\n\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\tFreeman\n\t\t\t\t\t\t\tK.\n\t\t\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t1987Evaluation of Sweet Sorghum for Fermentable Sugar Production Potential. Crop Sci., 27\n\t\t\t\t\t4\n\t\t\t\t\t788\n\t\t\t\t\t793\n\t\t\t\t\n\t\t\t'},{id:"B49",body:'\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\tSmith\n\t\t\t\t\t\t\tG. A.\n\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\tBuxton\n\t\t\t\t\t\t\tD. R.\n\t\t\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t1993Temperate zone sweet sorghum ethanol production potential. Bioresource Tech., 43\n\t\t\t\t\t1\n\t\t\t\t\t71\n\t\t\t\t\t75\n\t\t\t\t\n\t\t\t'},{id:"B50",body:'\n\t\t\t\tSoileau, J.M. & Bradford, B.N. (1985). Biomass and sugar yield response of sweet sorghum to lime and fertilizer. Agron. 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Crop Sci., 34\n\t\t\t\t\t2\n\t\t\t\t\t446\n\t\t\t\t\t452\n\t\t\t\t\t0001-1183X.\n\t\t\t'},{id:"B52",body:'\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\tTurgut\n\t\t\t\t\t\t\tI.\n\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\tBilgili\n\t\t\t\t\t\t\tU.\n\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\tDuman\n\t\t\t\t\t\t\tA.\n\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\tAcikgoz\n\t\t\t\t\t\t\tE.\n\t\t\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t2005Production of sweet sorghum (Sorghum bicolor L. Moench) increases with increased plant densities and nitrogen fertilizer levels. Acta Agriculturae Scandinavica, 55\n\t\t\t\t\t3\n\t\t\t\t\t236\n\t\t\t\t\t240\n\t\t\t\t\n\t\t\t'},{id:"B53",body:'\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\tTurhollow\n\t\t\t\t\t\t\tA.\n\t\t\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t1994The economics of energy crop production. Biomass and Bioenergy, 6\n\t\t\t\t\t3\n\t\t\t\t\t229\n\t\t\t\t\t241\n\t\t\t\t\n\t\t\t'},{id:"B54",body:'\n\t\t\t\t\n\t\t\t\t\tUS Department of Energy.\n\t\t\t\t\t1979The report of the alcohol fuels policy review, Report No. DOE/PE-0012. Washington, DC U.S.A.\n\t\t\t'},{id:"B55",body:'\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\tVermerris\n\t\t\t\t\t\t\tW.\n\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\tRainbolt\n\t\t\t\t\t\t\tC.\n\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\tWright\n\t\t\t\t\t\t\tD.\n\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\tNewman\n\t\t\t\t\t\t\tY.\n\t\t\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t2008Production of biofuel crops in Florida: Sweet sorghum. Available from http://edis.ifas.ufl.edu/ag298.\n\t\t\t'},{id:"B56",body:'\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\tVietor\n\t\t\t\t\t\t\tD. M.\n\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\tMiller\n\t\t\t\t\t\t\tF. R.\n\t\t\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t1990Assimilation, partitioning and nonstructural carbohydrates in sweet compared with grain sorghum. Crop Sci., 30\n\t\t\t\t\t5\n\t\t\t\t\t1109\n\t\t\t\t\t1115\n\t\t\t\t\t0001-1183X.\n\t\t\t'},{id:"B57",body:'\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\tVries\n\t\t\t\t\t\t\tS. C.\n\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\tde Giller\n\t\t\t\t\t\t\tK. E.\n\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\tIttersum\n\t\t\t\t\t\t\tM. K.\n\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\tvan \n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\tVen\n\t\t\t\t\t\t\tG. W. J.\n\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\tvan de \n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t2010Resource use efficiency and environmental performance of nine major biofuel crops, processed by first-generation conversion techniques. 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Cereal Chem. 82\n\t\t\t\t\t734\n\t\t\t\t\t738\n\t\t\t\t\n\t\t\t'},{id:"B59",body:'\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\tWiendenfeld\n\t\t\t\t\t\t\tR.\n\t\t\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t1984Nutrient requirement and use efficiency by sweet sorghum Energy Agr., 3\n\t\t\t\t\t49\n\t\t\t\t\t59\n\t\t\t\t\n\t\t\t'},{id:"B60",body:'\n\t\t\t\tWinberry, J. (1980). The sorghum syrup industry 1854-1975. In: Agricultural History, 2\n\t\t\t\t\t54\n\t\t\t\t\t343\n\t\t\t\t\t352\n\t\t\t\t\n\t\t\t'},{id:"B61",body:'\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\tWortmann\n\t\t\t\t\t\t\tC. S.\n\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\tLiska\n\t\t\t\t\t\t\tA. J.\n\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\tFerguson\n\t\t\t\t\t\t\tR. B.\n\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\tLyon\n\t\t\t\t\t\t\tD. J.\n\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\tKlein\n\t\t\t\t\t\t\tR. M.\n\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\tDweikat\n\t\t\t\t\t\t\tI.\n\t\t\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t2010Dryland performance of sweet sorghum and grain crops for biofuel. Agron J., 102\n\t\t\t\t\t1\n\t\t\t\t\t319\n\t\t\t\t\t326\n\t\t\t\t\n\t\t\t'},{id:"B62",body:'\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\tWu\n\t\t\t\t\t\t\tX.\n\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\tStaggenborg\n\t\t\t\t\t\t\tS.\n\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\tPropheter\n\t\t\t\t\t\t\tJ. L.\n\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\tRooney\n\t\t\t\t\t\t\tW. L.\n\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\tYu\n\t\t\t\t\t\t\tJ.\n\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\tWang\n\t\t\t\t\t\t\tD.\n\t\t\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t2008Features and fermentation performance of sweet sorghum juice after harvest, Paper presented at the ASABE meeting, Providence, RI U.S.A.\n\t\t\t'},{id:"B63",body:'\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\tWu\n\t\t\t\t\t\t\tX.\n\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\tStaggenborg\n\t\t\t\t\t\t\tS.\n\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\tPropheter\n\t\t\t\t\t\t\tJ. L.\n\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\tRooney\n\t\t\t\t\t\t\tW. L.\n\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\tYu\n\t\t\t\t\t\t\tJ.\n\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\tWang\n\t\t\t\t\t\t\tD.\n\t\t\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t2010Features of sweet sorghum juice and their performance in ethanol fermentation. Industrial Crops and Products, 31\n\t\t\t\t\t1\n\t\t\t\t\t164\n\t\t\t\t\t170\n\t\t\t\t\n\t\t\t'},{id:"B64",body:'\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\tYoneyama\n\t\t\t\t\t\t\tT.\n\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\tTerakado\n\t\t\t\t\t\t\tJ.\n\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\tMasuda\n\t\t\t\t\t\t\tT.\n\t\t\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t1998Natural abundance of 15N in sweet potato, pumpkin, sorghum, and castor bean: possible input of N2-derived nitrogen in sweet potato. Biol. Fert. Soils, 26\n\t\t\t\t\t2\n\t\t\t\t\t152\n\t\t\t\t\t154\n\t\t\t\t\n\t\t\t'},{id:"B65",body:'\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\tZhao\n\t\t\t\t\t\t\tY. L.\n\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\tDolat\n\t\t\t\t\t\t\tA.\n\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\tSteinberger\n\t\t\t\t\t\t\tY.\n\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\tWang\n\t\t\t\t\t\t\tX.\n\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\tOsman\n\t\t\t\t\t\t\tA.\n\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\tXie\n\t\t\t\t\t\t\tG. H.\n\t\t\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t2009Biomass yield and changes in chemical composition of sweet sorghum cultivars grown for biofuel. Field Crops Res.\n\t\t\t\t\t111\n\t\t\t\t\t1-2\n\t\t\t\t\t55\n\t\t\t\t\t64\n\t\t\t\t\n\t\t\t'}],footnotes:[],contributors:[{corresp:null,contributorFullName:"Wortmann Charles S.",address:null,affiliation:'
Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, USA
Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, USA
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1. Introduction
1.1. Coral reef decline and the erosion of social-ecological systems
Coral reefs have largely lost species diversity, ecological functions, ecosystem resilience, and socio-economic benefits across regional to global scales over the last four to decades. These have resulted from a combination of impacts from extreme natural hazards (e.g., hurricanes and tsunamis), from multiple localized human drivers [1, 2, 3, 4, 5], and from climate change [6, 7]. This has often resulted in a largely reduced ability to recover from acute, recurrent or chronic disturbances, compromising their capacity to sustain biodiversity, ecosystem services, local economies, and threatening the sustainability and resilience of social-ecological systems [8]. This is a particular concern for low-lying coastal communities and for small tropical islands, which often have very significant governance limitations, as well as limited socio-economic capital to cope with disasters. In this context, coral farming and reef rehabilitation efforts are becoming increasingly important strategies to incorporate in the coastal management toolbox, but which have never yet been implemented as strategies to address issues related to restoring the resilience of coastal social-ecological systems.
Ecological resilience can be defined as the buffering capacity or the “ability of a system to absorb changes of state variables, driving variables, and parameters, and still persist” [9]. In this context, resilience is a property of a system, and persistence or probability of extinction can be the result, depending on the system’s trajectory and stability. Stability is the ability of a system to return to an equilibrium state after any disturbance [9]. The more rapidly a system returns, and with the least fluctuations, the more stable it is. However, under present rapidly declining of coastal social-ecological systems, mostly coral reefs, stability has also declined, so the ability of systems to absorb and recover from disturbance. Therefore, any long-term trend resulting in the net erosion of the stability of a social-ecological system can threaten its long-term resilience, and may result in a combined loss in the ecological (e.g., biodiversity, functional redundancy, ecosystem services) and social persistence (e.g., local economy, livelihoods). The geographical isolation of small islands, in combination with historical socioeconomic and political constraints, increasing threats by sea level rise (SLR) and climate change, can often magnify vulnerability to such impacts [8], and may result in a net erosion of social resilience.
Social resilience was defined as “the ability of groups or communities to cope with external stresses and disturbances as a result of social, political and environmental change” [10]. Social resilience is a fundamental characteristic of ecosystems which has still remained poorly addressed, but which is critical to maintain ecosystems functions and services in the face of disturbance, including extreme weather events (e.g., hurricanes), natural hazards (e.g., tsunamis), chronic human-driven environmental degradation, SLR, and climate change. There is a clear link between social and ecological resilience, particularly for coastal communities, and small island nations that are largely or fully dependent on ecological and environmental resources for their economy and local livelihoods.
Exposure and sensitivity to hazards of coastal social-ecological systems are largely dependent on the ecological status and vulnerability to disturbance of coral reefs. Reducing exposure and sensitivity requires maintenance and enhancement of reef ecosystems functions through sustainable management and use [11]. In this context, coral farming and reef rehabilitation have become fundamental management tools to engage base communities in sustainable social-ecological systems management. It would also be important to maintain the local memory of resource use, and foster the development of learning processes for responding to environmental feedback and social cohesion [11]. Therefore, base-community engagement in coral farming and reef restoration must also be coupled with hands-on education and training, with the aim of achieving long-term local empowerment, stewardship and support. The other critical element of vulnerability of coastal social-ecological systems is adaptive capacity. Sustaining coastal social-ecological systems requires the recovery of biodiversity in ecological systems, and expanding the diversity of the local economic livelihood portfolio. Both alternatives can be readily achieved through low-tech, community-based coral farming and reef rehabilitation. However, an important challenge is the need to empower local to national governance structures and social capital, bridging gaps among local communications, academia, private organizations, and government for integrative responses, and building horizontal, cross-sectorial networks in society for social learning.
Nevertheless, bridging the gap between decision-makers, natural resource managers, empirical academic research in regards to coral farming and reef rehabilitation, and the socio-economic component of these efforts have remained poorly explored, and still remains as a top challenge to overcome across local, national and regional scales. Understanding the critical value of integrating question-driven research in reef rehabilitation efforts is paramount to advance knowledge and to communicate that technical knowledge to base communities and local stakeholders. One such component is to integrate coral demographic dynamics and modeling into active reef rehabilitation efforts. But also, the integration of lessons learned from sociological dynamics in regards to coral farming and reef rehabilitation is a highly necessary added value that should contribute to improve future projects.
Therefore, lessons learned regarding the need to understand the mechanisms of improving the management of both, the ecological and the social components of coastal tropical systems is essential to improve management success, and to foster an improved education, stewardship and participation of base communities in coastal management. This makes necessary to examine the role of assisted recovery of depleted coral diversity, restoring coral functional groups, and the rehabilitation of coral reefs at the reefscape, functional level, as a new strategy to buffer and restore present declining trends.
1.2. Goals and objectives
The goal of this chapter is to briefly update the state of knowledge regarding applied coral demographic dynamics to low-tech coral farming and reef rehabilitation efforts, mostly using case studies of restored populations of endangered Staghorn coral, Acropora cervicornis. Important elements associated with coral demographic and oceanographic modeling have also been addressed as decision-making tools regarding its application to large-scale restoration efforts. Also, sociological lessons learned, which are often overlooked, have been discussed, including: volunteer work, team assemblage, building local support and stewardship, and socio-economic benefits. Most of the discussed examples are derived from lessons learned through the Community-Based Coral Aquaculture and Reef Rehabilitation Program established in 2003 in Culebra Island, Puerto Rico, by non-governmental organization (NGO) Sociedad Ambiente Marino.
2. Lessons learned from coral demographic dynamics
2.1. Coral demographic modeling in reef rehabilitation
Whether any given population increases, decreases, remain stable or face extinction depends upon the rates at which an individual grows, die, and reproduce. Most conservation and management-oriented efforts are intended to increase population growth rate of the targeted species until reaching a growing or stable state and identifying which vital stage(s) is (are) essential for the conservation and management of an endangered or threatened species. Demographic-based population models are convenient and efficient tools that not only allow to perform population viability analyses, but also allow a detailed examination of the relationship between demographic traits/rates and population growth rate (λ). One of the strengths of demographic-based population models is that they take into consideration the influence of the developmental stage (age, size, and stage) on individual’s vital rates and link it to the population level [12]. At the same time, demographic models can be subjected to prospective (e.g., sensitivity and elasticity) and retrospectives (Life Table Response Experiment) analyses to examine the relative importance of each of the vital rates on λ and to investigate the effects of physical and biological disturbances on the population dynamics of a target species [13, 14]. Prospective analyses (e.g., sensitivity and elasticity) looks at how λ would respond when a particular life cycle transition is perturbed [12]. Life Table Response Experiment analysis, on the other hand, provides information on how much variation in a particular life cycle transition contribute to the observed differences in λ between treatments (e.g., restoration vs. no restoration). Another advantage is that models can be manipulated to assess how any given population would respond to changes in any of the vital rates (e.g., reproductive failure, mass mortality) or any given restoration initiative; thereby providing the basis for the design of future restoration and conservation projects under variable environmental conditions, climate change-related scenarios, etc.
