Using species distribution models to predict potential landscape restoration effects on puma conservation

Silva Angelieri, Cintia Camila, Adams-Hosking, Christine, de Barros Ferraz, Katia Maria Paschoaletto Micchi, de Souza, Marcelo Pereira and McAlpine, Clive Alexander (2016) Using species distribution models to predict potential landscape restoration effects on puma conservation. PLoS ONE, 11 1: . doi:10.1371/journal.pone.0145232

Author Silva Angelieri, Cintia Camila
Adams-Hosking, Christine
de Barros Ferraz, Katia Maria Paschoaletto Micchi
de Souza, Marcelo Pereira
McAlpine, Clive Alexander
Title Using species distribution models to predict potential landscape restoration effects on puma conservation
Journal name PLoS ONE   Check publisher's open access policy
ISSN 1932-6203
Publication date 2016-01-06
Sub-type Article (original research)
DOI 10.1371/journal.pone.0145232
Open Access Status DOI
Volume 11
Issue 1
Total pages 18
Place of publication San Francisco, CA, United States
Publisher Public Library of Science
Language eng
Subject 1300 Biochemistry, Genetics and Molecular Biology
1100 Agricultural and Biological Sciences
Abstract A mosaic of intact native and human-modified vegetation use can provide important habitat for top predators such as the puma (Puma concolor), avoiding negative effects on other species and ecological processes due to cascade trophic interactions. This study investigates the effects of restoration scenarios on the puma’s habitat suitability in the most developed Brazilian region (São Paulo State). Species Distribution Models incorporating restoration scenarios were developed using the species’ occurrence information to (1) map habitat suitability of pumas in São Paulo State, Southeast, Brazil; (2) test the relative contribution of environmental variables ecologically relevant to the species habitat suitability and (3) project the predicted habitat suitability to future native vegetation restoration scenarios. The Maximum Entropy algorithm was used (Test AUC of 0.84 ± 0.0228) based on seven environmental non-correlated variables and non-autocorrelated presence-only records (n = 342). The percentage of native vegetation (positive influence), elevation (positive influence) and density of roads (negative influence) were considered the most important environmental variables to the model. Model projections to restoration scenarios reflected the high positive relationship between pumas and native vegetation. These projections identified new high suitability areas for pumas (probability of presence >0.5) in highly deforested regions. High suitability areas were increased from 5.3% to 8.5% of the total State extension when the landscapes were restored for ≥ the minimum native vegetation cover rule (20%) established by the Brazilian Forest Code in private lands. This study highlights the importance of a landscape planning approach to improve the conservation outlook for pumas and other species, including not only the establishment and management of protected areas, but also the habitat restoration on private lands. Importantly, the results may inform environmental policies and land use planning in São Paulo State, Brazil.
Q-Index Code C1
Q-Index Status Provisional Code
Grant ID 11/11091-1
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: School of Geography, Planning and Environmental Management Publications
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Citation counts: TR Web of Science Citation Count  Cited 18 times in Thomson Reuters Web of Science Article | Citations
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