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Service Description: Papahānaumokuākea Marine National Monument (PMNM) was established in 2006. In 2016, its boundaries were expanded, making it the largest marine protected area in the world. Since its expansion, PMNM identified a critical need for additional information characterizing the extent of vulnerable and ecologically significant deep-sea communities in the expanded boundaries. Predictive spatial modeling has become a cost-effective tool for identifying potential distributions of DSCSs in areas where data are sparse, yet information is needed to support a range of conservation and management decisions. To address this need, NOAA National Centers for Coastal Ocean Science (NCCOS), developed spatial predictions depicting the distribution of 22 deep-sea coral and sponge (DSCS) taxa within the PMNM. These predictions were created by integrating DSCS observations with environmental data using mathematical modeling techniques. These DSCS predictions were then qualitatively validated by local experts, and used to identify and prioritize sites for future exploration and research in PMNM. This work was conducted in close partnership with NOAA PMNM, NOAA Deep-sea Coral Research and Technology Program (DSCRTP), Hawaii Undersea Research Laboratory (HURL), and Florida State University (FSU). It was funded by NOAA NCCOS and leverages investments made by several organizations, including NOAA DSCRTP, NOAA Office of Exploration and Research (OER) and Ocean Exploration Trust.

Map Name: Papahanaumokuakea Marine National Monument Deep-Sea Coral and Sponge Modeling

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Layers:

• Papahanaumokuakea Marine National Monument (0)
• DSCS - Observed Occurrence (1)
  • Acanella (2)
  • Acanthogorgia (3)
  • Anthomastus (4)
  • Bathypathes (5)
  • Bolosoma (6)
  • Candidella (7)
  • Caulophacus (8)
  • Chrysogorgia (9)
  • Enallopsammia rostrata (10)
  • Hemicorallium (11)
  • Iridogorgia (12)
  • Isidella trichotoma (13)
  • Kulamanamana haumeaae (14)
  • Metallogorgia (15)
  • Narella (16)
  • Paragorgia (17)
  • Pleurocorallium (18)
  • Poliopogon (19)
  • Rhodaniridogorgia (20)
  • Stauropathes (21)
  • Tretopleura (22)
  • Walteria (23)
• DSCS - Predicted Occurrence and Precision (100)
  • Acanella - Probability of Occurrence (101)
  • Acanella - Coefficent of Variation (102)
  • Acanthogorgia - Probability of Occurrence (103)
  • Acanthogorgia - Coefficent of Variation (104)
  • Anthomastus - Probability of Occurrence (105)
  • Anthomastus - Coefficent of Variation (106)
  • Bathypathes - Probability of Occurrence (107)
  • Bathypathes - Coefficent of Variation (108)
  • Bolosoma - Probability of Occurrence (109)
  • Bolosoma - Coefficent of Variation (110)
  • Candidella - Probability of Occurrence (111)
  • Candidella - Coefficent of Variation (112)
  • Caulophacus - Probability of Occurrence (113)
  • Caulophacus - Coefficent of Variation (114)
  • Chrysogorgia - Probability of Occurrence (115)
  • Chrysogorgia - Coefficent of Variation (116)
  • Enallopsammia rostrata - Probability of Occurrence (117)
  • Enallopsammia rostrata - Coefficent of Variation (118)
  • Hemicorallium - Probability of Occurrence (119)
  • Hemicorallium - Coefficent of Variation (120)
  • Iridogorgia - Probability of Occurrence (121)
  • Iridogorgia - Coefficent of Variation (122)
  • Isidella trichotoma - Probability of Occurrence (123)
  • Isidella trichotoma - Coefficent of Variation (124)
  • Kulamanamana haumeaae - Probability of Occurrence (125)
  • Kulamanamana haumeaae - Coefficent of Variation (126)
  • Metallogorgia - Probability of Occurrence (127)
  • Metallogorgia - Coefficent of Variation (128)
  • Narella - Probability of Occurrence (129)
  • Narella - Coefficent of Variation (130)
  • Paragorgia - Probability of Occurrence (131)
  • Paragorgia - Coefficent of Variation (132)
  • Pleurocorallium - Probability of Occurrence (133)
  • Pleurocorallium - Coefficent of Variation (134)
  • Poliopogon - Probability of Occurrence (135)
  • Poliopogon - Coefficent of Variation (136)
  • Rhodaniridogorgia - Probability of Occurrence (137)
  • Rhodaniridogorgia - Coefficent of Variation (138)
  • Stauropathes - Probability of Occurrence (139)
  • Stauropathes - Coefficent of Variation (140)
  • Tretopleura - Probability of Occurrence (141)
  • Tretopleura - Coefficent of Variation (142)
  • Walteria - Probability of Occurrence (143)
  • Walteria - Coefficent of Variation (144)
• DSCS - Observed Number of Taxa (200)
• DSCS - Predicted Number of Taxa (201)
• Depth (202)

Description: Predictive spatial models were developed for 22 deep-sea coral and sponge (DSCS) taxa within the Papahānaumokuākea Marine National Monument (PMNM). These models denote the probability of occurrence for these taxa of deep-sea coral and sponges, establishing a baseline for the distribution of these vulnerable and ecologically significant communities in the northwest Hawaiian Islands. This baseline will support management planning, permitting, exploration and sanctuary designation efforts by the Monument. For more information, see https://coastalscience.noaa.gov/project/predicting-and-characterizing-deep-sea-coral-habitats-within-the-papahanaumokuakea-marine-national-monument/

Copyright Text: NOAA NCCOS

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Document Info:

Title: Predicting and Characterizing Deep-Sea Coral Habitats within the Papahānaumokuākea Marine National Monument, Hawaii, 1998-01-01 to 2018-12-31
Author: NOAA NCCOS, Costa B.
Comments: Papahānaumokuākea Marine National Monument (PMNM) was established in 2006. In 2016, its boundaries were expanded, making it the largest marine protected area in the world. Since its expansion, PMNM identified a critical need for additional information characterizing the extent of vulnerable and ecologically significant deep-sea communities in the expanded boundaries. Predictive spatial modeling has become a cost-effective tool for identifying potential distributions of DSCSs in areas where data are sparse, yet information is needed to support a range of conservation and management decisions. To address this need, NOAA National Centers for Coastal Ocean Science (NCCOS), developed spatial predictions depicting the distribution of 22 deep-sea coral and sponge (DSCS) taxa within the PMNM. These predictions were created by integrating DSCS observations with environmental data using mathematical modeling techniques. These DSCS predictions were then qualitatively validated by local experts, and used to identify and prioritize sites for future exploration and research in PMNM. This work was conducted in close partnership with NOAA PMNM, NOAA Deep-sea Coral Research and Technology Program (DSCRTP), Hawaii Undersea Research Laboratory (HURL), and Florida State University (FSU). It was funded by NOAA NCCOS and leverages investments made by several organizations, including NOAA DSCRTP, NOAA Office of Exploration and Research (OER) and Ocean Exploration Trust.
Subject: Predictive spatial models were developed for 22 DSCS taxa within the Papahānaumokuākea Marine National Monument (PMNM).
Category:
Keywords: Marine Spatial Ecology; Ecological and Biogeographic Assessments; Regional Ecosystem Science; Vulnerability and Risk Assessment; Pacific Ocean; U.S. States and Territories; Hawaii; Model; Derived Data Product
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