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shifting sands machine learning e amples in

2016225ensp enspshifting their climatic niche along three nonexclusive axes time eg phenology space eg range and self eg physiol ogy Then we present the principal specificities and caveats of the most common approaches used to estimate future biodi versity at global and subcontinental scales and we synthesize their results

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