In the last couple of decades, demographic-based population models (e.g., population matrix models and integrated population models) have become an essential part of conservation studies [15]. However, few coral biologists have applied demographic-based population models to answer specific conservation questions (but see [16, 17, 18, 19]). Vardi et al. [17] and Mercado-Molina et al. [18] used size-based population matrix models have been used to describe the demography and population dynamics of threatened coral species Acropora palmata [19] and A. cervicornis, respectively [18]. They found that the demographic transition that contributes the most to local λ is the survival of large colonies. Thereby, providing evidence that restoration and conservations efforts of these corals species should be focused on enhancing the probability of large colonies to survive. Mercado-Molina et al. [20, 21] found that both growth and branching rates of A. cervicornis increase with size. Therefore, positive contribution of large colonies to λ, at least for A. cervicornis, can be partly explained by (1) a rapid growth that can allow the colony to reach a refuge size in which mortality associated with diseases, predation, and bleaching can be considerably reduced; and (2) an increase in the number of branches with the potential to be detached from the parental colony and become established as an independent colony, contributing to faster formation of thickets.
Demographic transitions and population growth rates of A. palmata were relatively stable over a 6-year study period, except for a hurricane year which naturally caused a significant decline in population growth rate [17]. In contrast, spatiotemporal differences both in the transitions rates and λ of A. cervicornis were observed [18]. These contrasting results indicate that even when A. cervicornis and A. palmata share similar life cycles, their demography varies considerably. Therefore, conservation and restoration activities should be designed at the species-specific level whenever possible, with separate specific goals and objectives. The spatiotemporal differences in demographic transitions displayed by A. cervicornis [18] also suggest that restoration efforts should be partitioned among several locations rather than allocating all the resources into one site. This action will enhance the persistence of the species if localized extirpation occurs due to spatial variability.
2.2. Modeling as decision-making tools
The current limitation in human, technical, and economic resources, together with multiple frequent logistical constraints, have made coral conservation a difficult task, especially in small islands, and when long-term studies are not feasible or available. The most basic demographic parameter that can be obtained using demographic modeling is the intrinsic population growth rates, lambda (λ). When λ = 1, the population is stable, if λ < 1 the population is decreasing in size, and when λ >1 then the population is growing positively. Thus, by directly estimating λ practitioners can determine whether a given population needs management attention. Using population models to project population size over time is one of the most attractive alternatives to understand how any given wild or restored population would behave under different restoration and conservations scenarios (see [17, 18, 20]). Studies by Mercado et al. [18, 20] coincided in that without human intervention (e.g., coral out-planting) local A. cervicornis population growth in the wild is not granted. However, contrary to the A. palmata populations [17], which are expected to remain stable (no significant growth, no significant decline) over time, A. cervicornis populations can go extinct in less than two decades [18, 20]. Such contrasting population trajectories may be the result of A. cervicornis being more susceptible to low and moderate environmental changes [18, 22]. Therefore, A. cervicornis is more at risk of localized extinction than it is congeneric. Indeed, A. cervicornis colonies are much more ephemeral than A. palmata (e.g., they suffer a high rate of complete mortality and complete colony dislocation) [22]. This implies that continuous low-tech coral farming and out-planting efforts are fundamental to sustain restored populations in the wild.
The initial size of the coral transplant needs to be taken into consideration to assure the success of any restoration project [17, 18]. Both studies concluded that transplanting large colonies will result in higher population growth rates than transplanting small colonies, as many standard coral farming operations do, at least across the Caribbean. However, transplanting large colonies pose some challenges; specifically, regarding the time necessary for a nursery-reared coral fragment to reach the effective transplantation size [18]. However, numerical simulations have demonstrated that increasing the number of small-sized transplants of A. cervicornis enhances the probability of population stability [18]. For an initial population size of 150 A. cervicornis colonies, transplanting 50–75 fragments ≤100 cm in Total Linear Length (TTL) annually would result in a positive population growth rate.
Population models can also be used to test the effectiveness of different management regimes (e.g., intensity, environmental and climate change scenarios) such as alternating times of out-planting and nonout-planting. So far, only Vardi et al. [17] have published results by taking such approach. They projected A. palmata population size under a scenario that alternate 2 years with no out-planting and 5 years in which 1000–3000 colonies are transplanted, followed by an additional 13 years with no out-planting. Under such management design, populations will grow positively over time. Therefore, it can be argued that such management plan is appropriate to assure the persistence of the impacted population. Figure 1 shows a simulation based on the model developed by Mercado-Molina et al. [18] for two wild populations of A. cervicornis in northeastern Puerto Rico, in which the effect of two out-planting scenarios on local population abundance was simulated. The scenarios considered the out-planting of 1000 colonies for two and five consecutive years, respectively. These scenarios were based on the fact that most restoration projects are funded for less than 5 years and for the number of fragments that in our experience can be produced in 1 year in our nursery units. The results indicated that under such out-planting regimes populations would not be able to persist over time. This outcome, together with simulations run by Mercado-Molina et al. [18], led us to conclude that restoring populations of A. cervicornis by out-planting coral fragments is a feasible strategy, but one that requires sustained human intervention.
Figure 1.
Numerical simulation based on the model developed by Mercado-Molina et al. [18] for two wild populations of Staghorn coral (Acropora cervicornis) in northeastern Puerto Rico, in which the effect of two out-planting scenarios on local population abundance were assessed.
2.3. Increasing the spatial scale of reef rehabilitation
One of the major limitations of coral reefs restoration is that all projects so far are small in spatial scale, often varying from tens to hundreds of m2, with a limited number of projects ranging between 100 s m2 to less than 1 km2. Increasing the spatial scale of reef rehabilitation is essential, at least for A. cervicornis, because its demography varies considerably in time and space. Increasing the spatial scale of population rehabilitation will increase the probability of species persistence. Coral out-plant spatial array is also critical for the formation of thickets. Before the 1980s, A. cervicornis used to dominate the seascape of shallow-water reefs by monopolizing vast areas of the substrate [23]. It is necessary to take conservation and/or restoration initiatives directed at re-establishing the large thickets this coral used to form. The Acropora Recovery Plan [24] established the development of A. cervicornis thickets as a major goal of restoration projects. However, there is still scarce information regarding the demographics and dynamics of thicket formation that could be used as a basis for the design of management strategies. But model thicket formation can use novel approaches such as individual-based dynamical automaton models (IBDA) [25, 26], and use the predictions of the model to determine the number and spatial arrangement of out-plants that will maximize the likelihood of thicket formation, and improve reef restoration strategies and spatial designs.
Increasing the spatial scale is also important for increasing the recovery of fish assemblages and rehabilitating reef processes. However, there is still a significant information gap regarding the role of coral reef restoration on enhancing essential fish habitats and fish assemblages. Fish assemblages are sensitive to the spatial heterogeneity of the benthos [27] and habitat condition [28]. Any disturbance resulting in mass coral mortalities [29], benthic community regime shift [30], and in loss of benthic spatial heterogeneity [31] should adversely affect coral reef fish assemblages. Therefore, management strategies aimed at rehabilitating depleted fish assemblages should include coral out-planting at increasing spatial scales and/or focused on developing habitat mosaics as a mechanism to restore benthic spatial heterogeneity.
Also, increasing coral reef rehabilitation spatial scale is a fundamental step necessary to achieve progress in restoring and managing coastal resilience (e.g., wave buffering, reducing shoreline erosion rates). But fundamental questions associated with coral reef restoration projects at sites, where wave energy reduction is an important design criterion. What is the degree of wave attenuation that can be expected from out-planting Elkhorn coral (Acropora palmata) at the selected sites? What factors (how big should colonies be at out-plant, how far apart, thicket size, shape, and spatial arrangement, water depth, local wave climate, etc.) should be considered when designing a coral reef restoration project in order to maximize wave energy dissipation? What are the expected costs for downscaling numerical wave models for different locations? What data should be collected to successfully simulate the performance of the proposed coral restoration activities? What other data on coral health should be collected to better inform the modeling efforts? These are areas which are being currently investigated at the University of Puerto Rico, which should provide new light in regards to the potential application of coral reef restoration as a novel coastal resilience management strategy.
2.4. Next steps in coral reef restoration
The next logical steps in coral reef restoration have mostly to do with improving ex situ propagation of coral larvae, enhancing the effectiveness of micro-fragmentation techniques to foster a higher number of small colonies and faster initial growth rates of massive coral species, improving the ability to discriminate and propagate different genetic clones, and improving the spatial scale of coral out-planting to achieve faster and functional coral patch or thicket formation. Furthermore, there is a critical need to figure out: (a) how to distribute available funding more fair and evenly, and how to achieve economic auto-sustainability; (b) how to shift the standard institutional short-term, isolated vision of projects to a long-term goal-driven program (c) how to develop some standardized farming, maintenance, and out-planting practices; (d) how to implement standardized integrative metrics of success (e.g., from colony to ecosystem level); (e) how to foster, achieve and support community-based and NGOs participation in these projects; and (f) how to foster the creation of functional partnerships among government institutions, the academia, NGOs, base communities, and other private sectors. But there are still a few limiting components associated with low-tech coral reef restoration efforts that still must be quickly addressed.
2.4.1. Lack of knowledge of Staghorn coral (Acropora cervicornis) branching dynamics
Despite colony branching dynamics is the basis for Acropora cervicornis restoration projects, little is known about branch production of the species. Branching rates in this species growing in nurseries and in colonies out-planted to the reef, respectively, increase with colony size [19, 20, 32]. Thus, growing large-sized colonies in nurseries, as well as those colonies out-planted to the reef, may result in greater number of branches available for a restoration project, increasing the potential coral propagule abundance available for future restoration efforts. At the same time, out-planting large colonies would result in colonies with higher levels of branching complexity in relatively shorter time than transplanting small single-branched fragments, which favor faster thicket formation. It is known that more complex coral colonies promote reef biodiversity [33, 34]. Still missing, however, is information about the intrinsic (i.e., genetics) and extrinsic (i.e., temperature; light) factors that stimulate/limit branch production. Such information is essential, for example, to select the sites for the deployment of nursery units, select the most appropriate sites for restoration, and estimate the number of branches that can be produced for restoration purposes and future natural asexual propagation in the wild.
2.4.2. Increasing the spatial scale of reef rehabilitation
Increasing the spatial scale of population rehabilitation will increase the probability of species persistence for most corals. Nevertheless, the process of selecting the sites to be restored is not based on empirical data about the demographic performance of targeted corals, but rather on the assumption that the historical or current presence of any given species (e.g., A. cervicornis) reflects the appropriate conditions for the development of the species. Also, site selection might often be based on the perceptions that water transparency, deeper environments, or high distance from potential pollution sources represent the most suitable habitat conditions for out-planting. Site selection can be critical for coral restoration success as poor site condition can be detrimental [35]. Even low to moderate differences in local biotic and abiotic conditions can have profound effects on λ [12]. Also, preliminary results by Hernández-Delgado (unpub. data) suggest that the abundance and widespread dispersion of invasive red encrusting algae Ramicrusta textilis (Rhodophyta, Peyssonneliaceae) is a critical factor affecting the survival and growth of A. cervicornis, even under remote conditions and high water transparency. Accordingly, a better criterion of restoration success should be the local population growth rate of A. cervicornis, rather than presence/absence of the species.
2.4.3. Most restoration projects are not firmly grounded on quantitative demographic analyses
Because population growth rate is inevitably linked to individuals’ survival, growth, and reproduction, effective conservation initiatives require knowledge on how variation in vital rates relate to variations in population growth. Population studies focused on restored populations of A. cervicornis have not been firmly grounded on quantitative demographic analyses [19]. Several population studies have estimated rates of colony growth and survival [36, 37, 38]. None, however, identified how spatiotemporal variations in outplants survival, growth, and rates of recruitment (e.g., number of outplants) affect λ of restored populations. The lack of studies that directly evaluate the population response to demographic variability limits our capacity to develop effective restorations initiatives. Very few studies have attempted to address essential questions such as: How long restored populations would last without human intervention? How many fragments would be necessary to keep populations viable? How often out-planting activities need to be carried out to assure the persistence of the restored populations? Which is the effective colony size of transplantation? The answers to these questions are fundamental for the development and success of restoration activities. And demographic modeling can lead the way to answer them.
2.4.4. Short-term funding: a roadblock to long-term success
Funding is a major factor limiting the development and success of restoration projects. Most of the projects are funded for 1–3 years [39]. This short period of economic support certainly limits the amount of spatiotemporal demographic data that can be used to parameterize population models. Indeed, the low spatiotemporal resolution is one of the main criticisms raised by many researchers against the use of population modeling for conservation purposes. More data is always better; however, “limited” data must not discourage the use of demographic and population modeling as a tool for the development of restoration initiatives. Collecting data for an undetermined amount of time waiting to obtain “robust” demographic data to parameterize any given model might just be too late for a threatened species whose populations are declining very rapidly.
One year of demographic data is the minimum amount necessary to perform a basic population model based on estimates of population growth rates. The demography of many marine clonal/modular organisms has been successfully described using ≤2 year of demographic data [13, 16, 40, 41, 42, 43, 44]. The relatively “short time frame” of these studies has not impeded making a significant contribution to our understanding of coral demography. In fact, most of the studies focusing on the demography of corals are short-term (≤4 year). This is not surprising, given the limited resources available to monitor populations of conservation concern. On the other hand, studies considered “long-term” (5> year) have been focused, with the exception of Vardi et al. [17], on massive species such as Porites astreoides, Pseudodiploria strigosa, and Orbicella (Monstastraea) annularis, which contrary to Acropora cervicornis, are characterized by low growth rates and therefore require higher temporal resolution to detect changes in demographic transitions [45, 46].
