Summary of the characteristics of the study plots sampled for comparing the changes in the species richness from the 1980s to 2008
When wildlife populations grow excessively, they affect other flora and fauna within their ecosystems (Fuller & Gill, 2001; Pellerin et al., 2006; Rooney, 2001; Schütz et al., 2003; Stewart & Burrows, 1989; Stockton et al., 2005; Takatsuki, 2009; Webster et al., 2005). For example, the recent increase in the sika deer population in Japan has led to the degradation of ecosystems in many areas. From 1979 to 2002, the range of this species expanded by as much as 70% (Nakajima, 2007). Although stripping of bark, grazing on grass, and browsing on tree understories are normal foraging behaviors in deer, these activities in excess can cause severe damage. Excessive bark stripping causes wood decay, leading to a decline in the forest cover (Akashi & Nakashizuka, 1999; Miquelle & van Ballenberghe, 1989; Yokoyama et al., 2001), and excessive browsing and/or grazing may alter the structure and composition of vegetation on the forest floor (Kumar et al., 2006; Rooney & Waller, 2003; Schütz et al., 2003; Stockton et al., 2005; Webster et al., 2005). These environmental changes indirectly affect other organisms in the forest ecosystem (Allombert et al., 2005; Feber et al., 2001; Flowerdew & Ellwood, 2001; Rooney, 2001).
To protect forest vegetation from further damage by the increased sika deer population, protective management, for example, wrapping tree trunks in wire mesh, have been implemented in addition to deer population control via culling and the erection of deer-proof fences (Ministry of the Environment-Kinki Regional Environment Office, 2009; Takatsuki, 2009). However, although these measures are effective for the protection of vegetation, they sometimes negatively affect other organisms.
This chapter describes the effects of protective management activities on epiphytic diversity at Mt. Odaigahara in central Japan, which is a hotspot for bryophyte diversity. It discusses the best practices for biodiversity conservation in this scenario on the basis of a previously published article (Oishi, 2011).
2. Study site
2.1. Location and characteristics of the study site
Mt. Odaigahara (34°N, 136°E; altitude, ca. 1,500 m) is located in Yoshino Kumano National Park, which is in the southeastern part of the Nara Prefecture in Japan (Fig. 1). The climate in this region is relatively mild (annual mean temperature, 5.7 °C), with high levels of precipitation (annual mean precipitation, 4,500 mm; Nara Local Meteorological Observatory 1997). The vegetation on Mt. Odaigahara is classified into 2 main types: (1) the dominant tree species on the eastern part of the mountain is
2.2. Deer population
The population density of sika deer in Mt. Odaigahara has increased from the 1960s (Ando & Goda, 2009). To be specific, it has increased from approximately 12.0–22.2 individuals per square kilometer in the 1980s to 17.5–39.5 individuals per square kilometer in the 1990s (Ando & Goda, 2009). This increase led to serious damage to the forest vegetation in this mountain region (Ministry of the Environment, Kinki Regional Environment Office, 2009); for example, extensive bark stripping by the deer resulted in the dieback of damaged trees, and excessive browsing/grazing led to the loss of vegetation on the forest floor (Fig. 2). The Ministry of the Environment initiated a forest protection program in 1986 to conserve the forest ecosystem in this region (Ministry of the Environment, Kinki Regional Environment Office, 2009). This program was executed in a part (ca. 703 hectare) of Mt. Odaigahara (Ministry of the Environment, Kinki Regional Environment Office, 2009). To prevent bark stripping by the deer, the trunks of around 32,500 trees were wrapped with wire mesh composed of zinc-coated galvanized iron (Ministry of the Environment, Kinki Regional Environment Office, 2009) (Fig. 3).
2.3. Bryophyte diversity
In addition to the rapidly increasing population of sika deer on Mt. Odaigahara, this region is recognized for its bryophyte diversity. In fact, Mt. Odaigahara is home to approximately 30% (> 620 species) of the bryophytes in Japan (Doei, 1988), including several nationally endangered species that are listed in the Red Data Book of Japan (Ministry of the Environment, 2000). The rich diversity of epiphytic bryophytes in this region is attributed to the high humidity of this region (Doei, 1988) (Fig. 4). The major species on Mt. Odaigahara include
2.4. Changes in bryophyte diversity and the deer population since the 1960s
In the 1980s, epiphytic bryophyte flora in
In 2008, we surveyed the epiphytic bryophyte flora in almost the same places as those examined in a previous study (Doei & Nakanishi, 1984) by using 20 × 20 m quadrants (plots A, B, C, and D in Fig. 1), and we examined the changes in these areas that had occurred over in the last 30 years. Table 1 summarizes the environmental conditions in these plots.
