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Machine learning highlights the importance of primary and secondary production in determining habitat for marine fish and macroinvertebrates
Authors:Kevin D. Friedland  Michelle Bachman  Andrew Davies  Romain Frelat  M. Conor McManus  Ryan Morse  Bradley A. Pickens  Szymon Smoliński  Kisei Tanaka
Affiliation:1. Northeast Fisheries Science Center, Narragansett, Rhode Island, USA;2. New England Fishery Management Council, Newburyport, Massachusetts, USA;3. Department of Biological Sciences, University of Rhode Island, Kingston, Rhode Island, USA;4. Biometris – Aquaculture and Fisheries Group, Wageningen University, Wageningen, the Netherlands;5. Rhode Island Department of Environmental Management, Division of Marine Fisheries, Jamestown, Rhode Island, USA;6. CSS, Fairfax, Virginia, USA;7. Demersal Fish Research Group, Institute of Marine Research, Bergen, Norway;8. Atmospheric and Oceanic Sciences Program, Princeton University, Princeton, New Jersey, USA
Abstract:
Keywords:habitat  lower trophic level  random forest  species distribution model
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