Jump to ContentJump to Main Navigation
Show Summary Details
More options …

Mammalia

Editor-in-Chief: Denys, Christiane

6 Issues per year


IMPACT FACTOR 2016: 0.805
5-year IMPACT FACTOR: 1.000

CiteScore 2016: 0.89

SCImago Journal Rank (SJR) 2016: 0.469
Source Normalized Impact per Paper (SNIP) 2016: 0.711

Online
ISSN
1864-1547
See all formats and pricing
More options …
Volume 74, Issue 3 (Sep 2010)

Issues

Assessment of Cerdocyon thous distribution in an agricultural mosaic, southeastern Brazil

Katia Maria Paschoaletto Micchi de Barros Ferraz
  • University of São Paulo, Luiz de Queiroz College of Agriculture, Forest Science Department, P.O. Box 09, Piracicaba, São Paulo, 13418-900, Brazil
/ Marinez Ferreira de Siqueira
  • Botanical Garden of Rio de Janeiro, 915, Pacheco Leão Street, Jardim Botânico, Rio de Janeiro, 22460-030, Brazil
/ Paula Sanches Martin
  • University of São Paulo, Luiz de Queiroz College of Agriculture, Forest Science Department, P.O. Box 09, Piracicaba, São Paulo, 13418-900, Brazil
/ Carolina Franco Esteves
  • Univ Estadual Paulista, Biosciences Institute, Department of Ecology, P.O. Box 199, Rio Claro, São Paulo, 13506-900, Brazil
/ Hilton Thadeu Zarate do Couto
  • University of São Paulo, Luiz de Queiroz College of Agriculture, Forest Science Department, P.O. Box 09, Piracicaba, São Paulo, 13418-900, Brazil
Published Online: 2010-08-16 | DOI: https://doi.org/10.1515/mamm.2010.036

Abstract

Crab-eating fox, Cerdocyon thous, is a habitat generalist species relatively common throughout its range inhabiting most environments owing to its low habitat requirements. Because no information is available for anthropogenic habitats, this study aimed to describe the species occurrence in a highly fragmented and heterogeneous landscape in southeastern Brazil. C. thous was surveyed in 95 study sites in four main land covers (native forest, eucalyptus forest, sugar cane and pasture) from April to September 2006. Presence records (n=28) and landscape variables (land cover, heterogeneity, stream and forest fragment distance, elevation and slope) were used for modeling in Maxent. The bootstrapping method was used for sampling 70% of the dataset for training and 30% for testing models. The species was equally distributed in all types of land cover, although it was more frequent in the sugar cane areas and more associated with forest fragments and heterogeneous habitats. The potential distribution model predicted forest patches and its surroundings as highly suitable for the species. It also predicted part of the sugar cane matrix as highly suitable, probably related to prey availability. Results suggested that the anthropogenic landscape studied encompasses many suitable habitats for species occurrence, resulting in the necessity to assess its potential role in vertebrate communities.

Keywords: agroecosystem; habitat generalist species; Maxent; potential distribution; track survey

About the article

Corresponding author


Published Online: 2010-08-16

Published in Print: 2010-09-01


Citation Information: mammalia, ISSN (Online) 1864-1547, ISSN (Print) 0025-1461, DOI: https://doi.org/10.1515/mamm.2010.036.

Export Citation

Comments (0)

Please log in or register to comment.
Log in