If the intention is to conduct demographic analyses that take into consideration environmental variability, both in space and time, then at least 2 years of demographic data are necessary. It is well established in the demographic literature that two temporal points (2 years) are sufficient to perform the stochastic analyses (e.g., population viability analysis, stochastic population growth). Morris et al. [47], in their book “A Practical Handbook for Population Viability Analysis (PVA),” stated that demographic data on a subset of life stages for only 1–2 years” is sufficient to make a population viability analysis “profitable.” Fieberg and Ellner [48] recognized that “[Stochastic matrix] models are typically parameterized using two or more sets of estimated transitions rates between age/size/stage classes.” Likewise, using two annual transitions to perform demographic analyses (e.g., PVA, stochastic population growth) is more suitable [12]. It is important to note, however, that demographic and population models are not crystal balls that predict the future of a population under a certain set of conditions. Nature cannot be replicated, and as such the results of any given model need to be considered as possible population outcomes which should be combined with the best information available to take educated conservation decisions for this species.
2.4.5. Coral reef rehabilitation to restore ecological connectivity
Depending on the configuration of coral out-planted patches, its spatial distribution and the temporal extension of coral reef rehabilitation efforts it may become a critical tool to manage ecological connectivity among adjacent reef systems. The whole concept has to do with fostering enhanced depleted coral stocks, therefore, increasing local populations’ reproductive potential and output. This will allow increased gamete release, reduced gamete waste, reduced Allee effect, and enhanced probabilities of sexual reproduction and recruitment. In theory, this would allow to enhance genetic recombination, improve population fitness, and allow for increased connectivity with downstream reef systems. For this to be successful, understanding local to regional oceanographic dynamics is fundamental. Thus, numerical wave model development, as well understanding often complex surface circulation patterns, is very important as a planning tool to shape future long-term coral reef restoration initiatives. Indirectly, this can also become a very important indirect component of reef fish conservation and restoration management as restored coral reefs can restore benthic spatial heterogeneity and rehabilitate essential fish habitat functions across ecologically connected scales fundamental for reef fish dispersal.
3. Lessons learned from fish community dynamics
3.1. Impact of community-based reef rehabilitation on fish communities
Coral reef rehabilitation results in increased benthic spatial heterogeneity, which enhances microhabitats for fish shelter on local scales. Post-larval and juvenile grunts (Haemulon spp.) have shown up to 10-fold increase or more in abundance in areas where Acropora cervicornis has been out-planted (Hernández-Delgado and Suleimán-Ramos [49]). But also, multiple other taxa show significant increases in fish abundance and biomass. Ongoing studies by Hernández-Delgado have shown that juvenile guilds of multiple families, such as parrotfishes (Scaridae), wrasses (Labridae), damselfishes (Pomacentridae), blue tangs and doctorfishes (Acanthuridae), and predators, such as snappers (Lutjanidae) and groupers (Serranidae) can increase in abundance and biomass, in comparison to adjacent control sites without out-plants, or in comparison to restored sites before out-planting. There is also an increase in fish abundance and biomass with increasing thicket age, comparing 1-, 2-, and 4-year-old patches. Further, areas located within the Canal Luis Peña no-take Natural Reserve showed higher fish density and biomass, in comparison to control sites outside the reserve exposed to fishing. Therefore, preliminary evidence already points out at the emerging role of low-tech community-based coral reef rehabilitation as a highly useful tool to restore and rebuild coral reef-based fisheries.
3.2. Impacts on herbivory
Ongoing studies by Hernández-Delgado have also shown increased abundance and biomass of fish and invertebrate herbivore guilds. As mentioned above, parrotfishes (Scaridae) and acanthurids are among the most abundant fish taxa across reef rehabilitation sites, in comparison to areas with no coral out-planting. Further, Acropora cervicornis out-planting has resulted in increased abundances of the Long-spine urchin (Diadema antillarum). This has resulted in increased herbivory upon macroalgae and algal turf, and in increased percent cover of crustose coralline algae (CCA). Over temporal scales of 5–10 years, this has resulted in higher coral sexual recruitment rates across restored areas.
4. Sociological lessons learned
4.1. Building local support and stewardship of social-ecological systems
Building local support and stewardship of social-ecological systems is a critical process for achieving success in any community-based marine protected area (MPA) participatory management or co-management effort. Community-based coral farming and reef rehabilitation also requires such support and stewardship. Multiple environmental problems frequently raise concern on residents of coastal communities, and a few highly concerned people assume the community leader role hoping to find solutions. However, at least in Puerto Rico, most base-community members lack the technical and scientific resources to meet the minimum and urgent needs of their community. Therefore, a basic step for successfully achieving solutions is to organize, establish a goal and delineate a functional plan to achieve objectives. But this may often require seeking technical and scientific support from the academia and NGOs. Integrating multiple stakeholders in coral farming and reef rehabilitation efforts is a key for overcoming such obstacles.
Community-based leaders can often provide a fundamental historical background that can provide valuable information to understand and resolve problems. Traditional ecological knowledge has been significant for success in Culebra Island and at Vega Baja, Puerto Rico. Particularly, old fisher folks can provide very detailed information regarding the ecological history of local coral reefs that can help rebuild local environmental history and identify coral reef rehabilitation strategies. In addition, the interaction among base communities, NGOs, the academia, the private sector, and the government can allow and strengthen the development of trust. This is a critical element for achieving successful transparent collaboration in social-ecological systems. Building up such local partnerships will foster building stronger functional networks, with the support and respect from agencies and private institutions. It can also strengthen outreach and educational efforts through a combination of hands-on training activities, workshops, and other methods to generate commitments among the stakeholders who traditionally adopt roles as volunteers as they feel confident and dominate different skills.
Another key element to build local stewardship and support are exchanges and cross-sharing of experiences with sister organizations and base communities to share knowledge, and lessons learned in support of each other’s work. Networking, among different sectors, can further allow strengthening communication and sharing of experiences.
4.2. Building a volunteer network
Building up a strong and consistent volunteer network is another key to success. This can be achieved through proper organization, direction, well-established goals, and a functional, realistic work plan. There is also a need to integrate educational and hands-on training to develop and strengthen theoretical and technical skills, build stewardship and compromise, assign roles and tasks, etc. Even the difference in personalities and needs can provide a wide range of opportunities for participation. Individuals have different needs, from basic nutrient supplementation, to self-realization. Different needs function as motivation in performing tasks beyond satisfying personal needs. The collective need of volunteers represents the necessity of their environments or communities.
A transparent dialog between volunteers and collaborators can help build up cooperative working links serving different needs for the same adversity. Further, building up large teams of volunteers can help to have always people available for labor-intensive field work, preventing burning out the same group of people. It is therefore important to know about your volunteers, their interests, needs, their chemistry as a group, their personalities, and their strengths and weaknesses.
4.3. Team assemblage
A fundamental step in achieving team success is the selection process of proper members of a coral farming or reef rehabilitation team. Team technical leadership is important to provide direction during planning and field work. Personality issues, individual responses and performance to different specific tasks and roles, and differences in strength and weaknesses are also important elements to consider. Understanding the profile of volunteers, their needs, and the different characters and temperaments can allow making a good distribution of the workforce, avoid conflicts that impede the growth of the organization, as well as the fulfillment of goals and objectives.
4.4. How to overcome lack of funding?
Lack of long-term commitment by funding sources can be a major obstacle for advancing project’s goals and achieving success. Lack of commitment by government agencies and funding institutions, indifference by private businesses and tourism industry, and the lack of a long-term vision of projects goals can lead to rapid failure. Therefore, the need to engage local community, build stewardship, volunteerism, integration of university students through research and first laboral experience programs, etc., becomes instrumental to buffer limited funding, and to strengthen management of coastal social-ecological systems. Nevertheless, in a time of significant socio-economic constraints, there is a need to explore alternative funding avenues from multiple auto-sustainable economic strategies. These might include alternatives such as: (1) “Adopt a coral” program—aimed at the general public and the private sectors, including options such as: adopting an individual coral, a determined number of colonies, a coral thicket, a reef patch or an entire reef; (2) Develop a “Reef sponsoring program” for private corporations—aimed at developing a sponsoring program that may also have different levels of support; (3) Develop crowd funding strategies through the web—aimed at using the world wide web to develop a cyber-campaign for raising awareness about coral farming, reef conservation and restoration, and for fundraising for any given project, with usually a goal-driven funding limit for a specific project; (4) Establish a system of green taxes—aimed at auto-sustaining natural resource management, including activities such as MPA management, mooring buoy maintenance, patrolling, outreach and education, guided tours, coral farming, and reef rehabilitation, among others. Green taxes can be derived from multiple tourism-based activities such as airplane landing fees, cruiseship taxes, private yacht taxes, SCUBA diving and snorkeling charter boat operations, kayaking, vehicle rental, hotels, etc.; and (5) Establish different sources of funding from different government revenue collection systems—this may include through specific taxes to luxury yachts, vehicles and properties, from liquor and cigarette expenses, from industrial revenues, etc.
Under current local, regional, and global socio-economic decline, it is paramount to develop and implement creative strategies for seeking financial support. But to achieve this, strengthening local organizations, building up strong partnerships with different sectors, and fostering community-based participation are fundamental steps.
4.5. How to overcome other roadblocks?
Even successful community-based and academic projects can face multiple roadblocks in their day to day work. Aspects such as permitting bureaucratic processes, access to restoration sites, beach access issues, privatization and roadblocks, conflicts with other uses (e.g., tourism, charter boats, kayaking, fishing, and navigation), lack of prioritization of coral reef rehabilitation by local/national government institutions, lack of local community stewardship and support, indifference by private businesses, etc., can all be deleterious for project’s success. If any or at least some of these factors are present in any project there will be a need to improve outreach and educational campaigns to strengthen project’s pertinence to local stakeholders and institutions, and to strengthen social-ecological systems resilience. Also, it would be important to build up communication channels with private entities and show the benefits that successful coral farming and reef rehabilitation can bring to their businesses. Achieving such collaborative support would be important to strengthen economic support.
4.6. How to overcome uncertainties and change?
Management of uncertainties and change under projected environmental and climate changes constitute a major challenge. For instance, increasing frequency and/or strength of hurricanes fuelled up by increasing sea surface temperature (SST), if combined with weak governance, can result in major crisis. In situations where uncertainties and change are key features of the social-ecological landscape, critical factors for sustainability and rapid recovery are resilience, the capacity to cope with crisis and adapt, and the conservation of sources of innovation and renewal [50]. Such is the case of the impact of extreme weather events and ecological surprises impacting coral farming and reef rehabilitation. However, interventions in social-ecological systems with the aim of altering resilience immediately confront issues of governance. Who decides what should be made resilient to what is a critical question for any reef rehabilitation program. For whom is resilience to be managed, and for what purpose are also two key elements that must be decided during the planning stages of any project, always bearing in mind the long-term goal of managing uncertainties and change.
4.7. Socio-economic benefits of coral farming and reef rehabilitation can be offset by lack of governance
A major lesson learned from the Culebra Island coral farming and reef rehabilitation experience has been that the rapid increase in socio-economic benefits from increased nature-based tourism does not always contribute to support social-ecological systems under a weak governance structure. Increasing tourism and business opportunities (e.g., kayaking, shore-based SCUBA/snorkeling, charter vessels, beach swimming, hotel lodging, vehicle rental, bus services, etc.) have resulted in a significant boom in gross revenues for local and external private businesses. This has resulted in increasing alternative job opportunities. But a weak governance structure still allows the leak of revenues from the local community, favoring external businesses, and the total lack of economic support of the local MPA, and local coral farming and reef rehabilitation efforts. Therefore, strengthening governance is a critical step to support the ecological and socio-economic recovery of social-ecological systems resilience, stability and persistence, and a mechanism to foster increased local participation and sharing of benefits.
A second important benefit in Culebra Island has been increasing fish densities on rehabilitated reefs, therefore contributing to enhance fishing on adjacent areas, through fish spillover effects. Also, reef rehabilitation has resulted in increased recovery of shoreline protection from wave action and erosion. Therefore, the combined benefits are multiple and, with proper planning, design, funding, governance, local support, and implementation, this can have long-lasting impacts in restoring coastal social-ecological resilience, and overall ecosystem services and productivity.
4.8. The challenge of engaging the youth: lessons learned from marginalized small island communities
Coral farming and reef rehabilitation in Culebra Island have also contributed to educate local children and modify local resident’s behavior favoring coral reef conservation. Local NGO Coralations has developed for nearly two decades a highly successful educational engaging program called “Exploradores Marinos” or Marine Explorers. This has allowed approaching local kids with an understanding of their community relationship with the coastal resources (e.g., recreation and sustenance), and introduce planned, inquiry-based discoveries that sprout from that identity origin, as opposed to introducing a totally different perspective (e.g., “welcome to your ocean laboratory”). Second, it is important to understand that planning is compromised for families living on financial brink and that time must be budgeted to compensate for disorganization, lack of preparation, competing programs, transport, last-minute emergencies, health, and poor-diet related illnesses. Such conditions become critically magnified due to the small size of Culebra Island (<70 km2), its location 27 km off northeastern Puerto Rico, and its small population size (<2000 residents). Also, programs need to be no cost for economically compromised participants, however, engagement must require compensation for programs to be valued. Required community service is one option, but always rewarded and never treated as punishment.
All developing humans seek attention. They quickly learn that attention is rewarded for both positive and negative behaviors. Many at-risk youth are conditioned to negative behavioral awards from a very young age but ocean therapy allows them to be removed from their familiar territory for rapid and constructive positive reward programming. However, the positive reward scenarios need to be well thought out, safe and many times staged in advance (e.g., collaborative removal of derelict fishing gear from the reef, recovering of lose coral fragments at risk to support coral farmers, etc.). Medical disclosures from juvenile community volunteers are sometimes dishonest because parents are concerned their child would be stigmatized or prevented to participate in the project. This is dangerous for seizure-related illnesses and inquiries have to be conducted discretely with parents in a climate of trust. This shows that parents consider coral farming and reef conservation-oriented education as unique, novel, enriching experiences for their kids, that they would do anything to ensure their participation in the project. But such risks need to be addressed in a case by case scenario to prevent kids with potentially threatening conditions to engage into risky in-water activities.
An important lesson of working with kids has been to focus activities on accomplishing missions, and refocus anxious students on a defined mission. It is also important to keep groups small and develop excursions that force interdependent collaborations. This increases cost of outreach and educational programs but reaps the rewards 10-fold in many benefits, including greater probability of interesting animal encounters and less opportunity for accidents. This can be done by matching the student to skill level contribution in team activity, and while the skills of some exceed that of others, emphasis must be kept on the importance of all individual contributions to the success of the overall defined mission. Young adult behaviors are conditioned by peer to peer interactions. Everyone is not equal, but it is important to try and find where the kid excels and expose that to other kids.
