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Building large-scale spatially explicit models to predict the distribution of suitable habitat patches for the Greater rhea (Rhea americana), a near-threatened species

2010-02-01

Abstract excerpt

We developed large-scale spatially explicit models to predict the distribution of suitable habitat patches for the Greater rhea (Rhea americana), a near-threatened species, in two areas of central Argentina with different land use: a grassland area (ca. 4943km²) mainly devoted to cattle grazing and an agro-ecosystem area (ca. 4006km²) mostly used for crop production. The models were developed using logistic regres...

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Literature Corpus work
36bfffa6-9197-5c69-a58a-8cca64daf15a
DOI
10.1016/j.biocon.2009.10.022
Open publication

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Building large-scale spatially explicit models to predict the distribution of suitable habitat patches for the Greater rhea (Rhea americana), a near-threatened speciesDOI 10.1016/j.biocon.2009.10.022
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