Data from: Comparison of approaches to combine species distribution models based on different sets of predictors

Romero D, Olivero J, Brito JC, Real R

Date Published: June 16, 2015

DOI: http://dx.doi.org/10.5061/dryad.p352h

 

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Title Data_Description_ECOG-01477_Comparison of approaches to combine species distribution models based on different sets of predictors
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Description Human activities were described using different variables: water bodies (WR, LK, IMAR), population (HPd), distance to highways (Dhi) and land-cover. Land cover layers were processed so that the surface area of each class (PAST, SV, OAKM, CM, OAKW, CW, OLG, DHER, FT, IHER, LW, RW, HE, NM, VIN). Latitude and longitude were used as the spatial variables. Topography was represented by three variables: slope (S), degree of southward exposure (SE), and degree of westward exposure (WE), which were derived from digital elevation models. Climate variables (temperature and precipitation) were obtained from the datasets supplied by the Spanish Institute of Meteorology (Agencia Estatal de Meteorología).
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When using this data, please cite the original publication:

Romero D, Olivero J, Brito JC, Real R (2016) Comparison of approaches to combine species distribution models based on different sets of predictors. Ecography 39(6): 561–571. http://dx.doi.org/10.1111/ecog.01477

Additionally, please cite the Dryad data package:

Romero D, Olivero J, Brito JC, Real R (2015) Data from: Comparison of approaches to combine species distribution models based on different sets of predictors. Dryad Digital Repository. http://dx.doi.org/10.5061/dryad.p352h
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