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

Friedland, Kevin D.; Bachman, Michelle; Davies, Andrew; Frelat, Romain; McManus, M. Conor; Morse, Ryan; Pickens, Bradley A.; Smoliński, Szymon; Tanaka, Kisei

doi:10.1002/aqc.3527

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

2021
By Friedland, Kevin D. ; Bachman, Michelle ; Davies, Andrew ; ...
Source: Aquatic Conservation: Marine and Freshwater Ecosystems, 31(6), 1482-1498

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Journal Title:

Aquatic Conservation: Marine and Freshwater Ecosystems
Personal Author:

Friedland, Kevin D. ; Bachman, Michelle ; Davies, Andrew ; Frelat, Romain ; McManus, M. Conor ; ... More +

Friedland, Kevin D. ; Bachman, Michelle ; Davies, Andrew ; Frelat, Romain ; McManus, M. Conor ; Morse, Ryan ; Pickens, Bradley A. ; Smoliński, Szymon ; Tanaka, Kisei Less -
NOAA Program & Office:

NMFS (National Marine Fisheries Service) ; NEFSC (Northeast Fisheries Science Center)

NMFS (National Marine Fisheries Service) ; NEFSC (Northeast Fisheries Science Center) Less -
Description:

Species distribution models for marine organisms are increasingly used for a range of applications, including spatial planning, conservation, and fisheries management. These models have been constructed using a variety of mathematical forms and drawing on both physical and biological independent variables; however, what might be called first-generation models have mainly followed the form of linear models, or smoothing splines, informed by data collected in the context of fish surveys.
Keywords:

[+]

Aquatic Science Ecology Nature And Landscape Conservation
Source:

Aquatic Conservation: Marine and Freshwater Ecosystems, 31(6), 1482-1498
DOI:

https://doi.org/10.1002/aqc.3527
ISSN:

1052-7613;1099-0755;
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PDF
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Wiley
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Journal Article
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https://creativecommons.org/publicdomain/zero/1.0/
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CC0 Public Domain
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Submitted
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urn:sha256:2d3740fd71b1d056b471d913de269033ad15f8f1365978bf59f858f4a89713a1
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https://repository.library.noaa.gov/view/noaa/49200/noaa_49200_DS1.pdf
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Machine learning highlights the importance of primary and secondary production in determining habitat for marine fish and macroinvertebrates

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