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      Landscape Use and Co-Occurrence Patterns of Neotropical Spotted Cats

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          Abstract

          Small felids influence ecosystem dynamics through prey and plant population changes. Although most of these species are threatened, they are accorded one of the lowest research efforts of all felids, and we lack basic information about them. Many felids occur in sympatry, where intraguild competition is frequent. Therefore, assessing the role of interspecific interactions along with the relative importance of landscape characteristics is necessary to understand how these species co-occur in space. Here, we selected three morphologically similar and closely related species of small Neotropical cats to evaluate the roles of interspecific interactions, geomorphometry, environmental, and anthropogenic landscape characteristics on their habitat use. We collected data with camera trapping and scat sampling in a large protected Atlantic forest remnant (35,000 ha). Throughout occupancy modeling we investigated whether these species occur together more or less frequently than would be expected by chance, while dealing with imperfect detection and incorporating possible habitat preferences into the models. We used occupancy as a measure of their habitat use. Although intraguild competition can be an important determinant of carnivore assemblages, in our system, we did not find evidence that one species affects the habitat use of the other. Evidence suggested that proximity to the nature reserve (a more protected area) was a more important driver of Neotropical spotted cats’ occurrence than interspecific interactions or geomorphometry and environmental landscape characteristics—even though our entire study area is under some type of protection. This suggests that small felids can be sensitive to the area protection status, emphasizing the importance of maintaining and creating reserves and other areas with elevated protection for the proper management and conservation of the group.

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          Effectiveness of parks in protecting tropical biodiversity.

          We assessed the impacts of anthropogenic threats on 93 protected areas in 22 tropical countries to test the hypothesis that parks are an effective means to protect tropical biodiversity. We found that the majority of parks are successful at stopping land clearing, and to a lesser degree effective at mitigating logging, hunting, fire, and grazing. Park effectiveness correlates with basic management activities such as enforcement, boundary demarcation, and direct compensation to local communities, suggesting that even modest increases in funding would directly increase the ability of parks to protect tropical biodiversity.
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            A common rule for the scaling of carnivore density.

            Population density in plants and animals is thought to scale with size as a result of mass-related energy requirements. Variation in resources, however, naturally limits population density and may alter expected scaling patterns. We develop and test a general model for variation within and between species in population density across the order Carnivora. We find that 10,000 kilograms of prey supports about 90 kilograms of a given species of carnivore, irrespective of body mass, and that the ratio of carnivore number to prey biomass scales to the reciprocal of carnivore mass. Using mass-specific equations of prey productivity, we show that carnivore number per unit prey productivity scales to carnivore mass near -0.75, and that the scaling rule can predict population density across more than three orders of magnitude. The relationship provides a basis for identifying declining carnivore species that require conservation measures.
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              Tradeoffs of different types of species occurrence data for use in systematic conservation planning.

              Data on the occurrence of species are widely used to inform the design of reserve networks. These data contain commission errors (when a species is mistakenly thought to be present) and omission errors (when a species is mistakenly thought to be absent), and the rates of the two types of error are inversely related. Point locality data can minimize commission errors, but those obtained from museum collections are generally sparse, suffer from substantial spatial bias and contain large omission errors. Geographic ranges generate large commission errors because they assume homogenous species distributions. Predicted distribution data make explicit inferences on species occurrence and their commission and omission errors depend on model structure, on the omission of variables that determine species distribution and on data resolution. Omission errors lead to identifying networks of areas for conservation action that are smaller than required and centred on known species occurrences, thus affecting the comprehensiveness, representativeness and efficiency of selected areas. Commission errors lead to selecting areas not relevant to conservation, thus affecting the representativeness and adequacy of reserve networks. Conservation plans should include an estimation of commission and omission errors in underlying species data and explicitly use this information to influence conservation planning outcomes.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                4 January 2017
                2017
                : 12
                : 1
                : e0168441
                Affiliations
                [1 ]Department of Animal Biology, Universidade Estadual de Campinas (UNICAMP), Campinas, São Paulo, Brazil
                [2 ]Patuxent Wildlife Research Center, U.S. Geological Survey, Laurel, Maryland, United States of America
                [3 ]Department of Biology, Universidade de São Paulo (USP), Ribeirão Preto, São Paulo, Brazil
                [4 ]Spatial Ecology and Conservation lab (LEEC), Department of Ecology, Universidade Estadual de São Paulo (UNESP), Rio Claro, São Paulo, Brazil
                Universidade de Aveiro, PORTUGAL
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                • Conceptualization: MBNR AGC MCR.