When dealing with outreach and educational activities for kids, if it is not fun, there will be no long-term engagement. Even a specifically defined work mission has to be fun in order to maintain youngsters engaged. The most be beneficial asset to engaging younger students to the program is mixing with fully engaged slightly older students. Lessons introduced cannot feel like lessons and one of the best methods has been found to be ensuring information is redundant interrogative approach. One of the most successful approaches was when a science teacher at school was offering almost identical information onto what the kids were seeing, feeling, and experience in water during their out-of-school participation in coral reef conservation educational activities.
But a roadblock to success is the rapidly increasing use of electronic devices by young students. Heads must be out of their apps. Electronics have to be confiscated with the understanding that kids, like many adults, are addicted to these devices, or there is competing attention. Also, kids behavior and attention during educational activities are affected by diet. Sometimes kids can exhibit uncontrolled or even violent reactions if allowed to eat food items with excessive content of sugar, high fructose corn syrup, and artificial colorants which they are often conditioned to eat. Nevertheless, hands-on in-water educational experiences are always behavior-transforming experiences that have shown to have multiple positive benefits for local kids. The most important elements have been getting to know their backyard marine resources, improving their respect for adults, their behavior with other kids, and their appreciation for their own resources and the benefits they derive from them.
In the long term, building up a local meaningful voice—ownership—pride of their resources, their natural reserve, and their island has always been a key mission focus of the community service projects in the hope it may help prevent the slippery slope tragedy of the commons rationalizations which could lead to continuing resource overexploitation. These approaches can probably be the only hope for a natural reserve with well-documented enforcement problems associated to poor governance, patrolling and compliance, and lack of public education and outreach. Also, in the long term, participation in local snorkeling activities moved to Friday mornings in Culebra Island has shown that participant kids perform better in school throughout the rest of the day. Therefore, such behavior-modifying activities can contribute to improve performance in schools and overall attitudes. This is an aspect that deserves to be studied, as youth represent the future of base-community participation in the management of social-ecological systems.
The “Educadores Marinos” program has produced a few successful stories with kids pursuing careers in Environmental Sciences and other professional disciplines in academic institutions. For many others, the end point for explorers is intervention/interpretation jobs and the collaboration/participation in pilot research projects being conducted in Culebra. However, expectations are something that need to be addressed. When working with at-risk youth hope that at the end of the years, one will at least have forged a relationship/dialog with the soon-to-be young adult. Respect has to be earned with their kids and their parents to ensure engagement and support.
5. Conclusions and recommendations
Low-tech coral farming and reef rehabilitation have become important tools to foster community-based participation in the management of coastal social-ecological systems. But, there are still important gaps that need to be addressed in order to integrate the technical and scientific components of coral farming and reef rehabilitation with the sociological components. Preliminary evidence of Acroporid corals demographic dynamics has already shown important lessons learned. First, conservation and restoration activities should be designed at the species-specific level whenever possible, with separate specific goals and objectives for individual species. Each coral species, and even different genetic clones within any given species, can respond differently to environmental variation. Also, species-specific variability in acclimation responses to changes in environmental conditions suggests that there can be different vulnerabilities and, as such, restoration projects should always consider such variation among species. This could trigger multiple nonlinear responses to environmental and climate variation. Therefore, coral reef rehabilitation efforts must be adaptive and focused on maximizing resilience as a long-term goal. It should also look forward to develop strategies and techniques to propagate multiple coral species with different life traits to buffer against future nonlinear impacts. The resilience approach emphasizes on managing nonlinear dynamics, thresholds, environmental and climate uncertainty, and ecological surprises [51]. It also pays attention to how periods of slowly evolving, gradual change interplay with periods of rapid, stochastic change, and how such dynamics interact across different temporal and spatial scales. In this context, demographic modeling becomes fundamental to address such concerns.
Second, spatiotemporal differences in demographic transitions displayed by corals such as Acropora cervicornis suggest that restoration efforts should be partitioned among several locations rather than allocating all the resources into one site. Further, it also suggests that a combination of in situ (e.g., underwater) and ex situ (e.g., land-based coral aquaculture farms) strategies should be implemented to cope with potential impacts of extreme weather events and ecological surprises. These actions will enhance the persistence of the species if localized extirpation occurs due to any significant disturbance (e.g., recurrent runoff events, hurricanes). It should also foster the propagation of multiple coral species in support to coral biodiversity restoration and seascape enhancement efforts. Another fundamental lesson learned is that addressing differences in population dynamics among coral colony size categories is important for parameterizing demographic models. This may allow addressing contrasting species-specific, size-specific, genetic clone-specific, or condition-specific population trajectories. Such contrasting population trajectories may be the result of different life traits and different susceptibilities to low and moderate environmental changes. Identifying spatiotemporal variation patterns in such elements may imply that continuity in low-tech coral farming and out-planting efforts is fundamental to sustain restored populations in the wild. In addition, transplanting large colonies will result in higher population survival and growth rates than transplanting small colonies, as many standard coral farming operations do, at least across the Caribbean. Also, transplanting large colonies can achieve faster ecological benefits (e.g., thicket formation, enhanced-essential fish habitat role). However, transplanting large colonies pose some challenges; specifically, regarding the time necessary for a nursery-reared coral fragment to reach the effective transplantation size. This means that efforts need to be taken to improve coral farming techniques to accelerate coral growth, ensure high survival rates, and use methods that trigger faster colony growth rates.
It is also central to establish auto-sustainable funding mechanisms to support coral farming and reef rehabilitation projects. Demographic evidence has already proved that only through sustained input of harvested corals restored populations can remain viable and grow under present and projected environmental and climate conditions. Therefore, supporting the continuous operation of such projects becomes increasingly important, but at the same time increasingly challenging, in particular for developing countries, economically and politically constrained colonies, and small island nations. Depending only on funding through government agencies has shown to be a poor mechanism for support. Government support could be even nonexistent in many countries. Government institutions have often highly changing agenda, which typically respond to highly fluctuating political steering and philosophies in regards to natural resource conservation and climate change. Therefore, funding programs can frequently change goals and objectives, which could risk local support of projects, regardless of their historical trajectory and success. Coral farming and reef rehabilitation need to be incorporated into natural resource conservation and restoration public policies, and also into climate change and SLR adaptation strategies and policies. A potential sustainable strategy for economic support could be implementing a green tax at local or national levels (e.g., tourism activities, cruise-ship visits, airplane landings, hotel room rental, vehicle sales, property construction tax, and industrial revenues). This may include measures such as those implemented in the state of Hawai’i, USA, where coastal development projects are required to economically support State-led coral farming and reef restoration operations as part of mandatory environmental mitigation regulatory requirements.
On the other hand, increasing the spatial scale of reef rehabilitation is essential for reef rehabilitation to become an important strategy to restore coastal social-ecological systems resilience. Population demographic dynamics in Acropora palmata and A. cervicornis vary considerably in time and space. Increasing the spatial scale of population rehabilitation will increase the probability of species persistence, and will enhance its ecosystem functions (e.g., fish nursery ground, buffering wave action). Coral out-plant spatial array is also critical for the formation of thickets. In this sense, coupling demographic modeling with oceanographic numerical models is a highly promising tool to support planning, designing, and implementing future coral reef rehabilitation efforts.
But, the sociological and economic components of coral reef rehabilitation have still remained out of the formula. Understanding sociological dynamics should become an absolute priority to improve the success of future coral farming and reef rehabilitation efforts. Projects developed in Culebra Island, Puerto Rico, since year 2003 have contributed to educate local children and modify local residents’ behavior favoring coral reef conservation. Particularly, addressing behavior-modifying activities and learning how to overcome roadblocks to success are fundamental to develop sustainable strategies to educate, train, and empower local residents to participate in social-ecological systems management. It is critical to foster the creation of strong, functional, cross-sectorial partnerships, which respect the integration of base communities and small non-governmental organizations (NGOs) in the planning and implementation of projects. The stronger the environmental governance collaboration, the improved the success in addressing problems in social-ecological systems [52].
But also, understanding of social processes like social learning and social memory, mental models, and knowledge–system integration are a critical trans-disciplinary integration to improve projects success and social-ecological systems resilience [51]. Further, integrating visioning and scenario building, leadership building, multi-sectorial agents and actor groups, and strengthening cross-sectorial social networking are necessary adaptive approaches to cope with future environmental and climate changes. Another particular challenge of social-ecological systems is how to deal with institutional and organizational inertia and change, with adaptive capacity, transformability, and systems of adaptive governance that allow for management of essential system services [51]. Further, strengthening adaptive governance capabilities is essential to overcome stochastic events and crisis (e.g., natural disasters; ecological surprises). Strong governance connects individuals, organizations, agencies, and institutions at multiple organizational levels [53]. Further, building vision, leadership, and trust are also important features of resilient social-ecological systems [54]. Strengthening the organization of base communities can empower key persons to provide leadership, trust, vision, meaning, and they help transform management organizations toward a learning environment, and can foster the participation of at-risk youth, and the integration of adaptive, participatory co-management efforts. A resilient social-ecological system may make use of crisis as an opportunity to transform into a more desired state.
In addition, the following 10 components have been shown to be fundamental to address sustainable and resilient social-ecological systems [55]: (1) Size of resource systems—in our case, the spatial scale of reef rehabilitation becomes a major element of concern to achieve sustainability and meaningful impacts on resilience; (2) Productivity of system—increasing the spatial scale of reef rehabilitation also fosters an increase in ecological and social benefits; (3) Predictability of system dynamics—the incorporation of restored coral demographic models, coupled with oceanographic numerical models, should be the next step to improve our ability to predict system dynamics; (4) Resource unit mobility—corals are not mobile entities, but reef-associated biota can be, therefore, improving governance regarding management of mobile links such as reef fisheries is important to improve management success; (5) Collective choice rules—fostering increased local participation in planning and decision-making processes will increase local stewardship, support, and compliance with management, and may reduce cost and difficulties of enforcement; (6) Number of users—the impact of group size and determining limits of acceptable change (from the perspective of recreational and tourism uses) must be incorporated into management; (7) Leadership/entrepreneurship—developing leadership and entrepreneurship skills in members of local base communities is paramount to improve stewardship, support and trust, and would likely result in the protection of local livelihoods and business opportunities; (8) Norms/social capital—need to build up shared moral and ethical standards, and common trust in resource users to facilitate decision-making and monitoring processes; (9) Knowledge of social-ecological systems/mental models—knowledge of social-ecological systems is central to share common knowledge among different user sectors, to understand carrying capacity and limits of acceptable change of the resource, its attributes of resilience, and to prevent failure to organize and destroy the system; and (10) Importance of resource—understanding the value of the resource to local environmental, ecological, and socio-economic sustainability, to the support of sustainable livelihoods, and for sustaining food security and sovereignty. The take-home message is that reef managers and reef rehabilitation practitioners need to engage social scientists to support their efforts as a strategy to foster improved local support, stewardship, compliance, and success.
Coral reef rehabilitation in Culebra Island, Puerto Rico, has resulted in a rapid increase in benefits for local communities. Increasing tourism and business opportunities have resulted in a significant boom in gross revenues for private businesses, and in improved, and diversified livelihoods. This has resulted in increasing alternative job opportunities. But, leakage of revenues needs to be reverted to enhance sustainability, local benefits, stewardship, and support. Coral reef rehabilitation has also resulted in increasing fish densities on rehabilitated reefs, therefore attracting further nature-based tourism, and in contributing to enhance fishing on adjacent areas, through fish spillover effects. In addition, it has resulted in increased recovery of shoreline protection from wave action and erosion. Therefore, the combined benefits to social-ecological systems are multiple, and with proper planning, design, funding, local support, and implementation this can have long-lasting impacts in restoring resilience and overall services and productivity of coastal social-ecological systems.
Acknowledgments
This publication was possible thanks to the support of the National Science Foundation (HRD #0734826) to the Center for Applied Tropical Ecology and Conservation, as well as by the support provided by the University of Puerto Rico Central Administration, both to E.A. Hernández-Delgado. Also, support was provided by NOOA Restoration Center and The Nature Conservancy to Sociedad Ambiente Marino through sub-award MAR-SAM-110110. In addition, support was provided by the U.S. Fish and Wildlife Service Coastal Program, the University of Puerto Rico’s Sea Grant College Program, the Ford Motor Company Foundation, Toyota Foundation, Roland Pesch, and by a myriad of community-based and student volunteers through years of dedicated work. Our major appreciation to the passionate vision and pioneering support by the late fisher folks of Culebra Island, in particular, Don Ramón “Monchín” Feliciano, and Don Anastasio “Taso” Soto.
