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Using distance sampling with camera traps to estimate the density of group-living and solitary mountain ungulates
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dc.contributor.author | Pal, Ranjana | |
dc.contributor.author | Bhattacharya, Tapajit | |
dc.contributor.author | Qureshi, Qamar | |
dc.contributor.author | Buckland, Stephen T. | |
dc.contributor.author | Sathyakumar, Sambandam | |
dc.date.accessioned | 2021-05-31T10:30:03Z | |
dc.date.available | 2021-05-31T10:30:03Z | |
dc.date.issued | 2021-04-30 | |
dc.identifier | 274300400 | |
dc.identifier | eab70ea0-d83c-4fb8-a99c-9ffdbd0a1c43 | |
dc.identifier | 85105198594 | |
dc.identifier | 000692754900017 | |
dc.identifier.citation | Pal , R , Bhattacharya , T , Qureshi , Q , Buckland , S T & Sathyakumar , S 2021 , ' Using distance sampling with camera traps to estimate the density of group-living and solitary mountain ungulates ' , Oryx , vol. FirstView . https://doi.org/10.1017/S003060532000071X | en |
dc.identifier.issn | 0030-6053 | |
dc.identifier.other | ORCID: /0000-0002-9939-709X/work/95041844 | |
dc.identifier.uri | https://hdl.handle.net/10023/23281 | |
dc.description | This work is part of a project initiated under the National Mission for Sustaining the Himalayan Ecosystem (NMSHE) Programme funded by the Department of Science and Technology, Government of India (grant no.: DST/SPLICE/CCP/NMSHE/TF-2/WII/2014[G]). The Miriam Rothschild Travel Bursary Programme provided funding for a 4-week internship for R. Pal with S.T. Buckland at St Andrews University, UK. | en |
dc.description.abstract | Throughout the Himalaya, mountain ungulates are threatened by hunting for meat and body parts, habitat loss, and competition with livestock. Accurate population estimates are important for conservation management but most of the available methods to estimate ungulate densities are difficult to implement in mountainous terrain. Here, we tested the efficacy of the recent extension of the point transect method, using camera traps for estimating density of two mountain ungulates: the group-living Himalayan blue sheep or bharal Pseudois nayaur and the solitary Himalayan musk deer Moschus leucogaster. We deployed camera traps in 2017-2018 for the bharal (summer: 21 locations; winter: 25) in the trans-Himalayan region (3,000-5,000 m) and in 2018-2019 for the musk deer (summer: 30 locations; winter: 28) in subalpine habitats (2,500-3,500 m) in the Upper Bhagirathi basin, Uttarakhand, India. Using distance sampling with camera traps, we estimated the bharal population to be 0.51 ± SE 0.1 individuals/km2 (CV = 0.31) in summer and 0.64 ± SE 0.2 individuals/km2 (CV = 0.37) in winter. For musk deer, the estimated density was 0.4 ± SE 0.1 individuals/km2 (CV = 0.34) in summer and 0.1 ± SE 0.05 individuals/km2 (CV = 0.48) in winter. The high variability in these estimates is probably a result of the topography of the landscape and the biology of the species. We discuss the potential application of distance sampling with camera traps to estimate the density of mountain ungulates in remote and rugged terrain, and the limitations of this method. | |
dc.format.extent | 9 | |
dc.format.extent | 690290 | |
dc.language.iso | eng | |
dc.relation.ispartof | Oryx | en |
dc.subject | Bharal | en |
dc.subject | Camera trapping | en |
dc.subject | Density estimates | en |
dc.subject | Musk deer | en |
dc.subject | Point transect method | en |
dc.subject | Subalpine | en |
dc.subject | Trans-Himalaya | en |
dc.subject | Upper Bhagirathi basin | en |
dc.subject | QH301 Biology | en |
dc.subject | GE Environmental Sciences | en |
dc.subject | Ecology, Evolution, Behavior and Systematics | en |
dc.subject | Nature and Landscape Conservation | en |
dc.subject | NDAS | en |
dc.subject.lcc | QH301 | en |
dc.subject.lcc | GE | en |
dc.title | Using distance sampling with camera traps to estimate the density of group-living and solitary mountain ungulates | en |
dc.type | Journal article | en |
dc.contributor.institution | University of St Andrews. School of Mathematics and Statistics | en |
dc.contributor.institution | University of St Andrews. Scottish Oceans Institute | en |
dc.contributor.institution | University of St Andrews. St Andrews Sustainability Institute | en |
dc.contributor.institution | University of St Andrews. Centre for Research into Ecological & Environmental Modelling | en |
dc.contributor.institution | University of St Andrews. Marine Alliance for Science & Technology Scotland | en |
dc.identifier.doi | https://doi.org/10.1017/S003060532000071X | |
dc.description.status | Peer reviewed | en |
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