                • Formal analysis: MBNR JDN.

                • Funding acquisition: MBNR EZFS.

                • Investigation: MBNR EZFS.

                • Methodology: MBNR JDN AGC MCR.

                • Project administration: MBNR.

                • Resources: EZFS JDN.

                • Supervision: MBNR.

                • Validation: MBNR JDN AGC MCR.

                • Visualization: MBNR MCR.

                • Writing – original draft: MBNR.

                • Writing – review & editing: MBNR JDN AGC MCR EZFS.

                Article
                PONE-D-16-26247
                10.1371/journal.pone.0168441
                5215768
                28052073
                daae99a0-a25c-4400-a123-87a901c19cce

                This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication.

                History
                : 30 June 2016
                : 1 December 2016
                Page count
                Figures: 3, Tables: 4, Pages: 22
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/501100001807, Fundação de Amparo à Pesquisa do Estado de São Paulo;
                Award ID: 2013/07162-6
                Award Recipient : Eleonore Zulnara Freire Setz
                Funded by: funder-id http://dx.doi.org/10.13039/501100002322, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior;
                Award ID: BEX 7497/14-8
                Award Recipient : Mariana Baldy Nagy-Reis
                Funded by: funder-id http://dx.doi.org/10.13039/100007142, Idea Wild;
                Award Recipient : Mariana Baldy Nagy-Reis
                Funded by: funder-id http://dx.doi.org/10.13039/501100003593, Conselho Nacional de Desenvolvimento Científico e Tecnológico;
                Award ID: 305902/2014-8
                Award Recipient : Adriano Garcia Chiarello
                Funded by: funder-id http://dx.doi.org/10.13039/501100003593, Conselho Nacional de Desenvolvimento Científico e Tecnológico;
                Award ID: 312045/2013-1
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100001807, Fundação de Amparo à Pesquisa do Estado de São Paulo;
                Award ID: 2013/50421-2
                Award Recipient :
                MBNR received funding from the Coordination for the Improvement of Higher Education Personnel (CAPES; www.capes.gov.br) and Idea Wild ( www.ideawild.org). EZFS received funding from the São Paulo Research Foundation (FAPESP; grant 2013/07162-6; www.fapesp.br). AGC received funding from The Brazilian Science Council (CNPq; process 305902/2014-8; www.cnpq.br). MCR has been continuously supported by grants and scholarships from The Brazilian Science Council (CNPq; process 312045/2013-1) and São Paulo Research Foundation (FAPESP; grant 2013/50421-2). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
                Organisms
                Animals
                Vertebrates
                Amniotes
                Mammals
                Cats
                Biology and Life Sciences
                Ecology
                Ecosystems
                Forests
                Ecology and Environmental Sciences
                Ecology
                Ecosystems
                Forests
                Ecology and Environmental Sciences
                Terrestrial Environments
                Forests
                Biology and Life Sciences
                Organisms
                Animals
                Vertebrates
                Amniotes
                Mammals
                Cats
                Ocelots
                Ecology and Environmental Sciences
                Conservation Science
                Biology and Life Sciences
                Species Interactions
                Biology and Life Sciences
                Organisms
                Animals
                Vertebrates
                Amniotes
                Mammals
                Eutheria
                Carnivora
                Ecology and Environmental Sciences
                Habitats
                Biology and Life Sciences
                Organisms
                Animals
                Vertebrates
                Amniotes
                Mammals
                Custom metadata
                All relevant data are within the paper and its Supporting Information files.

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