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Probability maps for different phytoplankton species in the North Sea
Citation
A. Barth, Willem Stolte, C. Troupin & Luuk van der Heijden (2020). Probability maps for different phytoplankton species in the North Sea. Integrated data products created under the European Marine Observation Data Network (EMODnet) Biology project (EASME/EMFF/2017/1.3.1.2/02/SI2.789013), funded by the by the European Union under Regulation (EU) No 508/2014 of the European Parliament and of the Council of 15 May 2014 on the European Maritime and Fisheries Fund
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Archived data
Availability: Creative Commons License This dataset is licensed under a Creative Commons Attribution 4.0 International License.

Description
This data product is a series of probability of occurrence maps for 200 phytoplankton species from 1995 to 2015 in the Greater North Sea, based on a neural network analysis. The input data files have been produced by Deltares (Luuk van der Heijden, Willem Stolte). They used EMODnet-Biology data as a basis. The selection of relevant datasets was optimized in order to find all planktonic species, and exclude all species that are not planktonic. The occurences from EMODnet Biology were complemented with absence data assuming fixed species lists within each dataset and year. In addition to the occurrence data, the environmental variables bathymetry, silicate, phosphate and nitrate concentrations were used. Additionally the position (latitude and longitude) and the year are provided to the neural network. DIVAnd (n-dimensional Data-Interpolating Variational Analysis) and the neural network library Knet were used in this analysis.

Scope
Keywords:
Marine, Phytoplankton, ANE, North Sea, Southern Bight

Geographical coverage
ANE, North Sea, Southern Bight [Marine Regions]

Temporal coverage
1995 - 2015
Five-yearly

Contributors
Deltares, moredata creator
Université de Liège (ULG), moredata creator


Data type: Data products
Metadatarecord created: 2020-11-06
Information last updated: 2021-04-15
All data in the Integrated Marine Information System (IMIS) is subject to the VLIZ privacy policy
 

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