PPRIF

Le Dossier Départemental des Risques Majeurs (DDRM) est un ouvrage de sensibilisation aux risques majeurs, illustré par des cartes d'aléas schématiques. Il a pour but de recenser, de décrire, et de porter à la connaissance du public l'ensemble des risques majeurs recensés dans le département et les communes concernées, ainsi que les mesures de sauvegarde prévues pour en limiter les effets.

PCI vecteur

Périmètre de la CAPB

The present dataset is based on a nine site study of fine seabed topography in intertidal zones. Four coral sites (Maupiti A, B and C and Niau islands) and five rocky sites (Ars en Ré, Socoa, Parlementia A and B and Banneg island) have been explored. The data has been gathered using on-foot GNSS RTK for all sites (Trimble R8/R8S and Leica sytems) except Banneg island, where aerial Lidar data from Litto3D program has been used. The horizontal resolution varies between 3.8 and 12cm allowing to describe a wide range of spatial scales (generally over 3 spectral decades). The data has been processed to explore the statistical and spectral metrics which can be used to characterize the architectural complexity of seabeds. Owners: - Topographic survey on Ars-en-Ré : profile X, Z in meter along a transec was operated on 10-15 Jan 2021 with On-foot Trimble R8/R8S GNSS RTK by Shom, Gladys and Univ. de Montpellier - Topographic survey on Maupiti Hoe: profile X, Z in meter along a transec was operated on 5-10 July 2018 with on-foot Trimble R8/R8S GNSS RTK by GLADYS and Université de Montpellier - Topographic survey on Niau : profile X, Z in meter along a transec operated on 10 Nov. 2021 with On-foot Trimble R8/R8S GNSS RTK - by CEREGE and MIO (OSU Pytheas) - Topographic survey on Parlementia A, and B : profile X, Z in meter along a transec was operated on 22 Fev 2023 with on-foot Leica GNSS RTK by SIAME, UPPA - Topographic survey on Socoa : profile X, Z in meter along a transec was operated on 21 Fev 2023 with on-foot Leica GNSS RTK by SIAME, UPPA and Shom - Topographic survey in high resolution of Banneg island (X, Y, Z) is made by aerial lidar litto3D on spring 2012/2013 by Shom and IGN

Ensemble résultant du découpage par zones du chenal de navigation.Ces passes sont régulièrement hydrographiées.

"Towards an integrated prediction of Land & Sea Responses to global change in the Mediterranean Basin" The LaSeR-Med project aims at investigating the effects of climate change and of mediterranean population growth on some major indicators of the Mediterranean Sea (primary production, carbon export, zooplankton biomass available for small pelagic fishes, pH, dissolved oxygen) using and integrated model encompassing a socio-economic model, a continental model of agro-ecosystems, and a physical ocean-atmosphere model coupled to a biogeochemical model of the ocean. Last, a model for the widespread species of jellyfish Pelagia Noctiluca (Berline et al., 2013) uses biogeochemical outputs as food forcing for the jellyfish. In this project, our aim was first to investigate the large-scale and long-term impacts of variations in river inputs on the biogeochemistry of the Mediterranean Sea over the last decades (see Pages et al., 2020a). In the second phase, a climate scenario (RCP8.5) alone (Pages et al., 2020b) or combined with a “land-use” scenario derived to ensure the same level of food availability as today in 2050 have been run to investigate its effect on these indicators and to analyze the observed changes on the structure and the functioning of planktonic food web. This interdisciplinary project provided the framework for joint discussions on each of the sub-models that constitute the integrated model, namely the socio-economic model (Ami et al., in prep., Mardesic et al., in prep.) created ex nihilo by researchers from AMSE, INRA and GREQAM, the continental agro-ecosystem model LPJmL (Bondeau et al., 2007) worked on at IMBE so as to include the nitrogen and phosphorous cycles in the frame of the present project, and the ocean biogeochemical model Eco3M-Med developed at MIO (Baklouti et al., 2006; Alekseenko et al. 2014, Guyennon et al., 2015; Pagès et al., 2020a), forced by ocean physics, either using the ocean model NEMO-Med12 forced by atmosphere at IPSL (simulation NM12-FREE run with the NEMO-MED12 model and used for our hindcast simulation, see below) or a coupled ocean-atmosphere model at CNRM (physical forcing provided by CNRM-RCSM4, see below). Details on the CNRM-RCSM4 model The CNRM-RCSM4 simulates the main components of the Mediterranean regional climate system and their interactions. It includes four different components: (i) The atmospheric regional model ALADIN-Climate (Radu et al., 2008; Colin et al., 2010; Herrmann et al., 2011) characterized by a 50 km horizontal resolution, 31 vertical levels, and a time step of 1800 s, (ii) the ISBA (Interaction between Soil Biosphere and Atmosphere) land-surface model (Noilhan and Mahfouf, 1996) at a 50 km horizontal resolution, (iii) the TRIP (Total Runoff Integrating Pathways) river routing model (Oki and Sud, 1998), used to convert the runoff simulated by ISBA into rivers (Decharme et al., 2010; Szczypta et al., 2012; Voldoire et al., 2013), and (iv) the Ocean general circulation model NEMO (Nucleus for European Modeling of the Ocean, Madec and NEMO-Team, 2016) in its NEMO-MED8 regional configuration (Beuvier et al., 2010). NEMO-MED8 is characterized by a horizontal resolution of 1/8° (grid cells size from 6 to 12 km), a vertical resolution of 43 vertical levels (cell height ranging from 6 to 200 m), and a time step of 1200 s. More details about the CNRM-RCSM4 model can be found in Sevault et al. (2014). Keywords: - Mediterranean Sea, river inputs, chlorophyll, nutrients, phytoplankton, bacteria, zooplankton, dissolved and particulate organic detrital matter Citation: Pagès, R., Baklouti, M., Barrier, N., Richon, C., Dutay, J.-C., and Moutin, T. (2020a). Changes in rivers inputs during the last decades significantly impacted the biogeochemistry of the eastern Mediterranean basin: a modelling study. Prog. Oceanogr. 181:102242. doi:10.1016/j.pocean.2019.102242 Pagès, R., Baklouti, M., Barrier, N., Ayache, M., Sevault, F., Somot, S. and Moutin, T. (2020b). Projected Effects of Climate-Induced Changes in Hydrodynamics on the Biogeochemistry of the Mediterranean Sea Under the RCP 8.5 Regional Climate Scenario. Front. Mar. Sci. 7:563615. doi:10.3389/fmars.2020.563615 Ayache, M., Bondeau, A., Pagès, R., Barrier, N., Ostberg, S. and Baklouti, M. (2020). LPJmL-Med – Modelling the dynamics of the land-sea nutrient transfer over the Mediterranean region–version 1: Model description and evaluation. Geoscientific Model Development Discussions, Copernicus Publ.

