Abstract

Géolocalisation des établissements publics locaux d’enseignement et de formation professionnelle agricoles : Position géographique des établissements en WGS84 (4326) sur l'ensemble du territoire (France métropolitaine et DOM COM). Attributs : Éléments de contact (nom,adresse, téléphone, mail..) et coordonnées géographiques officielles des établissements concernés. Mise à jour mensuelle. Information de précision des données : Dans la mesure du possible, la donnée est au bâtiment près ou à la rue; il existe cependant des cas où le centre de la commune est le point de référence (cf. champ "Précision").

Process-driven seafloor habitat sensitivity (PDS) has been defined from the method developed by Kostylev and Hannah (2007), which takes into account physical disturbances and food availability as structuring factors for benthic communities. It is a conceptual model, relating species’ life history traits to environmental properties. Physical environment maps have been converted into a map of benthic habitat types, each supporting species communities with specific sensitivity to human pressures. It is based on two axes of selected environmental forces. The "Disturbance" (Dist) axis reflects the magnitude of change (destruction) of habitats (i.e. the stability through time of habitats), only due to natural processes influencing the seabed and which are responsible for the selection of life history traits. The "Scope for Growth" (SfG) axis takes into account environmental stresses inducing a physiological cost to organisms and limiting their growth and reproduction potential. This axis estimates the remaining energy available for growth and reproduction of a species (the energy spent on adapting itself to the environment being already taken into account). It can be related to the metabolic theory of the ecology. The process-driven sensitivity (PDS) can be seen as a risk map that combines the two previous axes and reflects the main ecological characteristics of the benthic habitats regarding natural processes. Areas with low disturbance are areas with a naturally low reworking of the sediment, allowing the establishment of a rich sessile epifauna community, with K-strategy species. Areas with low SfG means that the environmental factors, even though there are not limiting, are in lower values, i.e. that it imposes a cost for species to live. In areas combining low disturbance and low SfG, big suspension-feeder species with long life and slow growth can often be found: these species are more vulnerable in case of added disturbance. Details may be found in Foveau A, Vaz S, Desroy N, Kostylev VE (2017) Process-driven and biological characterisation and mapping of seabed habitats sensitive to trawling. PLoS ONE 12(10): e0184486. https://doi.org/10.1371/journal.pone.0184486

IOWAGA sea-states hindcast database generated by the wave model WAVEWATCH-III and forced by CFSR winds on the North East Atlantic grid over 1990-2012 period.

IOWAGA sea-states hindcast database generated by the wave model WAVEWATCH-III and forced by CFSR winds on the New Caledonia grid over 1990-2015 period.

Sediment substrate map at 1 : 250 000 of the French metropolitan EEZ produced in the work-package 3 of the European project EMODNet Geology, phase 2. And additionnal informations on index and confidence of original maps.

The In Situ Analysis System (ISAS) was developed to produce gridded fields of temperature and salinity that preserve as much as possible the time and space sampling capabilities of the Argo network of profiling floats. Since the first global re-analysis performed in 2009, the system has been extended to accommodate all types of vertical profile as well as time series. ISAS gridded fields are entirely based on in-situ measurements. The system aims at monitoring the time evolution of ocean properties for climatological studies and allowing easy computation of climate indices. A careful delayed mode processing of the 2002-2015 dataset has been carried out using version 7 of ISAS and updating the statistics to produce the ISAS-15 analysis.

IOWAGA sea-states hindcast database generated by the wave model WAVEWATCH-III and forced by ECMWF winds on the New Caledonia grid over 2009-2017 period.

IOWAGA sea-states hindcast database generated by the wave model WAVEWATCH-III and forced by ECMWF winds on the East Pacific grid over 1991-2012 period.