Global habitat suitability models of terrestrial mammals (Articolo in rivista)

Type
Label
  • Global habitat suitability models of terrestrial mammals (Articolo in rivista) (literal)
Anno
  • 2011-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1098/rstb.2011.0113 (literal)
Alternative label
  • Rondinini, C (Rondinini, Carlo)[ 1 ] ; Di Marco, M (Di Marco, Moreno)[ 1 ] ; Chiozza, F (Chiozza, Federica)[ 1 ] ; Santulli, G (Santulli, Giulia)[ 1 ] ; Baisero, D (Baisero, Daniele)[ 1 ] ; Visconti, P (Visconti, Piero)[ 1,2 ] ; Hoffmann, M (Hoffmann, Michael)[ 3,4 ] ; Schipper, J (Schipper, Jan)[ 6 ] ; Stuart, SN (Stuart, Simon N.)[ 3,4,7,8 ] ; Tognelli, MF (Tognelli, Marcelo F.)[ 5,9 ] ; Amori, G (Amori, Giovanni)[ 10 ] ; Falcucci, A (Falcucci, Alessandra)[ 1 ] ; Maiorano, L (Maiorano, Luigi)[ 1,11 ] ; Boitani, L (Boitani, Luigi)[ 1 ] (2011)
    Global habitat suitability models of terrestrial mammals
    in Philosophical transactions - Royal Society. Biological sciences (Print)
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Rondinini, C (Rondinini, Carlo)[ 1 ] ; Di Marco, M (Di Marco, Moreno)[ 1 ] ; Chiozza, F (Chiozza, Federica)[ 1 ] ; Santulli, G (Santulli, Giulia)[ 1 ] ; Baisero, D (Baisero, Daniele)[ 1 ] ; Visconti, P (Visconti, Piero)[ 1,2 ] ; Hoffmann, M (Hoffmann, Michael)[ 3,4 ] ; Schipper, J (Schipper, Jan)[ 6 ] ; Stuart, SN (Stuart, Simon N.)[ 3,4,7,8 ] ; Tognelli, MF (Tognelli, Marcelo F.)[ 5,9 ] ; Amori, G (Amori, Giovanni)[ 10 ] ; Falcucci, A (Falcucci, Alessandra)[ 1 ] ; Maiorano, L (Maiorano, Luigi)[ 1,11 ] ; Boitani, L (Boitani, Luigi)[ 1 ] (literal)
Pagina inizio
  • 2633 (literal)
Pagina fine
  • 2641 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#altreInformazioni
  • ID_PUMA : cnr.ise/2011-A0-053 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 366 (literal)
Rivista
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo
  • 1578 (literal)
Note
  • ISI Web of Science (WOS) (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • [ 1 ] Univ Roma La Sapienza, Global Mammal Assessment Programme, Dept Biol & Biotechnol, I-00185 Rome, Italy [ 2 ] James Cook Univ, ARC Ctr Excellence Coral Reef Studies, Townsville, Qld 4811, Australia [ 3 ] IUCN, CH-1196 Gland, Switzerland [ 4 ] World Conservat Monitoring Ctr, United Nations Environm Programme, Cambridge CB3 0DL, England [ 5 ] Conservat Int, IUCN CI Biodivers Assessment Unit, Arlington, VA 22202 USA [ 6 ] Big Isl Invas Species Comm, Hilo, HI 96720 USA [ 7 ] Univ Bath, Dept Biol & Biochem, Bath BA2 7AY, Avon, England [ 8 ] Al Ain Wildlife Pk & Resort, Abu Dhabi, U Arab Emirates [ 9 ] CONICET CCT Mendoza, Inst Argentino Invest Zonas Aridas, RA-5500 Mendoza, Argentina [ 10 ] CNR, Inst Ecosyst Studies, I-00185 Rome, Italy [ 11 ] Univ Lausanne, Dept Ecol & Evolut, CH-1015 Lausanne, Switzerland (literal)
Titolo
  • Global habitat suitability models of terrestrial mammals (literal)
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. (literal)
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