Housing targets of the public and private sectors in Malaysia (units)
\r\n\tAs the subject of adhesives is in constant development, this book's purpose is to get together information about adhesives science and technology, recent advances, and applications that use adhesive technology. Also, to make these contents available to engineering students, engineers, researchers, and the people interested in this topic. The book is expected to present works that aim to contribute to the development of new technologies and the use of non-traditional materials in engineering.
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Housing is an important wealth constituent [2] that affects the welfare of all people either directly or indirectly [3] in the form of improved living environments. Moreover, the housing sector significantly affects the macroeconomy of Malaysia: in 1996, it contributed 4.5% to the growth domestic product [4] and acted as a tool to ‘pump prime’ the economy following the Asian financial crisis from 1997 to 1998 [5].
Residences cannot be developed without housing developers [6]. According to Jaafar et al. [7], housing development is the provision of money to build residential estates under stipulated rules and regulations. Such development is a localized [8], unique, and high-risk industry given the imposition of regulations [7] that may inevitably affect the construction process. To start a housing development business, entrepreneurs should have a large cash capital of no less than RM 250,000 [9]. Therefore, such entrepreneurs must have a disposition for risk-taking. By contrast, Abdul-Aziz et al. [10] claim that housing developers are risk-averse and that they maximize profits without thinking overly about risks and challenges.
Jaafar et al. [7, 11] also define housing developers as the chief coordinators that construct residential dwellings for sale and profit. Housing developers convert on-paper ideas into housing products [12] as project initiators [6]. In Malaysia, housing developers must obtain a license from the Ministry of Housing and Local Government (MHLG) [13], and they are encouraged to register as members of the Real Estate and Housing Developers’ Association Malaysia (REHDA) [14]. Khalid [15] has also defined the term ‘private housing developers’ as businesses/entrepreneurs who provide housing units for sale. These businesses/entrepreneurs hold both an MHLG license and a membership in REHDA. However, Jaafar and Wan-Daud [16] contend that those who have developed four or fewer housing units, or who have sold four or fewer lots of land, cannot be considered housing developers because they deviate from the Housing Development Act (Control and Licensing) established in 1966. Therefore, they are known as micro-housing developers in the current study. With regard to size (in terms of number of houses), small-scale developers have developed 5–49 houses; medium-scale developers have built 50 –200 housing units; and large-scale developers have erected more than 200 units for each project.
\n\t\t\t\t | \n\t\t\t\n\t\t\t\t | \n\t\t||
\n\t\t\t | \n\t\t\t\t | \n\t\t\t\n\t\t\t\t | \n\t\t\t\n\t\t\t\t | \n\t\t
\n\t\t\t\t | \n\t\t\t\n\t\t\t\t | \n\t\t\t\n\t\t\t\t | \n\t\t\t\n\t\t\t\t | \n\t\t
Low-cost housing | \n\t\t\t67,000 | \n\t\t\t- | \n\t\t\t- | \n\t\t
Housing by commercial agencies | \n\t\t\t13,500 | \n\t\t\t8,200 | \n\t\t\t4,700 | \n\t\t
Housing by land schemes | \n\t\t\t4,500 | \n\t\t\t- | \n\t\t\t- | \n\t\t
Institutional accommodation quarters for staff | \n\t\t\t- | \n\t\t\t18,900 | \n\t\t\t24,000 | \n\t\t
\n\t\t\t\t | \n\t\t\t\n\t\t\t\t | \n\t\t\t\n\t\t\t\t | \n\t\t\t\n\t\t\t\t | \n\t\t
Private developers | \n\t\t\t77,700 | \n\t\t\t178,000 | \n\t\t\t194,495 | \n\t\t
Cooperative societies | \n\t\t\t2,700 | \n\t\t\t5,600 | \n\t\t\t4,600 | \n\t\t
\n\t\t\t\t | \n\t\t\t\n\t\t\t\t | \n\t\t\t\n\t\t\t\t | \n\t\t\t\n\t\t\t\t | \n\t\t
Housing targets of the public and private sectors in Malaysia (units)
Source: Malaysia (2006)
Both the public and private sectors provide housing in Malaysia. Since the declaration of the country’s independence, the public sector has assumed the role of providing housing for people. The housing projects constructed by this sector are normally funded by the government, and these funds are allocated from the national budget [17]. Nonetheless, Jaafar et al. [11] note that private housing developers are also key suppliers of new housing in Malaysia. Thus, they have considerable influence on the industry. Their housing schemes are normally self-financed, deposited through would-be buyers, or obtained from the financial market [17]. In fact, the private sector has provided houses more effectively than the public sector under the National Housing Policy [18] given the economic conditions that allow the private sector to secure high returns in the industry [14].
The housing development sector in Malaysia has transformed significantly since the country gained its independence in 1957 [10]. In the Second Malaysia Plan (from 1971 to 1975), the private sector increased its influence when the government sought the cooperation of private developers in the provision of low-cost houses. As per this plan, at least 30% of the houses in each private housing project must be low cost. The private sector has exceeded this set target by providing a surplus of 41%, 29.4%, and 116% of houses over the past three consecutive Malaysia Plan periods (1991–1995, 1996–2000, and 2000–2005, respectively). Table 1 shows the actual housing provision target for the period of 2006–2010 in Malaysia. In the Ninth Malaysia Plan, the private sector is required to construct 80,400 low-cost housing units, 183,600 medium-cost units, and 199,095 high-cost units. Unfortunately, the government has not documented the statistics for the targets in the Tenth Malaysia Plan (2011–2015) and for the housing erected by the public and private sectors.
The universal demand for housing increases over time primarily as a result of demographic trends and rising income [19]. Since the rapid urbanization that began in 1960, a significant budget has been allocated for housing provision in every five-year Malaysian development plan, especially for the urban areas [20]. The main factors that spur the strong housing demand are population growth and age profile, urbanization and migration, and household income. However, gender, occupation, education, and transportation costs also influence high public demand. Moreover, housing demand can also be associated with the preferred housing choices of local homebuyers, which mainly vary in terms of housing category, zone, project size, and project period [21].
\n\t\t\t\t | \n\t\t\t\n\t\t\t\t | \n\t\t\t\n\t\t\t\t | \n\t\t\t\n\t\t\t\t | \n\t\t\t\n\t\t\t\t | \n\t\t
1970 | \n\t\t\t10.4 | \n\t\t\t3.9 | \n\t\t\t31.0 | \n\t\t\t26.9 | \n\t\t
1980 | \n\t\t\t13.7 | \n\t\t\t2.3 | \n\t\t\t42.0 | \n\t\t\t34.2 | \n\t\t
1991 | \n\t\t\t18.4 | \n\t\t\t2.6 | \n\t\t\t56.0 | \n\t\t\t50.6 | \n\t\t
2000 | \n\t\t\t23.3 | \n\t\t\t2.6 | \n\t\t\t71.0 | \n\t\t\t61.8 | \n\t\t
2010 | \n\t\t\t28.3 | \n\t\t\t1.9 | \n\t\t\t85.0 | \n\t\t\t71.0 | \n\t\t
2020 | \n\t\t\t31.6 | \n\t\t\t1.1 | \n\t\t\t95.0 | \n\t\t\t83.0 | \n\t\t
Population growth, density, and urbanization of Malaysia (1970–2020)
Source: Malaysia (2006)
Table 2 indicates population growth, density, and urbanization in Malaysia from 1970 to 2020. The Malaysian population has increased from 10.4 million to 28.3 million at an average rate of 2.5% over the past four decades (1970–2010), which denotes an increase of almost three times. The population size is expected to reach 31.6 million in 2020 at an average growth rate of 1.1%, as per the projection of statisticians. The population density in Malaysia increased from 31 people per square kilometre in 1970 to 42 in 1980, then to 56 in 1991 and to 71 in 2000. Likewise, the level of urbanization in this country also increases. The percentage of the population residing in urban areas increased from 26.9% in 1970 to 34.2% in 1980 and 50.6% in 1990. By 2000, more than two-thirds of the population (61.8%) was located in the urban areas of Malaysia [22]. Studies by national scholars [19–20, 23] substantiated this scenario by reporting the decline of the rural population to 36% and the steady growth of the urban populace in 2005. These circumstances aggravate competition among private housing developers to fulfil housing needs and enhance housing development in the country.
The Malaysian government addresses the substantial increase in housing demand through the MHLG. This department has actively set the direction for national development plans with respect to housing [4]. At present, it provides input and directs issues related to housing deliberation, needs, and target numbers. Furthermore, it collaborates with other parties to implement related programmes, strategies, and plans. Aside from the aforementioned responsibilities, the critical role of MHLG is to monitor the effectiveness of housing procedures in Malaysia to protect the benefits of all stakeholders.
The Malaysian government has formulated a set of policies to strengthen the involvement of the private sector in housing production and delivery [14]. Its housing policy is definitive, and is articulated adequately in all of the five-year Malaysia Plans [24]. Furthermore, this policy primarily aims to ensure that all Malaysians have access to adequate and decent shelter to eliminate slum dwellings and squatter living areas. The MHLG plans the regulation of residential developments, issues licenses and permits for advertisement and sale to housing developers, and ensures that all parties involved abide by all of the legislations and regulations through proper enforcement and by providing necessary financial assistance [5]. Specifically, the ministry is tasked with enforcing housing-related laws and regulations to safeguard the interests of homebuyers [25]. The MHLG also considers applications for development and for the licensing of housing developers in Peninsular Malaysia [9].
The Malaysian housing industry is highly controlled by several laws, policies, and guidelines, which include the National Land Code (NLC) 1965, Government Act 1976 (Act 171), Uniform Building By-Law 1984 (UBBL), Environmental Quality Act 1984, Local Government Act 1976, Street, Drainage and Building Act 1974 (Act 133), Town and Country Planning Act 1976 (Act 172), Town Planning Act 1995, Housing Developers (Control and Licensing) Act 1966, Strata Titles Act 1985, Fire Services Act 1988, and Sewerage Services Act 1993, as outlined by Abdullah et al. [26]. In addition to these laws, housing developers who design the layout of proposed housing projects should consider the requirements imposed by the local authority and the demand factor of the project [15] to ensure business survival.
To implement a housing development project, homebuilders should perform the following: acquire land, alter land use to suit the intended development purpose, integrate resources required for the projects, interpret the demand and supply of the market, provide housing units, and finally sell the completed houses. Furthermore, actual housing projects must also incorporate the provisions of various prescribed facilities and amenities as well as safeguard the environment [27]. Jaafar et al. [28] posit that the most critical supporting factors of housing development are finance, land, building materials, and consultancy services. Appointed consultants, who generally include architects and engineers, must follow all of the regulations imposed by the government; these regulations include obtaining permission approval, following the guidelines for construction activities, and adhering to the conditions imposed upon completion of a project, such as procedures for procuring a Certificate of Completion and Compliance (CCC).