\n',keywords:"coral farming, coral reefs, ecological rehabilitation, lessons learned, Puerto Rico, Caribbean Sea, reef fish communities, social-ecological systems",chapterPDFUrl:"https://cdn.intechopen.com/pdfs/59433.pdf",chapterXML:"https://mts.intechopen.com/source/xml/59433.xml",downloadPdfUrl:"/chapter/pdf-download/59433",previewPdfUrl:"/chapter/pdf-preview/59433",totalDownloads:1296,totalViews:353,totalCrossrefCites:0,dateSubmitted:"January 22nd 2018",dateReviewed:"January 23rd 2018",datePrePublished:"March 22nd 2018",datePublished:"March 28th 2018",dateFinished:"February 19th 2018",readingETA:"0",abstract:"Low-tech coral farming and reef rehabilitation have become important tools to foster community-based participation in the management of coastal social-ecological systems. Lessons learned from coral demographic dynamics, ecosystem-level benefits, and sociological dynamics achieved in Culebra Island, Puerto Rico, are discussed. Important gaps regarding social-ecological interactions are also addressed. Coral reef rehabilitation efforts must be adaptive and focused on maximizing resilience as a long-term goal, with emphasis on managing non-linear dynamics, thresholds, environmental and climate uncertainty, and ecological surprises. In this context, coral demographic modelling becomes fundamental to address, not only ecological, but also sociological concerns. Only through sustained support and input of harvested corals restored populations, and by increasing the spatial scale of reef rehabilitation, restored populations can remain viable and grow under present and projected environmental and climate conditions. Understanding sociological dynamics, learning from others experiences, integrating visioning and scenario building, leadership building, multi-sectorial agents and actor groups, and strengthening cross-sectorial social networking are necessary adaptive approaches to cope with future environmental and climate changes, and are an integral part of reef rehabilitation. The combined benefits to social-ecological systems are multiple. With proper planning, design, funding, local support, and implementation, these can have long-lasting impacts in restoring coastal resilience.",reviewType:"peer-reviewed",bibtexUrl:"/chapter/bibtex/59433",risUrl:"/chapter/ris/59433",signatures:"Edwin A. Hernández-Delgado, Alex E. Mercado-Molina, Samuel E.\nSuleimán-Ramos and Mary Ann Lucking",book:{id:"5765",type:"book",title:"Corals in a Changing World",subtitle:null,fullTitle:"Corals in a Changing World",slug:"corals-in-a-changing-world",publishedDate:"March 28th 2018",bookSignature:"Carmenza Duque Beltran and Edisson Tello Camacho",coverURL:"https://cdn.intechopen.com/books/images_new/5765.jpg",licenceType:"CC BY 3.0",editedByType:"Edited by",isbn:"978-953-51-3910-2",printIsbn:"978-953-51-3909-6",pdfIsbn:"978-953-51-3974-4",isAvailableForWebshopOrdering:!0,editors:[{id:"155319",title:"Emeritus Prof.",name:"Carmenza",middleName:null,surname:"Duque",slug:"carmenza-duque",fullName:"Carmenza Duque"}],productType:{id:"1",title:"Edited Volume",chapterContentType:"chapter",authoredCaption:"Edited by"}},authors:[{id:"197185",title:"Dr.",name:"Edwin",middleName:null,surname:"Hernandez-Delgado",fullName:"Edwin Hernandez-Delgado",slug:"edwin-hernandez-delgado",email:"edwin.hernandezdelgado@gmail.com",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",institution:{name:"University of Puerto Rico at Río Piedras",institutionURL:null,country:{name:"United States of America"}}}],sections:[{id:"sec_1",title:"1. Introduction",level:"1"},{id:"sec_1_2",title:"1.1. Coral reef decline and the erosion of social-ecological systems",level:"2"},{id:"sec_2_2",title:"1.2. Goals and objectives",level:"2"},{id:"sec_4",title:"2. Lessons learned from coral demographic dynamics",level:"1"},{id:"sec_4_2",title:"2.1. Coral demographic modeling in reef rehabilitation",level:"2"},{id:"sec_5_2",title:"2.2. Modeling as decision-making tools",level:"2"},{id:"sec_6_2",title:"2.3. Increasing the spatial scale of reef rehabilitation",level:"2"},{id:"sec_7_2",title:"2.4. Next steps in coral reef restoration",level:"2"},{id:"sec_7_3",title:"2.4.1. Lack of knowledge of Staghorn coral (Acropora cervicornis) branching dynamics",level:"3"},{id:"sec_8_3",title:"2.4.2. Increasing the spatial scale of reef rehabilitation",level:"3"},{id:"sec_9_3",title:"2.4.3. Most restoration projects are not firmly grounded on quantitative demographic analyses",level:"3"},{id:"sec_10_3",title:"2.4.4. Short-term funding: a roadblock to long-term success",level:"3"},{id:"sec_11_3",title:"2.4.5. Coral reef rehabilitation to restore ecological connectivity",level:"3"},{id:"sec_14",title:"3. Lessons learned from fish community dynamics",level:"1"},{id:"sec_14_2",title:"3.1. Impact of community-based reef rehabilitation on fish communities",level:"2"},{id:"sec_15_2",title:"3.2. Impacts on herbivory",level:"2"},{id:"sec_17",title:"4. Sociological lessons learned",level:"1"},{id:"sec_17_2",title:"4.1. Building local support and stewardship of social-ecological systems",level:"2"},{id:"sec_18_2",title:"4.2. Building a volunteer network",level:"2"},{id:"sec_19_2",title:"4.3. Team assemblage",level:"2"},{id:"sec_20_2",title:"4.4. How to overcome lack of funding?",level:"2"},{id:"sec_21_2",title:"4.5. How to overcome other roadblocks?",level:"2"},{id:"sec_22_2",title:"4.6. How to overcome uncertainties and change?",level:"2"},{id:"sec_23_2",title:"4.7. Socio-economic benefits of coral farming and reef rehabilitation can be offset by lack of governance",level:"2"},{id:"sec_24_2",title:"4.8. The challenge of engaging the youth: lessons learned from marginalized small island communities",level:"2"},{id:"sec_26",title:"5. Conclusions and recommendations",level:"1"},{id:"sec_27",title:"Acknowledgments",level:"1"}],chapterReferences:[{id:"B1",body:'Cloern JE. Our evolving conceptual model of the coastal eutrophication problem. Marine Ecology Progress Series. 2001;210:223-253'},{id:"B2",body:'Rogers CS. Responses of coral reefs and reef organisms to sedimentation. Marine Ecology Progress Series. 1990;62:185-202'},{id:"B3",body:'De\'ath G, Fabricius K. Water quality as a regional driver of coral biodiversity and macroalgae on the Great Barrier Reef. Ecological Applications. 2010;20(3):840-850'},{id:"B4",body:'Roberts CM. Effects of fishing on the ecosystem structure of coral reefs. 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Community-based low-tech coral reef rehabilitation impacts on Culebra Island HFA fish assemblages: A BACI approach. (Manuscript in preparation)'},{id:"B50",body:'Lebel L, Anderies JM, Campbell B, Folke C, Hatfield-Dodds S, Hughes TP, Wilson J. Governance and the capacity to manage resilience in regional social-ecological systems. Ecology and Society. 2006;11(1):19'},{id:"B51",body:'Folke C. Resilience: The emergence of a perspective for social–ecological systems analyses. Global Environmental Change. 2006;16(3):253-267'},{id:"B52",body:'Bodin Ö. Collaborative environmental governance: Achieving collective action in social-ecological systems. Science. 2017;357(6352):eaan1114:1-8'},{id:"B53",body:'Folke C, Hahn T, Olsson P, Norberg J. Adaptive governance of social-ecological systems. Annual Review of Environment and Resources. 2005;30:441-473'},{id:"B54",body:'Olsson P, Folke C, Berkes F. Adaptive comanagement for building resilience in social–ecological systems. Environmental Management. 2004;34(1):75-90'},{id:"B55",body:'Ostrom E. A general framework for analyzing sustainability of social-ecological systems. Science. 2009;325(5939):419-422'}],footnotes:[],contributors:[{corresp:"yes",contributorFullName:"Edwin A. Hernández-Delgado",address:"edwin.hernandezdelgado@gmail.com",affiliation:'
Center for Applied Tropical Ecology and Conservation, University of Puerto Rico, USA
University of Puerto Rico, College of Natural Sciences, Interdisciplinary Program, USA
Sociedad Ambiente Marino, USA
'},{corresp:null,contributorFullName:"Alex E. Mercado-Molina",address:null,affiliation:'
Sociedad Ambiente Marino, USA
Department of Marine Sciences, Florida International University, USA
'},{corresp:null,contributorFullName:"Samuel E. Suleimán-Ramos",address:null,affiliation:'
Sociedad Ambiente Marino, USA
'},{corresp:null,contributorFullName:"Mary Ann Lucking",address:null,affiliation:'
Coralations, USA
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All Works licensed under CC BY-BC-SA 3.0 can be freely translated and used for non-commercial purposes. Works licensed under CC BY 3.0 license can be freely translated and used for both commercial and non-commercial purposes.
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All Works licensed under CC BY-BC-SA 3.0 can be freely translated and used for non-commercial purposes. Works licensed under CC BY 3.0 license can be freely translated and used for both commercial and non-commercial purposes.
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Book Chapters
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All translated Chapters have to be properly attributed in accordance with the requirements included in IntechOpen's Attribution Policy. Besides proper attribution translated sections of Works must include the following sentence: "This is an unofficial translation of a work published by IntechOpen. The publisher has not endorsed this translation".
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Books and all other compilations
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All rights to Books and other compilations are reserved by IntechOpen. The copyright to Books and other compilations is subject to a Copyright separate from any that exists in the included Works.
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Biology",slug:"animal-biology"},numberOfBooks:2,numberOfSeries:0,numberOfAuthorsAndEditors:32,numberOfWosCitations:11,numberOfCrossrefCitations:15,numberOfDimensionsCitations:20,videoUrl:null,fallbackUrl:null,description:null},booksByTopicFilter:{topicId:"316",sort:"-publishedDate",limit:12,offset:0},booksByTopicCollection:[{type:"book",id:"9666",title:"Moths and Caterpillars",subtitle:null,isOpenForSubmission:!1,hash:"ce459c86bb01bb59fc01a6edd6504ad4",slug:"moths-and-caterpillars",bookSignature:"Vonnie D.C. 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Shields"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"6156",title:"Lepidoptera",subtitle:null,isOpenForSubmission:!1,hash:"b5d586ee7920aa6388b521b833916453",slug:"lepidoptera",bookSignature:"Farzana Khan Perveen",coverURL:"https://cdn.intechopen.com/books/images_new/6156.jpg",editedByType:"Edited by",editors:[{id:"75563",title:"Dr.",name:"Farzana Khan",middleName:null,surname:"Perveen",slug:"farzana-khan-perveen",fullName:"Farzana Khan Perveen"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}}],booksByTopicTotal:2,seriesByTopicCollection:[],seriesByTopicTotal:0,mostCitedChapters:[{id:"56325",doi:"10.5772/intechopen.70098",title:"Contact-Mediated Eyespot Color-Pattern Changes in the Peacock Pansy Butterfly: Contributions of Mechanical Force and Extracellular Matrix to Morphogenic Signal Propagation",slug:"contact-mediated-eyespot-color-pattern-changes-in-the-peacock-pansy-butterfly-contributions-of-mecha",totalDownloads:1246,totalCrossrefCites:6,totalDimensionsCites:8,abstract:"Butterfly wing color patterns are developmentally determined by morphogenic signals from organizers in the early pupal stage. However, the precise mechanism of color-pattern determination remains elusive. Here, mechanical and surface disturbances were applied to the pupal hindwing of the peacock pansy butterfly Junonia almana (Linnaeus, 1758) to examine their effects on color-pattern determination. Using the forewing-lift method immediately after pupation, a small stainless ball was placed on the prospective major eyespot or background of the developing dorsal hindwing to cause a wing epithelial distortion, resulting in deformation of the major eyespot. When the exposed dorsal hindwing was covered with a piece of plastic film or placed on a surface of a glass slide, an adhesive tape, or a silicone-coated glassine paper, the major eyespot was effectively reduced in size without a direct contact with the covering materials. The latter two treatments additionally induced the size reduction of the minor eyespot and proximal displacement and broadening of parafocal elements through a direct contact, being reminiscent of the temperature-shock-type modifications. These results suggest the importance of mechanical force and physicochemical properties of planar epithelial contact surface (i.e., extracellular matrix) to propagate morphogenic signals for color-pattern determination in butterfly wings.",book:{id:"6156",slug:"lepidoptera",title:"Lepidoptera",fullTitle:"Lepidoptera"},signatures:"Joji M. Otaki",authors:[{id:"208068",title:"Associate Prof.",name:"Joji",middleName:"M.",surname:"Otaki",slug:"joji-otaki",fullName:"Joji Otaki"}]},{id:"56320",doi:"10.5772/intechopen.70050",title:"Synergistic Damage Response of the Double-Focus Eyespot in the Hindwing of the Peacock Pansy Butterfly",slug:"synergistic-damage-response-of-the-double-focus-eyespot-in-the-hindwing-of-the-peacock-pansy-butterf",totalDownloads:876,totalCrossrefCites:6,totalDimensionsCites:7,abstract:"Eyespot color patterns in butterfly wings are determined by the putative morphogenic signals from organizers. Previous experiments using physical damage to the forewing eyespots of the peacock pansy butterfly, Junonia almana (Linnaeus, 1758), suggested that the morphogenic signals dynamically interact with each other, involving enhancement of activation signals and interactions between activation and inhibitory signals. Here, we focused on the large double-focus fusion eyespot on the hindwing of J. almana to test the involvement of the proposed signal interactions. Early damage at a single focus of the prospective double-focus eyespot produced a smaller but circular eyespot, suggesting the existence of synergistic interactions between the signals from two sources. Late damage at a single focus reduced the size of the inner core disk but simultaneously enlarged the outermost black ring. Damage at two nearby sites in the background induced an extensive black area, possibly as a result of the synergistic enhancement of the two induced signals. These results confirmed the previous forewing results and provided further evidence for the long-range and synergistic interactive nature of the morphogenic signals that may be explained by a reaction-diffusion mechanism as a part of the induction model for color-pattern formation in butterfly wings.",book:{id:"6156",slug:"lepidoptera",title:"Lepidoptera",fullTitle:"Lepidoptera"},signatures:"Mayo Iwasaki and Joji M. Otaki",authors:[{id:"208068",title:"Associate Prof.",name:"Joji",middleName:"M.",surname:"Otaki",slug:"joji-otaki",fullName:"Joji Otaki"},{id:"208071",title:"MSc.",name:"Mayo",middleName:null,surname:"Iwasaki",slug:"mayo-iwasaki",fullName:"Mayo Iwasaki"}]},{id:"57286",doi:"10.5772/intechopen.71158",title:"Mitochondrial Genomes of Lepidopteran Insects Considered Crop Pests",slug:"mitochondrial-genomes-of-lepidopteran-insects-considered-crop-pests",totalDownloads:1188,totalCrossrefCites:1,totalDimensionsCites:2,abstract:"In this chapter, the complete mitochondrial genome of Guatemalan potato moth, Tecia solanivora (Povolny, 1973) (Lepidoptera: Gelechiidae) is presented as a model to understand how to characterize and study a mitogenome in insects. It was sequenced, analyzed, and compared with other lepidopteran insects. T. solanivora mitogenome is a circular double-stranded molecule, typically found in insects and containing 37 genes, all them well described over the other lepidopteran mitogenomes sequenced. Interestingly, in this mitogenome was found a gene arrangement in the tRNA-Met gene