Fine-scale habitat suitability modelling of Northern red muntjac (Muntiacus vaginalis) in the Chitwan Annapurna Landscape, Nepal
DOI:
https://doi.org/10.2478/foecol-2024-0020Keywords:
cervids, conservation, Maxent, protected area, species distribution model, suitabilityAbstract
Factors associated with the habitat suitability of northern red muntjac (Muntiacus vaginalis) especially outside protected areas in the human-dominated landscape are still lacking. Fine-scale environmental variables can influence the habitat suitability of the animals. This study aimed to explore the different eco-geographic fine-scale variables for the distribution of the northern red muntjac; and predict suitable habitats using the maximum entropy (Maxent) model in the Chitwan Annapurna landscape (CHAL). The presence points of the northern red muntjac (n = 265) were collected between 2018 to 2021 using 150 transects of various lengths in four blocks. Density-based occurrence points rarify and performance-based variable selection were applied to improve the output of the model. The model was evaluated based on the area under the curve (AUC) value of operator characteristic (ROC) and analyzed on the basis of the response curve, the relative importance of variables, Jackknife test and suitability map. Results indicated the model was statistically satisfactory (mean AUC > 0.75). The distance to the nearest cropland was the most contributed variable followed by Normalized Difference Built-up Index (NDBI), distance to developed/settlement area and distance to grassland that explained suitability of Northern red muntjac. The species distribution model predicted 6.52% highly suitable and 23.77% suitable area for northern red muntjac. Therefore, this area is important for the muntjac and provides a possible alternative habitat for other wild animals outside the protected areas. Our research suggests that human dominated landscape should be prioritized in management plans for the conservation of muntjac.
References
Adhikari, J.N., Bhattarai, B.P., Rokaya, M.B., Thapa, T.B., 2022. Land use/land cover changes in the central part of the Chitwan Annapurna Landscape, Nepal. PeerJ, 10: e13435. https://doi.org/10.7717/peerj.13435
Ansari, M., Ghoddousi, A., 2018. Water availability limits brown bear distribution at the southern edge of its global range. Ursus, 29 (1): 13–24. DOI: 10.2192/UR SUS-D-16-00017.1 https://doi.org/10.2192/UR
Balasubramanian, A., 2017. Biodiversity profile of India. Report submitted to Centre for Advanced Studies in Earth Science, University of Mysore, Mysore. 11 p.
Baral, S., Gautam, A.P., Vacik, H., 2018. Ecological and economical sustainability assessment of community forest management in Nepal: a reality check. Journal of Sustainable Forestry, 37 (8): 820-841. https://doi.org/10.1080/10549811.2018.1490188
Battle, C.S., 2016. Sex-specific habitat suitability models for Panthera tigris in Chitwan National Park, Nepal. Master thesis. San Diego State University.
Bhattarai, B.P., Kindlmann, P., 2012. Habitat heterogeneity as the key determinant of the abundance and habitat preference of prey species of tiger in the Chitwan National Park, Nepal. Acta Theriologica, 57 (1): 89–97. https://doi.org/10.1007/s13364-011-0047-8
Bhuju, U.R., Shakya, P.R., Basnet, T.B., Shrestha, S., 2007. Nepal biodiversity resource book: Protected areas, Ramsar sites, and World Heritage sites. International Centre for Integrated Mountain Development, Ministry of Environment, Science and Technology, Govt. of Nepal, Kathmandu. 128 p.