Figure 1 presents the processes and procedures involved in project development. Jaafar and Wan-Daud [16] state that the practices are quite similar for both large and small projects. However, micro-developers without a development license must provide certain infrastructure facilities, such as elevated water tanks, electricity sub-stations, and other public amenities.
Developing New Micro-Housing Developers through Training
Hynes and Richardson [29] define training as a knowledgeable initiative to educate specific skills for the enhancement of individuals and organizations. Training nascent entrepreneurs is important because it encourages a tendency to start a business [30] and boosts the likelihood of entrepreneurial intention [31]. According to de Mel et al. [32], increased profits and improved management practices can be formed with efficient training, which is believed to reduce the rate of business failures [33]. An ideal scenario could be achieved if entrepreneurs can quickly adapt to the industry and the environment. As a part of entrepreneurial activities, the success of housing entrepreneurs also depends on flexibility and uncertainties.
The Malaysian housing sector is commonly referred to as ‘a rich businessman’s game’ that is monopolized by large companies, including S P Setia Berhad, Sunway Berhad, Mah Sing Group Berhad, Paramount Corporation Berhad, UM Land, and a few government-related agencies. The lucrative returns of the housing sector have attracted companies from different sectors to join the industry. Sime Darby Plantation, YTL Communications, and Naza Motor Trading Sdn Bhd are only a few examples of mega players in other industries that have diversified into the housing sector. In view of the high impact of the industry toward the environment, people tend to recognize these giant companies and ignore the existence of small and newly established companies. The existence of micro-and small housing development firms has been mostly ignored, particularly in large Malaysian cities, such as Kuala Lumpur, Penang, and Johor Bahru. Land cost is the main constraint for the start-up and survival of such firms. However, small and new firms can still take advantage of the less developed cities in Malaysia, where the land cost is still affordable. Many micro-and small housing developers operate in East Peninsular Malaysia, particularly in Kelantan and Terengganu, because of the lack of houses provided by large housing developers in this area.
As previously mentioned, private housing developers in Malaysia register with the Real Estate and Housing Developers’ Association (REHDA). With branches in each state of Malaysia, REHDA serves a central function in ensuring that the views of housing developers are heard by relevant authorities and government agencies [15,28]. The REHDA Institute is responsible for providing courses and training to the industry players. The main task of REHDA Institute is to address and facilitate the training and education of the industry. Courses and seminars offered for industry players are related to legislation/regulations/policies/procedures, corporate/financial aspects, technical and infrastructure aspects, property market data, analytical tools, and marketing prospects. According to a survey by Ali [5], housing developers noted that the courses organized by the government sector, the private sector, or NGOs are more focused on the acts and licensing of the housing process than on the procedures or technical aspects.
Elias and Pihie [34] reveal that attending courses and seminars, especially after starting a company, promotes entrepreneurship and influences the success of an entrepreneur and a firm. Moreover, Ali [5] indicates that attending courses and seminars for business start-ups can ensure the smooth operation of a company. Attending short courses can be considered informal education, which has been recognized as an important tool for providing excellent exposure and information to an individual striving to become an expert, skilful, and well-trained entrepreneur. Examples of informal education (can be reaped by participants) on the part of housing developers are personal networking with other experienced entrepreneurs [35] and having a mentoring relationship with industry experts [36]. Exchanging ideas and opinions, participating in first-hand learning, and sharing experiences with fellow participants are all beneficial practices that housing entrepreneurs can utilize to achieve business longevity in the future [37].
For this case, training provision recognizes the importance of entrepreneurial development in gaining insight into the business environment in which the business operates. The previous section provides profound justifications for the need to train new micro-and small housing entrepreneurs. In consideration of the high capital requirements for starting a business, the strategy of this course is to simultaneously equip micro-and small housing developers with managerial skills and technical knowledge. Given their lack of exposure to the housing business, people tend to associate the housing sector with high-risk production that requires high capital and involves long approval process. The aforementioned factors are among the main restrictions that hinder people from participating in this industry, thereby gradually creating a wide gap between large and small housing developers in Malaysia. Thus, the School of Housing, Building, and Planning of Universiti Sains Malaysia has formed a strategic partnership with an inspiring industry player, Maka Corporation Sdn Bhd, to offer courses on how to improve the potential of new housing developers in Malaysia. The decisive collaboration between the two parties has successfully produced basic and advanced modules for training new and existing housing developers. The main objective of this endeavour is to ‘turn the potential entrepreneurs into knowledgeable housing developers’ with marketing, management, and basic financial skills.
The first course was an introductory course on the housing development business and was conducted in June 2009. This course discusses the fundamental aspects of housing development to motivate nascent entrepreneurs to become fully-fledged housing developers. After a series of basic courses, due to high demand from the public, an advanced course was formulated to expose new developers and existing industry players to the current knowledge and industrial matters for project and business survivability. Introduced in August 2010, the advance course includes three aspects; inter alia entail industry updates, project management, and strategic management of the firm. The two-day course involves various speakers from government agencies, successful housing developers, and experienced consultants. The courses were held in select hotels in Kuala Lumpur because this capital city is a business hub for all Malaysians. The hotel arrangements and marketing of the courses were made by both parties, mainly through Internet marketing and brochure distribution. Among the courses offered, the least frequent is available once a year. The modules were reviewed and modified occasionally on the basis of the comments given by the participants to ensure the relevance of the content. The following section presents the latest module developed by the two organizations.
The objectives of the introductory course are as follows:
To offer knowledge on housing development with regard to basic requirements for entrepreneurs to start a career as housing developers. Emphasis is placed on the requirements imposed by current housing laws and specific acts.
To expose prospective house builders to the related processes, procedures, and legislations of housing development—from acquiring or purchasing land to handing over the houses to homebuyers. Such exposure includes conversion and subdivision of land, obtaining approval for building plans, application for developer licenses and advertising permits, as well as obtaining ‘Certificates of Occupancy’ and other pertinent requirements and documents.
To present holistic guidance in planning and developing properties, such as training on how to conduct feasibility studies, plan cash flows, and prepare progress and project management reports.
To find proof for, or to verify, financing and insurance facilities available to house buyers and project developers.
To provide participants with opportunities to acquire first-hand experiences while receiving support and guidance from experienced developers on how to be successful.
The module includes the following:
Introduction to the Housing and Property Industry:
Current scenario of the housing industry in Malaysia.
Significance of the industry.
Strength, weakness, opportunity, and threat (SWOT) analysis.
Housing demand and market analysis.
Career as Housing Developers:
Who is the developer? What does he/she do?
Requirements of a housing developer.
Career opportunities provided by the industry.
Advantages of being a developer.
Step-by-step strategy for becoming a developer.
Procedures for Land Acquisition:
Type of land ownership.
Guidelines for land acquisition.
Identification of strategic land.
Direct purchase vs. joint venture (JV).
Terms and Conditions for Property Development Approval:
Application for planning approval.
Application for land conversion and subdivision.
Building and infrastructure plan approval.
Application for occupational certificate for handing over a property.
Procedures in Acquiring Developer’s License and Advertisement Permit:
Application for a developer’s license.
Application for a sale and advertisement permit.
Facilities provided in portal MHLG.
Housing Sale and Marketing Strategy:
Recognizing the housing market through statistical data.
Marketing mix— the 4Ps principle (product, price, promotion, and place).
Convincing people to purchase.
Common modes of marketing—advertisement, promotion, agent, etc.
Bank Financial Loan Facilities:
Funding facilities provided by banks.
Preparation of a working paper.
Application and claim conditions and procedures.
End financing for purchasers.
Conditions of offer.
Treasury Housing Loan Facilities:
Funding facilities provided by the Treasury Department, Ministry of Finance.
Application and claim conditions and procedures.
Conditions of offer.
Common mistakes made by applicants.
Cash Flow Analysis:
Factors that affect project viability.
Feasibility analysis.
Cash inflow and cash outflow.
Project Implementation and Control:
Procedures and types of contract.
Progress and performance report.
Monitoring your project.
Strategy for Initiating Business in Housing Industry:
Starting a housing business.
Dos and don’ts.
Project development from the contractor and developer perspective.
The objectives of the advanced course are as follows:
To expose the participants to current updates and future prospects of the Malaysian housing industry.
To impart up-to-date information on government policies and procedures.
To guide the entrepreneurs toward business enhancement, especially in terms of project and financial management.
To provide knowledge on the latest tax principles affecting developers.
To share novel project designs and innovations for the participants to implement.
To identify strategic issues of the development process to ensure firm capability.
The module includes the following:
Property Market Survey: Present and Future:
Current market and related data on the real estate sector.
Demand and supply in every Malaysian state.
Prospects of the industry.
Implementation of Industrialized Building System (IBS) in the Real Estate Industry:
Introduction and concept of IBS.
IBS applications, procedures, and rules.
Advantages of IBS implementation.
IBS manufacturers in Malaysia.
Strata Titles Act 1985:
Introduction to Strata Titles (Amendment) Act of 2007.
Types of available schemes and strata title application.
Application and processing procedure.
Innovations in the Development of Housing Projects:
Sustainable project planning and integration.
Development concept based on green technology.
Recent innovations in project and housing design.
Effective Financial Management for Developers:
Introduction to financial management for housing developers.
Managing a project and company cash flow.
Project feasibility analysis: cost, income, profit and loss, internal rate of return, etc.
Overcoming cash flow deficits.
Taxation Matters Affecting Developers and the Housing Industry:
Amendments to the Property Gains Tax Act of 1976.
Tax management system for housing developers.
Tax planning strategy for housing developers.
E-Marketing for Developers:
Importance of new media.
Types of online advertisement.
Guideline for effective Internet marketing.
Facebook adverts: data comprehension and profit calculation.
Key Performance Indicators (KPI) for Housing Firms:
Definition of KPI.
Job scope and performance target of a company.
Scorecard preparation.
KPI management as a performance benchmark.
Goods and Services Tax (GST): Implementation and Impacts:
Introduction to GST.
Scope and mechanism of GST.
Key terms of GST.
Accounting effects and issues.
Branding for Housing Firms and Products:
Strength of branding for image consolidation.
Branding strategy and its effects.
Relationship between branding and reputation.
Paradigm shift for rebranding of housing developers.
For each course, the participants will be given a feedback form on which they can indicate their satisfaction with the course. The survey form is divided into four sections: evaluation of programme objectives, content, presentation, and overall appraisal. Nonetheless, for reference, the introductory course entails 11 presentations, whereas the advanced course involves ten presentations over a two-day workshop. Throughout the course, a three-point Likert scale comprising (1) Poor, (2) Good, and (3) Excellent ratings is applied. The measurement of mean value is used in this study to gauge the operationalized constructs. The subsequent analysis reveals the responses obtained from the latest courses handled by both parties.
