Future climate and habitat distribution of Himalayan Musk Deer (Moschus chrysogaster)
Introduction
Anthropogenic climate change (CC) has become a major threat to global biodiversity and has affected natural ecosystems in numerous regions around the world. The earth has warmed up by 0.74 °C in the 20th century, and global mean temperatures are projected to increase further by 4.3 ± 0.7 °C by 2100 (IPCC, 2013). Changes in future climate will either expand, contract or shift the climatic niche of many species and this could lead to shifting of their geographical ranges. Of the global 976 species studied, Wiens (2016) found that almost 47% are locally extinct due to range contraction even within current modest temperature rises, and that animals suffered the most (50%) compared to plants (39%). Terrestrial ecosystems have seen widespread changes in its climate in the past (Alley et al., 2003; Diffenbaugh and Field, 2013), and as a result, animal habitat ranges have shifted both in latitude and altitude (Chen et al., 2011; Hickling et al., 2006). Warren et al. (2013) projected that approximately 27% of common and widespread animal species at current time could lose half of their climatic range by 2080.
Around 96% of the Global 200 Ecoregions, identified by World Wildlife Fund (WWF) as priority eco-regions, are likely to experience moderate to pronounced climatic impact by the end of the 21st century (Li et al., 2013). Wildlife, especially mammalian species, in this context could lose substantial amounts of their habitat range at a global scale with future warming climate. Thuiller et al. (2006) projected that 20% of African mammalian species with migration capacity and 40% without migration capacity could fall either within critically endangered or extinct category as a consequences of habitat change by 2080. Likewise, Levinsky et al. (2007) estimated that almost up to 9% of European mammalian species without migration capacity risk extinction while 78% of them risks for severely threatened by 2100. Around 9% of locally found mammals in American continents would likely be unable to keep pace with future climate while 80% could have reduced range size (Schloss et al., 2012).
High species richness and endemism characterizes the Himalayan region due to climate variations, exposure effect and habitat diversity (Aryal et al., 2014; Pandit et al., 2014; Xu et al., 2009). This region however has recently been reported to be warming at a greater rate than the global average, for instance, the global average for the last 100 years was 0.74 °C (IPCC, 2013) while it was 1.5 °C for the Himalayas from 1982 to 2006 (Shrestha et al., 2012). Rapid glacier melt in the Himalaya in recent times is a compelling evidence of such warming (Shrestha and Aryal, 2011). Warming impacts to species, for instance, vegetation range shift and plant composition changes have been documented for western Himalaya (Lamsal et al., 2018; Padma, 2014; Rashid et al., 2015), central Himalaya (Gaire et al., 2014; Chhetri and Cairns, 2015; Lamsal et al., 2017a), eastern Himalaya (Manish et al., 2016; Telwala et al., 2013), southern Tibetan belt (Xiaodan et al., 2011; Zhao et al., 2011) as well as the whole Himalayas and Tibetan Plateau (Lamsal et al., 2017b). Similarly, around 30% of snow leopard (Panthera uncia) habitat is projected to be lost in the whole Himalayan region by 2050, of which 40% could disappear from Nepal alone (Forrest et al., 2012). Aryal et al. (2016) also predicted decreased habitat for snow leopard and blue sheep (Pseudois nayaur) for Nepal with future climate. All these evidences suggest that climatic change drives species to alter their geographic distribution in every region, including the Himalayas.
Himalayan Musk Deer (Moschus chrysogaster) (Fig. 1) is distributed throughout the Himalayan range. In Nepal, two species of HMD are mentioned in the literature, Moschus chrysogaster and M. leucogaster, of which this study concentrates on M. chrysogaster because of the field data availability. HMD has been under the IUCN endangered category since 2008, Appendix I of CITES list and is also protected by the Government of Nepal under the National Park and Wildlife Conservation Act, 1973. HMD is one of the six deer species found in Nepal, and prefers alpine forest habitat of the Himalaya between 2200 and 4300 m. It is native to Nepal, India, Bhutan and China but also reported in Afghanistan, Pakistan and Myanmar (Green, 1986). HMD is solitary and territorial in nature, and is a concentrate feeder with an ability to adapt to poorer diets when high quality food is in short supply (Green, 1987).
The population size of HMD for Nepal and other native regions is unknown. However, it has been decreasing in the last few decades due to anthropogenic activities (such as illegal poaching for musk gland and habitat fragmentation) in China (Yang et al., 2003), India (Syed and Ilyas, 2016), Pakistan (Khan et al., 2006), and Nepal (Aryal et al., 2010; Aryal and Subedi, 2011; Khadka et al., 2017). Such anthropogenic activities, together with ongoing and projected CC, could exacerbate their survival through impacting on their habitat. As stated earlier, many studies have reported habitat shift of species in the Himalaya region. We found no studies on impact of CC on Musk deer and its habitat in Nepal, therefore, this study attempted to investigate (i) current distributional range of HMD (ii) future climate effects on the spatial distribution of HMD, and (iii) climatic variables explaining future spatial distribution of potential habitat of HMD. This study accounted for such distributional change both inside and outside of the protected areas (PAs) of Nepal.