different from the ancestral arrangement, but commonly present in insect mitogenomes. Other important characteristics are the high A + T-biased and negative AT- and GC-skews contents, but also unusual canonical start codons in 12 protein-coding genes and an incomplete stop codon in the cytochrome oxidase subunit II gene consisting of just a Thymine. Another common feature shared with lepidopteran mitogenomes is the A + T-rich region. It is characterized by having 325 bb, the ‘ATAGA’ motif, a 17 bp poly (T) stretch and a (AT)8 element preceded by the ‘ATTTA’ motif. Likewise, this mitogenome has 21 intergenic spacer regions. In addition, an update about other recent mitogenomes research done mainly over lepidopteran insects considered crop pests is presented. On the other hand, a novel development based on induced mutations by CRISPR-Cas9 in the mitogenomes seeking applicable capability for pest control is shown. The utility of this study is to improve scientific databases and support future studies of population genetic in lepidopteran.",book:{id:"6156",slug:"lepidoptera",title:"Lepidoptera",fullTitle:"Lepidoptera"},signatures:"Viviana Ramírez-Ríos, Javier Correa Alvarez and Diego Villanueva-\nMejia",authors:[{id:"206827",title:"Dr.",name:"Diego",middleName:"F.",surname:"Villanueva-Mejía",slug:"diego-villanueva-mejia",fullName:"Diego Villanueva-Mejía"},{id:"214479",title:"Dr.",name:"Javier",middleName:null,surname:"Correa Alvarez",slug:"javier-correa-alvarez",fullName:"Javier Correa Alvarez"},{id:"219660",title:"MSc.",name:"Viviana",middleName:null,surname:"Ramírez-Ríos",slug:"viviana-ramirez-rios",fullName:"Viviana Ramírez-Ríos"}]},{id:"57355",doi:"10.5772/intechopen.70925",title:"Lepidoptera Collection Curation and Data Management",slug:"lepidoptera-collection-curation-and-data-management",totalDownloads:1529,totalCrossrefCites:1,totalDimensionsCites:1,abstract:"The collections of Lepidoptera often serve as foundational basis for a wide range of biological, ecological, and climate science disciplines. Species identification and higher taxa delimitation based on collection specimens and especially, on types test scientific hypotheses, provide multiple types of evidence for a broad range of users. Curation and data management approaches applied in Lepidoptera collections benefit greatly from many newly developed information techniques, which link and integrate data. Mostly attention is focused on clean verified collection and taxonomic literature mining data to obtain correct species-group and higher taxa names, as well as reliable data on the distribution of Lepidoptera and their trophic interactions. Collection creation and management became a subject of natural sciences itself. The chapter provides a historic overview on collection creation and curation together with a short discussion on collection goals and purposes. The creation of a virtual collection based on interlinked data is emphasized. Information science and data management tools became very important in Lepidoptera collection curation. The complexity of techniques and computing tools used in taxonomy and the increase in the amount of data that can be obtained by collection-based disciplines make it necessary to automate data gathering, manipulation, analysis, and visualization processes.",book:{id:"6156",slug:"lepidoptera",title:"Lepidoptera",fullTitle:"Lepidoptera"},signatures:"Jurate De Prins",authors:[{id:"213731",title:"Dr.",name:"Jurate",middleName:null,surname:"De Prins",slug:"jurate-de-prins",fullName:"Jurate De Prins"}]},{id:"75753",doi:"10.5772/intechopen.96637",title:"Managing a Transboundary Pest: The Fall Armyworm on Maize in Africa",slug:"managing-a-transboundary-pest-the-fall-armyworm-on-maize-in-africa",totalDownloads:452,totalCrossrefCites:0,totalDimensionsCites:1,abstract:"The fall armyworm (Spodoptera frugiperda J.E Smith) (Lepidoptera: Noctuidae) invaded Africa in 2016, and has since spread to all countries in sub-Saharan Africa, causing devastating effects on mainly maize and sorghum. The rapid spread of this pest is aided by its high reproductive rate, high migration ability, wide host range and adaptability to different environments, among others. Since its introduction, many governments purchased and distributed pesticides for emergency control, with minimal regard to their efficacy. In this chapter, we review efforts towards managing this pest, highlight key challenges, and provide our thoughts on considerations for sustainable management of the pest.",book:{id:"9666",slug:"moths-and-caterpillars",title:"Moths and Caterpillars",fullTitle:"Moths and Caterpillars"},signatures:"Michael Hilary Otim, Komi Kouma Mokpokpo Fiaboe, Juliet Akello, Barnabas Mudde, Allan Tekkara Obonyom, Anani Yaovi Bruce, Winnifred Aool Opio, Peter Chinwada, Girma Hailu and Pamela Paparu",authors:[{id:"331168",title:"Dr.",name:"Michael",middleName:"Hilary",surname:"Otim",slug:"michael-otim",fullName:"Michael Otim"},{id:"339328",title:"Dr.",name:"Girma",middleName:null,surname:"Hailu",slug:"girma-hailu",fullName:"Girma Hailu"},{id:"339330",title:"Dr.",name:"Pamela",middleName:null,surname:"Paparu",slug:"pamela-paparu",fullName:"Pamela Paparu"},{id:"339339",title:"Dr.",name:"Peter",middleName:null,surname:"Chinwada",slug:"peter-chinwada",fullName:"Peter Chinwada"},{id:"339340",title:"Ms.",name:"Winnifred",middleName:null,surname:"Aool Opio",slug:"winnifred-aool-opio",fullName:"Winnifred Aool Opio"},{id:"339341",title:"Dr.",name:"Anani",middleName:null,surname:"Bruce Yaovi",slug:"anani-bruce-yaovi",fullName:"Anani Bruce Yaovi"},{id:"339345",title:"Mr.",name:"Allan",middleName:"Obonyom",surname:"Tekkara",slug:"allan-tekkara",fullName:"Allan Tekkara"},{id:"339346",title:"Dr.",name:"Juliet",middleName:null,surname:"Akello",slug:"juliet-akello",fullName:"Juliet Akello"},{id:"339347",title:"Dr.",name:"Barnabas",middleName:null,surname:"Mudde",slug:"barnabas-mudde",fullName:"Barnabas Mudde"},{id:"339349",title:"Dr.",name:"Fiaboe",middleName:null,surname:"Komi K Mokpokpo",slug:"fiaboe-komi-k-mokpokpo",fullName:"Fiaboe Komi K Mokpokpo"}]}],mostDownloadedChaptersLast30Days:[{id:"57369",title:"Introductory Chapter: Lepidoptera",slug:"introductory-chapter-lepidoptera",totalDownloads:6978,totalCrossrefCites:0,totalDimensionsCites:0,abstract:null,book:{id:"6156",slug:"lepidoptera",title:"Lepidoptera",fullTitle:"Lepidoptera"},signatures:"Farzana Khan Perveen and Anzela Khan",authors:[{id:"75563",title:"Dr.",name:"Farzana Khan",middleName:null,surname:"Perveen",slug:"farzana-khan-perveen",fullName:"Farzana Khan Perveen"}]},{id:"57355",title:"Lepidoptera Collection Curation and Data Management",slug:"lepidoptera-collection-curation-and-data-management",totalDownloads:1529,totalCrossrefCites:1,totalDimensionsCites:1,abstract:"The collections of Lepidoptera often serve as foundational basis for a wide range of biological, ecological, and climate science disciplines. Species identification and higher taxa delimitation based on collection specimens and especially, on types test scientific hypotheses, provide multiple types of evidence for a broad range of users. Curation and data management approaches applied in Lepidoptera collections benefit greatly from many newly developed information techniques, which link and integrate data. Mostly attention is focused on clean verified collection and taxonomic literature mining data to obtain correct species-group and higher taxa names, as well as reliable data on the distribution of Lepidoptera and their trophic interactions. Collection creation and management became a subject of natural sciences itself. The chapter provides a historic overview on collection creation and curation together with a short discussion on collection goals and purposes. The creation of a virtual collection based on interlinked data is emphasized. Information science and data management tools became very important in Lepidoptera collection curation. The complexity of techniques and computing tools used in taxonomy and the increase in the amount of data that can be obtained by collection-based disciplines make it necessary to automate data gathering, manipulation, analysis, and visualization processes.",book:{id:"6156",slug:"lepidoptera",title:"Lepidoptera",fullTitle:"Lepidoptera"},signatures:"Jurate De Prins",authors:[{id:"213731",title:"Dr.",name:"Jurate",middleName:null,surname:"De Prins",slug:"jurate-de-prins",fullName:"Jurate De Prins"}]},{id:"57731",title:"Taxocenotic and Biocenotic Study of Lepidoptera (Rhopalocera) in Rucamanque: A Forest Remnant in the Central Valley of the Araucanía Region, Chile",slug:"taxocenotic-and-biocenotic-study-of-lepidoptera-rhopalocera-in-rucamanque-a-forest-remnant-in-the-ce",totalDownloads:1236,totalCrossrefCites:0,totalDimensionsCites:0,abstract:"Considering that butterflies (Lepidoptera: Rhopalocera) are sensitive to physical and climatic changes, e.g. of temperature, humidity and solar radiation, produced by disturbances in their habitat, a survey of this group was carried out in a small remnant of native forest (Rucamanque) in the central valley of the Araucanía Region of Chile. The object was to record the composition, abundance and diversity of Rhopalocera in grassland, forest and the ecotone between them during spring and summer. The study recorded 1190 individual butterflies belonging to 25 species, 18 genera, 8 sub-families and 4 families. The highest values of species richness and abundance were obtained in the summer, of 25 species and 953 individuals; in the spring, 9 species were recorded with a total of 237 individuals. The greatest diversity and homogeneity were found in the ecotone habitat (H′=3.86; J′=0.88; λ =0.08); the values for grassland were (H′=2.73; J′=0.67; λ =0.23) and for forest (H′=2.55; J′=0.71; λ =0.23); these environments being less diverse and more homogeneous. The greatest taxocenotic similarity was found between grassland and the ecotone (54%), and the least similarity appeared between the ecotone and forest (34%). The greatest biocenotic similarity was found between the ecotone and forest (48%), and the lowest correspondence was between grassland and forest (4.18%).",book:{id:"6156",slug:"lepidoptera",title:"Lepidoptera",fullTitle:"Lepidoptera"},signatures:"Hernán Navarrete Parra and Ramón Rebolledo Ranz",authors:[{id:"193813",title:"Dr.",name:"Ramón Eduardo",middleName:null,surname:"Rebolledo Ranz",slug:"ramon-eduardo-rebolledo-ranz",fullName:"Ramón Eduardo Rebolledo Ranz"},{id:"217930",title:"Prof.",name:"Hernán",middleName:null,surname:"Navarrete",slug:"hernan-navarrete",fullName:"Hernán Navarrete"}]},{id:"56208",title:"Molecular Phylogeny and Taxonomy of Lepidoptera with Special Reference to Influence of Wolbachia Infection in the Genus Polytremis",slug:"molecular-phylogeny-and-taxonomy-of-lepidoptera-with-special-reference-to-influence-of-wolbachia-inf",totalDownloads:1248,totalCrossrefCites:1,totalDimensionsCites:1,abstract:"This chapter provides a case of genus Polytremis Mabille, 1904 (Lepidoptera: Hesperiidae), to explain the molecular phylogeny and taxonomy of Lepidoptera and the influence of Wolbachia infection. Earlier studies of Lepidoptera were focused mainly on the morphological classification, population distribution, and identification of new species. As the supplementary to morphological research, analysis of DNA has been widely used in the phylogenetic studies of Lepidoptera. The study provides a conservative estimate that the Wolbachia infection rate in Polytremis nascens Leech (1893) is 31%, and no significant difference in the prevalence is found between the sexes. The Wolbachia infection mainly prevails in populations of P. nascens in southern China, which influence the diversity of mtDNA in P. nascens by a Wolbachia-induced sweep. The Wolbachia infection rate in Polytremis fukia Evans (1940) is 47% and shows a weak association existed between mitochondrial DNA haplotypes and wFuk1 infection status.",book:{id:"6156",slug:"lepidoptera",title:"Lepidoptera",fullTitle:"Lepidoptera"},signatures:"Weibin Jiang",authors:[{id:"207420",title:"Dr.",name:"Weibin",middleName:null,surname:"Jiang",slug:"weibin-jiang",fullName:"Weibin Jiang"}]},{id:"75535",title:"Role of Pheromone Application Technology for the Management of Codling Moth in High Altitude and Cold Arid Region of Ladakh",slug:"role-of-pheromone-application-technology-for-the-management-of-codling-moth-in-high-altitude-and-col",totalDownloads:301,totalCrossrefCites:0,totalDimensionsCites:0,abstract:"The codling moth is a threat to the apple industries in India. Currently, no solutions are available for the management of codling moth in Ladakh. Therefore, all fresh fruits from Ladakh are still banned due to quarantine regulations. Jammu and Kashmir and Himachal Pradesh and Ladakh are the three main apple producing states of India, both in quality and quantity. The ban on all fresh fruits from Ladakh directly affects the economy of rural populations. These fruits are sold in all the local markets of Kargil and Leh. Apples damaged by the larvae of codling moth are less preferred by inhabitants, tourists, and security forces, a large area of Ladakh is bordered with China and Pakistan. Field demonstration trials revealed significantly less fruit damage in apple orchards in different hamlets of Ladakh using pheromone dispensers, pheromone baited traps, and two applications of insecticides for codling moth management. A demonstration of the use of pheromone and pheromone dispenser technology for area-wide management for high dense populations of the codling moth in Ladakh has revealed successful results in the orchards of the apple growers. Area-wide management of the codling moth in some villages, using dispenser technology has shown promising results. The ban of fresh fruits in Ladakh may not be, therefore, appropriate as management of the codling moth appears to be successful with the use of pheromone dispenser technology. This technology will, surely, boost the apple industry and have a great potential for establishing commercial orchards and quality apples in high altitudes in the second-highest cold arid region of the world.",book:{id:"9666",slug:"moths-and-caterpillars",title:"Moths and Caterpillars",fullTitle:"Moths and Caterpillars"},signatures:"Barkat Hussain, Faizaan Ahmad, Ejaz Ahmad, Wasim Yousuf and Mohd Mehdi",authors:[{id:"319667",title:"Dr.",name:"Barkat",middleName:null,surname:"Hussain",slug:"barkat-hussain",fullName:"Barkat Hussain"}]}],onlineFirstChaptersFilter:{topicId:"316",limit:6,offset:0},onlineFirstChaptersCollection:[],onlineFirstChaptersTotal:0},preDownload:{success:null,errors:{}},subscriptionForm:{success:null,errors:{}},aboutIntechopen:{},privacyPolicy:{},peerReviewing:{},howOpenAccessPublishingWithIntechopenWorks:{},sponsorshipBooks:{sponsorshipBooks:[],offset:0,limit:8,total:null},allSeries:{pteSeriesList:[],lsSeriesList:[],hsSeriesList:[],sshSeriesList:[],testimonialsList:[]},series:{item:{id:"25",title:"Environmental Sciences",doi:"10.5772/intechopen.100362",issn:"2754-6713",scope:"
\r\n\tScientists have long researched to understand the environment and man’s place in it. The search for this knowledge grows in importance as rapid increases in population and economic development intensify humans’ stresses on ecosystems. Fortunately, rapid increases in multiple scientific areas are advancing our understanding of environmental sciences. Breakthroughs in computing, molecular biology, ecology, and sustainability science are enhancing our ability to utilize environmental sciences to address real-world problems. \r\n\tThe four topics of this book series - Pollution; Environmental Resilience and Management; Ecosystems and Biodiversity; and Water Science - will address important areas of advancement in the environmental sciences. They will represent an excellent initial grouping of published works on these critical topics.