Date of the course: 18–19 December 2013
Number of participants: 101
Number of responses: 84
\n\t\t\t\t | \n\t\t\t\n\t\t\t\t | \n\t\t
\n\t\t\t\t | \n\t\t\t\n\t\t |
(a) What is your overall view of the programme? | \n\t\t\t2.40 | \n\t\t
(b) How do you rate the quality of the programme content? | \n\t\t\t2.33 | \n\t\t
\n\t\t\t\t | \n\t\t\t\n\t\t |
(a) Ease of understanding | \n\t\t\t2.44 | \n\t\t
(b) Presentation effectiveness | \n\t\t\t2.30 | \n\t\t
(c) Fulfilling self-development | \n\t\t\t2.39 | \n\t\t
\n\t\t\t\t | \n\t\t\t\n\t\t |
How do you assess the performance of each presentation? | \n\t\t\t\n\t\t |
(a) Presenter Paper 1 | \n\t\t\t2.30 | \n\t\t
(b) Presenter Paper 2 | \n\t\t\t2.45 | \n\t\t
(c) Presenter Paper 3 | \n\t\t\t2.27 | \n\t\t
(d) Presenter Paper 4 | \n\t\t\t2.40 | \n\t\t
(e) Presenter Paper 5 | \n\t\t\t2.70 | \n\t\t
(f) Presenter Paper 6 | \n\t\t\t2.31 | \n\t\t
(g) Presenter Paper 7 | \n\t\t\t2.58 | \n\t\t
(h) Presenter Paper 8 | \n\t\t\t2.31 | \n\t\t
(i) Presenter Paper 9 | \n\t\t\t2.29 | \n\t\t
(j) Presenter Paper 10 | \n\t\t\t2.52 | \n\t\t
(k) Presenter Paper 11 | \n\t\t\t2.32 | \n\t\t
Mean values for analysis of introductory course
Date of latest course: 18–19 June 2014
Number of participants: 105
Number of responses: 81
\n\t\t\t\t | \n\t\t\t\n\t\t\t\t | \n\t\t
\n\t\t\t\t | \n\t\t\t\n\t\t |
(a) What is your overall view of the programme? | \n\t\t\t2.54 | \n\t\t
(b) How do you rate the quality of the programme contents? | \n\t\t\t2.48 | \n\t\t
\n\t\t\t\t | \n\t\t\t\n\t\t |
(a) Ease of understanding | \n\t\t\t2.51 | \n\t\t
(b) Presentation effectiveness | \n\t\t\t2.35 | \n\t\t
(c) Fulfilling self-development | \n\t\t\t2.38 | \n\t\t
\n\t\t\t\t | \n\t\t\t\n\t\t |
How do you assess the performance of each presentation? | \n\t\t\t\n\t\t |
(a) Presenter Paper 1 | \n\t\t\t2.42 | \n\t\t
(b) Presenter Paper 2 | \n\t\t\t2.10 | \n\t\t
(c) Presenter Paper 3 | \n\t\t\t2.27 | \n\t\t
(d) Presenter Paper 4 | \n\t\t\t2.19 | \n\t\t
(e) Presenter Paper 5 | \n\t\t\t2.49 | \n\t\t
(f) Presenter Paper 6 | \n\t\t\t2.48 | \n\t\t
(g) Presenter Paper 7 | \n\t\t\t2.44 | \n\t\t
(h) Presenter Paper 8 | \n\t\t\t2.31 | \n\t\t
(i) Presenter Paper 9 | \n\t\t\t2.80 | \n\t\t
(j) Presenter Paper 10 | \n\t\t\t2.53 | \n\t\t
Mean value for analysis of advanced course
Comparatively, both courses performed satisfactorily, because all recorded mean values were above 2.10. Thus, at least 70% of the participants are satisfied with the services provided. Only a few dimensions require improvement, especially in terms of speaker presentation skills. Two presenters from the advanced course received a slightly lower score (mean=2.10, mean=2.19) compared with the other trainers. Thus, the organizer plans to replace the speakers with new appointed individuals who have more credibility. Good assessments from the participants are rather unexpected and can be attributed to with the module prepared by the organizers. Notably, the developed modules are highly related to the indispensable aspects of housing development, such as location, marketing, financial management, and product enhancement. Interestingly, Jaafar et al. [11] reported similar dimensions of findings for Malaysian homebuilders in terms of considering the preceding elements to succeed in this area. Given these facts, Banomyong and Supatne [38] emphasize the magnitude of networking (shall be elicited from short courses/trainings), and highlight that residential developers should jointly possess know-how and know-who to remain competitive.
Short courses are undoubtedly suitable for businesses because entrepreneurs have difficulty in fully committing their time for a long period of study [39]. Indeed, the courses elicited positive comments from participants. Based on the open-ended question enclosed in the feedback form, a number of positive suggestions were made such as, ‘
This book chapter provides different contributions to the research aspects, because these assessments are based on the training programme offered to industry players, and the contents are very much related to their business and project operation. The course on entrepreneurship training is the first course of its type to be offered in the housing development industry in Malaysia. With an interest in increasing the number of entrepreneur participants in the industry, the course must be of relevance to increase the knowledge of new entrants and existing industry players. Previously, training has been associated with specific traits known as ‘competencies’ [40], which consist of traits, skills, knowledge and attitudes [41). The improvement of these four characteristics will improve the individual performance of a job. These courses have covered all of the four competency aspects, and the survey indicates high satisfaction from the participants.
Although some scholars neglect the importance of human resource management, recent studies have proposed different views on training courses (c.f., 16,31–32,37,42–43), with the assumption that training will generate better products and an enhanced business environment. Training and career development are vital to any firm or organization that aims at progressing. Aside from employees having to attend training courses, owners/managers should also consider expanding the knowledge base through short-term courses. Owners/managers have insufficient time to attend training courses [40]. However, given proper time management and the worthwhile content of such courses, owners/managers are willing and eager to participate. Moreover, training programmes for nascent entrepreneurs can have important positive effects on economic development. In Malaysia, which has a housing development industry that is becoming conspicuously arduous, the presence of two-tier relative courses is welcome because the success of housing entrepreneurs can be nurtured without merely relying on personal attributes [7].
The initiative taken by the School of Housing, Building, and Planning of Universiti Sains Malaysia with strategic partners from the housing industry to set up modules on developing and empowering new housing developers in Malaysia shall be extolled and encouraged. Indeed, the dearth of entrepreneurship courses in the housing sector in Malaysia has resulted in a high demand for entrepreneurship education. The REHDA Institute only offers specific courses to existing players in the industry. Such a need is apparent in the number of attendees of both courses, with each course attracting more than 100 participants from various parts of Malaysia. The courses have not only attracted newcomers to the industry, but also existing players who are keen on gaining additional knowledge on project and business management. The housing industry has been acknowledged to have links to more than 100 upstream and downstream supply chains, and these training courses can serve as a good platform for them to meet and introduce themselves. Therefore, the programmes presented in this study can fill the research gap to nurture and nourish new industry players in the housing field. On a related note, the designed activities ensure the sustainability of entrepreneurial activities and supply alternative means for entrepreneurial cognition, intention, and readiness in a profound manner.
The annual increases in the population and urbanization of Malaysia have resulted in factors that highlight the need for increased shelter—particularly in urban areas—thus increasing the demand on developers to provide additional houses and encouraging new players to enter the industry. With proper training and guidance, these new players will survive and will be able to compete with a larger group of industry actors. Housing developers should basically be furnished with knowledge and information regarding current market preferences. Mano et al. [37] believe that training courses provide a concrete stage for entrepreneurs to be proactive in obtaining customers. This step will inadvertently drive the sales margin toward a superior performance [43] because of changes in business practices [32]. An in-depth understanding of targeted consumer behaviour and attitude is critical for success, and for creating signature developments of outstanding quality and value. In addition, the existing Malaysian housing entrepreneurs need to have an acute understanding of entrepreneurial orientations in order to succeed in their ventures. Entrepreneurial orientations include confidence, courage, strong willpower, risk-taking, creativity, and innovativeness, all of which can be embedded within cognitive development through short courses, training and mentoring programmes, or even academic seminars and conferences leading to knowledge empowerment.
Henceforth, this trend should be emulated by other academic institutions around the globe in partnership with industry players. With this effort, the gap between theoretical value and pragmatic approach can be further minimized or even eliminated. Based on the perspectives of various parties involved in the programme (either participants or trainers), such courses are regarded as significant to the industry. Moreover, collaboration with local leaders with vast experience in this sector, as well as with the ministries, state government authorities, and other fellow players in the industry, is favourable for providing the required knowledge and information to prospective entrepreneurs. Meanwhile, a strong connection with successful mega players should be moulded for monitoring and mentoring purposes. From what has been accomplished, the mentoring programme has received positive feedback from industry players and has provided a new platform for educators, industry players, and relevant stakeholders to transfer their knowledge and share their valuable experiences with nascent developers. These challenging endeavours have given the university a good reputation and positive image. The training course is continuously being developed for future benefits to the industry.
From the researcher’s viewpoint, the publications on industry training provided by the university and their industry partners are quite limited. This kind of strategic partnership will facilitate a win-win situation on both sides. Having a certificate from the university provides extra value to the courses, while private partners can support the module development. An overly academic approach would not be appropriate to practitioners. Changes in the modules according to new industry updates, rules, and regulations, would require input from private partners. Besides this, action research could be performed on these industry players to enhance the knowledge transfer between these two parties.
The Kingdom of Lesotho covers a land area of 30,355 sq. km and is situated within the Southern African plateau at an elevation of between 1500 m and 3482 m above sea level. It has four agro-ecological zones (AEZ) based on climate and elevation (Table 1). All the AEZ’s are replete with wetlands. Wetlands locally called
Agro-ecological zones | Area (km2) | Altitude (m) above sea level | Topography | Mean annual rainfall (mm) | Mean annual temperature (°C) |
---|---|---|---|---|---|
Lowland | 5200 | <1800 | Flat to gentle | 600–900 | −11 to 38 |
Senqu river valley | 2753 | 1000–2000 | Steep sloping | 450–600 | −5 to 36 |
Foot-hills | 4588 | 1800–2000 | Steep rolling | 900–1000 | −8 to 30 |
Mountains | 18,047 | 2000–3484 | Very steep bare rock and gentle rolling valleys | 1000–1300 | −8 to 30 |
Agro-ecological characteristics of Lesotho.
