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Creator:: Stoklosa, Jakub, Daly, Christopher, Foster, Scott D., Ashcroft, Michael B., and Warton, David I.
Abstract:: 1. Spatial climate variables are routinely used in species distribution models (SDMs) without accounting for the fact that they have been predicted with uncertainty, which can lead to biased estimates, erroneous inference and poor performances when predicting to new settings – for example under climate change scenarios. 2. We show...

Creator:: Stoklosa, Jakub, Daly, Christopher, Foster, Scott D., Ashcroft, Michael B., and Warton, David I.
Abstract:: 1. Spatial climate variables are routinely used in species distribution models (SDMs) without accounting for the fact that they have been predicted with uncertainty, which can lead to biased estimates, erroneous inference and poor performances when predicting to new settings – for example under climate change scenarios. 2. We show...

Creator:: Stoklosa, Jakub, Daly, Christopher, Foster, Scott D., Ashcroft, Michael B., and Warton, David I.
Abstract:: 1. Spatial climate variables are routinely used in species distribution models (SDMs) without accounting for the fact that they have been predicted with uncertainty, which can lead to biased estimates, erroneous inference and poor performances when predicting to new settings – for example under climate change scenarios. 2. We show...
Resource Type:: Article

ScholarsArchive@OSU