2011
DOI: 10.1644/10-mamm-a-155.1
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Predicted distributions and ecological niches of 8 civet and mongoose species in Southeast Asia

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Cited by 34 publications
(49 citation statements)
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“…Within these distribution limits, two environmental GIS layers, habitat and elevation, were combined with the occurrence data to predict the areas of occupancy with respect to these two variables, as in Jennings and Veron (2011) . We used a 2010 land cover map (250-m resolution) for Southeast Asia (http:// www.eorc.jaxa.jp/SAFE/LC_MAP/; Miettinen et al 2012 ) that was reclassified to eight cover classes (evergreen forest, peatswamp forest, mangrove, plantation, mosaic, open areas, water and urban).…”
Section: Ecological Niche Modellingmentioning
confidence: 99%
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“…Within these distribution limits, two environmental GIS layers, habitat and elevation, were combined with the occurrence data to predict the areas of occupancy with respect to these two variables, as in Jennings and Veron (2011) . We used a 2010 land cover map (250-m resolution) for Southeast Asia (http:// www.eorc.jaxa.jp/SAFE/LC_MAP/; Miettinen et al 2012 ) that was reclassified to eight cover classes (evergreen forest, peatswamp forest, mangrove, plantation, mosaic, open areas, water and urban).…”
Section: Ecological Niche Modellingmentioning
confidence: 99%
“…Presence-only ecological niche modelling (ENM) can be a useful tool for predicting the distributions of poorly known species in remote and inaccessible regions (Gaubert et al 2006, Papes and Gaubert 2007, Wilting et al 2010, Jennings and Veron 2011, Jenks et al 2012. The outputs of ENM can aid conservation planning by highlighting potential unknown populations and key areas for fieldwork and conservation initiatives (Peterson 2006 , Thorn et al 2009 , Jackson andRobertson 2011 ).…”
Section: Introductionmentioning
confidence: 99%
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“…We used MaxEnt because it performs better than other presence-only modeling techniques (Elith et al 2006 ), especially with low numbers of occurrence locations (Papes and Gaubert 2007 ). This method has been used to develop habitat suitability models for a range of mammals (e.g., DeMatteo and Loiselle 2008 , Monterroso et al 2009, Wilting et al 2010, Jennings and Veron 2011.…”
Section: Distribution Modelingmentioning
confidence: 99%