Data Synthesis and Predictive Modeling of Deep-Sea Coral and Hardbottom Habitats Offshore of the Southeastern US: Guiding Efficient Discovery and Protection of Sensitive Benthic Areas
Data Synthesis and Predictive Modeling of Deep-Sea Coral and Hardbottom Habitats Offshore of the Southeastern US: Guiding Efficient Discovery and Protection of Sensitive Benthic Areas
Poti M, Goyert HF, Salgado EJ, Bassett R, Coyne M, Winship AJ, Etnoyer PJ, Hourigan TF, Coleman HM, Christensen J (National Oceanic & Atmospheric Administration, Silver Spring, MD). 2022. Data synthesis and predictive modeling of deep-sea coral and hardbottom habitats offshore of the southeastern US: guiding efficient discovery and protection of sensitive benthic areas. New Orleans (LA): US Department of the Interior, Bureau of Ocean Energy Management. 4 p. Obligation No.: M16PG00010. Report No.: OCS Study BOEM 2022-038. URL: https://espis.boem.gov/Technical%20Summaries/BOEM_2022-038.pdf
This study compiled records of the observed occurrence and developed models and maps of the predicted occurrence of deep-sea corals and hardbottom habitats offshore of the Southeastern United States. A database of presence-absence observations of deep-sea corals with associated measures of sampling effort and bottom type was compiled from 20 datasets containing data collected during underwater visual surveys conducted between 2001 and 2018. These observations were integrated with spatial environmental predictors depicting depth and seafloor topography, substrate, oceanography, and geography in statistical models (occupancy models) to predict and map the occurrence of 24 taxa of deep-sea corals and hardbottom habitats across the study area. The maps identify areas where these organisms and habitats are more likely and less likely to occur. In addition, a map of predicted genus richness was produced for the 23 genera of deep-sea corals included in the study. Information from the presence-absence database and maps of predicted occurrence and genus richness can inform and support environmental risk assessments, environmental impact statements, and other decision documents related to the review of proposed offshore energy development in the region.
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Chicago
Bureau of Ocean Energy Management, Interior Department. "Data Synthesis and Predictive Modeling of Deep-Sea Coral and Hardbottom Habitats Offshore of the Southeastern US: Guiding Efficient Discovery and Protection of Sensitive Benthic Areas". Government. Bureau of Ocean Energy Management, January 1, 2022. https://www.govinfo.gov/app/details/GOVPUB-I-2aab1f16167480841770b16e5bdd14bc
APA
Bureau of Ocean Energy Management, Interior Department. (2022, January 1). Data Synthesis and Predictive Modeling of Deep-Sea Coral and Hardbottom Habitats Offshore of the Southeastern US: Guiding Efficient Discovery and Protection of Sensitive Benthic Areas. [Government]. Bureau of Ocean Energy Management. https://www.govinfo.gov/app/details/GOVPUB-I-2aab1f16167480841770b16e5bdd14bc
MLA
Bureau of Ocean Energy Management, Interior Department. Data Synthesis and Predictive Modeling of Deep-Sea Coral and Hardbottom Habitats Offshore of the Southeastern US: Guiding Efficient Discovery and Protection of Sensitive Benthic Areas. Bureau of Ocean Energy Management, (1 Jan 2022), https://www.govinfo.gov/app/details/GOVPUB-I-2aab1f16167480841770b16e5bdd14bc
Bluebook
Bureau of Ocean Energy Management, Interior Department, Data Synthesis and Predictive Modeling of Deep-Sea Coral and Hardbottom Habitats Offshore of the Southeastern US: Guiding Efficient Discovery and Protection of Sensitive Benthic Areas, GovInfo, (January 1, 2022), https://www.govinfo.gov/app/details/GOVPUB-I-2aab1f16167480841770b16e5bdd14bc
