NCCOS Assessment: U.S. West Coast Cross-Shelf Habitat Suitability Modeling of Deep-Sea Corals and Sponges, 2016-10-01 to 2020-09-30 (NCEI Accession 0276883)
收藏NOAA National Centers for Environmental Information2023-01-01 更新2026-04-23 收录
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https://www.ncei.noaa.gov/archive/accession/0276883
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资源简介:
This data collection contains geospatial data from models predicting the spatial distributions of deep-sea corals and sponges offshore of the continental U.S. West Coast to 1200 m depth. It includes raster datasets at 200 x 200 m spatial resolution depicting the mean of the predicted relative habitat suitability, the coefficient of variation of the predicted relative habitat suitability, the classified mean relative habitat suitability, and the ‘robust high’ habitat suitability prediction for each of 31 taxa of deep-sea corals and 15 taxa of sponges and raster datasets at 200 x 200 m spatial resolution depicting the number of taxa of deep-sea corals associated with hard substrate that have ‘high’ habitat suitability or ‘robust high’ habitat suitability at each grid cell. The data collection also includes raster datasets at 200 x 200 m spatial resolution depicting each of the 66 spatial environmental predictor variables considered for fitting the models.
提供机构:
NWFSC, Fishery Resource Analysis and Monitoring Division; US DOI, Bureau of Ocean Energy Management, Pacific Outer Continental Shelf Region; Institute of Marine Sciences, University of California, Santa Cruz and SWFSC, Fisheries Ecology Division; NOAA Northwest Fisheries Science Center; Lynker Technologies and NWFSC; Oregon State University, Hatfield Marine Science Center; CSS, Inc., under contract to NOAA National Centers for Coastal Ocean Science; Southern California Coastal Water Research Project; NOAA National Centers for Coastal Ocean Science; NOAA Deep Sea Coral Research and Technology Program; Institute of Marine Sciences, University of California, Santa Cruz and NOAA National Marine Fisheries Service; Southwest Fisheries Science Center; Fisheries Ecology Division
创建时间:
2023-01-01



