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Journal of Resources and Ecology >

2020 , Vol. 11 >Issue 1: 27 - 37

DOI: https://doi.org/10.5814/j.issn.1674-764x.2020.01.003

Response of Asiatic ibex (Capra sibirica) under Climate Change Scenarios

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  • 1. Agricultural Research and Development Program, College of Science and Engineering, Central State University, Wilberforce, OH 45384, USA;
    2. Department of Fish, Wildlife and Conservation Ecology, New Mexico State University, Las Cruces, NM 88003, USA;
    3. IUCN Species Survival Commission, Caprinae Specialist Group, Kannawurf D-06578, Germany

Received date: 2019-05-05

  Accepted date: 2019-07-25

  Online published: 2020-01-30

Supported by

The Safari Club International Foundation (SCIF); The Federal Government of Germany via Deutsche Gesellschaft für Internationale Zusammenarbeit GmbH (3393).

Fold

Abstract

We investigated the effects of climate change on the distribution of the Asiatic ibex (Capra sibirica) in eastern Tajikistan. No existing climate change studies have been conducted on the habitat of a wild goat species in Asia. We conducted ecological niche modelling to compare potential present and future distributions of suitable environmental conditions for ibex. Projecting to 2070, 18% (2689 km2) of the current suitable areas would be lost, mostly located in the southeastern and northwestern regions of the study area. However, new suitable habitats could expand outside the current ibex range —about 30% (4595 km2) expansion until 2070. We found that the elevation, terrain roughness, seasonal temperature, and precipitation of warmest quarter were the most important factors in the models and had strong correlations to ibex distribution. The losses in the southeastern portion overlapped most of the current locations of ibex in that region. These losses were observed in the much lower elevations of the study area (3500 m to 4000 m). When considering both loss and gain, the ibex could see a net expansion to new suitable habitats. About 30% (1379 km2) of the average habitat gains for the Asiatic ibex in 2070 showed a shift to northern lower temperature habitats. Our results are beneficial in planning for the potential effects on biodiversity conservation in the eastern mountain region of Tajikistan under climate change scenarios. Special attention should be given to the ibex populations in the southeastern region, where habitats could become unsuitable for the species as a result of the cli-mate-induced effects on the mountain ecosystem.

Key words： ensemble forecasting models; global climate change; species distribution modeling; mountain ungulates; Pamir Mountains

Cite this article

Eric Ariel L. SALAS, Raul VALDEZ, Stefan MICHEL, Kenneth G. BOYKIN . Response of Asiatic ibex (Capra sibirica) under Climate Change Scenarios[J]. Journal of Resources and Ecology, 2020 , 11(1) : 27 -37 . DOI: 10.5814/j.issn.1674-764x.2020.01.003

