Robin Pouteau

TL;DR: The “ssdm” package is a computer platform providing a range of methodological approaches and parameterisation at each step in building the SSDM: e.g. pseudo-absence selection, variable contribution and model accuracy assessment, inter-model consensus forecasting, species assembly design, and calculation of weighted endemism.

TL;DR: In this article, the authors explored how regional and landscape-scale features influence night frost occurrence in the southern altiplano of Bolivia and compared multiple regression (MR) and boosted regression trees (BRT).

TL;DR: The results show that SVM slight but constantly outperforms RF in predicting the distribution of rare species based on the kappa coefficient and the area under the curve (AUC) achieved by both classifiers.

TL;DR: Drought-induced xylem embolism vulnerability behaves as a physiological trait closely associated with the habitat occupation of rain forest woody species, and stands out among other commonly used functional traits as a major driver of species environmental distribution.

TL;DR: The first broad-scale assessment of stem vs. crown scaling exponents using measurements of bole diameter, total height, and crown area made on 4148 trees belonging to 538 species in five biogeographic areas across the wet tropics shows stability in DBH-CA allometry suggests that some universal constraints are sufficiently pervasive to restrict the exponent variation to a narrow range.