NDLI: Biotope map of the German Baltic Sea.

Content Provider	World Health Organization (WHO)-Global Index Medicus
Author	Schiele, Kerstin S. Darr, Alexander Zettler, Michael L. Friedland, René Tauber, Franz Von Weber, Mario Voss, Joachim
Spatial Coverage	Baltic States Germany
Description	Author Affiliation: Schiele KS ( Leibniz Institute for Baltic Sea Research Warnemünde, Seestr.15, 18119 Warnemünde, Germany. Electronic address: kerstin.schiele@io-warnemuende.de.); Darr A ( Leibniz Institute for Baltic Sea Research Warnemünde, Seestr.15, 18119 Warnemünde, Germany. Electronic address: alexander.darr@io-warnemuende.de.); Zettler ML ( Leibniz Institute for Baltic Sea Research Warnemünde, Seestr.15, 18119 Warnemünde, Germany. Electronic address: michael.zettler@io-warnemuende.de.); Friedland R ( Leibniz Institute for Baltic Sea Research Warnemünde, Seestr.15, 18119 Warnemünde, Germany. Electronic address: rene.friedland@io-warnemuende.de.); Tauber F ( Leibniz Institute for Baltic Sea Research Warnemünde, Seestr.15, 18119 Warnemünde, Germany. Electronic address: franz.tauber@io-warnemuende.de.); von Weber M ( State Agency for Environment, Nature Conservation and Geology Mecklenburg-Vorpommern (LUNG), Goldberger Strasse 12, D-18273 Güstrow, Germany. Electronic address: mario.von.weber@lung.mv-regierung.de.); Voss J ( State Agency for Agriculture, Environment and Rural Areas Schleswig-Holstein (LLUR), Hamburger Chaussee 25, 24220 Flintbek, Germany. Electronic address: Joachim.Voss@llur.landsh.de.)
Abstract	Full-coverage maps on the distribution of marine biotopes are a necessary basis for Nature Conservation and Marine Spatial Planning. Yet biotope maps do not exist in many regions. We are generating the first full-coverage biotope map for the German Baltic Sea according to the HELCOM Underwater biotope and habitat classification system (HUB). Species distribution modelling is applied to create full-coverage spatial information of biological features. The results of biomass modelling of twelve target taxa and presence/absence modelling of three target taxa enabled the identification of biological levels up to HUB level 6. Environmental data on bathymetry, light penetration depth and substrate are used to identify habitat levels. HUB biotope levels were combined with HUB habitat levels to create a biotope map. Altogether, 68 HUB biotopes are identified in the German Baltic Sea. The new biotope map combining substrate characteristics and biological communities will facilitate marine management in the area.
File Format	HTM / HTML
ISSN	0025326X
Issue Number	1-2
Volume Number	96
e-ISSN	18793363
Journal	Marine Pollution Bulletin
Language	English
Publisher	Elsevier
Publisher Date	2015-07-15
Publisher Place	Great Britain (UK)
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Discipline Biology Ecosystem Environmental Monitoring Methods Baltic States Biomass Environment Germany Oceans And Seas Journal Article Research Support, Non-u.s. Gov't
Content Type	Text
Resource Type	Article
Subject	Pollution Aquatic Science Oceanography

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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