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

i

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

Public Domain

2021
By Friedland, Kevin D. ; Bachman, Michelle ; Davies, Andrew ; ...

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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 ; Morse, Ryan ; Pickens, Bradley A. ; Smoliński, Szymon ; Tanaka, Kisei
NOAA Program & Office:

NMFS (National Marine Fisheries Service) ; NEFSC (Northeast Fisheries Science Center)
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 Nature And Landscape Conservation 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
Format:

PDF
Publisher:

Wiley
Document Type:

Journal Article
License:

https://creativecommons.org/publicdomain/zero/1.0/
Rights Information:

CC0 Public Domain
Compliance:

Submitted
Main Document Checksum:

urn:sha256:2d3740fd71b1d056b471d913de269033ad15f8f1365978bf59f858f4a89713a1
Download URL:

https://repository.library.noaa.gov/view/noaa/49200/noaa_49200_DS1.pdf
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[PDF - 5.97 MB ]

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