",coverUrl:"https://cdn.intechopen.com/series/covers/25.jpg",latestPublicationDate:"April 13th, 2022",hasOnlineFirst:!1,numberOfPublishedBooks:1,editor:{id:"197485",title:"Dr.",name:"J. Kevin",middleName:null,surname:"Summers",slug:"j.-kevin-summers",fullName:"J. Kevin Summers",profilePictureURL:"https://mts.intechopen.com/storage/users/197485/images/system/197485.jpg",biography:"J. Kevin Summers is a Senior Research Ecologist at the Environmental Protection Agency’s (EPA) Gulf Ecosystem Measurement and Modeling Division. He is currently working with colleagues in the Sustainable and Healthy Communities Program to develop an index of community resilience to natural hazards, an index of human well-being that can be linked to changes in the ecosystem, social and economic services, and a community sustainability tool for communities with populations under 40,000. He leads research efforts for indicator and indices development. Dr. Summers is a systems ecologist and began his career at the EPA in 1989 and has worked in various programs and capacities. This includes leading the National Coastal Assessment in collaboration with the Office of Water which culminated in the award-winning National Coastal Condition Report series (four volumes between 2001 and 2012), and which integrates water quality, sediment quality, habitat, and biological data to assess the ecosystem condition of the United States estuaries. He was acting National Program Director for Ecology for the EPA between 2004 and 2006. He has authored approximately 150 peer-reviewed journal articles, book chapters, and reports and has received many awards for technical accomplishments from the EPA and from outside of the agency. Dr. Summers holds a BA in Zoology and Psychology, an MA in Ecology, and Ph.D. in Systems Ecology/Biology.",institutionString:null,institution:{name:"Environmental Protection Agency",institutionURL:null,country:{name:"United States of America"}}},editorTwo:null,editorThree:null},subseries:{paginationCount:4,paginationItems:[{id:"38",title:"Pollution",coverUrl:"https://cdn.intechopen.com/series_topics/covers/38.jpg",isOpenForSubmission:!0,annualVolume:11966,editor:{id:"110740",title:"Dr.",name:"Ismail M.M.",middleName:null,surname:"Rahman",slug:"ismail-m.m.-rahman",fullName:"Ismail M.M. Rahman",profilePictureURL:"https://mts.intechopen.com/storage/users/110740/images/2319_n.jpg",biography:"Ismail Md. Mofizur Rahman (Ismail M. M. Rahman) assumed his current responsibilities as an Associate Professor at the Institute of Environmental Radioactivity, Fukushima University, Japan, in Oct 2015. He also has an honorary appointment to serve as a Collaborative Professor at Kanazawa University, Japan, from Mar 2015 to the present. \nFormerly, Dr. Rahman was a faculty member of the University of Chittagong, Bangladesh, affiliated with the Department of Chemistry (Oct 2002 to Mar 2012) and the Department of Applied Chemistry and Chemical Engineering (Mar 2012 to Sep 2015). Dr. Rahman was also adjunctly attached with Kanazawa University, Japan (Visiting Research Professor, Dec 2014 to Mar 2015; JSPS Postdoctoral Research Fellow, Apr 2012 to Mar 2014), and Tokyo Institute of Technology, Japan (TokyoTech-UNESCO Research Fellow, Oct 2004–Sep 2005). \nHe received his Ph.D. degree in Environmental Analytical Chemistry from Kanazawa University, Japan (2011). He also achieved a Diploma in Environment from the Tokyo Institute of Technology, Japan (2005). Besides, he has an M.Sc. degree in Applied Chemistry and a B.Sc. degree in Chemistry, all from the University of Chittagong, Bangladesh. \nDr. Rahman’s research interest includes the study of the fate and behavior of environmental pollutants in the biosphere; design of low energy and low burden environmental improvement (remediation) technology; implementation of sustainable waste management practices for treatment, handling, reuse, and ultimate residual disposition of solid wastes; nature and type of interactions in organic liquid mixtures for process engineering design applications.",institutionString:null,institution:{name:"Fukushima University",institutionURL:null,country:{name:"Japan"}}},editorTwo:{id:"201020",title:"Dr.",name:"Zinnat Ara",middleName:null,surname:"Begum",slug:"zinnat-ara-begum",fullName:"Zinnat Ara Begum",profilePictureURL:"https://mts.intechopen.com/storage/users/201020/images/system/201020.jpeg",biography:"Zinnat A. Begum received her Ph.D. in Environmental Analytical Chemistry from Kanazawa University in 2012. She achieved her Master of Science (M.Sc.) degree with a major in Applied Chemistry and a Bachelor of Science (B.Sc.) in Chemistry, all from the University of Chittagong, Bangladesh. Her work affiliations include Fukushima University, Japan (Visiting Research Fellow, Institute of Environmental Radioactivity: Mar 2016 to present), Southern University Bangladesh (Assistant Professor, Department of Civil Engineering: Jan 2015 to present), and Kanazawa University, Japan (Postdoctoral Fellow, Institute of Science and Engineering: Oct 2012 to Mar 2014; Research fellow, Venture Business Laboratory, Advanced Science and Social Co-Creation Promotion Organization: Apr 2018 to Mar 2021). The research focus of Dr. Zinnat includes the effect of the relative stability of metal-chelator complexes in the environmental remediation process designs and the development of eco-friendly soil washing techniques using biodegradable chelators.",institutionString:null,institution:{name:"Fukushima University",institutionURL:null,country:{name:"Japan"}}},editorThree:null},{id:"39",title:"Environmental Resilience and Management",coverUrl:"https://cdn.intechopen.com/series_topics/covers/39.jpg",isOpenForSubmission:!0,annualVolume:11967,editor:{id:"137040",title:"Prof.",name:"Jose",middleName:null,surname:"Navarro-Pedreño",slug:"jose-navarro-pedreno",fullName:"Jose Navarro-Pedreño",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRAXrQAO/Profile_Picture_2022-03-09T15:50:19.jpg",biography:"Full professor at University Miguel Hernández of Elche, Spain, previously working at the University of Alicante, Autonomous University of Madrid and Polytechnic University of Valencia. Graduate in Sciences (Chemist), graduate in Geography and History (Geography), master in Water Management, Treatment, master in Fertilizers and Environment and master in Environmental Management; Ph.D. in Environmental Sciences. His research is focused on soil-water and waste-environment relations, mainly on soil-water and soil-waste interactions under different management and waste reuse. His work is reflected in more than 230 communications presented in national and international conferences and congresses, 29 invited lectures from universities, associations and government agencies. Prof. Navarro-Pedreño is also a director of the Ph.D. Program Environment and Sustainability (2012-present) and a member of several societies among which are the Spanish Society of Soil Science, International Union of Soil Sciences, European Society for Soil Conservation, DessertNet and the Spanish Royal Society of Chemistry.",institutionString:"Miguel Hernández University of Elche, Spain",institution:null},editorTwo:null,editorThree:null},{id:"40",title:"Ecosystems and Biodiversity",coverUrl:"https://cdn.intechopen.com/series_topics/covers/40.jpg",isOpenForSubmission:!0,annualVolume:11968,editor:{id:"209149",title:"Prof.",name:"Salustiano",middleName:null,surname:"Mato",slug:"salustiano-mato",fullName:"Salustiano Mato",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRLREQA4/Profile_Picture_2022-03-31T10:23:50.png",biography:"Salustiano Mato de la Iglesia (Santiago de Compostela, 1960) is a doctor in biology from the University of Santiago and a Professor of zoology at the Department of Ecology and Animal Biology at the University of Vigo. He has developed his research activity in the fields of fauna and soil ecology, and in the treatment of organic waste, having been the founder and principal investigator of the Environmental Biotechnology Group of the University of Vigo.\r\nHis research activity in the field of Environmental Biotechnology has been focused on the development of novel organic waste treatment systems through composting. The result of this line of work are three invention patents and various scientific and technical publications in prestigious international journals.",institutionString:null,institution:{name:"University of Vigo",institutionURL:null,country:{name:"Spain"}}},editorTwo:{id:"60498",title:"Prof.",name:"Josefina",middleName:null,surname:"Garrido",slug:"josefina-garrido",fullName:"Josefina Garrido",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRj1VQAS/Profile_Picture_2022-03-31T10:06:51.jpg",biography:"Josefina Garrido González (Paradela de Abeleda, Ourense 1959), is a doctor in biology from the University of León and a Professor of Zoology at the Department of Ecology and Animal Biology at the University of Vigo. She has focused her research activity on the taxonomy, fauna and ecology of aquatic beetles, in addition to other lines of research such as the conservation of biodiversity in freshwater ecosystems; conservation of protected areas (Red Natura 2000) and assessment of the effectiveness of wetlands as priority areas for the conservation of aquatic invertebrates; studies of water quality in freshwater ecosystems through biological indicators and physicochemical parameters; surveillance and research of vector arthropods and invasive alien species.",institutionString:null,institution:{name:"University of Vigo",institutionURL:null,country:{name:"Spain"}}},editorThree:{id:"464288",title:"Dr.",name:"Francisco",middleName:null,surname:"Ramil",slug:"francisco-ramil",fullName:"Francisco Ramil",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y00003RI7lHQAT/Profile_Picture_2022-03-31T10:15:35.png",biography:"Fran Ramil Blanco (Porto de Espasante, A Coruña, 1960), is a doctor in biology from the University of Santiago de Compostela and a Professor of Zoology at the Department of Ecology and Animal Biology at the University of Vigo. His research activity is linked to the taxonomy, fauna and ecology of marine benthic invertebrates and especially the Cnidarian group. Since 2004, he has been part of the EcoAfrik project, aimed at the study, protection and conservation of biodiversity and benthic habitats in West Africa. He also participated in the study of vulnerable marine ecosystems associated with seamounts in the South Atlantic and is involved in training young African researchers in the field of marine research.",institutionString:null,institution:{name:"University of Vigo",institutionURL:null,country:{name:"Spain"}}}},{id:"41",title:"Water Science",coverUrl:"https://cdn.intechopen.com/series_topics/covers/41.jpg",isOpenForSubmission:!0,annualVolume:11969,editor:{id:"349630",title:"Dr.",name:"Yizi",middleName:null,surname:"Shang",slug:"yizi-shang",fullName:"Yizi Shang",profilePictureURL:"https://mts.intechopen.com/storage/users/349630/images/system/349630.jpg",biography:"Prof. Dr. Yizi Shang is a pioneering researcher in hydrology and water resources who has devoted his research career to promoting the conservation and protection of water resources for sustainable development. He is presently associate editor of Water International (official journal of the International Water Resources Association). He was also invited to serve as an associate editor for special issues of the Journal of the American Water Resources Association. He has served as an editorial member for international journals such as Hydrology, Journal of Ecology & Natural Resources, and Hydro Science & Marine Engineering, among others. He has chaired or acted as a technical committee member for twenty-five international forums (conferences). Dr. Shang graduated from Tsinghua University, China, in 2010 with a Ph.D. in Engineering. Prior to that, he worked as a research fellow at Harvard University from 2008 to 2009. Dr. Shang serves as a senior research engineer at the China Institute of Water Resources and Hydropower Research (IWHR) and was awarded as a distinguished researcher at National Taiwan University in 2017.",institutionString:"China Institute of Water Resources and Hydropower Research",institution:{name:"China Institute of Water Resources and Hydropower Research",institutionURL:null,country:{name:"China"}}},editorTwo:null,editorThree:null}]},overviewPageOFChapters:{paginationCount:17,paginationItems:[{id:"81791",title:"Self-Supervised Contrastive Representation Learning in Computer Vision",doi:"10.5772/intechopen.104785",signatures:"Yalin Bastanlar and Semih Orhan",slug:"self-supervised-contrastive-representation-learning-in-computer-vision",totalDownloads:12,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Pattern Recognition - New Insights",coverURL:"https://cdn.intechopen.com/books/images_new/11442.jpg",subseries:{id:"26",title:"Machine Learning and Data Mining"}}},{id:"79345",title:"Application of Jump Diffusion Models in Insurance Claim Estimation",doi:"10.5772/intechopen.99853",signatures:"Leonard Mushunje, Chiedza Elvina Mashiri, Edina Chandiwana and Maxwell Mashasha",slug:"application-of-jump-diffusion-models-in-insurance-claim-estimation-1",totalDownloads:2,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Data Clustering",coverURL:"https://cdn.intechopen.com/books/images_new/10820.jpg",subseries:{id:"26",title:"Machine Learning and Data Mining"}}},{id:"81557",title:"Object Tracking Using Adapted Optical Flow",doi:"10.5772/intechopen.102863",signatures:"Ronaldo Ferreira, Joaquim José de Castro Ferreira and António José Ribeiro Neves",slug:"object-tracking-using-adapted-optical-flow",totalDownloads:11,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Information Extraction and Object Tracking in Digital Video",coverURL:"https://cdn.intechopen.com/books/images_new/10652.jpg",subseries:{id:"24",title:"Computer Vision"}}},{id:"81558",title:"Thresholding Image Techniques for Plant Segmentation",doi:"10.5772/intechopen.104587",signatures:"Miguel Ángel Castillo-Martínez, Francisco Javier Gallegos-Funes, Blanca E. Carvajal-Gámez, Guillermo Urriolagoitia-Sosa and Alberto J. Rosales-Silva",slug:"thresholding-image-techniques-for-plant-segmentation",totalDownloads:15,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Information Extraction and Object Tracking in Digital Video",coverURL:"https://cdn.intechopen.com/books/images_new/10652.jpg",subseries:{id:"24",title:"Computer Vision"}}}]},overviewPagePublishedBooks:{paginationCount:9,paginationItems:[{type:"book",id:"7723",title:"Artificial Intelligence",subtitle:"Applications in Medicine and Biology",coverURL:"https://cdn.intechopen.com/books/images_new/7723.jpg",slug:"artificial-intelligence-applications-in-medicine-and-biology",publishedDate:"July 31st 2019",editedByType:"Edited by",bookSignature:"Marco Antonio Aceves-Fernandez",hash:"a3852659e727f95c98c740ed98146011",volumeInSeries:1,fullTitle:"Artificial Intelligence - Applications in Medicine and Biology",editors:[{id:"24555",title:"Dr.",name:"Marco Antonio",middleName:null,surname:"Aceves Fernandez",slug:"marco-antonio-aceves-fernandez",fullName:"Marco Antonio Aceves Fernandez",profilePictureURL:"https://mts.intechopen.com/storage/users/24555/images/system/24555.jpg",biography:"Dr. Marco Antonio Aceves Fernandez obtained his B.Sc. (Eng.) in Telematics from the Universidad de Colima, Mexico. He obtained both his M.Sc. and Ph.D. from the University of Liverpool, England, in the field of Intelligent Systems. He is a full professor at the Universidad Autonoma de Queretaro, Mexico, and a member of the National System of Researchers (SNI) since 2009. Dr. Aceves Fernandez has published more than 80 research papers as well as a number of book chapters and congress papers. He has contributed in more than 20 funded research projects, both academic and industrial, in the area of artificial intelligence, ranging from environmental, biomedical, automotive, aviation, consumer, and robotics to other applications. He is also a honorary president at the National Association of Embedded Systems (AMESE), a senior member of the IEEE, and a board member of many institutions. 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For example, some of the issues of interest could be the following: Advances in evolutionary computation (Genetic algorithms, Genetic programming, Bio-inspired metaheuristics, Hybrid metaheuristics, Parallel ECs); Applications of evolutionary algorithms (Machine learning and Data Mining with EAs, Search-Based Software Engineering, Scheduling, and Planning Applications, Smart Transport Applications, Applications to Games, Image Analysis, Signal Processing and Pattern Recognition, Applications to Sustainability).",coverUrl:"https://cdn.intechopen.com/series_topics/covers/25.jpg",keywords:"Genetic Algorithms, Genetic Programming, Evolutionary Programming, Evolution Strategies, Hybrid Algorithms, Bioinspired Metaheuristics, Ant Colony Optimization, Evolutionary Learning, Hyperparameter Optimization"},{id:"26",title:"Machine Learning and Data Mining",scope:"The scope of machine learning and data mining is immense and is growing every day. It has become a massive part of our daily lives, making predictions based on experience, making this a fascinating area that solves problems that otherwise would not be possible or easy to solve. This topic aims to encompass algorithms that learn from experience (supervised and unsupervised), improve their performance over time and enable machines to make data-driven decisions. It is not limited to any particular applications, but contributions are encouraged from all disciplines.",coverUrl:"https://cdn.intechopen.com/series_topics/covers/26.jpg",keywords:"Intelligent Systems, Machine Learning, Data Science, Data Mining, Artificial Intelligence"},{id:"27",title:"Multi-Agent Systems",scope:"Multi-agent systems are recognised as a state of the art field in Artificial Intelligence studies, which is popular due to the usefulness in facilitation capabilities to handle real-world problem-solving in a distributed fashion. 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We welcome chapters presenting research on the many applications of multi-agent studies including, but not limited to, the following key areas: machine learning for multi-agent systems; modeling swarms robots and flocks of UAVs with multi-agent systems; decision science and multi-agent systems; software engineering for and with multi-agent systems; tools and technologies of multi-agent systems.",coverUrl:"https://cdn.intechopen.com/series_topics/covers/27.jpg",keywords:"Collaborative Intelligence, Learning, Distributed Control System, Swarm Robotics, Decision Science, Software Engineering"}],annualVolumeBook:{},thematicCollection:[],selectedSeries:{title:"Artificial Intelligence",id:"14"},selectedSubseries:null},seriesLanding:{item:{id:"25",title:"Environmental Sciences",doi:"10.5772/intechopen.100362",issn:"2754-6713",scope:"
\r\n\tScientists have long researched to understand the environment and man’s place in it. The search for this knowledge grows in importance as rapid increases in population and economic development intensify humans’ stresses on ecosystems. Fortunately, rapid increases in multiple scientific areas are advancing our understanding of environmental sciences. Breakthroughs in computing, molecular biology, ecology, and sustainability science are enhancing our ability to utilize environmental sciences to address real-world problems. \r\n\tThe four topics of this book series - Pollution; Environmental Resilience and Management; Ecosystems and Biodiversity; and Water Science - will address important areas of advancement in the environmental sciences. They will represent an excellent initial grouping of published works on these critical topics.