References

1 Acevedo P, Cassinello J, Hortal J, et al.2007. Invasive exotic aoudad (Ammotragus lervia) as a major threat to native Iberian ibex(Capra pyrenaica): A habitat suitability model approach. Diversity and Distributions, 13: 587-597.
2 Allouche O, Tsoar A, Kadmon R.2006. Assessing the accuracy of species distribution models: Prevalence, Kappa and the True Skill Statistic (TSS).Journal of Applied Ecology, 43: 1223-1232.
3 Arora V K, Scinocca J F, Boer G J, et al.2011. Carbon emission limits required to satisfy future representative concentration pathways of greenhouse gases.Geophysical Research Letters, 38(5): 387-404.
4 Badenkov Y P.1992. Mountains of the Former Soviet Union: Value, Diversity, Uncertainty. In: Stone P B (Ed.). The State of the World’s Mountains: A Global Report. London and New Jersey, Zed Books: 257-299.
5 Bragin N, Amgalanbaatar S, Wingard G, et al.2017. Creating a model of habitat suitability using vegetation and ruggedness forOvis ammon and Capra sibirica(Artiodactyla: Bovidae) in Mongolia. Journal of Asia-Pacific Biodiversity, 10: 390-395.
6 Breiman L.2001. Random forests.Machine Learning, 45: 5-32.
7 Breu T, Hurni H.2003. The Tajik Pamirs: Challenges of sustainable development in an isolated mountain region. Centre for Development and Environment (CDE), University of Berne, Berne, Switzerland: 80.
8 Chen I C, Hill J K, Ohlemuller R, et al.2011. Rapid range shifts of species associated with high levels of climate warming.Science, 333: 1024-1026.
9 Cohen J.1960. A coefficient of agreement for nominal scales.Educational and Psychological Measurement, 20: 37-46.
10 Collins W J, Bellouin N, Doutriaux-Boucher M, et al.2011. Development and evaluation of an Earth-System model - HadGEM2.Geoscientific Model Development, 4: 1051-1075.
11 Donner L J, Wyman B L, Hemler R S, et al.2011. The dynamical core, physical parameterizations, and basic simulation characteristics of the atmospheric component AM3 of the GFDL Global Coupled Model CM3.Journal of Climate, 24: 3484-3519.
12 Dormann C F, Jane E, Bacher S, et al.2013. Collinearity: a review of methods to deal with it and a simulation study evaluating their performance.Ecography, 36: 27-46.
13 Dzieciolowski R, Krupka J, Dziedzic R.1980. Argali and Siberian ibex populations in the Khuhsyrh Reserve in Mongolian Alta.Acta Theriologica, 25: 213-219.
14 Elith J, Catherine H G, Dudík M, et al.2006. Novel methods improve prediction of species’ distributions from occurrence data.Ecography, 29: 129-151.
15 Elith J, Leathwick J R, Hastie T.2008. A working guide to boosted regression trees.Journal of Animal Ecology, 77: 802-813.
16 Fedosenko A K, Blank D A.2001. Capra sibirica.Mammal Species, 675: 1-13.
17 Fielding A H, Bell J F.1997. A review of methods for the assessment of prediction errors in conservation presence/absence models.Environmental Conservation, 24: 38-49.
18 Fox J L, Sinha S P, Chundawat R S.1992. Activity patterns and habitat use of ibex in the Himalaya Mountains of India.Journal of Mammalogy, 73: 527-534.
19 Gama M, Crespo D, Dolbeth M, et al.2015. Predicting global habitat suitability forCorbicula fluminea using species distribution models: The importance of different environmental datasets. Ecological Modelling, 319: 163-169.
20 Gent P R, Danabasoglu G, Donner L J, et al.2011. The community climate system model version 4.Journal of Climate, 24: 4973-4991.
21 Granados A, Brodie J F.2016. Persistence of tropical Asian ungulates in the face of hunting and climate change. In: Sankaran M, Ahrestani F. (Eds.), The Ecology of Large Herbivores in South and Southeast Asia. Berlin, Germany: Springer-Verlag: 223-235.
22 Haslinger A, Breu T, Hurni H, et al.2007. Opportunities and risks in reconciling conservation and development in a post-Soviet setting: The example of the Tajik National Park.International Journal of Biodiversity Science and Management, 3: 157-169.
23 Hijmans R J, Cameron S E, Parra J L, et al.2005. Very high resolution interpolated climate surfaces for global land areas.International Journal of Climatology, 25: 1965-1978.
24 IPCC (Intergovernmental Panel on Climate Change). 2014. AR5 Climate Change 2014: Impacts, Adaptation, and Vulnerability: IPCC Fifth Assessment Report. Cambridge, UK: Cambridge University Press: 112.
25 Jacobson A R, Provenzale A, von Hardenberg A, et al.2004. Climate forcing and density dependence in a mountain ungulate population.Ecology, 85: 1598-1610.
26 Khan B, Ablimit A, Khan G, et al.2016. Abundance, distribution and conservation status of Siberian ibex, Marco Polo and Blue sheep in Karakoram-Pamir mountain area.Journal of King Saud University-Science, 28: 216-225.
27 Knutti R, Sedláček J.2013. Robustness and uncertainties in the new CMIP5 climate model projections.Nature Climate Change, 3: 369-373.
