Please use this identifier to cite or link to this item: https://www.arca.fiocruz.br/handle/icict/10110
Title: Combining environmental suitability and habitat connectivity to maprare or Data Deficient species in the Tropics
Authors: Teixeira, Tiago S. M
Weber, Marcelo M
Dias, Daniela
Lorini, Maria Lucia
Esbérard, Carlos Eduardo L
Novaes, Roberto L. M
Cerqueira, Rui
Vale, Mariana M
Affilliation: Universidade Federal do Rio de Janeiro. Departamento de Ecologia. Rio de Janeiro, RJ, Brasil / Universidade do Estado do Rio de Janeiro. Programa de Pós-Graduação em Ecologia e Evolução. Rio de Janeiro, RJ, Brasil.
Universidade Federal do Rio de Janeiro. Departamento de Ecologia. Programa de Pós-Graduação em Ecologia. Rio de Janeiro, RJ, Brasil
Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Biologia e Parasitologia de Mamíferos Silvestres de Reservatórios. Rio de Janeiro, RJ, Brasil.
Universidade Federal do Estado do Rio de Janeiro. Departamento de Ciências Naturais. Rio de Janeiro, RJ, Brasil.
Universidade Federal Rural do Rio de Janeiro. Departamento de Biologia Animal. Seropédica, RJ, Brasil.
Fundação Oswaldo Cruz. Campus Fiocruz da Mata Atlântica. Rio de Janeiro, RJ, Brasil
Universidade Federal do Rio de Janeiro. Departamento de Ecologia. Rio de Janeiro, RJ, Brasil.
Universidade Federal do Rio de Janeiro. Departamento de Ecologia. Rio de Janeiro, RJ, Brasil
Abstract: The IUCN Red List is a widely accepted system for classifying species’ risk of extinction, based on quantitative criteria. Although IUCN discourages the liberal use of the category “Data Deficient” (DD), most assessed groups have a large number of their species assigned to this category, especially in the Tropics. Therefore, DD species can introduce considerable uncertainty into estimates of proportions of threatened species, and research focused on elucidating the true status of those species should be a priority. Here we propose a simple method to gather information on geographic distribution and guide the search for new populations of rare, small-ranged, forest species, using the literature, online data, and standard GIS procedures. The method involves: (i) creating a geographic distribution model; (ii) selecting the environmentally suitable sites from that model; (iii) removing sites that have lost natural vegetation; and (iv) removing habitat networks that are too small and/or isolated, based on thresholds established from known occurrence records and the literature for ecologically similar species. As a case study, we use Lonchophylla peracchii, a recently described forest-dependent bat endemic to southeastern Brazil. We found that environmentally suitable sites for L. peracchii are already heavily deforested, confirming habitat loss as a major threat. Importantly, we identified five priority sites to search for the species outside of its currently known distribution. From that, we discuss its likely status based on IUCN's Criterion B2 (Extent of Occurrence). This method could be useful for other poorly known forest species, especially in the Tropics where most of these species are, and funding for research and fieldwork is scarcest. Currently there are 1910 terrestrial vertebrates in tropical forest worldwide classified as DD that could be evaluated using this method, provided that they have at least 5–10 occurrence records.
Keywords: Atlantic Forest
Brazil
Chiroptera
Connectivity
Conservation status
IUCN
Lonchophylla peracchit
Species distribution modelling
Keywords in spanish: Quirópteros
Brasil
Mata Atlântica
keywords: Mata Atlântica
Brasil
Quirópteros
DeCS: Quirópteros
Issue Date: 2014
Publisher: ScienceDirect
Citation: TEIXEIRA, Tiago S. M et al. Combining environmental suitability and habitat connectivity to maprare or Data Deficient species in the Tropics. Journal for Nature Conservation, n. 22, p.384–390, 2014.
DOI: 10.1016/j.jnc.2014.04.001
ISSN: 1617-1381
Copyright: restricted access
Appears in Collections:Fiocruz Mata Atlântica - Artigos de Periódicos
IOC - Artigos de Periódicos

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