In Lesotho, over the years, more emphasis of agriculture (cropping and grazing) has been placed on upland soils, but due to increasing degradation of uplands coupled with lack of vegetation for grazing, attention is now shifting to wetland soils as it now constitutes an important component of rural livelihoods for the
Wetlands are critical to maintaining and improving the quality of lives in sub-Saharan Africa (SSA) by improving livelihoods of rural populations and reducing poverty especially in the summer seasons and in times of droughts [3]. In Lesotho, wetlands are also known to support grazing, forestry and cropping activities, hence can be said to be ecologically, economically and socially important [3]. According to Grenfell et al. [4], wetlands in the Southern African region was classified into seven main groups: marine, estuarine/lagoon, endorheic, riverine, lacustrine, palustrine and man-made wetlands. However, the wetlands investigated were of lacustrine and riverine systems. Lacustrine wetlands include lakes, lagoons, and dams; riverine wetlands include rivers, streams and channels. Palustrine, lacustrine and riverine wetland systems are found in Lesotho with the palustrine system being the most dominant. The palustrine system in Lesotho comprises of mires (bogs and ferns) in the highlands region, while, lacustrine system comprises of artificial impoundments for water supply and riverine system found along streams are generally small and localized [5, 6].
Agricultural activities (such as grazing and cropping) are thought to be the major contributors to non-point wetland pollution in the highlands and foothills respectively while industrial effluents and domestic waste disposal are thought to contribute significantly to wetlands’ pollution in urbanized and industrialized Lowlands AEZ. In Lesotho, wetlands are important for livestock grazing and the problems related to wetlands management, in particular, soil erosion, are related to over-grazing [3]. Land degradation in upland areas is thought to also be a major contributor to the conversion of wetlands into crop lands as the upland areas are degraded beyond use [7]. There are sparse data on the chemical characteristics of wetlands in
The effects of wetland restoration are commonly evaluated by analyzing changes in the hydrology, biological components and the physical and chemical properties of soil [9, 10, 17]. Also of importance is the changes in the vegetation composition and structure, in terms of percent cover, biomass, plant diversity associated with re-establishment of species [18, 19, 20] as well as the changes in the soil microbial communities, and functioning [21, 22] and isotopes.
Stable nitrogen isotope measurements may be used to examine the nitrogen cycle within landscapes [23, 24]. Biological discrimination between the two stable isotopes 14N and 15N often leads to natural isotopic fractionation [23, 24]. It is well established that denitrification results in isotopic changes in the nitrate (NO3−) pool, as bacteria preferentially reduce 14NO3− over 15NO3−, leaving an enriched pool of 15NO3− [23, 24]. The isotopic signature has been used to identify regions of significant denitrification in groundwater aquifers, streams and riparian buffer zones [23, 24]. Partitioning carbon contributions from different species to the soil carbon is challenging. Among the numerous methods, the carbon isotopic technique based on the difference in stable carbon isotope composition (δ13C) ratios between older soil carbon and inputs of new carbon appears promising [25, 26]. This technique studies soil carbon dynamics over a few years or several 100 years, and the results can help to understand the consequences of human induced land use change [27, 28].
This study focused on changes in soil characteristics, especially selected soil physico-chemical characteristics and hydrochemistry of the run-off water. The hypothesis was that conservation/restoration of wetlands coupled with the introduction of freshwater/rainwater would alter the soil characteristics resulting in increased accumulation of SOC, total N (TN), base cations (Ca, Mg, Na & K), C-pool as well as increased clay and silt contents, increase in silt:clay and soil organic matter:siltclay ratios (SSCR). The aim of the management effort was to reduce the wetland degradation, which is the primary threat to the wetlands in Lesotho, and provide conducive habitats for wetlands vegetation and faunal species. The specific objectives of the current study were to evaluate whether there were differences in the soil (i) physicochemical properties and (ii) hydrochemistry of a wetlands under conservation and the one that is not conserved to assess the effect of restoration after 5 years; the results are intended to support the ongoing restoration efforts in selected wetlands in Lesotho and (iii) to estimate the δC and δN in the plant samples of the conserved and non-conserved wetlands.
The climate of Lesotho is largely determined by the country’s location in the centre of the Southern African Plateau. It is sub-humid to temperate cool with warm and rainy summers and cool to cold dry winters. The mean minimum temperature during winter is around 0°C which is common in June (the coldest month), with the lowlands recording −1 to −3°C and the highlands recording −6 to −8.5°C. The mean annual temperatures recorded are 15.2°C and 7°C for the lowlands and the highlands respectively. In January, which produces the highest mean maximum temperatures throughout the country, temperatures range from 20°C in the highlands, and 32°C in the lowlands. The mean annual precipitation ranges from 500 mm in the Senqu River Valley to 1200 mm in the North and East of the country. Eighty-five percent of the rainfall is received between the months of October and April. Frost and snow are common in winter. The mountains of Lesotho are regularly covered by snow during winter months.
Land use is often used as a surrogate for disturbance and has been correlated with biological attributes in wetlands [11, 29]. In Lesotho, agricultural activity (i.e. grazing and livestock watering) coupled with climatic change is the predominant disturbance to seasonal wetlands in all agro-ecological zones. Wetlands can be characterized into low or high impact based on local land use characteristics [5, 30], with low impact wetlands having little or no agricultural activity within 150 m of the wetland boundary and high impact wetlands having agricultural activity within 10 m of the wetland boundary.
The study sites were located within Lesotho at an elevation ranging between 1800 m and >2000 m above sea level (asl) (Table 1 and Figures 1 and 2) in two agro-ecological zones (AEZ): the Foot-Hills and the Mountains. Shrubs co-dominate at higher elevations in the Mountains AEZ, wile in the Foot-Hills, the dominant vegetation is grasses (i.e.
view of
View of
Wetlands were selected for this research were characterized as either low, medium or highly impacted based on (i) local land-use characteristics [31]; and (ii) the intensity of anthropogenic pressures such as mining, smelting, and discharge of an industrial pollutant into the wetlands. Low impacted wetlands has little (i.e. <5%) or no agricultural activity within 150 m of the wetland boundary [5, 32]. The wetlands classified as highly impacted had agricultural activities; within 10 m of wetland boundary (i.e. ≅33% of the wetland area is impacted). The medium impacted wetlands had agricultural activities between 5 and 32% of the wetland boundary. Using the probability sampling approach [33], coupled with accessibility and ease of continuous monitoring, two wetland types—lacustrine and riverine systems were identified in two different AEZs of Lesotho (Table 1).
A Garmin GPS (Geko 301) was used to determine the elevations of the study sites and to track the position of the points at which samples were collected. At KHL catchments, three transects, of approximately 1000 m each, were chosen and mini-pits (0.5 m) were dug at intervals of 70 m. At HM catchments, two transects were chosen on one side of the stream and one transect on the other side and the mini-pits (0.5 m) were dug at the upper, the middle and the lower slope of each transect and at 150 m interval along the stream.
At both sites, soil samples were collected from every exposed horizon in the mini-pits. The soil samples were put into polythene bags and taken to the laboratory where they were air-dried at room temperature for 72 h and then crushed to pass through a 2 mm sieve. The soil samples were then analyzed for total nitrogen [35]; available Phosphorus [36]; Base cations (Mg, Ca, Na and K) extracted using the Ammonium acetate at pH 7 and determined using the Atomic Absorption Spectrometer (Spectro AA 300). The soils were also analyzed for micronutrients (i.e. Cu, Fe, Zn, and Mn).
At both sites, water samples were collected from December 2010 to March 2011 across from installed plastic water bottles (DWB) which have been pre-rinsed with de-ionized water at a depth of 0.50 m in duplicates. Five DWB were installed in each of the three transects at KHL catchments. However, at HM catchments, the DWB were installed at the upper, middle and toe-slopes and the land use types (LUTs). The mainland use type (LUT) at HM catchment was mainly for livestock grazing, watering, and cropping. Run-off water samples were collected in duplicates using into a 20 mL plastic bottle and acidified with 0.1 N HCl. Following sample collections, samples were preserved in the icebox to restrain microbial activities before getting to the laboratory. All the parameters mentioned above were determined, based on standard methods [37] using the Atomic Absorption Spectrometer (Spectro AA 300). Four indicators—base cations (K, Ca, Mg & Na), total P (TP) and Total N (TN) were used to describe the water quality of samples. The base cations, TN and TP were analyzed in the laboratory.
Nitrogen isotope (15N) was applied in the form of urea to wetlands at both sites located in the KHL and HM at the upper-slope (US), mid-slope (MS) and toe-slope (TS). At both sites, vegetation samples were collected in triplicates from the three sections of the toposequence. Dominant vegetation at KHL was
where R-sample and R-standard are the ratios between 15N and 14N of the sample and the standard, respectively.
Samples were collected at each site by clipping four healthy, intact, mature plants at the soil surface avoiding senescent plant leaves. Live samples were wiped cleaned to remove surface debris and then chopped into approximately 10-cm sections for drying. The vegetation samples were put into labeled paper bags and dried at a temperature of 55°C and subsequently sent by courier service to the International Atomic Energy Agency (IAEA), laboratory, Seibersdorf, Vienna, where they were then crushed, weighed, and analyzed for N15 and 13δC isotope signatures.
Data collected (soils, water) were subjected to summary statistics (N, max, min, range, standard deviation, standard error, kurtosis, and skewness) using the means procedure of SAS (PROC Means) [38]. Data (soils, water, and vegetation N15) were also subjected to one-way analysis of variance (ANOVA) using the general linear model procedure (PROC GLM) [38] and means were separated using Duncan multiple range test at 5% level of significance. Results of the selected soil properties were compared across sites using analysis of variance procedure of SAS (PROC ANOVA) [38] and means were separated using Duncan multiple range test at 5% level of significance.
Soils of KHL wetland have a texture that is rich in sand and ranged between 49.28% and 87.28% with a mean of 68.76 ± 1.07%; silt content ranged between 4 and 40% with a mean of 23.49 ± 0.97% and clay between 0.72 and 21% with a mean of 7.71 ± 0.51%. The soil organic carbon (SOC) content ranged from 1.30–5.76% with a mean of 3.92 ± 0.13% and the soils have low bulk densities. These soils have an acidic pHw of 3.85–5.90 and mean of 5.04 ± 0.05 and pH in KCl of between 3.24 and 5.67 with a mean of 4.46 ± 0.04. Generally, the cation exchange capacity (CEC) ranged between 0.02 and 8.33 cmol/kg with a mean of 3.32 ± 0.30 cmol/kg and base cations (K, Ca, Mg and Na) generally ranged between 0.01 and 38.36 mg/L. The total nitrogen (TN) and available P (AvP) ranged between 0.01 and 1.70 mgN/L with a mean of 0.01 ± 0.05 mgN/L and 0.06–11.55 mgP/L and a mean of 2.79 ± 0.21 mgN/L. The SOC-pool within KHL wetlands (i.e. has a mean of 11.62 ± 0.72 kg cm2). The silt:clay ratio ranged between 0.2 and 112.98 and has a mean of 4.73 ± 1.63. According to Asamoa (1973) and Zhang et al. [39], soils of old parent materials (PM) have ratios of <0.25, while those with ratios of >0.25 are of indicative of low degree of weathering. This suggests that despite the restoration efforts the PM of the restored wetlands are at different degree of weathering. The coefficient of variation (CV) varies widely and using the ranged given by Wilding [40], only sand, pHw and pHKCl had CV of <15%, while all other properties had CV > 30% (Table 2).