28 Lamsal P, Kumar L, Aryal A, et al.2018. Future climate and habitat distribution of Himalayan Musk Deer (Moschus chrysogaster). Ecological Informatics, 44: 101-108.
29 Leathwick J R, Elith J, Hastie T.2006. Comparative performance of generalized additive models and multivariate adaptive regression splines for statistical modelling of species distributions.Ecological Modelling, 199: 188-196.
30 Liaw A, Wiener M.2002. Classification and regression by random forest.R News, 2(3): 18-22.
31 Liu C, Berry P M, Dawson T P, et al.2005. Selecting thresholds of occurrence in the prediction of species distributions.Ecography, 28: 385-393.
32 Lobo J M, Jiménez-Valverde A, Real R.2008. AUC: A misleading measure of the performance of predictive distribution models.Global Ecology and Biogeography, 17: 145-151.
33 Luo Z, Jiang Z, Tang S.2015. Impacts of climate change on distributions and diversity of ungulates on the Tibetan Plateau.Ecological Applications, 25: 24-38.
34 Manel S, Williams H C, Ormerod S J.2001. Evaluating presence-absence models in ecology: The need to account for prevalence.Journal of Applied Ecology, 38: 921-931.
35 McCarthy J L, McCarthy K P, Fuller T K, et al.2010. Assessing variation in wildlife biodiversity in the Tien Shan Mountains of Kyrgyzstan using ancillary camera-trap photos.Mountain Research and Development, 30: 295-301.
36 Merzlyakova I.2002. The mountains of central Asia and Kazakhstan. In: M. Shahgedanova (Ed.). The Physical Geography of Northern Eurasia. New York, USA: Oxford University Press: 377-402.
37 Michel S, Muratov R.2010. Survey of Marco Polo sheep and other mammal species in the eastern Pamirs Republic of Tajikistan, GBAO. Dushanbe, Tajikistan: Committee for Environmental Protection and GTZ.
38 Morisette J T, Jarnevich C S, Holcombe T R, et al.2013. VisTrails SAHM: Visualization and workflow management for species habitat modeling.Ecography, 36: 129-135.
39 NCCA.2003. National action plan of the Republic Tajikistan for climate change mitigation, Tajik met service. Dushanbe, Tajikistan: 234.
40 Otgonbayar B, Buyandelger S, Amgalanbaatar S, et al.2017. Siberian Ibex (Capra sibirica) Neonatal Kid survival and morphometric measurements in Ikh Nart Nature Reserve, Mongolia. Mongolian Journal of Biological Sciences, 15: 23-30.
41 Pettorelli N, Pelletier F, von Hardenberg A, et al.2007. Early onset of vegetation growth vs. rapid green-up: Impacts on juvenile mountain ungulates.Ecology, 88: 381-390.
42 Phillips S J, Anderson R P, Schapire R E.2006. Maximum entropy modeling of species geographic distributions.Ecological Modelling, 190: 231-259.
43 Phillips S J, Dudík M.2008. Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation.Ecography, 31: 161-175.
44 Rabinowitz D.1981. Seven forms of rarity. In: Synge H (ed.). The Biological Aspects of Rare Plant Conservation. New York, USA: Wiley: 205-217.
45 Radi V, Bliss A, Beedlow A C, et al.2014. Regional and global projections of twenty-first century glacier mass changes in response to climate scenarios from global climate models.Climate Dynamics, 42: 37-58.
46 Raxworthy C J.2008. Extinction vulnerability of tropical montane endemism from warming and upslope displacement: A preliminary appraisal for the highest massif in Madagascar.Global Change Biology, 14: 1703-1720.
47 Reading R P, Amgalanbaatar S, Kenny D, et al.2007. Siberian Ibex (Capra sibirica) home ranges in Ikh Nart Nature Reserve, Mongolia: Preliminary findings. Mongolian Journal of Biological Sciences, 5: 29-37.
48 Reading R, Shank C.2008. Capra sibirica. The IUCN Red List of Threatened Species 2008: e.T42398A10695735.
49 Reading R P, Kenny D, Amgalanbaatar S, et al.2009. Argali lamb (Ovis ammon) morphometric measurements and survivorship in Mongolia. Mammalia, 73: 98-104.
50 Rehfeldt G E, Crookston N L, Sáenz-Romero C, et al.2012. North American vegetation model for land-use planning in a changing climate: A solution to large classification problems.Ecological Applications, 22: 119-141.
51 Roeckner E, Giorgetta M A, Crueger T, et al.2011. Historical and future anthropogenic emission pathways derived from coupled climate-carbon cycle simulations.Climatic Change, 105: 91-108.
52 Salas E A L, Valdez R, Boykin K G.2015. Geographic layers as landscape drivers for the Marco Polo argali habitat in the southeastern Pamir Mountains of Tajikistan.ISPRS International Journal of Geo-information, 4(4): 2094-2108.
53 Salas E A L, Seamster V A, Boykin K G, et al.2017a. Modeling the impacts of climate change on species of concern (birds) in South Central USA based on bioclimatic variables.AIMS Environmental Science, 4: 358-385.
54 Salas E A L, Valdez R, Michel S.2017b. Summer and winter habitat suitability of Marco Polo argali in southeastern Tajikistan: A modeling approach. Heliyon, 3(11). DOI: 10.1016/j.heliyon.2017.e00445.
