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      No silver bullet? Snow leopard prey selection in Mt. Kangchenjunga, Nepal

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          Abstract

          In this study, we investigated the impact of domestic and wild prey availability on snow leopard prey preference in the Kangchenjunga Conservation Area of eastern Nepal—a region where small domestic livestock are absent and small wild ungulate prey are present. We took a comprehensive approach that combined fecal genetic sampling, macro‐ and microscopic analyses of snow leopard diets, and direct observation of blue sheep and livestock in the KCA. Out of the collected 88 putative snow leopard scat samples from 140 transects (290 km) in 27 (4 × 4 km 2) sampling grid cells, 73 (83%) were confirmed to be from snow leopard. The genetic analysis accounted for 19 individual snow leopards (10 males and 9 females), with a mean population size estimate of 24 (95% CI: 19–29) and an average density of 3.9 snow leopards/100 km 2 within 609 km 2. The total available prey biomass of blue sheep and yak was estimated at 355,236 kg (505 kg yak/km 2 and 78 kg blue sheep/km 2). From the available prey biomass, we estimated snow leopards consumed 7% annually, which comprised wild prey (49%), domestic livestock (45%), and 6% unidentified items. The estimated 47,736 kg blue sheep biomass gives a snow leopard‐to‐blue sheep ratio of 1:59 on a weight basis. The high preference of snow leopard to domestic livestock appears to be influenced by a much smaller available biomass of wild prey than in other regions of Nepal (e.g., 78 kg/km 2 in the KCA compared with a range of 200–300 kg/km 2 in other regions of Nepal). Along with livestock insurance scheme improvement, there needs to be a focus on improved livestock guarding, predator‐proof corrals as well as engaging and educating local people to be citizen scientists on the importance of snow leopard conservation, involving them in long‐term monitoring programs and promotion of ecotourism.

          Abstract

          The genetic analysis accounted for 19 individual snow leopards (10 male and 9 female) with a mean population size estimate of 24 (95% CI: 19–29), and an average density of 3.9 snow leopards/100 km 2 within 609 km 2. From the available prey biomass, we estimated snow leopards consumed 7% annually which was comprised of wild prey (49%), domestic livestock (45%), and 6% unidentified items. The estimated 47,736 kg Blue sheep biomass gives a snow leopard‐Blue sheep ratio of 1: 59 on a weight basis. The proportion of young Blue sheep was estimated at 17%, with an almost double predation rate at 28%.

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          A Technique for Analysis of Utilization-Availability Data

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            Model Selection and Multimodel Inference

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              Bayesian inference in camera trapping studies for a class of spatial capture-recapture models.

              We develop a class of models for inference about abundance or density using spatial capture-recapture data from studies based on camera trapping and related methods. The model is a hierarchical model composed of two components: a point process model describing the distribution of individuals in space (or their home range centers) and a model describing the observation of individuals in traps. We suppose that trap- and individual-specific capture probabilities are a function of distance between individual home range centers and trap locations. We show that the models can be regarded as generalized linear mixed models, where the individual home range centers are random effects. We adopt a Bayesian framework for inference under these models using a formulation based on data augmentation. We apply the models to camera trapping data on tigers from the Nagarahole Reserve, India, collected over 48 nights in 2006. For this study, 120 camera locations were used, but cameras were only operational at 30 locations during any given sample occasion. Movement of traps is common in many camera-trapping studies and represents an important feature of the observation model that we address explicitly in our application.
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                Author and article information

                Contributors
                dreamerhimalaya@gmail.com
                Journal
                Ecol Evol
                Ecol Evol
                10.1002/(ISSN)2045-7758
                ECE3
                Ecology and Evolution
                John Wiley and Sons Inc. (Hoboken )
                2045-7758
                01 November 2021
                December 2021
                : 11
                : 23 ( doiID: 10.1002/ece3.v11.23 )
                : 16413-16425
                Affiliations
                [ 1 ] Tribhuvan University, Institute of Forestry Kritipur Nepal
                [ 2 ] Department of Biochemistry and Biomedical Sciences McMaster University Hamilton Ontario Canada
                [ 3 ] International Union for the Conservation of Nature (IUCN) Kathmandu Nepal
                [ 4 ] Department of National Parks and Wildlife Conservation Kathmandu Nepal
                Author notes
                [*] [* ] Correspondence

                Kamal Thapa, Tribhuvan University, Institute of Forestry, Kritipur, Kathmandu, Nepal.

                Email: dreamerhimalaya@ 123456gmail.com

                Author information
                https://orcid.org/0000-0001-7275-2824
                Article
                ECE38279
                10.1002/ece3.8279
                8668728
                34938445
                7a2d5c23-145f-4911-9fbd-6cd7eb55f1e0
                © 2021 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 25 September 2021
                : 25 January 2021
                : 07 October 2021
                Page count
                Figures: 3, Tables: 6, Pages: 13, Words: 11011
                Funding
                Funded by: WWF International , doi 10.13039/501100005201;
                Award ID: 9Z0533.01
                Categories
                Nature Notes
                Nature Notes
                Custom metadata
                2.0
                December 2021
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.0.9 mode:remove_FC converted:13.12.2021

                Evolutionary Biology
                blue sheep,common leopard,fecal,genetic analysis,snow leopard,wolf,yak
                Evolutionary Biology
                blue sheep, common leopard, fecal, genetic analysis, snow leopard, wolf, yak

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