Variable | N | Maximum | Minimum | Mean | Coefficient of variation | Std dev | Std error | Kurtosis |
---|---|---|---|---|---|---|---|---|
Khalong-la-Lithunya (KHL) | ||||||||
Sand | 88 | 87.28 | 42.28 | 68.76 | 14.65 | 10.07 | 1.07 | −0.83 |
Clay | 88 | 23.00 | 0.72 | 7.71 | 60.39 | 4.66 | 0.50 | 1.17 |
Silt | 88 | 44.00 | 4.00 | 23.49 | 38.56 | 9.06 | 0.97 | −0.76 |
BD | 88 | 1.67 | 1.00 | 1.39 | 19.61 | 0.27 | 0.03 | −1.43 |
pHw | 88 | 5.90 | 4.00 | 5.04 | 8.50 | 0.43 | 0.05 | −0.58 |
pHKCl | 88 | 5.62 | 3.24 | 4.46 | 8.62 | 0.35 | 0.04 | 1.23 |
AvP | 88 | 11.55 | 0.01 | 2.79 | 71.54 | 2.00 | 0.21 | 2.82 |
Tot. N | 88 | 0.01 | 1.70 | 0.01 | 168.65 | 0.42 | 0.05 | −0.78 |
Silt:clay | 88 | 41.67 | 0.02 | 5.84 | 134.27 | 7.84 | 0.84 | 10.62 |
Org C | 88 | 5.76 | 1.30 | 3.92 | 31.43 | 1.23 | 0.13 | −0.63 |
SOM | 88 | 9.96 | 2.25 | 6.77 | 31.43 | 2.13 | 0.23 | −0.63 |
C-pool | 88 | 39.90 | 1.34 | 11.62 | 58.14 | 6.76 | 0.72 | 2.68 |
Ca | 88 | 101.56 | 3.54 | 14.61 | 70.49 | 10.30 | 1.10 | 59.61 |
K | 88 | 9.63 | 0.01 | 0.28 | 500.93 | 1.38 | 0.15 | 41.03 |
Na | 88 | 10.64 | 0.02 | 3.90 | 80.84 | 3.15 | 0.34 | −1.23 |
CEC | 88 | 8.83 | 0.02 | 3.32 | 86.05 | 2.86 | 0.30 | −1.34 |
SSCR | 88 | 112.98 | 0.2 | 4.73 | 322.44 | 15.26 | 1.63 | 41.66 |
Ha-Matela (HM) | ||||||||
Sand | 80 | 65.10 | 9.00 | 37.22 | 32.20 | 11.98 | 1.34 | −0.07 |
Clay | 80 | 62.10 | 10.70 | 10.50 | 40.12 | 12.24 | 1.37 | 0.14 |
Silt | 80 | 73.00 | 0.00 | 32.86 | 44.92 | 14.76 | 1.65 | 0.55 |
BD | 80 | 1.49 | 1.00 | 1.34 | 5.75 | 0.08 | 0.01 | 3.68 |
pHw | 80 | 6.15 | 4.23 | 5.25 | 7.80 | 0.41 | 0.05 | 0.12 |
pHKCl | 80 | 5.34 | 3.64 | 4.50 | 9.03 | 0.41 | 0.05 | −0.39 |
AvP | 80 | 15.62 | 0.56 | 3.34 | 73.51 | 2.45 | 0.27 | 7.14 |
Tot N | 80 | 0.01 | 0.001 | 0.01 | 86.75 | 0.00 | 0.00 | 19.53 |
Silt:clay | 80 | 5.99 | 0.00 | 0.79 | 147.25 | 1.17 | 0.13 | 6.87 |
Org C | 80 | 3.21 | 0.23 | 2.14 | 39.77 | 0.85 | 0.01 | −0.43 |
SOM | 80 | 5.56 | 0.40 | 3.69 | 39.81 | 1.47 | 0.16 | −0.44 |
C-pool | 80 | 38.67 | 1.44 | 11.14 | 62.34 | 6.95 | 0.78 | 2.37 |
Ca | 80 | 3.30 | 0.00 | 0.78 | 81.21 | 0.63 | 0.07 | 1.66 |
K | 80 | 0.91 | 0.10 | 0.41 | 42.75 | 0.18 | 0.02 | 0.66 |
Na | 80 | 1.99 | 0.03 | 0.32 | 163.00 | 0.53 | 0.06 | 2.97 |
CEC | 80 | 0.18 | 0.17 | 0.17 | 2.72 | 0.00 | 0.00 | −1.46 |
SSCR | 80 | 260.00 | 0.20 | 31.67 | 121.42 | 38.47 | 4.30 | 14.58 |
Summary statistics of the soil properties at
N = number of observations, Std dev = standard deviation, Std err = standard error, CV = coefficient of variation, OC = organic carbon (%), SOM = soil organic matter(%), BD = bulk density (g/cm3), pHW = pH in water, pHKCl = pH in potassium chloride, ∆pH = change in pH, Tot N = total nitrogen(%), AvP = available phosphorus (mg/L), C-pool = carbon pool (kg C/cm2) CEC = cation exchange capacity (cmol/kg), Na = sodium (cmol/kg), Ca = calcium (cmol/kg), Mg = magnesium (cmol/kg), K = potassium (cmol/kg), SSCR = sand to silt + clay ratio.
Mean soil physicochemical properties for KHL wetland across pits and transects are presented in Table 3. An observation of the mean separation within transects at the KHL wetlands revealed that across transects one and two all soil properties examined were significantly different except pH-water, pH-KCl and total N as well as pHKCl and TN that were not significantly different. An examination of the soil properties across transect three in KHL showed that there all soil properties were not significantly different except pH-water. Mean separation of soil micronutrients in KHL wetlands is presented in Table 3. The results showed that the Cu, Fe, Zn and Mn ranged between 0.06–1.49 mg/L, 0.12–2.89 mg/L, 0.04 mg/L and 0.35 mg/L and 4.62–22.15 mg/L. All were statistically significantly different. Ewing et al., [41] reported that wetlands in Juniper Bay were crop production had occurred had in their surface horizons significantly greater amounts of extractable P, Ca, Mg, Mn, Zn, and Cu, along with higher base saturation and pH than soils in the reference bays. Similarly, Zedler and Kercher [16] and Kotze et al. [11] reported that the nutrient-rich soils resulting from agricultural production make wetland restoration more difficult. Thus, the reasons for the slow rate of restoration of the KHL wetlands may be attributed to higher contents of base cations in the surface and sub-soils compared to the HM wetlands where no restoration efforts are yet to be embarked upon. Bedford et al., [42], Reddy et al., [43] and Harvey et al. [9] also reported that higher nutrient levels affect restoration success by decreasing plant diversity, and potentially increasing the solubility and export of P from wetlands to downstream waters once anaerobic soil conditions have been restored.
Pits | pHw | pHKCl | mg/L | Meq/100 g soil | % | kg/m2 | Silt:clay | ||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
AvP | TN | Mg | Na | Ca | K | CEC | SOM | OC | Cpool | ||||
Transect 1 | |||||||||||||
1 | 5.5a | 4.5a | 0.96b | 0.89a | 16.06b | 1.1b | 20.7a | 0.05c | 4.8a | 4.0b | 2.32b | 7.2ab | 1.78b |
2 | 5.4a | 4.9a | 1.84ab | 0.70a | 18.7ab | 5.2a | 14.3bc | 0.05c | 5.6a | 5.0ab | 2.87ab | 10.6ab | 2.20b |
3 | 5.2a | 4.5a | 3.04ab | 0.90a | 19.8ab | 3.0ab | 21.2a | 9.2a | 4.0ab | 6.0ab | 3.48ab | 13.9a | 3.07ab |
4 | 5.4a | 4.8a | 2.10ab | 0.77a | 22.5ab | 6.9a | 15.8abc | 0.5b | 3.1ab | 4.1b | 2.39b | 8.1ab | 2.53b |
5 | 5.3a | 4.6a | 2.67ab | 0.38a | 18.0ab | 6.4a | 10.9c | 0.08c | 2.1bc | 7.4a | 4.27a | 13.7a | 2.77ab |
6 | 5.2a | 4.5a | 3.20ab | 0.53a | 19.21ab | 3.9ab | 15.2abc | 0.05c | 0.06c | 3.8b | 2.22b | 5.6b | 3.29ab |
7 | 5.4a | 4.8a | 1.04b | 0.48a | 13.9b | 6.9a | 15.3abc | 0.05c | 0.06c | 5.1ab | 2.96ab | 7.1ab | 4.46ab |
8 | 5.2a | 4.5a | 1.46ab | 0.38a | 29.24a | 0.4b | 18.4ab | 0.06c | 0.05c | 5.4ab | 3.14ab | 10.0ab | 2.88ab |
9 | 5.3a | 4.6a | 3.81a | 1.05a | 12.75b | 0.1b | 13.7bc | 0.05c | 0.03c | 3.6b | 2.10b | 4.0b | 6.75a |
Transect 2 | |||||||||||||
1 | 4.7bc | 4.4b | 3.25a | 0.23a | 17.0a | 2.2de | 7.1b | 0.05bcd | 5.9abc | 9.0a | 5.23a | 17.8a | 16.98a |
2 | 5.2ab | 4.5b | 3.32a | 0.92a | 14.7a | 6.1ab | 12.7b | 0.04bcd | 4.1bc | 7.9abc | 4.6abc | 9.4a | 5.17a |
3 | 4.8bc | 4.5b | 2.12a | 0.61a | 25.5a | 5.7abc | 9.9b | 0.03d | 6.7ab | 8.7ab | 5.0ab | 17.4a | 13.60a |
4 | 4.7bc | 4.2b | 2.88a | 0.62a | 21.4a | 0.1e | 12.3b | 0.04bcd | 5.8abc | 8.1abc | 4.7abc | 13.0a | 10.19a |
5 | 4.6c | 4.2b | 2.03a | 0.62a | 17.4a | 0.1e | 10.7b | 0.04 cd | 6.8ab | 7.5abc | 4.3abc | 14.2a | 8.11a |
6 | 4.7bc | 4.3b | 2.89a | 1.34a | 24.8a | 4.0bcd | 13.0b | 0.05bcd | 3.2c | 7.4abc | 4.3abc | 23.9a | 1.49a |
7 | 5.0abc | 4.4b | 2.92a | 0.63a | 26.1a | 5.0abc | 11.2b | 0.06abc | 4.7abc | 8.4abc | 4.8abc | 12.5a | 7.56a |
8 | 4.8bc | 4.2b | 2.83a | 0.67a | 25.9a | 7.1a | 11.7b | 0.03d | 4.1bc | 8.3abc | 4.8abc | 13.4a | 2.63a |
9 | 4.7bc | 4.3b | 1.90a | 0.37a | 28.6a | 7.1a | 14.2b | 0.06ab | 4.2bc | 6.1c | 3.5c | 12.3a | 4.78a |
10 | 5.4a | 5.1a | 3.88a | 0.44a | 25.6a | 0.3e | 14.1b | 0.05abcd | 7.8a | 8.6ab | 5.0ab | 22.9a | 1.98a |
11 | 5.4a | 5.1a | 3.47a | 1.06a | 19.0a | 3.4 cd | 8.7b | 0.07a | 7.3ab | 8.9ab | 5.1ab | 13.4a | 21.98a |
12 | 4.7bc | 4.3b | 4.88a | 0.71a | 17.aa | 0.1e | 56.5a | 0.05abcd | 3.0c | 6.6bc | 3.8bc | 12.5a | 4.50a |
Transect 3 | |||||||||||||
1 | 5.2a | 4.3a | 3.74a | 0.61a | 16.4a | 5.7a | 16.2a | 0.03a | 0.05a | 7.6a | 4.42a | 12.4a | 5.41a |
2 | 4.6b | 4.0a | 3.77a | 0.93a | 23.6a | 2.1a | 14.4a | 0.04a | 0.05a | 7.5a | 4.33a | 8.8a | 3.55a |
Mean separation for
Means with same letter in one column are not significantly different at 5% according to Duncan multiple range test (DMRT). pHw = pH in water, pHKCl = pH in potassium chlorite, AvP = available phosphorus (mg/L), TN = total nitrogen (%), Mg = magnesium (cmol/kg), Na = sodium (cmol/kg), Ca = calcium (cmol/kg), K = potassium (cmol/kg), CEC = cation exchange capacity, SOM = soil organic matter, OC = organic carbon, Cpool = carbon pool.