55 Salas E A L, Valdez R, Michel S, et al.2018. Habitat assessment of Marco Polo sheep (Ovis ammon polii) in eastern Tajikistan: Modeling the effects of climate change.Ecology and Evolution, 8(6): 5124-5138.
56 Sappington J M, Longshore K M, Thomson D B.2007. Quantifying landscape ruggedness for animal habitat analysis: a case study using bighorn sheep in the Mojave Desert.Journal of Wildlife Management, 71: 1419-1426.
57 Scillitani L, Sturaro E, Monaco A, et al.2012. Factors affecting home range size of male Alpine ibex (Capra Ibex) in the Marmolada massif. Hystrix, 23(2): 19-27.
58 Sexton J P, McIntyre J P, Angert A L, et al.2009. Evolution and ecology of species range limits.Annual Review of Ecology, Evolution, and Systematics, 40: 415-436.
59 SHCOEP (State Administration for Hydrometeorology Committee on Environmental Protection). 2014. Tajikistan Third National Communication of the Republic of Tajikistan under the United Nations Framework Convention on Climate Change. Dushanbe, Tajikistan: 155.
60 Shen G Z, Pimm S L, Feng C, et al.2015. Climate change challenges the current conservation strategy for the giant panda.Biological Conservation, 190: 43-50.
61 Singh N J, Yoccoz N G, Bhatnagar Y V, et al.2009. Using habitat suitability models to sample rare species in high-altitude ecosystems: A case study with Tibetan argali.Biological Conservation, 18: 2893-2908.
62 Singh N J, Grachev I A, Bekenov A B, et al.2010. Tracking greenery across a latitudinal gradient in central Asia—The migration of the saiga antelope.Diversity and Distributions, 16: 663-675.
63 Smith T S, Flinders J T, Winn D S.1991. A habitat evaluation procedure for Rocky Mountain bighorn sheep in the Intermountain West.Great Basin National, 51: 205-225.
64 St-Louis A, CôtéS D.2014. Resource selection in a high-altitude rangeland equid, the kiang (Equus kiang): Influence of forage abundance and quality at multiple spatial scales.Canadian Journal of Zoology, 92: 239-249.
65 Stohlgren T J, Ma P, Kumar S, et al.2010. Ensemble habitat mapping of invasive plant species.Risk Analysis, 30: 224-235.
66 Su J, Aryal A, Nan Z, et al.2015. Climate change-induced range expansion of a subterranean rodent: Implications for rangeland management in Qinghai-Tibetan Plateau.PLosOne, DOI: 10.1371/ journal.pone.0138969.
67 Swets J A.1988. Measuring the accuracy of diagnostic systems.Science, 240: 1285-1293.
68 Talbert C.2012. Software for assisted habitat modeling package for VisTrails (SAHM: VisTrails). Ver. 1. Fort Collins, CO: U.S. Geological Survey.
69 Tamburello N, CôtéI M, Dulvy N K.2015. Energy and the scaling of animal space use.American Naturalist, 186: 196-211.
70 Tateishi R, Zhu L, Sato H P.2003. The land cover map for Central Asia for the year GLC2000 database, European Commission Joint Research Centre. http://www-gem.jrc.it/glc2000
71 Turner J C, Douglas C L, Hallum C R, et al.2004. Determination of critical habitat for the endangered Nelson’s bighorn sheep in southern California.Wildlife Society Bulletin, 32: 427-448.
72 USGS. 2016. U.S. Geological Survey Shuttle Radar Topography Mission (SRTM) Resource Archive. http://www.srtm.usgs.gov/index.php.
73 Valdez R, Weinberg P R.2011. Genus Capra. In: Mittermeier R A, Wilson R A. (ed.). Handbook of the Mammals of the World (Vol. 2), Ungulates. Barcelona, Spain: Lynx Edicions: 719-725.
74 Valdez R, Michel S, Subbotin A, et al.2016. Status and population structure of a hunted population of Marco Polo Argali Ovis ammon polii (Cetartiodactyla, Bovidae) in southeastern Tajikistan. Mammalia, 80: 49-57.
75 Vuuren D P, Edmonds J, Kainuma M.2011. The representative concentration pathways: An overview.Climatic Change, 109(1): 5-31.
76 Warren D L, Seifert S N.2011. Ecological niche modeling in Maxent: The importance of model complexity and the performance of model selection criteria.Ecological Applications, 21: 335-342.
77 Watanabe M, Suzuki T, O’ishi R, et al.2010. Improved climate simulation by MIROC5: Mean states, variability, and climate sensitivity.Journal of Climate, 23: 6312-6335.
78 Weaver L C.2013. The potential for sustainable hunting management in the context of the Tajik National Park and the recently established Tajik World Heritage Site. http://www.wildlife-tajikistan.org/en/downloads/ finish/2/69/0.
79 WHC.2013. Tajik National Park (Mountains of the Pamirs), World Heritage Committee, 37th session of the Committee (37 COM). Documents WHC-13/37.COM/8B and WHC‐13/37.COM/INF.8B2, Phnom Penh, Cambodia: 49.
80 Ye X, Yu X, Yu C, et al.2018. Impacts of future climate and land cover changes on threatened mammals in the semi-arid Chinese Altai Mountains.Science of Total Environment, 612: 775. DOI: 10.1016/j.scitotenv.2017.08.191
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