L’objectif de cette étude est d’illustrer à l’aide d’indicateurs les conséquences de choix de gestion imposés par cinq scénarios socioéconomiques prospectifs appliqués à une large zone forestière pour les 60 prochaines années. Le cas d’étude choisi est la zone centrée sur la commune de Pontenx-les-Forges dans le sud-ouest de la France et couvrant 101000 hectares. Cet article présente une description de la zone d’étude et des itinéraires sylvicoles mis en œuvre par les propriétaires forestiers selon des scénarios. À l’aide d’un simulateur pilotant deux modèles de croissance, l’évolution de la zone d’étude à l’échelle de chaque parcelle est synthétisée par 9 indicateurs sur une période de 60 ans : le volume sur pied, le carbone sur pied, le volume total exploité, la valeur commerciale sur pied, le volume de l’arbre moyen, la vulnérabilité au vent et au feu, et des indices de biodiversité. Un des principaux résultats de cette étude est de montrer l’amplitude des changements pour la production et le volume sur pied : selon les scénarios les récoltes annuelles peuvent varier de 50 % dès 2030. Par conséquent, d’autres indicateurs sont impactés comme la biodiversité, la vulnérabilité au vent ou au feu. Pourtant, l’espèce dominante est maintenue et le comportement partiellement conservateur des types de propriétaires est pris en compte. En conclusion, des améliorations pour de futures simulations sont envisagées ; dans ce but, des synergies avec la télédétection sont nécessaires pour la collecte des données d’initialisation sur de larges territoires, ce qui permettra d’améliorer la précision des résultats.

Plan Particulier de Mise en Sureté des élèves des écoles et collèges de la presqu'ile d"Ambès et travaux associés

Recensement des données PIGMA identifiées par le S3PI Presqu'Île d'Ambès dans le cadre de ses travaux sur la thématique "Risques naturels"

Recensement des données PIGMA identifiées par le S3PI Presqu'Île d'Ambès dans le cadre de ses travaux sur la thématique "Pollution"

Species distribution models (GAM, Maxent and Random Forest ensemble) predicting the distribution of Solitary Scleractinian fields assemblage in the Celtic Sea. This community is considered ecologically coherent according to the cluster analysis conducted by Parry et al. (2015) on image sample. Modelling its distribution complements existing work on their definition and offers a representation of the extent of the areas of the north-east Atlantic where they can occur based on the best available knowledge. This work was performed at the University of Plymouth in 2021.

The Coastal Zones (CZ) LC/LU product for 2018 is providing a detailed Land Cover / Land Use (LC/ LU) dataset for areas along the coastline of the EEA38 countries and the United Kingdom, with reference year 2018 for the classification. This product monitors landscape dynamics in European coastal territory to an inland depth of 10 km with a total area of approximately 730,000 km², with all the relevant areas (estuaries, coastal lowlands, nature reserves). The production of the coastal zone layers was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme, as part of the Copernicus Land Monitoring Service (CLMS) Local Component. The Coastal Zones product covers a buffer zone of coastline derived from EU-Hydro v1.1. Land Cover/Land Use (LC/LU) layer is extracted from Very High Resolution (VHR) satellite data and other available data. The class definitions follow the pre-defined nomenclature on the basis of Mapping and Assessment of Ecosystems and their Services (MAES) typology of ecosystems (Level 1 to Level 4) and CORINE Land Cover adapted to the specific characteristics of coastal zones. The classification provides 71 distinct thematic classes with a Minimum Mapping Unit (MMU) of 0.5 ha and a Minimum Mapping Width (MMW) of 10 m. The product is available for the 2012 and 2018 reference year including change mapping. This CZ dataset is distributed in vector format, in a single OGC GeoPackage SQLite file covering the area of interest.

The EMODnet Bathymetric Contours are available as a WFS service from EMODnet Bathymetry. Service URL is: https://ows.emodnet-bathymetry.eu/wfs The bathymetric contours of this layer are generated automatically based on the EMODnet DTM. New contour sets will be available for each consecutive update of the EMODnet DTM. The contours are generated by GGSgc BV using the proprietary GGSgc software.

The SDC_MED_CLIM_TS_V1 product contains Temperature and Salinity Climatologies for Mediterranean Sea: monthly and seasonal fields for periods 1955-2017, 1955-1984 and 1985-2017 and seasonal fields for 6 decades covering the time period 1955 to 2017. The climatic fields were computed from an integrated Mediterranean Sea data set that combines data extracted from SeaDataNet infrastructure (https://doi.org/10.12770/2698a37e-c78b-4f78-be0b-ec536c4cb4b3) and Coriolis Ocean Dataset for Reanalysis (CORA5.2) distributed by the Copernicus Marine Service (http://marine.copernicus.eu/services-portfolio/access-to-products/?option=com_csw&view=details&product_id=INSITU_GLO_TS_REP_OBSERVATIONS_013_001_b). The computation was done with the DIVAnd (Data-Interpolating Variational Analysis in n dimensions), version 2.4.0.

The SWOT KaRIn Level-3 Wind Wave product (L3_LR_WIND_WAVE) is an innovative product derived from the Unsmoothed L3_LR_SSH product (DOI: 10.24400/527896/A01-2024.003), which is based on the algorithm presented by Ardhuin et al. (2024). L3_LR_WIND_WAVE takes advantage of the KaRIn Low Rate (LR) chain's ability to resolve waves with wavelengths greater than 500 meters (approximately 18 seconds) and provides detailed information on the characteristics of these wave regimes. This includes significant wave height (SWH), dominant wavelength, and wave propagation direction. These regimes are associated with long-period swells and extreme events that play a critical role in ocean dynamics, coastal processes, and maritime operations. The SWOT L3_LR_WIND_WAVE product is organized into two subproducts, "Light" and "Extended". The L2_LR_SSH "Light" product is described in this metadata sheet. The "Light" L3_LR_WIND_WAVE (also known as the "lightweight" product) includes the SWOT L3_LR_SSH 250-m SSHA spectrum, corrected for instrumental effects and expressed in both Cartesian and polar coordinates. It also includes the swell partition of the spectrum and the wave parameters integrated over this partition, for both the WW3 model and the KaRIn model (significant wave height, wavelength, and direction). The "Extended" L3_LR_WIND_WAVE includes the aforementioned variables plus the WW3 spectrum in the same frequency grid as the KaRIn spectrum and the KaRIn transfer functions used for correction, as well as some parameters derived from KaRIn observations (e.g., coherence, mean backscatter).