The most dominant soil separates in the texture of Ha-Matela wetland soils is silt and it ranged between 14 and 73% with a mean of 32.86 ± 1.65%; sand content ranges between 9.0 and 65.10% with a mean of 37.22 ± 1.34% and clay ranged between 10.7 and 62.10% with a mean of 10.50 ± 1.37% (Table 2). The SOC content ranged from 0.23 to 3.21% and has a mean of 2.14 ± 0.01% and the pH which is acidic ranged between 4.23 and 6.15 pH-water and between 3.54 and 5.34 pH-KCl. The CEC and the exchangeable cations (K, Ca, Mg and Na) were very low when compared with the restored wetlands (Table 2). This suggests that restoration of wetlands favored built-up of base cations in KHL wetlands as compared to the HM wetlands which are still not being restored. These ions, except for Na, are nutrients for forest ecosystems and vegetation and are thus of importance for the sustainability of the ecosystem [44, 45]. The results of the CVs showed that only a few properties (i.e. pH-water, pH-KCl, BD and CEC had CVs of <15% according to the classification of Wilding [40]. Other soil properties had CVs of >30% suggesting that these are highly variable (Table 2). The results of the silt:clay ratios also showed that the PM is mixed (0.00–5.99) and are at different age of weathering (Asamoa 1973; [39]). The SOC-pool in the HM wetlands were not significantly different from those at KHL wetlands and it ranged between 1.44 and 38.67 kg cm2 with a mean of 11.14 ± 0.78 kg cm2.
Mean soil physicochemical properties, for
Mini-pits | pHw | pHKCl | mg/L | cmolc/kg | % | kg/m2 | Silt:clay | ||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
AvP | TN | Mg | Na | Ca | K | CEC | SOM | OC | Cpool | ||||
Upper slope | |||||||||||||
1 | 5.20a | 4.24b | 8.3a | 0.0010a | 0.176a | 0.09a | 0.23a | 0.5a | 0.18a | 4.35a | 2.52a | 12.24a | 0.45a |
2 | 5.90a | 4.20b | 2.1b | 0.0013a | 0.178a | 0.10a | 0.60a | 0.5a | 0.18a | 4.85a | 2.81a | 15.26a | 0.44a |
3 | 5.78a | 4.94a | 1.9b | 0.0015a | 0.178a | 0.09a | 1.05a | 0.5a | 0.18a | 4.43a | 2.56a | 12.97a | 0.43a |
Middle slope | |||||||||||||
1 | 4.88a | 4.13b | 4.0a | 0.0014a | 0.177a | 0.09a | 0.20b | 0.4a | 0.18a | 3.62a | 2.10a | 11.02a | 1.40a |
2 | 5.08a | 4.36ab | 3.3a | 0.0013a | 0.173b | 0.10.0a | 0.18b | 0.4a | 0.17b | 3.62a | 2.10a | 12.17a | 0.49a |
3 | 5.10a | 4.69a | 2.3a | 0.0015a | 0.174ab | 0.09a | 0.48a | 0.3a | 0.17b | 3.97a | 2.30a | 9.33a | 1.38a |
Toe slope | |||||||||||||
1 | 5.3a | 4.59a | 2.55a | 0.0018a | 0.174a | 0.11a | 0.35ab | 0.55a | 0.17a | 3.65a | 2.11a | 4.64a | 0.23a |
2 | 5.2a | 4.58a | 2.52a | 0.0030a | 0.174a | 0.10a | 0.23b | 0.49a | 0.17a | 2.98a | 1.73a | 6.85a | 0.76a |
3 | 4.8b | 3.95b | 3.43a | 0.0020a | 0.174a | 0.10a | 0.55a | 0.36b | 0.17a | 3.42a | 1.97a | 8.58a | 0.57a |
Along stream | |||||||||||||
1 | 5.69a | 4.72ab | 3.30ab | 0.0013ab | 0.173a | 1.15a | 1.28a | 0.4b | 0.17a | 2.94ab | 1.70ab | 6.67c | 0.43a |
2 | 5.36ab | 4.88a | 2.97ab | 0.0013bc | 0.174a | 0.71ab | 1.45a | 0.5b | 0.17a | 4.32a | 2.50a | 17.25ab | 0.37a |
3 | 4.75c | 4.23b | 2.16b | 0.0035ab | 0.172a | 0.36b | 0.62a | 04b | 0.18a | 4.33a | 2.50a | 15.77abc | 0.70a |
4 | 5.31ab | 4.55ab | 2.56b | 0.0012c | 0.170a | 0.15b | 0.80a | 0.4b | 0.17a | 3.96ab | 2.29ab | 13.05abc | 0.45a |
5 | 5.06bc | 4.56ab | 3.78ab | 0.0018abc | 0.173a | 0.41ab | 1.12a | 0.3b | 0.17a | 3.53ab | 2.04ab | 8.36bc | 0.41a |
6 | 5.46ab | 4.88a | 3.02ab | 0.0018abc | 0.175a | 0.17b | 1.38a | 0.4b | 0.17a | 4.37a | 2.53a | 19.23a | 1.23a |
7 | 5.44ab | 4.34ab | 5.58a | 0.0017abc | 0.173a | 0.73ab | 0.88a | 0.3b | 0.17a | 2.05b | 1.18b | 7.69bc | 1.40a |
8 | 5.45ab | 4.44ab | 2.77ab | 0.0037a | 0.170a | 0.17b | 1.05a | 0.7a | 0.17a | 2.98ab | 1.72ab | 7.45c | 0.85a |
Mean separation for
Means with same letter in one column are not significantly different at 5% according to Duncan multiple range test (DMRT). pHw = pH in water, pHKCl = pH in potassium chlorite, AvP = available phosphorus, TN = total nitrogen, Mg = magnesium, Na = sodium, Ca = calcium, K = potassium, CEC = cation exchange capacity, SOM = soil organic matter, OC = organic carbon, Cpool = carbon pool.
Mini-pits | mg/L | |||
---|---|---|---|---|
Cu | Fe | Zn | Mn | |
Transect 1 | ||||
1 | 0.54bc | 0.44b | 0.12abc | 5.87c |
2 | 0.27cd | 0.20b | 0.08bc | 6.20c |
3 | 0.42bcd | 2.89a | 0.22a | 10.30b |
4 | 0.74ab | 0.12b | 0.07c | 4.85c |
5 | 0.31cd | 0.20b | 0.10bc | 14.02a |
6 | 0.41bcd | 0.33b | 0.08bc | 4.62c |
7 | 1.07a | 0.29b | 0.19ab | 6.96bc |
8 | 0.13d | 0.19b | 0.11abc | 7.05bc |
9 | 0.51bc | 0.45b | 0.10bc | 4.65c |
Transect 2 | ||||
1 | 0.09b | 0.44ab | 0.05c | 8.02b |
2 | 0.09b | 0.40ab | 0.25ab | 22.15a |
3 | 0.06b | 0.63ab | 0.09bc | 18.00ab |
4 | 0.12b | 0.20b | 0.24ab | 6.28b |
5 | 0.20b | 1.02a | 0.04c | 5.96b |
6 | 0.25b | 0.72ab | 0.35a | 8.14b |
7 | 0.11b | 0.54ab | 0.04c | 6.64b |
8 | 0.17b | 0.72ab | 0.10bc | 10.94ab |
9 | 0.51b | 0.51ab | 0.09bc | 4.77b |
10 | 3.44a | 0.76ab | 0.22bc | 16.81ab |
11 | 0.86b | 0.26b | 0.11bc | 10.76ab |
12 | 0.63b | 0.36ab | 0.14bc | 8.22b |
13 | 0.32b | 0.40ab | 0.14bc | 8.59b |
14 | 1.49b | 0.27b | 0.11bc | 12.14ab |
Upper slope | ||||
1 | 2.85a | 10.55a | 0.13a | 16.82b |
2 | 1.40a | 10.46a | 0.18a | 11.79b |
3 | 2.51a | 20.58a | 0.26a | 33.13a |
Middle slope | ||||
1 | 2.35a | 15.57a | 0.15b | 11.65a |
2 | 1.29b | 13.29a | 0.12b | 14.32a |
3 | 1.85ab | 12.82a | 0.41a | 16.04a |
Toes slope | ||||
1 | 3.19ab | 12.41b | 0.29b | 11.28a |
2 | 2.10b | 26.29a | 0.10b | 12.11a |
3 | 4.31a | 34.79a | 0.72a | 14.04a |
Mean separation for
Means with same letter in one column are not significantly different at 5% according to Duncan multiple range test (DMRT).
