Predicting richness and composition in mountain insect communities at high resolution: a new test of the SESAM framework

Abstract

Methods We compared two community modelling approaches: the classical method of stacking binary prediction obtained from individual species distribution models (binary stacked species distribution models, bS-SDMs), and various implementations of a recent framework (spatially explicit species assemblage modelling, SESAM) based on four steps that integrate the different drivers of the assembly process in a unique modelling procedure. We used: (1) five methods to create bS-SDM predictions; (2) two approaches for predicting species richness, by summing individual SDM probabilities or by modelling the number of species (i.e. richness) directly; and (3) five different biotic rules based either on ranking probabilities from SDMs or on community co-occurrence patterns. Combining these various options resulted in 47 implementations for each taxon.

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Cite this paper

@inproceedings{DAmen2015PredictingRA, title={Predicting richness and composition in mountain insect communities at high resolution: a new test of the SESAM framework}, author={Manuela D’Amen and Jean-Nicolas Pradervand and Antoine Guisan}, year={2015} }