Sediment substrate maps at different scales, of the French metropolitan EEZ produced in the work-package 3 the European project EMODNet Geology (phase IV). Available scales : - 1 : 1 000 000 - 1 : 250 000 - 1 : 100 000 - 1 : 50 000 - 1 : 20 000 - 1 : 15 000 - 1 : 10 000 - 1 : 5 000 Bibliographic references : - Coltman, N., Gilliland, P. & van Heteren, S. 2007. What can I do with my map? In: MESH Guide to Habitat Mapping, MESH Project, 2007, JNCC, Peterborough. Available online at: (http://www.searchmesh.net/default.aspx?page=1900) - Foster-Smith, R., Connor, D. & Davies, J. 2007. What is habitat mapping? In: MESH Guide to Habitat Mapping, MESH Project, 2007, JNCC, Peterborough. Available online at: (http://www.searchmesh.net/default.aspx?page=1900) - Väänänen, T. (ed), Hyvönen, E., Jakonen, M., Kupila, J., Lerrsi, J., Leskinen, J., Liwata, P., Nevalainen, R., Putkinen, S., Virkki, H. 2007. Maaperän yleiskartan tulkinta- ja kartoitusprosessi. Maaperän yleiskartoitus –hankkeen sisäinen raportti. 17 p.

In order to manage coastal monitoring data, Ifremer has developed the Quadrige information system which connects a database to a wide array of tools for interpreting and designing information products. Quadrige is just one element of the Water Information System (SIE) www.eaufrance.fr and, as such, contributes toward the work of the French National Adminitrative Service for Water-Related Data (SANDRE) www.sandre.eaufrance.fr. The main aim of the Quadrige thematic databank is to manage and enhance data from coastal observation and monitoring networks. On a national level, Quadrige is today designated by the French Environment Ministry as the definitive information system for coastal waters, and the tool is therefore common to all of those working in the marine environment sector. The Quadrige databank is composed of data from the Quadrige database and products described or made available on the Envlit website. The Quadrige database contains results about most physical, chemical and biological environmental description parameters. The first data for example dates back to 1974 for the parameters relating to general water quality and contaminants, 1987 for phytoplankton and phycotoxins, 1989 for microbiology, from the early 2000s for the benthic zone. The data is permanently being updated. In Quadrige, an observation location is a geographical location where observations, measurements and/or samples will be taken. These locations can be located in a unique way thanks to their appearance on a map (polygon, line or point). A measurement location can be used by multiple programmes.