Comparing both sites in terms of selected soil physicochemical properties (Figure 3), results showed that after 5 years of restoration the significantly higher exchangeable Ca and Mg were observed in the KHL catchments compared to HM. Similarly, significantly higher clay, silts and soil organic matter contents were observed in the former catchments compared to the latter. Higher silt:clay ratio in the KHL suggests that the soil PM are basically of younger age compared to that of the HM. An observation of the SSCR showed that higher values (i.e. 31.68) were observed in the HM compared to the KHL suggesting that the soils of the HM will have better-rooting volumes for the plants grown on it compared to the KHL. This was in agreement with the findings of Napoli et al. [46] and Olaleye et al. [47].
Mean separation of selected properties from both restored and non-restored wetlands.
Mean nutrient concentrations in
Date | Pit | mg/L | |||||
---|---|---|---|---|---|---|---|
Ca | Mg | K | Na | Total P | Total N | ||
Dec’10 | 1 | 1.64a | 78.86a | 5.94b | 4.09a | 1.74a | 0.36a |
Feb’11 | 1 | 1.63a | 0.37b | 2.25b | 2.89a | 0.41b | 0.36a |
Apr’11 | 1 | 0.12c | 78.86a | 45.07a | 2.22a | 1.74a | 0.003b |
Dec’10 | 2 | 0.94b | 0.37b | 1.64b | 2.25a | 0.24b | 0.31a |
Feb’11 | 2 | 1.41a | 0.37b | 1.49b | 2.25a | 0.39b | 0.31a |
Apr’11 | 2 | 0.19c | 115.39a | 230.7a | 3.25a | 2.22a | 0.004b |
Dec’10 | 1 | 0.58a | 0.38b | 1.25b | 2.84a | 0.39b | 0.11a |
Feb’11 | 1 | 0.5a | 0.37b | 1.12b | 2.89a | 0.34b | 0.11a |
Apr’11 | 1 | 0.28a | 101.01a | 339.6a | 2.65a | 2.53a | 0.003a |
Dec’10 | 2 | 0.5a | 0.37b | 1.05b | 1.27a | 0.10b | 0.18a |
Feb’11 | 2 | 0.54a | 0.37b | 1.25b | 2.43a | 0.38b | 0.18a |
Apr’11 | 2 | 0.16a | 75.01a | 274.4a | 2.44a | 2.19a | 0.003a |
Dec’10 | 1 | 0.32b | 0.35b | 0.28a | 0.20c | 0.24a | 0.49a |
Feb’11 | 2 | 0.63a | 0.37b | 1.36a | 2.27b | 0.35a | 0.49a |
Apr’11 | 3 | 0.07b | 194.49a | 153.55a | 2.61a | 1.84a | 0.004a |
Nutrient concentrations in water for
Ca = calcium, Mg = magnesium, K=potassium, Na = sodium; means with the same letter in one column are not significant at 5% Duncan multiple range test (DMRT).
Date | mgL | |||||
---|---|---|---|---|---|---|
Ca | Mg | K | Na | Total P | Total N | |
Dec’10 | 0.002a | 0.001a | 0.012a | 0.015a | 1.70a | 0.002a |
Feb’11 | 0.002a | 0.002a | 0.007a | 0.009a | 1.19a | 0.002a |
Apr’11 | 0.002a | 0.006a | 2.052a | 0.003a | 0.38a | 0.682a |
Dec’10 | 0.002a | 0.001a | 0.008a | 0.012a | 1.84a | 0.002a |
Feb’11 | 0.002a | 0.004b | 0.010a | 0.003b | 7.23a | 0.002a |
Apr’11 | 0.001a | 0.002ab | 4.017a | 0.006a | 0.46a | 0.687a |
Dec’10 | 0.002a | 0.001a | 0.008a | 0.013a | 2.27a | 0.002a |
Feb’11 | 0.002a | 0.004b | 0.010a | 0.002b | 2.88a | 0.002a |
Apr’11 | 0.002a | 0.002b | 4.801a | 0.004a | 0.38a | 0.685a |
Mean selected water chemical properties for
Ca = calcium, Mg = magnesium, K=potassium, Na = sodium, means with the same letter in one column are not significant at 5% Duncan multiple range test (DMRT).
mg/L | ||
---|---|---|
Eutrophic status | Total P | Total N |
Oligotrophic water | 0.005–0.01 | 0.25–0.60 |
Moderately eutrophic | 0.01–0.03 | 0.50–1.10 |
Eutrophic | 0.03–0.10 | 1.10–2.00 |
Hypertrophic | >0.10 | >2.00 |
Variables | Surface water quality classification | ||||
---|---|---|---|---|---|
I | II | III | IV | V | |
pH | 6–9 | ||||
Total N (mg/L) | ≤0.20 | ≤0.50 | ≤1.0 | ≤1.50 | ≤2.0 |
The vegetation 15N and 13C isotopic signatures for KHL and HM wetlands are presented in Table 10. The result indicates that δ13C in KHL wetland was higher, indicated by more negative values, compared to that in HM wetland. This shows that the KHL wetland is less degraded compared to HM wetland. Furthermore, results showed that less N is lost in KHL wetlands compared to that at HM. These may be attributed to high overgrazing and over-cultivation observed at HM as opposed to KHL wetland which is now under conservation. A breakdown of the δ13C and δ15N within both sites across the toposequence (Table 10) showed that there is higher δ13C in the minimally degraded wetland (KHL) compared with that from HM. Furthermore, the results of the breakdown also showed that less δ15N is lost from KHL compared to the HM [23, 57, 58]. The variation in the δ13C across sites can be ascribed to differences in vegetation species. The increased δ15N in plants is often interpreted as an indicator of sewage or pollution [59, 60]. The HM wetland is still being used for human activities (i.e. livestock grazing and watering and cropping especially maize and sorghum). Therefore, higher δ15N in the vegetation samples (i.e. 2.00–6.18‰) may as a result of build-up of pollutants. It could be observed that higher δ15N (i.e. 6.18‰) was observed in the lower slopes/wetlands compared to other section of the toposequence.
Sites | Toposequence | 13C (‰) | 15N (‰) |
---|---|---|---|
Khalong-la-Lithunya | Upper slope | −28.84a* | −2.52a |
Middle slope | −28.90a | −2.97a | |
Lower slope | −28.13a | −2.93a | |
Ha-Matela | Upper slope | −12.72b | 2.00ab |
Middle slope | −11.77b | 2.61a | |
Lower slope | −13.85b | 6.18b |
Isotopic signatures of δ13C and δ15N in two wetlands sites.
Means with same letter in same column within sites are not significantly different @ 5% (DMRT).
Results of the study showed that higher base cations were observed in the soils and water samples of the KHL wetlands compared to that of the HM wetlands. Also, the results of the isotopic signatures of were significantly higher (i.e. δ13C and δ15N) in HM wetlands (shown by less negative and high positive values) compared to the KHL wetlands. The result indicated that δ13C in KHL wetland was higher, indicated by more negative values, compared to that in HM wetland suggesting that the former wetland is less degraded compared to the latter confirming that if other wetlands in the country will revert to their original status if conserved/rehabilitated. Results also showed that both wetlands have higher levels of total N and total P in run-off water samples suggesting that both wetlands can be classified as hypertrophic. However, higher base cations in the soils and water samples of the KHL wetlands may be related more to the geology of the site as this has been under conservation for about 6 years. Avoiding the restoration of agricultural land with high nutrient levels in favor of land with lower amounts of nutrients may increase the likelihood of restoration success.
Sincere thanks go to the Regional University Forum (RUFORUM), Uganda that awarded grants RU 2009/GRG15 to the two M.Sc. students—Mr. Nkheloane and Ms. Mating. Also, thanks go to the International Atomic Energy Agency (IAEA), Vienna, Austria that provided N-15 isotope fertilizer and analyzed the data under the grant agreement CRP 15399/R1-3.