Section snippets
Study area
The study area covered the entire hilly and mountainous region from east to west of Nepal where the habitat of HMD currently exists (Fig. 2). Nepal is an agrarian-economy-based mountainous country situated in the central Himalaya of South Asia. The agriculture sector contributes almost 35% to national gross domestic product (GDP) and employs around 76% of the population (CBS, 2011). The most dominant climate of the country is temperate with dry winter and hot summer (Karki et al., 2015).
Distribution model
Of the eleven predictor variables used, the contribution of the four variables, annual mean temperature, altitude, isothermality and land cover, accounted for almost 85% of the model prediction (Fig. 3). Annual mean temperature highly influenced the potential habitat of HMD by contributing 47.3% to the model, while altitude, isothermality and land cover contributed 16.4%, 14.4% and 7.3% respectively. Likewise, precipitation of the driest month, aspect and annual precipitation contributed 5.9%,
Discussion and conclusions
This study is the first to investigate CC impact on the HMD habitat distribution under two IPCC scenarios focussing on Nepal Himalaya. HMD are an endangered animal and its population has been continually decreasing in its native regions owing to various human induced anthropogenic threats, mainly habitat fragmentation and illegal hunting (Harris, 2016). Further, wild ungulates such as HMD are considered as an indicator of environmental integrity and play a vital role in the maintenance of
References (81)
- et al.
Modelling spatial distribution of critically endangered Asian elephant and Hoolock gibbon in Bangladesh forest ecosystems under a changing climate
Appl. Geogr.
(2015) - et al.
Conservation and climate change: assessing the vulnerability of snow leopard habitat to treeline shift in the Himalaya
Biol. Conserv.
(2012) - et al.
A comparison of the performance of threshold criteria for binary classification in terms of predicted prevalence and kappa
Ecol. Model.
(2008) The distribution, status and conservation of the Himalayan Musk Deer Moschus chrysogaster
Biol. Conserv.
(1986)- et al.
Predicting the potential distribution of an endangered cryptic subterranean mammal from few occurrence records
J. Nat. Conserv.
(2011) - et al.
Threshold criteria for conversion of probability of species presence to either-or presence-absence
Acta Oecol.
(2007) - et al.
Habitat selection by endangered Himalayan Musk Deer (Moschus chrysogaster) and impacts of livestock grazing in Nepal Himalaya: implications for conservation
J. Nat. Conserv.
(2016) - et al.
Where are they? Where they will be? In persuit of current and future whereabouts of endangered Himalayan musk deer
Mamm. Biol.
(2017) The use of altitude in ecological research
Trends Ecol. Evol.
(2007)- et al.
The greening of the Himalayas and Tibetan Plateau under climate change
Glob. Planet. Chang.
(2017)
Delineating boundaries of social-ecological systems for landscape planning: a comprehensive spatial approach
Land Use Policy
Maximum entropy modeling of species geographic distributions
Ecol. Model.
Future projection of Indian summer monsoon variability under climate change scenario: an assessment from CMIP5 climate models
Glob. Planet. Chang.
A socio ecological systems approach for environmental management
J. Environ. Manag.
Conservation status and causes of decline of musk deer (Moschus spp.) in China
Biol. Conserv.
The geography of climate change: implications for conservation biogeography
Divers. Distrib.
Abrupt climate change
Science
Climate change threatens European conservation areas
Ecol. Lett.
The conservation and potential habitat of the Himalayan musk deer, Moschus chrysogaster, in the protected areas of Nepal
Int. J. Conserv. Sci.
Spatial habitat overlap & habitat preference of Himalayan musk deer ‘Moschus chrysogaster’ in Sagarmatha (Mt. Everest) National Park, Nepal
Curr. Res. J. Biol. Sci.
Impacts of climate change on human-wildlife-ecosystem interactions in the trans-Himalayan region of Nepal
Theor. Appl. Climatol.
Predicting the distribution of predator (snow leopard) and prey (blue sheep) under climate change in the Himalaya
Ecol. Evol.
Navigating Social-ecological Systems: Building Resilience for Complexity and Change
Nepal Living Standard Survey 2010/11
Current Status of Musk Deer in Api Nampa Conservation Area, (a Case Study From Ghusa and Khandeswori VDCs). A Report
Rapid range shift of species associated with high levels of warming
Science
Contemporary and historic population structure of Abies spectabilis at a treeline in Barun Valley, Eastern Nepal Himalaya
J. Mt. Sci.
Climate change and challenges for conservation
Changes in ecologically critical terrestrial climate conditions
Science
Quantitative methods for modelling species habitat: comparative performance and an application to Australian plants
A statistical explanation of MaxEnt for ecologists
Divers. Distrib.
Climate and vegetation in China: changes in the altitudinal lapse rate of temperature and distribution of sea level temperature
Ecol. Res.
Potential 21st century changes to the mammal fauna of Denmark – implications of climate change, land-use, and invasive species
Treeline dynamics with climate change at Central Nepal Himalaya
Clim. Past
Diet composition and quality in Himalayan Musk Deer based on fecal analysis
J. Wildl. Manag.
The view from the Cape: extinction risk, protected areas, and climate change
Bioscience
Moschus chrysogaster. The IUCN Red List of Threatened Species 2016: e.T13895A61977139
The distribution of a wide range of taxonomic groups are expanding polewards
Glob. Chang. Biol.
Future climate change will favour non-specialist mammals in the (sub) arctic
PLoS ONE
Predicting the potential distribution of the endangered Przewalski's gazelle
J. Zool.
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