BIOMOD - a platform for ensemble forecasting of species distributions

BIOMOD is a computer platform for ensemble forecasting of species distributions, enabling the treatment of a range of methodological uncertainties in models and the examination of species-environment relationships. BIOMOD includes the ability to model species distributions with several techniques, test models with a wide range of approaches, project species distributions into different environmental conditions (e.g. climate or land use change scenarios) and dispersal functions. It allows assessing species temporal turnover, plot species response curves, and test the strength of species interactions with predictor variables. BIOMOD is implemented in R and is a freeware, open source, package

Allegresse :chrestienne: +chrétienne+ de l'heureux succes des guerres de ce royaume , et de la justice de Dieu contre les rebelles au Roy... Ensemble le tombeau de Gaspar de Colligny jadis admiral de France... Par I.T.

Comprend : De guerre, paix ; Pyramide+ renversee sur la mort de Gaspar de Coligny ; Au :Roy: +Roi+ ; Ce que Dieu touche ard

The three phases of the ensemble forecasting of niche models: geographic range and shifts in climatically suitable areas of Utetheisa ornatrix (Lepidoptera, Arctiidae)

Species' geographic ranges are usually considered as basic units in macroecology and biogeography, yet it is still difficult to measure them accurately for many reasons. About 20 years ago, researchers started using local data on species' occurrences to estimate broad scale ranges, thereby establishing the niche modeling approach. However, there are still many problems in model evaluation and application, and one of the solutions is to find a consensus solution among models derived from different mathematical and statistical models for niche modeling, climatic projections and variable combination, all of which are sources of uncertainty during niche modeling. In this paper, we discuss this approach of ensemble forecasting and propose that it can be divided into three phases with increasing levels of complexity. Phase I is the simple combination of maps to achieve a consensual and hopefully conservative solution. In Phase II, differences among the maps used are described by multivariate analyses, and Phase III consists of the quantitative evaluation of the relative magnitude of uncertainties from different sources and their mapping. To illustrate these developments, we analyzed the occurrence data of the tiger moth, Utetheisa ornatrix (Lepidoptera, Arctiidae), a Neotropical moth species, and modeled its geographic range in current and future climates.

Histoire nouvelle du nouveau monde : contenant en somme ce que les Hespagnols ont fait jusqu'à présent aux Indes occidentales, & le rude traitement qu'ils font à ces poures peuples là : ensemble, une petite histoire d'un massacre commis par les Hespagnols sur quelques François en la Floride, avec un indice des choses les plus remarquables / extraite de l'italien de M. Hierosme Benzoni... par M. Urbain Chauveton ; par M. Urbain Chauveton

Comprend : Brief discours et histoire d'un voyage de quelques François en Floride : & du massacre autant injustement que barbarement executé sur eux, par les Hespagnols, l'an mil cinq cens soixante cinq

Précis d'un cours sur l'ensemble du droit privé des Romains... (2e édition revue et corrigée sur la 4e édition allemande...) / par Théodore Marezoll,... ; traduit et annoté par C.-A. Pellat,...

Titre original : Lehrbuch der Institutionen der römischen Rechtex

Statistical mechanics in the extended Gaussian ensemble

The extended Gaussian ensemble (EGE) is introduced as a generalization of the canonical ensemble. This ensemble is a further extension of the Gaussian ensemble introduced by Hetherington [J. Low Temp. Phys. 66, 145 (1987)]. The statistical mechanical formalism is derived both from the analysis of the system attached to a finite reservoir and from the maximum statistical entropy principle. The probability of each microstate depends on two parameters ß and ¿ which allow one to fix, independently, the mean energy of the system and the energy fluctuations, respectively. We establish the Legendre transform structure for the generalized thermodynamic potential and propose a stability criterion. We also compare the EGE probability distribution with the q-exponential distribution. As an example, an application to a system with few independent spins is presented.

[Voyage en Italie : 1824-1830]. , [Vue présumée de la Punta Nera, port et] rue en pente à Porto Ferrajo : [deux vues perspectives, un plan d'ensemble] : [dessin] / h. L. [Henri Labrouste]

Référence bibliographique : Weigert, 106