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Among these heavy metals, a few have direct or indirect impact on the human body. Some of these heavy metals such as copper, cobalt, iron, nickel, magnesium, molybdenum, chromium, selenium, manganese and zinc have functional roles which are essential for various diverse physiological and biochemical activities in the body. However, some of these heavy metals in high doses can be harmful to the body while others such as cadmium, mercury, lead, chromium, silver, and arsenic in minute quantities have delirious effects in the body causing acute and chronic toxicities in humans. The focus of this chapter is to describe the various mechanism of intoxication of some selected heavy metals in humans along with their health effects. Therefore it aims to highlight on biochemical mechanisms of heavy metal intoxication which involves binding to proteins and enzymes, altering their activity and causing damage. More so, the mechanism by which heavy metals cause neurotoxicity, generate free radical which promotes oxidative stress damaging lipids, proteins and DNA molecules and how these free radicals propagate carcinogenesis are discussed. Alongside these mechanisms, the noxious health effects of these heavy metals are discussed.",book:{id:"7111",slug:"poisoning-in-the-modern-world-new-tricks-for-an-old-dog-",title:"Poisoning in the Modern World",fullTitle:"Poisoning in the Modern World - New Tricks for an Old Dog?"},signatures:"Godwill Azeh Engwa, Paschaline Udoka Ferdinand, Friday Nweke Nwalo and Marian N. Unachukwu",authors:[{id:"241837",title:"Mr.",name:"Godwill Azeh",middleName:null,surname:"Engwa",slug:"godwill-azeh-engwa",fullName:"Godwill Azeh Engwa"},{id:"274194",title:"BSc.",name:"Paschaline Ferdinand",middleName:null,surname:"Okeke",slug:"paschaline-ferdinand-okeke",fullName:"Paschaline Ferdinand Okeke"},{id:"286975",title:"Dr.",name:"Friday",middleName:null,surname:"Nweke Nwalo",slug:"friday-nweke-nwalo",fullName:"Friday Nweke Nwalo"},{id:"286976",title:"Dr.",name:"Marian",middleName:null,surname:"Unachukwu",slug:"marian-unachukwu",fullName:"Marian Unachukwu"}]},{id:"65467",title:"Anesthesia Management for Large-Volume Liposuction",slug:"anesthesia-management-for-large-volume-liposuction",totalDownloads:5710,totalCrossrefCites:0,totalDimensionsCites:0,abstract:"The apparent easiness with which liposuction is performed favors that patients, young surgeons, and anesthesiologists without experience in this field ignore the many events that occur during this procedure. Liposuction is a procedure to improve the body contour and not a surgery to reduce weight, although recently people who have failed in their plans to lose weight look at liposuction as a means to contour their body figure. Tumescent liposuction of large volumes requires a meticulous selection of each patient; their preoperative evaluation and perioperative management are essential to obtain the expected results. The various techniques of general anesthesia are the most recommended and should be monitored in the usual way, as well as monitoring the total doses of infiltrated local anesthetics to avoid systemic toxicity. The management of intravenous fluids is controversial, but the current trend is the restricted use of hydrosaline solutions. The most feared complications are deep vein thrombosis, pulmonary thromboembolism, fat embolism, lung edema, hypothermia, infections and even death. The adherence to the management guidelines and prophylaxis of venous thrombosis/thromboembolism is mandatory.",book:{id:"6221",slug:"anesthesia-topics-for-plastic-and-reconstructive-surgery",title:"Anesthesia Topics for Plastic and Reconstructive Surgery",fullTitle:"Anesthesia Topics for Plastic and Reconstructive Surgery"},signatures:"Sergio Granados-Tinajero, Carlos Buenrostro-Vásquez, Cecilia\nCárdenas-Maytorena and Marcela Contreras-López",authors:[{id:"273532",title:"Dr.",name:"Sergio Octavio",middleName:null,surname:"Granados Tinajero",slug:"sergio-octavio-granados-tinajero",fullName:"Sergio Octavio Granados Tinajero"}]},{id:"30178",title:"Chest Mobilization Techniques for Improving Ventilation and Gas Exchange in Chronic Lung Disease",slug:"chest-mobilization-techniques-for-improving-ventilation-and-gas-exchange-in-chronic-lung-disease",totalDownloads:30993,totalCrossrefCites:0,totalDimensionsCites:5,abstract:null,book:{id:"648",slug:"chronic-obstructive-pulmonary-disease-current-concepts-and-practice",title:"Chronic Obstructive Pulmonary Disease",fullTitle:"Chronic Obstructive Pulmonary Disease - Current Concepts and Practice"},signatures:"Donrawee Leelarungrayub",authors:[{id:"73709",title:"Associate Prof.",name:"Jirakrit",middleName:null,surname:"Leelarungrayub",slug:"jirakrit-leelarungrayub",fullName:"Jirakrit Leelarungrayub"}]}],onlineFirstChaptersFilter:{topicId:"3",limit:6,offset:0},onlineFirstChaptersCollection:[{id:"81721",title:"Atrial Fibrillation and Stroke",slug:"atrial-fibrillation-and-stroke",totalDownloads:0,totalDimensionsCites:null,doi:"10.5772/intechopen.104619",abstract:"Atrial fibrillation (AF) represents a major cause of morbidity and mortality in adults, especially for its strong association with thromboembolism and stroke. In this chapter, we aim to provide an overview on this cardiac arrhythmia, addressing several important questions. Particularly, we faced the possible mechanisms leading to an increased risk of embolism in AF, emphasizing how Virchow’s triad for thrombogenesis is unable to fully explain this risk. Disentangling the risk of stroke caused by AF and by other associated vascular conditions is extremely challenging, and risk stratification of patients with AF into those at high and low risk of thromboembolism has become a crucial determinant of optimal antithrombotic prophylaxis. Moreover, we discuss the typical clinical and radiological characteristics of cardioembolic strokes, addressing acute, time-dependent reperfusional therapies in case of ischemic stroke. The role of anticoagulation in AF is also fully analyzed; the benefit of oral anticoagulation generally outweighs the risk of bleeding in AF patients, and a variety of scoring systems have been developed to improve clinical decision-making when initiating anticoagulation. With their predictable pharmacokinetic profiles, wide therapeutic windows, fewer drug–drug and drug-food interactions, and the non-vitamin K antagonist (VKA) oral anticoagulants (NOACs) have changed the landscape of thromboprophylaxis for AF patients, offering the opportunity to use effective anticoagulants without the need for intensive therapeutic drug monitoring.",book:{id:"10782",title:"Cerebrovascular Diseases - Elucidating Key Principles",coverURL:"https://cdn.intechopen.com/books/images_new/10782.jpg"},signatures:"Francesca Spagnolo, Vincenza Pinto and Augusto Maria Rini"},{id:"80743",title:"Air Quality and Health in West Africa",slug:"air-quality-and-health-in-west-africa",totalDownloads:0,totalDimensionsCites:null,doi:"10.5772/intechopen.102706",abstract:"One of the most important elements for survival is air. Its significance cannot be overstated, necessitating proactive measures and regulations to ensure clean air in our atmosphere. Africa is one of the continents with the worst air quality. According to NASA modelling research, air pollution causes approximately 780,000 premature deaths per year in Africa. Experiments were carried out by the European-African consortium DACCIWA to investigate the causes and effects of air pollution by looking at the entire chain of natural and human-made emissions, from formation to dispersion to repercussions. The findings suggest that air pollution has already reached a dangerous threshold for human health in most West African countries. The aim of this chapter is to highlight and increase awareness about the severe risk that air pollution poses to the health of inhabitants of West African countries.",book:{id:"11231",title:"Air Quality and Health",coverURL:"https://cdn.intechopen.com/books/images_new/11231.jpg"},signatures:"Odubanjo D. Adedolapo"},{id:"81915",title:"Paracetamol-Induced Hepatotoxicity",slug:"paracetamol-induced-hepatotoxicity",totalDownloads:0,totalDimensionsCites:0,doi:"10.5772/intechopen.104729",abstract:"Drug-induced hepatotoxicity is common in clinical settings, one of the commonly used drugs leading to liver injury is paracetamol. It is a commonly used analgesic and antipyretic drug. The toxicity of paracetamol has been described in accidental, iatrogenic, and intentional ingestion; also, the extent of liver injury varies from person to person depending on host factors, nutritional status, age, etc. The toxicity of paracetamol is not usually recognized by clinicians as initially, the symptoms are subtle. There is a specific antidote available for paracetamol-induced liver injury to prevent acute liver failure; however, it needs to be given time for proper action, therefore a strong clinical suspicion is to be taken when there is no proper history of ingestion.",book:{id:"11265",title:"Hepatotoxicity",coverURL:"https://cdn.intechopen.com/books/images_new/11265.jpg"},signatures:"Nida Mirza"},{id:"80928",title:"Trauma Resuscitation, Mass Casualty Incident Management and COVID 19: Experience from a South African Trauma Unit",slug:"trauma-resuscitation-mass-casualty-incident-management-and-covid-19-experience-from-a-south-african-",totalDownloads:1,totalDimensionsCites:0,doi:"10.5772/intechopen.103971",abstract:"The COVID 19 pandemic has spanned 2 years and is still ongoing with many questions arising. We attempt to answer some pertinent questions with literature as well as anecdotal evidence from our facility. To describe any changes to the resuscitation of trauma patients during the COVID 19 pandemic if any. During the COVID 19 pandemic, Johannesburg a city in the Gauteng Province of South Africa experienced civil unrest and a fire at one of its trauma units, this resulted in a mass casualty incident (MCI) at the only functional trauma unit in the public sector. Results of this observational study will be elucidated. Focus is placed on PPE protocols, trauma resuscitations, MCI management, triage principles and the changing surgeon’s role within the pandemic.",book:{id:"11297",title:"ICU Management and Protocols",coverURL:"https://cdn.intechopen.com/books/images_new/11297.jpg"},signatures:"Naadiyah Laher"},{id:"81912",title:"Renal Replacement Therapies in the Intensive Care Unit",slug:"renal-replacement-therapies-in-the-intensive-care-unit",totalDownloads:1,totalDimensionsCites:0,doi:"10.5772/intechopen.105033",abstract:"Renal replacement therapies (RRT) are commonly used in critically ill patients to achieve solute clearance, maintain acid-base status, and remove fluid excess. The last two decades have seen the emergence of large randomized control trials bringing new evidence regarding how RRT should now be managed in the ICU. RRT is considered a vital supportive care and needs to be adequately prescribed and delivered. This chapter first summarizes the basic principles and characteristics of the three major RTT modalities: intermittent hemodialysis (IHD), prolonged intermittent RRT (PIRRT), and continuous RRT (CRRT). Then, the large body of literature regarding indications for initiation (early vs late), choice of modality (intermittent vs continuous and diffusion vs convection), dosing (intensive vs less-intensive), and anticoagulation alternatives is reviewed to guide clinical decision-making. Recent evidence in the optimal timing of discontinuing RRT is reported. Finally, troubleshooting scenarios frequently seen in clinics and requiring an adapted RRT prescription are also discussed.",book:{id:"11297",title:"ICU Management and Protocols",coverURL:"https://cdn.intechopen.com/books/images_new/11297.jpg"},signatures:"Dominic Godbout, Philippe Lachance and Jean-Maxime Côté"},{id:"81919",title:"A Role for Cardiac Glycosides in GBM Therapy",slug:"a-role-for-cardiac-glycosides-in-gbm-therapy",totalDownloads:1,totalDimensionsCites:0,doi:"10.5772/intechopen.105022",abstract:"There is a pressing need for new effective therapeutic strategies to treat glioblastoma (GBM). Cardiac glycoside compounds consisting of both cardenolides and bufadienolides have been shown to possess potent activity against GBM cell lines and in vivo GBM tumors. In addition, recent research has shown that certain cardiac glycoside compounds contribute to an additive and even synergistic manner with the standard of care GBM treatments such as radiotherapy and chemotherapy. Finally, the finding that cardiac glycosides may offer a unique role in the control of GBM stem cells offers hope for better therapeutic outcomes in treating this deadly form of brain cancer.",book:{id:"11597",title:"Glioblastoma - Current Evidences",coverURL:"https://cdn.intechopen.com/books/images_new/11597.jpg"},signatures:"Yuchen Du, Xiao-Nan Li, Peiying Yang and Robert A. Newman"}],onlineFirstChaptersTotal:775},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:{},subseries:{},overviewPageOFChapters:[],overviewPagePublishedBooks:[],openForSubmissionBooks:{},onlineFirstChapters:{},subseriesFiltersForOFChapters:[],publishedBooks:{},subseriesFiltersForPublishedBooks:[],publicationYearFilters:[],authors:{}},subseries:{item:{},onlineFirstChapters:{},publishedBooks:{},testimonialsList:[]},submityourwork:{pteSeriesList:[],lsSeriesList:[],hsSeriesList:[],sshSeriesList:[],subseriesList:[],annualVolumeBook:{},thematicCollection:[],selectedSeries:null,selectedSubseries:null},seriesLanding:{item:null},libraryRecommendation:{success:null,errors:{},institutions:[]},route:{name:"chapter.detail",path:"/chapters/47534",hash:"",query:{},params:{id:"47534"},fullPath:"/chapters/47534",meta:{},from:{name:null,path:"/",hash:"",query:{},params:{},fullPath:"/",meta:{}}}},function(){var e;(e=document.currentScript||document.scripts[document.scripts.length-1]).parentNode.removeChild(e)}()