Search: onr:"swepub:oai:DiVA.org:su-100851" >
Testing the Potenti...
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Lindegarth, Mats,1965Gothenburg University,Göteborgs universitet,Institutionen för biologi och miljövetenskap, Tjärnö marinbiologiska laboratorium,Department of Biological and Environmental Sciences, Tjärnö Marine Biological Laboratory
(author)
Testing the Potential for Predictive Modeling and Mapping and Extending Its Use as a Tool for Evaluating Management Scenarios and Economic Valuation in the Baltic Sea (PREHAB)
- Article/chapterEnglish2014
Publisher, publication year, extent ...
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2014-01-12
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Springer Science and Business Media LLC,2014
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printrdacarrier
Numbers
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LIBRIS-ID:oai:DiVA.org:su-100851
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https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-100851URI
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https://doi.org/10.1007/s13280-013-0479-2DOI
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https://res.slu.se/id/publ/53521URI
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https://gup.ub.gu.se/publication/196853URI
Supplementary language notes
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Language:English
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Summary in:English
Part of subdatabase
Classification
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Subject category:ref swepub-contenttype
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Subject category:art swepub-publicationtype
Notes
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AuthorCount:13;
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We evaluated performance of species distribution models for predictive mapping, and how models can be used to integrate human pressures into ecological and economic assessments. A selection of 77 biological variables (species, groups of species, and measures of biodiversity) across the Baltic Sea were modeled. Differences among methods, areas, predictor, and response variables were evaluated. Several methods successfully predicted abundance and occurrence of vegetation, invertebrates, fish, and functional aspects of biodiversity. Depth and substrate were among the most important predictors. Models incorporating water clarity were used to predict increasing cover of the brown alga bladderwrack Fucus vesiculosus and increasing reproduction area of perch Perca fluviatilis, but decreasing reproduction areas for pikeperch Sander lucioperca following successful implementation of the Baltic Sea Action Plan. Despite variability in estimated non-market benefits among countries, such changes were highly valued by citizens in the three Baltic countries investigated. We conclude that predictive models are powerful and useful tools for science-based management of the Baltic Sea.
Subject headings and genre
Added entries (persons, corporate bodies, meetings, titles ...)
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Bergström, UlfSwedish University of Agricultural Sciences,Sveriges lantbruksuniversitet,Institutionen för akvatiska resurser,Department of Aquatic Resources(Swepub:slu)50486
(author)
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Mattila, JohannaÅbo Akademi University(Swepub:slu)64336
(author)
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Olenin, Sergej
(author)
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Ollikainen, Markku
(author)
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Downie, Anna-Leena
(author)
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Sundblad, GöranAquaBiota Water Research
(author)
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Bucas, Martynas
(author)
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Gullström, MartinStockholms universitet,Institutionen för ekologi, miljö och botanik(Swepub:gu)xgulma
(author)
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Snickars, Martin
(author)
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von Numers, Mikael
(author)
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Svensson, J. Robin,1979
(author)
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Kosenius, Anna-Kaisa
(author)
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Göteborgs universitetInstitutionen för biologi och miljövetenskap, Tjärnö marinbiologiska laboratorium
(creator_code:org_t)
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Sveriges lantbruksuniversitet
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In:Ambio: Springer Science and Business Media LLC43:1, s. 82-930044-74471654-7209
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Lindegarth, Mats ...
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Bergström, Ulf
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Mattila, Johanna
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Olenin, Sergej
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Ollikainen, Mark ...
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Downie, Anna-Lee ...
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Sundblad, Göran
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Bucas, Martynas
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Snickars, Martin
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- About the subject
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- NATURAL SCIENCES
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NATURAL SCIENCES
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and Earth and Relate ...
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and Environmental Sc ...
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- NATURAL SCIENCES
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NATURAL SCIENCES
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and Biological Scien ...
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and Ecology
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Ambio
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Stockholm University
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Swedish University of Agricultural Sciences
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University of Gothenburg