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      Potential risk zone for anthropogenic mortality of carnivores in Gandaki Province, Nepal

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          Abstract

          Anthropogenic pressures in human‐dominated landscapes often contribute to wildlife mortality. Carnivores are especially vulnerable to human‐induced mortality due to the perceived threat to livestock and humans. Despite having widespread conservation implications, carnivore mortality data have been largely underutilized within Nepal. This study utilized Maxent to identify high‐risk areas and explore the contribution of habitat attributes associated with carnivore mortality using the casualty database within the Gandaki province of central Nepal. We categorized the risk to carnivore species in three taxonomic groups, Felid, Viverridae, and Herpestidae, and identified a 3704‐km 2 area within the province at high risk for carnivore casualty. The middle mountains were the riskiest physiographic zone, and the Annapurna Conservation Area represented the largest risk zone among the four protected areas. Agricultural land was the most problematic area in terms of carnivore casualty. The human population was positively associated with high‐risk areas and the number of casualties, whereas protected area cover had a negative association. This study identified that the common leopard was at the highest risk of mortality and therefore would benefit from the implementation of an action plan and species‐specific conservation strategies, especially within identified high‐risk zones. An expansion of protected areas in the middle mountain region would serve to greatly reduce carnivore casualty. Species distribution modeling can be further used with national‐level spatial and temporal mortality data to identify the most prominent casualty times and pinpoint potential casualty locations throughout the country.

          Abstract

          In this study, maximum entropy model was used to identify high‐risk areas and explore the contribution of habitat attributes associated with carnivore mortality using the casualty database within the Gandaki province of central Nepal. We identified a 3704‐km 2 area within the province at high risk for carnivore casualty. This study identified that the common leopard was at the highest risk of mortality and therefore would benefit from the implementation of an action plan and species‐specific conservation strategies, especially within identified high‐risk zones.

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          Maximum entropy modeling of species geographic distributions

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            High-resolution global maps of 21st-century forest cover change.

            Quantification of global forest change has been lacking despite the recognized importance of forest ecosystem services. In this study, Earth observation satellite data were used to map global forest loss (2.3 million square kilometers) and gain (0.8 million square kilometers) from 2000 to 2012 at a spatial resolution of 30 meters. The tropics were the only climate domain to exhibit a trend, with forest loss increasing by 2101 square kilometers per year. Brazil's well-documented reduction in deforestation was offset by increasing forest loss in Indonesia, Malaysia, Paraguay, Bolivia, Zambia, Angola, and elsewhere. Intensive forestry practiced within subtropical forests resulted in the highest rates of forest change globally. Boreal forest loss due largely to fire and forestry was second to that in the tropics in absolute and proportional terms. These results depict a globally consistent and locally relevant record of forest change.
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              A protocol for data exploration to avoid common statistical problems

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                Author and article information

                Contributors
                bnayadh@gmail.com
                Journal
                Ecol Evol
                Ecol Evol
                10.1002/(ISSN)2045-7758
                ECE3
                Ecology and Evolution
                John Wiley and Sons Inc. (Hoboken )
                2045-7758
                12 January 2022
                January 2022
                : 12
                : 1 ( doiID: 10.1002/ece3.v12.1 )
                : e8491
                Affiliations
                [ 1 ] Institute of Forestry Tribhuvan University Pokhara Nepal
                [ 2 ] Pokhara Zoological Park & Wildlife Rescue Center Kaski Nepal
                [ 3 ] Division Forest Office Kaski Nepal
                [ 4 ] School of Natural and Computational Science Massey University Auckland New Zealand
                [ 5 ] Morgan State University Baltimore Maryland USA
                [ 6 ] Department of Anthrozoology University of Exeter Exeter UK
                [ 7 ] Food and Agricultural Organization Kathmandu Nepal
                [ 8 ] Ministry of Forest, Environment and Soil Conservation Pokhara Nepal
                Author notes
                [*] [* ] Correspondence

                Binaya Adhikari, Institute of Forestry, Tribhuvan University, Pokhara, Kaski, Nepal.

                Email: bnayadh@ 123456gmail.com

                Author information
                https://orcid.org/0000-0002-1777-5879
                https://orcid.org/0000-0003-2933-4883
                https://orcid.org/0000-0002-4747-3257
                https://orcid.org/0000-0002-1502-7711
                Article
                ECE38491
                10.1002/ece3.8491
                8809436
                35136552
                891f9125-c055-40b6-a0c3-7fcec5335e0d
                © 2022 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
                : 16 November 2021
                : 27 August 2021
                : 07 December 2021
                Page count
                Figures: 7, Tables: 6, Pages: 0, Words: 10845
                Categories
                Research Article
                Research Articles
                Custom metadata
                2.0
                January 2022
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.1.1 mode:remove_FC converted:02.02.2022

                Evolutionary Biology
                casualty,conflict,death,human,leopard,wildlife
                Evolutionary Biology
                casualty, conflict, death, human, leopard, wildlife

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