Brown, J.L., Bennett, J.R., French, C.M., 2017. SDM-toolbox 2.0: the next generation Python-based GIS toolkit for landscape genetic, biogeographic and species distribution model analyses. PeerJ, 5: e4095. https://doi.org/10.7717/peerj.4095
CBD, 1992. Convention on Biological Diversity:Text of the Convention. [cit. 2024-02-05]. http://www.cbd.int/convention/text/
DHM, 2019. Data of temperature and rainfall. [cit. 2023-12-18]. https://www.dhm.gov.np/
Dinerstein, E., Olson, D., Joshi, A., Vynne, C., Burgess, N.D., Wikramanayake, E., Hahn, N., Palminteri, S., Hedao, P., Noss, R., Hansen, M., Locke, H., Ellis, E.C., Jones, B., Barber, C.V., Hayes, R., Kormos, C., Martin, V., Crist, E., Sechrest, W., Price, L., Bail-lie, J.E.M., Weeden, D., Suckling, K., Davis, C., Sizer, N., Moore, R., Thau, D., Birch, T., Potapov, P., Turubanova, S., Tyukavina, A., de Souza, N., Pintea, L., Brito, J.C., Llewellyn, O.A., Miller, A.G., Patzelt, A., Ghazanfar, S.A., Timberlake, J., Kloser, H., Shennan-Farpon, Y., Kindt, R., L i l l e -so,.B., van Breugel, P., Graudal, L., Voge, M., Al-Shammari, K.F., Saleem, M., 2017. An ecoregion-based approach to protecting half the terrestrial realm. BioScience, 67 (6): 534–545. https://doi.org/10.1093/biosci/bix014
Elith, J., Leathwick, J.R., 2009. Species distribution models: ecological explanation and prediction across space and time. Annual Review of Ecology, Evolution and Systematics, 40 (1): 677–697.
Fahrig, L., McGill, B., 2019. Habitat fragmentation: a long and tangled tale. Global Ecology and Biogeography, 28 (1): 33–41. https://doi.org/10.1111/geb.12839
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 (1): 38–49. https://doi.org/10.1017/S0376892997000088
Ge, G., Shi, Z., Zhu, Y., Yang, X., Hao, Y., 2020. Land use/cover classification in an arid desert-oasis mosaic landscape of China using remote sensed imagery: performance assessment of four machine learning algorithms. Global Ecology and Conservation, 22: e00971. https://doi.org/10.1016/j.gecco.2020.e00971
Guisan, A., Thuiller, W., 2005. Predicting species distribution: offering more than simple habitat models. Ecology Letters, 8 (9): 993–1009. https://doi.org/10.1111/j.1461-0248.2005.00792.x
Guisan, A., Zimmermann, N.E., 2000. Predictive habitat distribution models in ecology. Ecological Modelling, 135 (2-3): 147–186. https://doi.org/10.1016/S0304-3800(00)00354-9
Habiba, U., Anwar, M., Khatoon, R., Hussain, M., Khan, K.A., Khalil, S., Bano, S.A., Hussain, A., 2021. Feeding habits and habitat use of barking deer (Muntiacus vaginalis) in Himalayan foothills, Pakistan. PLoS One, 16 (1): e0245279. https://doi.org/10.1371/journal.pone.0245279
Hirzel, A.H., Le Lay, G., 2008. Habitat suitability modelling and niche theory. Journal of Applied Ecology, 45 (5): 1372–1381. https://doi.org/10.1111/j.1365-2664.2008.01524.x
Huang, C., Li, X., Khanal, L., Jiang, X., 2018. Habitat suitability and connectivity inform a co-managed policy of protected areas networks for Asian elephants in China. PeerJ Preprints, 6: e27397v27391. https://doi.org/10.7287/peerj.preprints.27397v1
Hunter, M.L., Yonzon, P., 1993. Altitudinal distributions of birds, mammals, people, forests, and parks in Nepal. Conservation Biology, 7 (2): 420–423. [cit. 2024-01-12]. https://www.jstor.org/stable/2386441
Jamal, S., 2020. Biogeographical classification of India. India: Environmental Geography. [cit. 2023-12-18].https://ebooks.inflibnet.ac.in/geop08
Jianping, Y., Xiaonan, C., Shunhai, Y., Zhifang, L., Xiaoli, S., Mingchang, C., 2020. Habitat assessment of black muntjac (Muntiancus cirnifrons) in the Gutianshan National Nature Reserve based on MAXENT modeling. Acta Theriologica Sinica, 40 (2): 143. DOI: 10. 16829/j.slxb.150258
Jnawali, S., Baral, H., Lee, S., Acharya, K., Upadhyay, G., Pandey, M., Shrestha, R., Joshi, D., Lamichhane, B., Griffiths, J., 2011. The Status of Nepal’s Mammals. The National Red List Series-IUCN. Kathmandu, Nepal: Department of National Parks and Wildlife Conservation. 276
Kanagaraj, R., Wiegand, T., Kramer‐Schadt, S., Anwar, M., Goyal, S.P., 2011. Assessing habitat suitability for tiger in the fragmented Terai Arc Landscape of India and Nepal. Ecography, 34 (6): 970–981. https://doi.org/10.1111/j.1600-0587.2010.06482.x
Karanth, K., Nichols, J.D., Karanth, K.U., Hines, J.E., Christensen, N.L., Jr. 2010. The shrinking ark: patterns of large mammal extinctions in India. Proceedings of Biological Sciences, 277 (1690): 1971–1979. https://doi.org/10.1098/rspb.2010.0171
Knapp, R.G., 1992. Chinese landscapes: the village as place. Honolulu: University of Hawaii Press. 313 p.
