Global habitat suitability models of terrestrial mammals

Rondinini, Carlo, Di Marco, Moreno, Chiozza, Federica, Santulli, Giulia, Baisero, Daniele, Visconti, Piero, Hoffmann, Michael, Schipper, Jan, Stuart, Simon N., Tognelli, Marcelo F., Amori, Giovanni, Falcucci, Alessandra, Maiorano, Luigi and Boitani, Luigi (2011) Global habitat suitability models of terrestrial mammals. Royal Society of London. Philosophical Transactions B. Biological Sciences, 366 1578: 2633-2641. doi:10.1098/rstb.2011.0113


Author Rondinini, Carlo
Di Marco, Moreno
Chiozza, Federica
Santulli, Giulia
Baisero, Daniele
Visconti, Piero
Hoffmann, Michael
Schipper, Jan
Stuart, Simon N.
Tognelli, Marcelo F.
Amori, Giovanni
Falcucci, Alessandra
Maiorano, Luigi
Boitani, Luigi
Title Global habitat suitability models of terrestrial mammals
Journal name Royal Society of London. Philosophical Transactions B. Biological Sciences   Check publisher's open access policy
ISSN 0962-8436
1471-2970
Publication date 2011-09-27
Year available 2011
Sub-type Article (original research)
DOI 10.1098/rstb.2011.0113
Open Access Status Not yet assessed
Volume 366
Issue 1578
Start page 2633
End page 2641
Total pages 9
Place of publication London, United Kingdom
Publisher The Royal Society Publishing
Language eng
Abstract Detailed large-scale information on mammal distribution has often been lacking, hindering conservation efforts. We used the information from the 2009 IUCN Red List of Threatened Species as a baseline for developing habitat suitability models for 5027 out of 5330 known terrestrial mammal species, based on their habitat relationships. We focused on the following environmental variables: land cover, elevation and hydrological features. Models were developed at 300 m resolution and limited to within species' known geographical ranges. A subset of the models was validated using points of known species occurrence. We conducted a global, fine-scale analysis of patterns of species richness. The richness of mammal species estimated by the overlap of their suitable habitat is on average one-third less than that estimated by the overlap of their geographical ranges. The highest absolute difference is found in tropical and subtropical regions in South America, Africa and Southeast Asia that are not covered by dense forest. The proportion of suitable habitat within mammal geographical ranges correlates with the IUCN Red List category to which they have been assigned, decreasing monotonically from Least Concern to Endangered. These results demonstrate the importance of fine-resolution distribution data for the development of global conservation strategies for mammals.
Keyword Conservation priority setting
Geographical range
Range model
Red List
Species distribution model
Species richness
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collection: School of Geography, Planning and Environmental Management Publications
 
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