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      Elusive cats in our backyards: persistence of the North Chinese leopard ( Panthera pardus japonensis) in a human‐dominated landscape in central China

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          Abstract

          The North Chinese leopard ( Panthera pardus japonensis), the least‐known big cat, disappeared in most historical range for decades, following the development of modern civilization. Unfortunately, we have scarce knowledge about the status of this big cat so far, apart from anecdotal reports. In this study, we investigated density, distribution, and habitat use of the leopard, the apex predator, in a complex forest landscape in the Loess Plateau. We used a camera‐trapping network to obtain population estimates for leopards over 2 years through spatially explicit capture–recapture models. Our results, based on maximum likelihood and Bayesian/MCMC methods, reveal that the largest wild population of the leopard was found widely distributed in remnant forests in central Loess plateau. The population is increasing in our study area, and the density of leopards (1.70 (SE = 0.48) − 2.40 (SE = 0.67)/100 km 2) is higher than other areas of China. According to the analysis of 2 seasonal occupancy models, prey species drive partially the leopard habitat use, predicting that the big cat thrives from the recovery of prey community. However, human disturbances, especially oil wells, seem to have negative impacts on the habitat use of leopards. Specifically, it is necessary to have joint efforts by the government and researchers to improve human disturbances management and prey species population density, as well as strengthen the investment in research on the North Chinese leopard, which could all further strengthen protection ability and ensure the long‐term survival of this species.

          Abstract

          The study revealed a wild population of free‐ranging leopards with the highest density in China so far, which also provided the first comprehensive evidence documenting the status of the North Chinese leopard, the rarest known leopard subspecies. The big cat is living in a human‐dominated landscape and still negatively influenced by human associated activities.

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          ESTIMATING SITE OCCUPANCY RATES WHEN DETECTION PROBABILITIES ARE LESS THAN ONE

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            Status and ecological effects of the world's largest carnivores.

            Large carnivores face serious threats and are experiencing massive declines in their populations and geographic ranges around the world. We highlight how these threats have affected the conservation status and ecological functioning of the 31 largest mammalian carnivores on Earth. Consistent with theory, empirical studies increasingly show that large carnivores have substantial effects on the structure and function of diverse ecosystems. Significant cascading trophic interactions, mediated by their prey or sympatric mesopredators, arise when some of these carnivores are extirpated from or repatriated to ecosystems. Unexpected effects of trophic cascades on various taxa and processes include changes to bird, mammal, invertebrate, and herpetofauna abundance or richness; subsidies to scavengers; altered disease dynamics; carbon sequestration; modified stream morphology; and crop damage. Promoting tolerance and coexistence with large carnivores is a crucial societal challenge that will ultimately determine the fate of Earth's largest carnivores and all that depends upon them, including humans.
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              Spatially explicit maximum likelihood methods for capture-recapture studies.

              Live-trapping capture-recapture studies of animal populations with fixed trap locations inevitably have a spatial component: animals close to traps are more likely to be caught than those far away. This is not addressed in conventional closed-population estimates of abundance and without the spatial component, rigorous estimates of density cannot be obtained. We propose new, flexible capture-recapture models that use the capture locations to estimate animal locations and spatially referenced capture probability. The models are likelihood-based and hence allow use of Akaike's information criterion or other likelihood-based methods of model selection. Density is an explicit parameter, and the evaluation of its dependence on spatial or temporal covariates is therefore straightforward. Additional (nonspatial) variation in capture probability may be modeled as in conventional capture-recapture. The method is tested by simulation, using a model in which capture probability depends only on location relative to traps. Point estimators are found to be unbiased and standard error estimators almost unbiased. The method is used to estimate the density of Red-eyed Vireos (Vireo olivaceus) from mist-netting data from the Patuxent Research Refuge, Maryland, U.S.A. Estimates agree well with those from an existing spatially explicit method based on inverse prediction. A variety of additional spatially explicit models are fitted; these include models with temporal stratification, behavioral response, and heterogeneous animal home ranges.
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                Author and article information

                Contributors
                fenglimin@bnu.edu.cn
                Journal
                Integr Zool
                Integr Zool
                10.1111/(ISSN)1749-4877
                INZ2
                Integrative Zoology
                John Wiley and Sons Inc. (Hoboken )
                1749-4869
                1749-4877
                15 September 2020
                January 2021
                : 16
                : 1 ( doiID: 10.1111/inz2.v16.1 )
                : 67-83
                Affiliations
                [ 1 ] National Forestry and Grassland Administration Amur Tiger and Amur Leopard Monitoring and Research Center Northeast Tiger and Leopard Biodiversity National Observation and Research Station Ministry of Education Key Laboratory for Biodiversity Science and Engineering College of Life Sciences Beijing Normal University Beijing China
                [ 2 ] Behavioural Ecology Group, Section for Ecology and Evolution, Department of Biology University of Copenhagen Denmark
                Author notes
                [*] [* ] Correspondence: Limin Feng, No. 19, Xinjiekouwai Street, Haidian District, Beijing 100875, P. R. China.

                Email: fenglimin@ 123456bnu.edu.cn

                [*]

                These authors contributed equally to this work and should be considered joint first authors.

                Author information
                https://orcid.org/0000-0001-9526-1681
                Article
                INZ212482
                10.1111/1749-4877.12482
                7820953
                32822100
                7f624874-fc3a-4bb6-b495-7795292475ec
                © 2020 The Authors. Integrative Zoology published by International Society of Zoological Sciences, Institute of Zoology/Chinese Academy of Sciences and John Wiley & Sons Australia, Ltd.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.

                History
                Page count
                Figures: 4, Tables: 5, Pages: 17, Words: 9653
                Funding
                Funded by: National Natural Science Foundation of China , open-funder-registry 10.13039/501100001809;
                Award ID: 31670537
                Award ID: 31200410
                Funded by: National Scientific and Technical Foundation Project of China
                Award ID: 2012FY112000
                Funded by: Cyrus Tang Foundation , open-funder-registry 10.13039/100012515;
                Funded by: Doctoral Fund of Ministry of Education of China
                Award ID: 2019M653714
                Categories
                Original Article
                Special Subsection: Animal Ecology
                Original Articles
                Custom metadata
                2.0
                January 2021
                Converter:WILEY_ML3GV2_TO_JATSPMC version:5.9.6 mode:remove_FC converted:22.01.2021

                habitat use,north chinese leopard,occupancy,population size,spatially explicit capture–recapture

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