Projected changes in habitat suitability for 33 marine species on the Northeast US shelf based on species distribution models fit to bottom trawl survey data from the NOAA Northeast Fisheries Science Center

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Date
2019-05-22
Authors
Rogers, Lauren
 Griffin, Robert
 Young, Talia
 Fuller, Emma
 St. Martin, Kevin
 Pinsky, Malin
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Files
dataset-765386_projected-changes-habitat-suitability__v1.tsv (137.82 KB)
dataset-765386_projected-changes-habitat-suitability__v1_README.txt (112 B)
Dataset_description.pdf (58.85 KB)
NOAA_ISO19115-2.xml (80.21 KB)
Alternative Title
Citable URI
https://hdl.handle.net/1912/24154
As Published
https://lod.bco-dmo.org/id/dataset/765386
Date Created
2019-04-22
Location
Northeast US Continental Shelf Large Marine Ecosystem
 westlimit: -76.875; southlimit: 33.625; eastlimit: -64.875; northlimit: 44.875
DOI
10.1575/1912/bco-dmo.765386.1
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Abstract
Projected changes in habitat suitability for 33 marine species on the Northeast US shelf. Changes in habitat suitability are calculated based on species distribution models fit to bottom trawl survey data from the NOAA Northeast Fisheries Science Center. Positive values indicate an increase in habitat suitability by 2040-2050 relative to historical (1963-2005). The spatial resolution of projections is 0.25 x 0.25 degrees. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/765386
Description
Dataset: Projected changes in habitat suitability
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Citation
Rogers, L., Griffin, R., Young, T., Fuller, E., St. Martin, K., & Pinsky, M. (2019). Projected changes in habitat suitability for 33 marine species on the Northeast US shelf based on species distribution models fit to bottom trawl survey data from the NOAA Northeast Fisheries Science Center. Biological and Chemical Oceanography Data Management Office. https://doi.org/10.1575/1912/bco-dmo.765386.1
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Biological and Chemical Oceanography Data Management Office Data Sets
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