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Changing grain size does not equally affect models across regions, techniques, and species types. The strongest effect is on regions and species types, with tree species in the data sets (regions) with highest locational accuracy being most affected.
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The earliest large-scale empirical test of grain-size sensitivity in Species Distribution Models, across five continents and ten modelling techniques. The headline result (grain matters, but its effect is region- and species-dependent) is the baseline that the Climate-DT era now revisits at much finer resolutions than were operationally available in 2007. Cited here as the historical anchor for the resolution-sensitivity argument.
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Anne Fouilloux
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Paper annotation: Changing grain size does not equally affect models across regions, techniques, and species types. The strongest effect is on regions and species types, with tree species in the data sets (regions) with highest locational accuracy being most affected.
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