The species richness of individual
Possible reasons for the decrease in bryophyte diversity are that (1) the decline in the forest cover indirectly affected bryophyte diversity because of the changes in the environmental conditions (e.g., air humidity), and (2) the protection of trees using wire mesh directly affected bryophyte diversity because of metal pollution.
To determine the reasons for the decline in bryophyte diversity, we examined the correlation between the diversity of epiphytic bryophytes and environmental variables, including wire mesh protection.
Bryophytes provide safe microhabitats for the seedbeds of vascular plants (left). B: Bryophytes absorb water from rain drops and mist and therefore function in water storage in forests (right).
|2008||10||8||23.8 ± 4.2|
|Masakigahara||1980s||13||0||34.4 ± 7.6|
|2008||10||9||25.0 ± 11.2|
The bars represent the mean value of species richness and epiphyte cover on a single tree, and the error bars represent the corresponding standard deviations.
3. Bryophyte diversity and environmental variables
3.1. Major environmental factors influencing bryophyte diversity
3.1.1. Site selection
A preliminary survey was conducted to identify plots of forest that were dominated by
3.1.2. Bryophyte sampling
The epiphytic bryophyte flora on the trunks of
Bryophyte nomenclature followed that reported by Iwatsuki (2001). The proportion of bryophyte cover, as a percentage of the total available bark area being investigated, was divided into 6 levels: 1 (<1%), 2 (≥1% to <10%), 3 (≥10% to <25%), 4 (≥25% to <50%), 5 (≥50% to <75%), and 6 (≥75%).
3.1.3. Analysis of the correlation between bryophyte diversity and environmental variables
A simple generalized linear model (GLM) using R software for Windows 2.11.0 (R Development Core Team, 2010) was used to identify the correlations between species richness and the bryophyte cover with respect to environmental variables. To identify the most parsimonious model, we performed automated stepwise model selection using the Akaike information criterion (AIC) using the minimum AIC as the best-fit estimator. Bryophytes that had been identified only up to the genus level were not included in the calculation of species richness if any species of that genus was sampled. The environmental variables used in the GLMs were tree density, host tree diameter at breast height (DBH), percentage of debarked area, and percentage of tree trunks with wire mesh protection.
3.1.4. Results & discussion
Associated with the 110 tree trunks in the sampling plots, 68 species were identified in the bryophyte flora survey: 29 mosses and 39 liverworts (Appendix). Fig. 8 shows the species richness and cover in the study plots. The species richness on a single tree ranged from no species to 34 species (mean = 9.1, SD ± 9.0), while the bryophyte cover ranged from 0 to level 5 (mean = 2.0, SD ± 1.8).
The GLMs constructed using the environmental variables are presented in Table 3. These models showed that the species richness and bryophyte cover were significantly correlated with DBH (height, 1.5 m) and tree density
High tree density and host tree DBH have been suggested to be beneficial for bryophyte diversity, as they provide better microclimates, e.g., humid conditions (Hazell et al., 1998; Ojala et al., 2000; Thomas et al., 2001). Further, the species richness and bryophyte cover may be positively correlated with high host tree DBH because DBH is correlated with bark features (e.g., bark thickness and bark roughness) (Boudreault et al., 2008; Ojala et al.,2000).
The results of this study raise the question of how wire mesh protection negatively affects bryophyte diversity. Considering that the galvanized iron, which is the primary component of the wire mesh, is coated with zinc, it is likely that the zinc affects the bryophytes. In the next section, we compare the zinc concentrations in bryophytes on trees with and without wire mesh protection.
3.2. Effect of wire mesh protection on bryophytes
3.2.1. Bryophyte samples
To examine the influence of wire mesh protection on the bryophytes, inductively coupled plasma-mass spectrometry (ICP-MS) was used to compare the concentration of zinc in bryophyte samples, since zinc coats the wire mesh surface. For this evaluation, 2 species of bryophyte that are commonly found on the trunks of
3.2.2. Analysis of zinc concentration
Dry samples (0.05–0.10 g) were placed in polytetrafluoroethylene vessels and weighed. Subsequently, 5 mL of nitric acid was added to the samples, and they were digested using a microwave system (MLS-1200 MEGA; Milestone General, Tokyo, Japan) before ICP-MS analysis. The samples were then analyzed using a 7500CX ICP-MS system (Agilent Technologies, Wilmington, DE, USA). Spectral interference was minimized or eliminated using the octopole reaction system, with helium as the reaction gas at a flow rate of 2.5 mL/min. The ICP-MS analysis was repeated twice for each sample, and the mean values were used in one-sided Student’s t-test comparisons of the zinc concentration from bryophyte samples on tree trunks with and without wire mesh.
