Machine learning highlights the importance of primary and secondary production in determining habitat for marine fish and macroinvertebrates

Author:

Friedland Kevin D.1ORCID,Bachman Michelle2ORCID,Davies Andrew3ORCID,Frelat Romain4ORCID,McManus M. Conor5ORCID,Morse Ryan1ORCID,Pickens Bradley A.67ORCID,Smoliński Szymon89ORCID,Tanaka Kisei10ORCID

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. National Centers for Coastal Ocean Science Beaufort North Carolina USA

8. Demersal Fish Research Group Institute of Marine Research Bergen Norway

9. Department of Fisheries Resources National Marine Fisheries Research Institute Gdynia Poland

10. Atmospheric and Oceanic Sciences Program Princeton University Princeton New Jersey USA

Publisher

Wiley

Subject

Nature and Landscape Conservation,Ecology,Aquatic Science

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