A broad set of climate-related variables were considered for inclusion in a quantitative model, which partitions geographic space into bioclimate regions. Statistical screening produced a subset of relevant bioclimate variables, which were further compacted into fewer independent dimensions using...
Enlace original:
https://cgspace.cgiar.org/handle/10568/52111
Metzger MJ
,
Bunce RGH
,
Jongman RHG
,
Sayre R
,
Trabucco, Antonio
,
Zomer, Robert J.
,
[A high-resolution bioclimate map of the world: a unifying framework for global biodiversity research and monitoring]
,
A high-resolution bioclimate map of the world: a unifying framework for global biodiversity research and monitoring