Kogo, B.K., Kumar, L., Koech, R., Kariyawasam, C.S., 2019. Modelling climate suitability for rainfed maize cultivation in Kenya using a Maximum Entropy (Max-ENT) approach. Agronomy, 9 (11): 727. https://doi.org/10.3390/agronomy9110727
Krishnamurthy, R., Cushman, S.A., Sarkar, M.S., Malviya, M., Naveen, M., Johnson, J.A., Sen, S., 2016. Multi-scale prediction of landscape resistance for tiger dispersal in central India. Landscape Ecology, 31: 1355–1368. https://doi.org/10.1007/s10980-016-0363-0
Lu, C.Y., Gu, W., Dai, A.H., Wei, H.Y., 2012. Assessing habitat suitability based on geographic information system (GIS) and fuzzy: a case study of Schisandra sphenanthera Rehd. et Wils. in Qinling Mountains, China. Ecological Modelling, 242: 105–115. DOI: 10.1016/j.ecolmodel. 2012.06.002 https://doi.org/10.1016/j.ecolmodel.
Maharjan, B., Shahnawaz, T.B., Shrestha, P.M., 2017. Geo-spatial analysis of habitat suitability for common leopard (Panthera pardus Linnaeus, 1758) in Shivapuri Nagarjun National Park, Nepal. Environment and Ecology Research, 5: 117–128. https://doi.org/10.13189/eer.2017.050206
Mishra, H.R., 1982. The ecology and behaviour of chital (Axis axis) in the Royal Chitwan National Park, Nepal: with comparative studies of hog deer (Axis porcinus), sambar (Cervus unicolor) and barking deer (Muntiacus muntjak). PhD thesis. University of Edinburgh, UK. [cit. 2024-02-02]. http://hdl.handle.net/1842/15405
MOFSC, 2016. Conservation Landscapes of Nepal. Ministry of Forests and Soil Conservation, Singha Durbar, Kathmandu, Nepal. [cit. 2024-02-02]. https://www.dofsc.gov.np.
