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Linda Camathias, Ariel Bergamini, Meinrad Küchler, Silvia Stofer and Andri Baltensweiler High-resolution remote sensing data improves models of species richness Applied Vegetation Science 16

Article first published online: 29 JAN 2013 | DOI: 10.1111/avsc.12028

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We studied if predictors derived from high resolution remote sensing data can improve models of species richness. We found that such predictors substantially improved species richness models. Improvement, however, depended on biogeographic regions and the species group considered. We concluded that high-resolution predictors excellently complement more commonly used coarser-scaled predictors as they are available over large areas at low cost.

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