Jean-François Guégan

TL;DR: In this paper, the authors examine the relationship between climate and biodiversity and conclude that the interaction between water and energy, either directly or indirectly, provides a strong explanation for globally extensive plant and animal diversity gradients, but for animals there also is a latitudinal shift in the relative importance of ambient energy vs. water moving from the poles to the equator.

TL;DR: This work rejects the energy–richness hypothesis in its standard form and considers some proposed modifications, and deriving and testing predictions based on their hypothesized mechanisms.

TL;DR: Some of the most important papers of the first workshop about ANNs in ecological modelling are presented, including two algorithms frequently used; one supervised network, the backpropagation algorithm; and one unsupervisednetwork, the Kohonen self-organizing mapping algorithm.

TL;DR: It is proposed that the global latitudinal species diversity gradient might be generated in large part by biotic interactions, providing strong support for the idea that current estimates of species diversity are substantially underestimated.

TL;DR: This paper surveyed the empirical literature to determine how well six diversity hypotheses account for spatial patterns in species richness across varying scales of grain and extent, and found that climate and productivity play an important role in determining species richness at large scales, particularly for non-insular, terrestrial habitats.