Naughton-Treves, L., Holland, M.B., Brandon, K., 2005. The role of protected areas in conserving biodiversity and sustaining local livelihoods. Annual Review of Environment and Resources, 30 (1): 219–252. https://doi.org/10.1146/annurev.energy.30.050504.164507
NLCDC, 2020. Lake database of Nepal. [cit. 2024-11-1]. https://nepallake.gov.np/
Paudel, P.K., Bhattarai, B.P., Kindlmann, P., 2012. An overview of the biodiversity in Nepal. In Kindlmann, P. (ed.). Himalayan biodiversity in the changing world. Dordrecht: Springer, p. 1–40. https://doi.org/10.1007/978-94-007-1802-9_1
Paudel, P.K., Hais, M., Kindlmann, P., 2015. Habitat suitability models of mountain ungulates: Identifying potential areas for conservation. Zoological Studies, 54 (1): 1–16. https://doi.org/10.1186/s40555-015-0116-9
Paudel, P.K., Heinen, J.T., 2015. Conservation planning in the Nepal Himalayas: effectively designing reserves for heterogeneous landscapes. Applied Geography, 56: 127–134. https://doi.org/10.1016/j.apgeog.2014.11.018
Paudel, P.K., Kindlmann, P., Gordon, I., Mishra, C., 2012. Human disturbance is a major determinant of wildlife distribution in Himalayan mid-hill landscapes of Nepal. Animal Conservation, 15 (3): 283–293. https://doi.org/10.1111/j.1469-1795.2011.00514.x
Penjor, U., Kaszta, Ż., Macdonald, D.W., Cushman, S.A., 2021. Prioritizing areas for conservation outside the existing protected area network in Bhutan: the use of multi-species, multi-scale habitat suitability models. Landscape Ecology, 36: 1281–1309. https://doi.org/10.1007/s10980-021-01225-7
Pettorelli, N., Ryan, S., Mueller, T., Bunnefeld, N., Jędrzejewska, B., Lima, M., Kausrud, K., 2011. The Normalized Difference Vegetation Index (NDVI): unforeseen successes in animal ecology. Climate Research, 46 (1): 15–27. https://doi.org/10.3354/cr00936
Phillips, S.J., 2008. Transferability, sample selection bias and background data in presence-only modelling: a response to Peterson et al. (2007). Ecography, 31 (2): 272–278.
Phillips, S.J., Anderson, R.P., Schapire, R.E., 2006. Maximum entropy modeling of species geographic distributions. Ecological Modelling, 190 (3-4): 231–259. https://doi.org/10.1016/j.ecolmodel.2005.03.026
Phillips, S.J., Dudík, M., 2008. Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation. Ecography, 31 (2): 161–175. https://doi.org/10.1111/j.0906-7590.2008.5203.x
Pla-ard, M., Khioesree, N., Sungkalak, B., Nathalang, A., Thomas, W., Uthairatsamee, S., Paansri, P., Chanachai, Y., Sukmasuang, R., 2022. Population characteristics and habitat suitability of Khao Yai National Park, Thailand for Asian elephant and five ungulate species. Biodiversitas Journal of Biological Diversity, 23 (1): 231–243. DOI :10.13057/biodiv/d230129 https://doi.org/10.13057/biodiv/d230129
Primack, R., Paudel, P., Bhattarai, B., 2013. Conservation biology: a primer for Nepal. Kathmandu, Nepal: Dream-land Publication. 432 p.
Qin, A., Liu, B., Guo, Q., Bussmann, R.W., Ma, F., Jian, Z., Xu, G., Pei, S., 2017. Maxent modeling for predicting impacts of climate change on the potential distribution of Thuja sutchuenensis Franch., an extremely endangered conifer from southwestern China. Global Ecology and Conservation, 10: 139–146. https://doi.org/10.1016/j.gecco.2017.02.004
Rather, T.A., Kumar, S., Khan, J.A., 2020. Multi-scale habitat modelling and predicting change in the distribution of tiger and leopard using random forest al gorithm. Scientific Reports, 10 (1): 11473. https://doi.org/10.1038/s41598-020-68167-z
Rimal, S., Adhikari, H., Tripathi, S., 2018. Habitat suitability and threat analysis of greater one-horned rhino Rhinoceros unicornis Linnaeus, 1758 (Mammalia: Perissodactyla: Rhinocerotidae) in Rautahat District, Nepal. Journal of Threatened Taxa, 10 (8): 11999–12007. https://doi.org/10.11609/jott.3948.10.8.11999-12007
