Remote sensing data can improve predictions of species richness by stacked species distribution models: a case study for Mexican pines

Remote sensing data can improve predictions of species richness by stacked species distribution models: a case study for Mexican pines

Cord, A. F., Klein, D., Gernandt, D. S., de la Rosa, J. A. P., Dech, S. (2014), Remote sensing data can improve predictions of species richness by stacked species distribution models: a case study for Mexican pines. Journal of Biogeography, 41: 736–748. doi: 10.1111/jbi.12225

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