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Low-resolution predictors are usually sufficient for species associated with fairly common environmental conditions but not for species associated with less common ones (e.g. common vs rare land cover category). This is because coarsening the resolution reduces variability within heterogeneous predictors and leads to underrepresentation of rare environments, which can lead to a decrease in model performance.
https://doi.org/10.1177/03091333231156362
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Moudrý et al.'s review states explicitly that coarse-resolution predictors are NOT sufficient for species tied to rare environments. Pyrenean Bombus specialists are exactly such a population. The review notes the still-open gap that few studies manipulate predictor AND response resolution simultaneously, which the DestinE Climate DT era now makes operationally tractable.
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Anne Fouilloux
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Paper annotation: Low-resolution predictors are usually sufficient for species associated with fairly common environmental conditions but not for species associated with less common ones (e.g. common vs rare land cover category). This is because coarsening the resolution reduces variability within heterogeneous predictors and leads to underrepresentation of rare environments, which can lead to a decrease in model performance.
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