Sarkar, M., Pandey, A., Singh, G., Lingwal, S., John, R., Hussain, A., Rawat, G., Rawal, R., 2018. Multiscale statistical approach to assess habitat suitability and connectivity of common leopard (Panthera pardus) in Kailash Sacred Landscape, India. Spatial Statistics, 28: 304–318. https://doi.org/10.1016/j.spasta.2018.07.006
Sarkar, M.S., Krishnamurthy, R., Johnson, J.A., Sen, S., Saha, G.K., 2017. Assessment of fine-scale resource selection and spatially explicit habitat suitability modelling for a re-introduced tiger (Panthera tigris) population in central India. PeerJ, 5: e3920. https://doi.org/10.7717/peerj.3920
Sharma, P., Panthi, S., Yadav, S.K., Bhatta, M., Karki, A., Duncan, T., Poudel, M., Acharya, K.P., 2020. Suitable habitat of wild Asian elephant in Western Terai of Nepal. Ecology and Evolution, 10 (12): 6112–6119. https://doi.org/10.1002/ece3.6356
Shrestha, B., Kindlmann, P., 2020. Implications of landscape genetics and connectivity of snow leopard in the Nepalese Himalayas for its conservation. Scientific Reports, 10 (1): 1–11. https://doi.org/10.1038/s41598-020-76912-7
Shrestha, U.B., Shrestha, S., Chaudhary, P., Chaudhary, R.P., 2010. How representative is the protected areas system of Nepal? Mountain Research and Development, 30 (3): 282–294. https://doi.org/10.1659/MRD-JOURNAL-D-10-00019.1
Silveira, L., Jacomo, A.T., Diniz-Filho, J.A.F., 2003. Camera trap, line transect census and track surveys: a comparative evaluation. Biological Conservation, 114 (3): 351–355. https://doi.org/10.1016/S0006-3207(03)00063-6
Singh, V.K., Joshi, B.D., Singh, A., Singh, S.K., Chandra, K., Sharma, L.K., Thakur, M., 2022. Genetic diversity and population structure of the northern red muntjac (Muntiacus vaginalis) in Indian Himalayan region. Mammalian Biology, 82: e242334. 8 p. https://doi.org/10.1590/1519-6984.242334
Team, Q.D., 2022. QGIS Geographic Information System: Open Source Geospatial Foundation Project. [cited 2023-12-14]. http://qgis.osgeo.org
USGS, 2022. Landsat Normalized Difference Vegetation Index. [cit. 2024-01-05]. https://www.usgs.gov/landsat-missions/landsat-normalized-difference-vegetation-index
Watts, S.M., McCarthy, T.M., Namgail, T., 2019. Modelling potential habitat for snow leopards (Panthera uncia) in Ladakh, India. PLoS One, 14 (1): e0211509. DOI: 10. 1371/journal.pone.0211509
Wikramanayake, E.D., Dinerstein, E., Loucks, C.J., 2002. Terrestrial ecoregions of the Indo-Pacific: a conservation assessment. Ecoregions Assessments Series, Vol. 3. Washington D.C.: Island Press. 643 p.
WWF, 2013a. Chitwan-Annapurna landscape: a rapid assessment. Vol. 1. Baluwatar, Kathmandu: WWF Nepal, Hariyo Ban Program.
WWF, 2013b. Chitwan-Annapurna landscape. Biodiversity important areas and linkages. Sharma, U.R. (ed ). Baluwatar, Kathmandu, Nepal: WWF Nepal, Hariyo Ban Program. 61 p. [cit. 2024-02-11]. https://www.wwfnepal.org/
Xu, D., Guo, X., 2014. Compare NDVI extracted from Land-sat 8 imagery with that from Landsat 7 imagery. American Journal of Remote Sensing, 2 (2): 10–14. https://doi.org/10.11648/j.ajrs.20140202.11
Xu, H., 2006. Modification of normalised difference water index (NDWI) to enhance open water features in remotely sensed imagery. International Journal of Remote Sensing, 27 (14): 3025–3033. DOI: 10.1080/0143116060 0589179 https://doi.org/10.1080/0143116060
Yengoh, G.T., Dent, D., Olsson, L., Tengberg, A.E., Tucker III, C.J., 2015. Use of the Normalized Difference Vegetation Index (NDVI) to assess land degradation at multiple scales: current status, future trends, and practical considerations. Sweden: Lund University, Center for Sustainability Studies (LUCSUS), and The Scientific and Technical Advisory Panel of the Global Environment Facility (STAP/GEF). 80 p.
Zha, Y., Gao, J., Ni,S., 2003. Use of normalized difference built-up index in automatically mapping urban areas from TM imagery. International Journal of Remote Sensing, 24 (3): 583–594. https://doi.org/10.1080/01431160304987
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