MarSP project intends to reinforce the Maritime Spatial Planning (MSP) processes in the three EU Macaronesian Archipelagos - Azores, Madeira and Canary Islands. MarSP aims to assists the competent authorities of Portugal (Azores and Madeira) and Spain (Canary Islands) on promoting the development of operative mechanisms of Maritime Spatial Planning (MSP) until 2021. Aligned with the European MSP Directive 2014/89/EU and EASME call for MSP Cross-Border cooperation for outermost regions, MarSP will focus in the cooperation of the three regions of Macaronesia (Azores, Madeira and the Canary Islands) to ensure a coherent and coordinated MSP process, taking into account the transnational issues. These three regions of the Macaronesia have been developing their own planning processes according to the Directive 2014/89/EU, national legislation and governance frameworks, which are remarkably different. Currently, each archipelago is in distinct stages of development of MSP implementation. For this reason, a complete homogenization of the approaches for the three regions is not possible and neither desirable. On the other hand, this discrepancy may represent a strong point in this project, since facing distinct MSP processes, designed to deal with similar problems, due to the same geographic context, but at distinct stages of development, will certainly bring a testing dimension to the project that is not negligible.

This is a portion of the data used to calculate 2008 and 2013 cumulative human impacts in: Halpern et al. 2015. Spatial and temporal changes in cumulative human impacts on the world's ocean. Seven data packages are available for this project: (1) supplementary data (habitat data and other files); (2) raw stressor data (2008 and 2013); (3) stressor data rescaled by one time period (2008 and 2013, scaled from 0-1); (4) stressor data rescaled by two time periods (2008 and 2013, scaled from 0-1); (5) pressure and cumulative impacts data (2013, all pressures); (6) pressure and cumulative impacts data (2008 and 2013, subset of pressures updated for both time periods); (7) change in pressures and cumulative impact (2008 to 2013). All raster files are .tif format and coordinate reference system is mollweide wgs84. Here is an overview of the calculations: Raw stressor data -> rescaled stressor data (values between 0-1) -> pressure data (stressor data after adjusting for habitat/pressure vulnerability) -> cumulative impact (sum of pressure data) -> difference between 2008 and 2013 pressure and cumulative impact data. This data package includes 2008 and 2013 raw stressor data. The 2008 data includes 18 raster files (preceeded by raw_2008_). The 2013 data includes 19 raster files (preceeded by raw_2013_). There is no sea level rise data for 2008.

The CETUS dataset contains effort-based occurrence records collected during a cetacean monitoring programme in the Eastern North Atlantic, since 2012. The CETUS dataset contains data collected within the CETUS Project (www.cetusproject.com), a cetacean monitoring programme in the Eastern North Atlantic, running since 2012. The project is led by the Interdisciplinary Centre of Marine and Environmental Research (CIIMAR - University of Porto, Portugal), in partnership with TRANSINSULAR - Grupo ETE, a Portuguese company for maritime transport, that offers its cargo ships to be used as a platforms of opportunity to monitor cetaceans along routes between Continental Portugal and Madeira, Azores, Canary and Cape Verde islands. On-board trained marine mammal observers collect data on: survey effort, cetacean and other megafauna occurrences, as well as marine traffic and meteorological conditions. Data is provided in the recent OBIS-ENV-DATA format, and comprises 8913 georeferenced positions associated with 3195 occurrences of 44 marine taxa.

The Sea Around Us is a research initiative at The University of British Columbia (located at the Institute for the Oceans and Fisheries, formerly Fisheries Centre) that assesses the impact of fisheries on the marine ecosystems of the world, and offers mitigating solutions to a range of stakeholders. The Sea Around Us was initiated in collaboration with The Pew Charitable Trusts in 1999, and in 2014, the Sea Around Us also began a collaboration with The Paul G. Allen Family Foundation to provide African and Asian countries with more accurate and comprehensive fisheries data. It provides data and analyses through View Data, articles in peer-reviewed journals, and other media (News). We regularly update our products at the scale of countries’ Exclusive Economic Zones, Large Marine Ecosystems, the High Seas and other spatial scales, and as global maps and summaries. It emphasises catch time series starting in 1950, and related series (e.g., landed value and catch by flag state, fishing sector and catch type), and fisheries-related information on every maritime country (e.g., government subsidies, marine biodiversity). Information is also offered on sub-projects, e.g., the historic expansion of fisheries, the performance of Regional Fisheries Management Organizations, or the likely impact of climate change on fisheries. The information and data presented on this website is freely available to any user, granted that its source is acknowledged. We are aware that this information may be incomplete. Please let us know about this via the feedback options available on this website.

3-D habitat suitability maps (HSM) or probability of occurrence maps, built using Shape-Constrained Generalized Additive Models (SC-GAMs) for the 30 main commercial species of the Atlantic region. Predictor variables for each species were selected from: sea water temperature, salinity, nitrate, net primary productivity, distance to seafloor, distance to coast, and relative position to mixed layer depth. Each species HSM contains 47 maps, one per depth level from 0 to 1000 m. Probability values of each map range from 0 (unsuitable habitat) to 1 (optimal habitat). For depth levels below the 0.99 quantile of the depth values found on the species occurrence data, NA values were assigned. Maps have been masked to species native range regions. See Valle et al. (2024) in Ecological Modelling 490:110632 (https://doi.org/10.1016/j.ecolmodel.2024.110632 ), for more details.

'''Short description: ''' For the '''Global''' Ocean '''Satellite Observations''', ACRI-ST company (Sophia Antipolis, France) is providing '''Chlorophyll-a''' and '''Optics''' products [1997 - present] based on the '''Copernicus-GlobColour''' processor. * '''Chlorophyll and Bio''' products refer to Chlorophyll-a, Primary Production (PP) and Phytoplankton Functional types (PFT). Products are based on a multi sensors/algorithms approach to provide to end-users the best estimate. Two dailies Chlorophyll-a products are distributed: ** one limited to the daily observations (called L3), ** the other based on a space-time interpolation: the '''"Cloud Free"''' (called L4). * '''Optics''' products refer to Reflectance (RRS), Suspended Matter (SPM), Particulate Backscattering (BBP), Secchi Transparency Depth (ZSD), Diffuse Attenuation (KD490) and Absorption Coef. (ADG/CDM). * The spatial resolution is 4 km. For Chlorophyll, a 1 km over the Atlantic (46°W-13°E , 20°N-66°N) is also available for the '''Cloud Free''' product, plus a 300m Global coastal product (OLCI S3A & S3B merged). *Products (Daily, Monthly and Climatology) are based on the merging of the sensors SeaWiFS, MODIS, MERIS, VIIRS-SNPP&JPSS1, OLCI-S3A&S3B. Additional products using only OLCI upstreams are also delivered. * Recent products are organized in datasets called NRT (Near Real Time) and long time-series in datasets called REP/MY (Multi-Years). The NRT products are provided one day after satellite acquisition and updated a few days after in Delayed Time (DT) to provide a better quality. An uncertainty is given at pixel level for all products. To find the '''Copernicus-GlobColour''' products in the catalogue, use the search keyword '''"GlobColour"'''. See [http://catalogue.marine.copernicus.eu/documents/QUID/CMEMS-OC-QUID-009-030-032-033-037-081-082-083-085-086-098.pdf QUID document] for a detailed description and assessment. '''DOI (product) :''' https://doi.org/10.48670/moi-00100