",coverUrl:"https://cdn.intechopen.com/series/covers/25.jpg",latestPublicationDate:"April 13th, 2022",hasOnlineFirst:!1,numberOfOpenTopics:4,numberOfPublishedChapters:9,numberOfPublishedBooks:1,editor:{id:"197485",title:"Dr.",name:"J. Kevin",middleName:null,surname:"Summers",fullName:"J. Kevin Summers",profilePictureURL:"https://mts.intechopen.com/storage/users/197485/images/system/197485.jpg",biography:"J. Kevin Summers is a Senior Research Ecologist at the Environmental Protection Agency’s (EPA) Gulf Ecosystem Measurement and Modeling Division. He is currently working with colleagues in the Sustainable and Healthy Communities Program to develop an index of community resilience to natural hazards, an index of human well-being that can be linked to changes in the ecosystem, social and economic services, and a community sustainability tool for communities with populations under 40,000. He leads research efforts for indicator and indices development. Dr. Summers is a systems ecologist and began his career at the EPA in 1989 and has worked in various programs and capacities. This includes leading the National Coastal Assessment in collaboration with the Office of Water which culminated in the award-winning National Coastal Condition Report series (four volumes between 2001 and 2012), and which integrates water quality, sediment quality, habitat, and biological data to assess the ecosystem condition of the United States estuaries. He was acting National Program Director for Ecology for the EPA between 2004 and 2006. He has authored approximately 150 peer-reviewed journal articles, book chapters, and reports and has received many awards for technical accomplishments from the EPA and from outside of the agency. Dr. Summers holds a BA in Zoology and Psychology, an MA in Ecology, and Ph.D. in Systems Ecology/Biology.",institutionString:null,institution:{name:"Environmental Protection Agency",institutionURL:null,country:{name:"United States of America"}}},subseries:[{id:"38",title:"Pollution",keywords:"Human activity, Pollutants, Reduced risks, Population growth, Waste disposal, Remediation, Clean environment",scope:"
\r\n\tPollution is caused by a wide variety of human activities and occurs in diverse forms, for example biological, chemical, et cetera. In recent years, significant efforts have been made to ensure that the environment is clean, that rigorous rules are implemented, and old laws are updated to reduce the risks towards humans and ecosystems. However, rapid industrialization and the need for more cultivable sources or habitable lands, for an increasing population, as well as fewer alternatives for waste disposal, make the pollution control tasks more challenging. Therefore, this topic will focus on assessing and managing environmental pollution. It will cover various subjects, including risk assessment due to the pollution of ecosystems, transport and fate of pollutants, restoration or remediation of polluted matrices, and efforts towards sustainable solutions to minimize environmental pollution.
",annualVolume:11966,isOpenForSubmission:!0,coverUrl:"https://cdn.intechopen.com/series_topics/covers/38.jpg",editor:{id:"110740",title:"Dr.",name:"Ismail M.M.",middleName:null,surname:"Rahman",fullName:"Ismail M.M. Rahman",profilePictureURL:"https://mts.intechopen.com/storage/users/110740/images/2319_n.jpg",institutionString:null,institution:{name:"Fukushima University",institutionURL:null,country:{name:"Japan"}}},editorTwo:{id:"201020",title:"Dr.",name:"Zinnat Ara",middleName:null,surname:"Begum",fullName:"Zinnat Ara Begum",profilePictureURL:"https://mts.intechopen.com/storage/users/201020/images/system/201020.jpeg",institutionString:null,institution:{name:"Fukushima University",institutionURL:null,country:{name:"Japan"}}},editorThree:null,editorialBoard:[{id:"252368",title:"Dr.",name:"Meng-Chuan",middleName:null,surname:"Ong",fullName:"Meng-Chuan Ong",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRVotQAG/Profile_Picture_2022-05-20T12:04:28.jpg",institutionString:null,institution:{name:"Universiti Malaysia Terengganu",institutionURL:null,country:{name:"Malaysia"}}},{id:"63465",title:"Prof.",name:"Mohamed Nageeb",middleName:null,surname:"Rashed",fullName:"Mohamed Nageeb Rashed",profilePictureURL:"https://mts.intechopen.com/storage/users/63465/images/system/63465.gif",institutionString:null,institution:{name:"Aswan University",institutionURL:null,country:{name:"Egypt"}}},{id:"187907",title:"Dr.",name:"Olga",middleName:null,surname:"Anne",fullName:"Olga Anne",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bSBE5QAO/Profile_Picture_2022-04-07T09:42:13.png",institutionString:null,institution:{name:"Klaipeda State University of Applied Sciences",institutionURL:null,country:{name:"Lithuania"}}}]},{id:"39",title:"Environmental Resilience and Management",keywords:"Anthropic effects, Overexploitation, Biodiversity loss, Degradation, Inadequate Management, SDGs adequate practices",scope:"
\r\n\tThe environment is subject to severe anthropic effects. Among them are those associated with pollution, resource extraction and overexploitation, loss of biodiversity, soil degradation, disorderly land occupation and planning, and many others. These anthropic effects could potentially be caused by any inadequate management of the environment. However, ecosystems have a resilience that makes them react to disturbances which mitigate the negative effects. It is critical to understand how ecosystems, natural and anthropized, including urban environments, respond to actions that have a negative influence and how they are managed. It is also important to establish when the limits marked by the resilience and the breaking point are achieved and when no return is possible. The main focus for the chapters is to cover the subjects such as understanding how the environment resilience works, the mechanisms involved, and how to manage them in order to improve our interactions with the environment and promote the use of adequate management practices such as those outlined in the United Nations’ Sustainable Development Goals.
",annualVolume:11967,isOpenForSubmission:!0,coverUrl:"https://cdn.intechopen.com/series_topics/covers/39.jpg",editor:{id:"137040",title:"Prof.",name:"Jose",middleName:null,surname:"Navarro-Pedreño",fullName:"Jose Navarro-Pedreño",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRAXrQAO/Profile_Picture_2022-03-09T15:50:19.jpg",institutionString:"Miguel Hernández University of Elche, Spain",institution:null},editorTwo:null,editorThree:null,editorialBoard:[{id:"177015",title:"Prof.",name:"Elke Jurandy",middleName:null,surname:"Bran Nogueira Cardoso",fullName:"Elke Jurandy Bran Nogueira Cardoso",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRGxzQAG/Profile_Picture_2022-03-25T08:32:33.jpg",institutionString:"Universidade de São Paulo, Brazil",institution:null},{id:"211260",title:"Dr.",name:"Sandra",middleName:null,surname:"Ricart",fullName:"Sandra Ricart",profilePictureURL:"https://mts.intechopen.com/storage/users/211260/images/system/211260.jpeg",institutionString:null,institution:{name:"University of Alicante",institutionURL:null,country:{name:"Spain"}}}]},{id:"40",title:"Ecosystems and Biodiversity",keywords:"Ecosystems, Biodiversity, Fauna, Taxonomy, Invasive species, Destruction of habitats, Overexploitation of natural resources, Pollution, Global warming, Conservation of natural spaces, Bioremediation",scope:"
\r\n\tIn general, the harsher the environmental conditions in an ecosystem, the lower the biodiversity. Changes in the environment caused by human activity accelerate the impoverishment of biodiversity.
\r\n
\r\n\tBiodiversity refers to “the variability of living organisms from any source, including terrestrial, marine and other aquatic ecosystems and the ecological complexes of which they are part; it includes diversity within each species, between species, and that of ecosystems”.
\r\n
\r\n\tBiodiversity provides food security and constitutes a gene pool for biotechnology, especially in the field of agriculture and medicine, and promotes the development of ecotourism.
\r\n
\r\n\tCurrently, biologists admit that we are witnessing the first phases of the seventh mass extinction caused by human intervention. It is estimated that the current rate of extinction is between a hundred and a thousand times faster than it was when man first appeared. The disappearance of species is caused not only by an accelerated rate of extinction, but also by a decrease in the rate of emergence of new species as human activities degrade the natural environment. The conservation of biological diversity is "a common concern of humanity" and an integral part of the development process. Its objectives are “the conservation of biological diversity, the sustainable use of its components, and the fair and equitable sharing of the benefits resulting from the use of genetic resources”.
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\r\n\tThe following are the main causes of biodiversity loss:
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\r\n\t• The destruction of natural habitats to expand urban and agricultural areas and to obtain timber, minerals and other natural resources.
\r\n
\r\n\t• The introduction of alien species into a habitat, whether intentionally or unintentionally which has an impact on the fauna and flora of the area, and as a result, they are reduced or become extinct.
\r\n
\r\n\t• Pollution from industrial and agricultural products, which devastate the fauna and flora, especially those in fresh water.
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\r\n\t• Global warming, which is seen as a threat to biological diversity, and will become increasingly important in the future.
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\r\n\tWater is not only a crucial substance needed for biological life on Earth, but it is also a basic requirement for the existence and development of the human society. Owing to the importance of water to life on Earth, early researchers conducted numerous studies and analyses on the liquid form of water from the perspectives of chemistry, physics, earth science, and biology, and concluded that Earth is a "water polo". Water covers approximately 71% of Earth's surface. However, 97.2% of this water is seawater, 21.5% is icebergs and glaciers, and only 0.65% is freshwater that can be used directly by humans. As a result, the amount of water reserves available for human consumption is limited. The development, utilization, and protection of freshwater resources has become the focus of water science research for the continued improvement of human livelihoods and society.
\r\n
\r\n\tWater exists as solid, liquid, and gas within Earth’s atmosphere, lithosphere, and biosphere. Liquid water is used for a variety of purposes besides drinking, including power generation, ecology, landscaping, and shipping. Because water is involved in various environmental hydrological processes as well as numerous aspects of the economy and human society, the study of various phenomena in the hydrosphere, the laws governing their occurrence and development, the relationship between the hydrosphere and other spheres of Earth, and the relationship between water and social development, are all part of water science. Knowledge systems for water science are improving continuously. Water science has become a specialized field concerned with the identification of its physical, chemical, and biological properties. In addition, it reveals the laws of water distribution, movement, and circulation, and proposes methods and tools for water development, utilization, planning, management, and protection. Currently, the field of water science covers research related to topics such as hydrology, water resources and water environment. It also includes research on water related issues such as safety, engineering, economy, law, culture, information, and education.
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