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      Leopard and spotted hyena densities in the Lake Mburo National Park, southwestern Uganda

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          Abstract

          Robust measures of animal densities are necessary for effective wildlife management. Leopards ( Panthera pardus) and spotted hyenas ( Crocuta Crocuta) are higher order predators that are data deficient across much of their East African range and in Uganda, excepting for one peer-reviewed study on hyenas, there are presently no credible population estimates for these species. A lack of information on the population status and even baseline densities of these species has ramifications as leopards are drawcards for the photo-tourism industry, and along with hyenas are often responsible for livestock depredations from pastoralist communities. Leopards are also sometimes hunted for sport. Establishing baseline density estimates for these species is urgently needed not only for population monitoring purposes, but in the design of sustainable management offtakes, and in assessing certain conservation interventions like financial compensation for livestock depredation. Accordingly, we ran a single-season survey of these carnivores in the Lake Mburo National Park of south-western Uganda using 60 remote camera traps distributed in a paired format at 30 locations. We analysed hyena and leopard detections under a Bayesian spatially explicit capture-recapture (SECR) modelling framework to estimate their densities. This small national park (370 km 2) is surrounded by Bahima pastoralist communities with high densities of cattle on the park edge (with regular park incursions). Leopard densities were estimated at 6.31 individuals/100 km 2 (posterior SD = 1.47, 95% CI [3.75–9.20]), and spotted hyena densities were 10.99 individuals/100 km 2, but with wide confidence intervals (posterior SD = 3.35, 95% CI [5.63–17.37]). Leopard and spotted hyena abundance within the boundaries of the national park were 24.87 (posterior SD 7.78) and 39.07 individuals (posterior = SD 13.51) respectively. Leopard densities were on the middle end of SECR studies published in the peer-reviewed literature over the last 5 years while spotted hyena densities were some of the first reported in the literature using SECR, and similar to a study in Botswana which reported 11.80 spotted hyenas/100 km 2. Densities were not noticeably lower at the park edge, and in the southwest of our study site, despite repeated cattle incursions into these areas. We postulate that the relatively high densities of both species in the region could be owed to impala Aepyceros melampus densities ranging from 16.6–25.6 impala/km 2. Another, potential explanatory variable (albeit a speculative one) is the absence of interspecific competition from African lions ( Panthera leo), which became functionally extinct (there is only one male lion present) in the park nearly two decades ago. This study provides the first robust population estimate of these species anywhere in Uganda and suggests leopards and spotted hyenas continue to persist in the highly modified landscape of Lake Mburo National Park.

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          Inference from Iterative Simulation Using Multiple Sequences

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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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              Program MARK: survival estimation from populations of marked animals

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                Author and article information

                Contributors
                Journal
                PeerJ
                PeerJ
                PeerJ
                PeerJ
                PeerJ Inc. (San Diego, USA )
                2167-8359
                27 January 2022
                2022
                : 10
                : e12307
                Affiliations
                [1 ]School of Environmental Science and Engineering , Southern University of Science and Technology, Shenzhen, China
                [2 ]Resilient Conservation Group, Centre for Planetary Health and Food Security, Griffith University , Nathan, Queensland, Australia
                [3 ]School of Natural Resource Management, Nelson Mandela University, George Campus , George, Western Cape, South Africa
                [4 ]Mihingo Lodge , Kampala, Uganda
                [5 ]Wildlife Research and Nature Conservation Foundation (WRNCF) , Colombo, Sri Lanka
                [6 ]School of Earth and Sustainability. Northern Arizona University , Flagstaff, Az, USA
                [7 ]Centre for Complex Systems in Transition, School of Public Leadership , Stellenbosch University, Stellenbosch, South Africa
                [8 ]School of Biological Science, The University of Queensland , Brisbane, Queensland
                [9 ]Department of Evolutionary Ecology, Leibniz Institute for Zoo and Wildlife Research , Berlin, Germany
                [10 ]Wyoming Cooperative Fish and Wildlife Research Unit, Department of Zoology and Physiology, University of Wyoming , Laramie, Wyoming, United States
                [11 ]Centre for Functional Biodiversity, School of Life Sciences, University of KwaZulu-Natal , Durban, KwaZulu-Natal, South Africa
                Author information
                http://orcid.org/0000-0003-3482-799X
                http://orcid.org/0000-0003-4193-7150
                Article
                12307
                10.7717/peerj.12307
                8801179
                35127275
                7cd095ca-3a9d-4203-8fd9-d09967ca87f0
                © 2022 Braczkowski et al.

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.

                History
                : 16 March 2021
                : 22 September 2021
                Funding
                Funded by: Scientific Exploration Society
                Funded by: Rufford Foundation
                Funded by: Mihingo Lodge
                Funded by: Siemiatkowski Foundation
                The Scientific Exploration Society, Rufford Foundation, Mihingo Lodge, and the Siemiatkowski Foundation funded Alex Braczkowski while he was in the field. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Conservation Biology
                Ecology
                Zoology

                panthera pardus,crocuta crocuta,spatially explicit capture-recapture,population size,east africa,human-carnivore conflict

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