Start-of-season data are more and more used to qualify the land surface phenology trends in relation with climate variability and, more rarely, with human land management. In this paper, we compared the phenology of rangeland vs cropped land in the Sahel belt of Africa, using the only currently available global phenology product (MODIS MCD12Q2 – Land Cover Dynamics Yearly), and an enhanced crop...

Xylella fastidiosa (Xf) is a vector-borne plant bacterium native to the Americas, which causes severe diseases agricultural crops, ornamental plants and forest trees. The becoming source of worldwide health concern disease outbreaks associated with Xf have occurred outside its range (in Europe, Asia Middle East). Several studies estimated risks in invaded regions under current climate condition...

Previous correlational research shows that childhood adversity is associated with earlier age of reproduction in humans and other species. Such studies, however, cannot show that stressful conditions cause earlier reproduction. Using the cold-pressor task, we built on previous work to test the idea that acute stress influences human reproductive and marital ideals, and that individual stress re...

Recently, there has been increasing evidence of species' range shifts due to changes in climate. Whereas most of these shifts relate ground truth biogeographic data to a general warming trend in regional or global climate data, we here present a reanalysis of both biogeographic and bioclimatic data of equal spatio-temporal resolution, covering a time span of more than 50 years. Our results reve...

We present Siren, an interactive tool for mining and visualizing geospatial redescriptions. Redescription mining is a powerful data analysis tool that aims at finding alternative descriptions of the same entities. For example, in biology, an important task is to identify the bioclimatic constraints that allow some species to survive, that is, to describe geographical regions in terms of both th...

The objective of this study was to estimate the potential distribution of Rhyssomatus nigerrimus in Mexico. Point presence data and bioclimatic data were used to construct the model. Kernel density distributions were estimated for the bioclimatic layers to represent the response function and to combine them. The vulnerability of municipalities planted with soybean was computed as a function of ...

Concern over implications of climate change for biodiversity has led to the use of bioclimatic models to forecast the range shifts of species under future climate-change scenarios. Recent studies have demonstrated that projections by alternative models can be so variable as to compromise their usefulness for guiding policy decisions. Here, we advocate the use of multiple models within an ensemb...