|Intercept||7.30||3.81||< 0.01||2.26||7.30||< 0.01|
|Tree density||3.51×10-4||3.10||< 0.01||6.30×10-5||3.43||< 0.01|
|Host tree DBH||2.01×10-1||3.12||< 0.01||2.29×10-2||2.18||< 0.05|
|Wire mesh||–1.43×10-1||−14.2||< 0.01||–3.19×10-2||−19.5||< 0.01|
|Adjusted R squared||0.701||0.804|
3.2.3. Results & discussion
ICP-MS analysis showed a significant 3- to 6-fold higher concentration of zinc in bryophytes inhabiting the bark of trees with wire mesh protection than in those without wire mesh protection (Fig. 9). Previous studies have shown that a considerable amount of zinc is leached from the zinc coating of galvanized iron by rain and dew (Harris, 1946; Seaward, 1974). Research has also shown that zinc is highly toxic to bryophytes (Tyler, 1990). Consequently, from the decreased diversity and increased zinc concentration of bryophytes on trees with wire mesh protection, it is reasonable to conclude that the loss of bryophyte cover and species richness has primarily occurred because of the toxicity of the zinc in the wire mesh. Additionally, other heavy metals in the wire mesh (e.g., iron) may affect bryophytes, with different heavy metals exerting varying levels of toxicity for bryophytes (Tyler, 1990).
4. Implications for biodiversity conservation
The results show that epiphytic bryophyte diversity is positively influenced by tree density and host tree DBH but negatively influenced by wire mesh protection, because of zinc toxicity (Fig. 10). The decline in bryophyte abundance and diversity on the lower parts of the tree trunks may be a cause for concern for biodiversity conservation on Mt. Odaigahara. This is because bryophytes contribute significantly to the species richness and biomass of tree trunks (Fritz, 2009; Lyons et al., 2000), as well as for ecosystem functions.
Furthermore, in addition to bryophytes, tree bark also provides important habitats for lichens and vascular epiphytes (Williams & Sillett, 2007). However, as heavy metals are toxic to these plants (Tyler et al., 1989), wire mesh protection may also contribute towards decreasing their levels of diversity and ecosystem functions. Unfortunately, considering that wire mesh protection is generally used against mammalian pests due to its direct effectiveness (Salmon et al. 2006; Vercauteren et al. 2006), this negative impact on bryophyte diversity may be widespread.
The zinc concentration was significantly higher in bryophytes on trees with wire mesh than in those without wire mesh (
Therefore, to establish best practices for biodiversity conservation that includes bryophytes, we should not only protect trees against bark stripping by deer but also focus on the materials used for protection. Alternative techniques for plant protection include the use of tree shelters in which trees are enclosed in plastic tubes (Ward et al., 2000) and forest enclosures using plastic mesh fencing (Vercauteren et al., 2006). However, these alternatives may also affect biodiversity conservation. For example, tree shelters decrease light transmission (Ward et al., 2000), which might alter the composition of bryophyte species on tree trunks. Further, Shibata et al. (2008) reported that forest enclosures sometimes hamper tree regeneration within the fenced areas because of serious seed predation by increased mouse populations.
The difficulties faced in minimizing the effect of plant protection methods on ecosystems that have complex community interactions are shown in this chapter. To establish best practices for biodiversity conservation, adaptive management should be adopted. Within such frameworks, we should examine and revise protective management practices on the basis of scientific data assimilated from regular monitoring of such ecosystems, while also preferentially using metal-free plant protection materials.
This list shows the average cover of each species on a single
The author thanks Professor Yukihiro Morimoto and Associate Professor Hiroyuki Akiyama for providing critical comments and suggestions for improvements to this chapter, in addition to Dr. Kosaku Yamada for assistance with bryophyte identification and Kaori Kuriyama for the bryophyte survey and photos. This research was supported by a Grant-in-Aid for Scientific Research (A) (No. 18201008) from the Japan Society for the Promotion of Science and the Global COE Program “Global Center for Education and Research on Human Security Engineering for Asian Megacities,” MEXT, Japan.
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