Making robust projections of species distributions at fine resolution: Go spatially-nested |
[ad_1] Antoine Guisan, University of Lausanne, Switzerland, discusses his article: Spatially-nested species distribution models (N-SDM): An effective tool to overcome niche truncation for better inference and projections Setting the scene Species distribution models (SDMs) relate species observations to mapped environmental conditions to estimate the ecological niche (i.e., the ensemble of suitable conditions) and predict the spatial […]
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