Bioclimatic models are the primary tools for simulating the impact of climate change on species distributions. Part of the uncertainty in the output of these models results from uncertainty in projections of future climates. To account for this, studies often simulate species responses to climates predicted by more than one climate model and/or emission scenario. One area of uncertainty, however, has remained unexplored: internal climate model variability. By running a single climate model multiple times, but each time perturbing the initial state of the model slightly, different but equally valid realizations of climate will be produced. In this paper, we identify how ongoing improvements in climate models can...
Categories: Publication;
Types: Citation,
Journal Citation;
Tags: Blackwell Publishing,
Global Change Biology,
bioclimatic modelling,
climate change,
climate models, All tags...
projected distributions,
quantifying uncertainty,
realizations,
within-model variability, Fewer tags
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