Laminaria ochroleuca distribution in the Portuguese mainland from historical data. Data provided by the Project FindKelp and published in: ÔÇ£Findkelp, a GIS-based Community Participation Project to Assess Portuguese Kelp Conservation StatusÔÇØ. Journal of Coastal Research (2009) :SI 56 (1469-1473)

Zostera noltii meadows distribution in the Portuguese mainland from historical data. Data provided by the Life Project BIOMARES and published in: ÔÇ£Seagrasses in Portugal: A most endangered marine habitatÔÇØ. Aquatic Botany. doi:10.1016/j.aquabot.2011.08.007. ÔÇ£Estimation of available seagrass meadows area in Portugal for transplanting purposes ÔÇØ. Journal of Coastal Research (2009) :SI 56 (1100-1104)

Maerl beds distribution in the Portuguese mainland from historical data. Data published in: ÔÇ£Present distribution of maerl beds in the Atlantic Iberian PeninsulaÔÇØ. Museologia Scientifica e Naturalista. Volume Speciale 2009

Saccorhiza polyschides distribution in the Portuguese mainland from historical data. Data provided by the Project FindKelp and published in: ÔÇ£Findkelp, a GIS-based Community Participation Project to Assess Portuguese Kelp Conservation StatusÔÇØ. Journal of Coastal Research (2009) :SI 56 (1469-1473)

Zostera marina meadows distribution in the Portuguese mainland from historical data. Data provided by the Life Project BIOMARES and published in: ÔÇ£Seagrasses in Portugal: A most endangered marine habitatÔÇØ. Aquatic Botany. doi:10.1016/j.aquabot.2011.08.007. ÔÇ£Estimation of available seagrass meadows area in Portugal for transplanting purposes ÔÇØ. Journal of Coastal Research (2009) :SI 56 (1100-1104)

Laminaria hyperborea distribution in the Portuguese mainland from historical data. Data provided by the Project FindKelp and published in: ÔÇ£Findkelp, a GIS-based Community Participation Project to Assess Portuguese Kelp Conservation StatusÔÇØ. Journal of Coastal Research (2009) :SI 56 (1469-1473)

Cymodocea nodosa meadows distribution in the south of Portugal from historical data. Data provided by the Life Project BIOMARES and published in: ÔÇ£Seagrasses in Portugal: A most endangered marine habitatÔÇØ. Aquatic Botany. doi:10.1016/j.aquabot.2011.08.007. ÔÇ£Estimation of available seagrass meadows area in Portugal for transplanting purposes ÔÇØ. Journal of Coastal Research (2009) :SI 56 (1100-1104)

Data were collected in the framework for the stablishment of the Capo Milazzo AMP. The study was founded by MATTM. The map was constructed by using acustic data, direct observations by ROV and satellite images.

Point data on Laminaria hyperborea, collected from different sources in the Nordic countries, were used to model the kelp forest distribution by fitting boosted regression trees to the compiled data. The predictors were distance to shore, slope, curvature, aspect, salinity, temperature, light, current speed, sea ice concentration and wave fetch. The aim of the project was to model the distribution of kelp forests in the Nordic countries in order to identify their ecosystem functions and services, including their role in the carbon cycle.

The aim of the National Program for Mapping Biodiversity – Coast is to provide Norwegian managers and planners with maps of the distribution of marine habitats and key areas for species. The kelp was identified in the field using underwater video cameras and GPS and classified according to the routine established in the Norwegian National Program for Mapping Biodiversity – Coast. Kelp forests were defined as moderately dense and dense occurrences of kelp. Areas of kelp forest were modelled using different statistical methods (e.g. GAM, BRT, Maxent) based on point data collected along environmental gradients. These data include only the largest kelp forests.