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OAS accession Detail for 0155189, meta_version: 4. Current meta_version is: 10
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| accessions_id: | 0155189 | archive |
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| Title: | Marine Biogeographic Assessment of the Main Hawaiian Islands: Synthesized physical and biological data offshore of the Main Hawaiian Islands from 1891-01-01 to 2015-03-01 (NCEI Accession 0155189) |
| Abstract: | The Bureau of Ocean Energy Management (BOEM) regulates the leasing, construction and operation of renewable energy projects in federal waters, and is required to evaluate potential human, coastal and marine impacts from these projects. In 2013, the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) partnered with BOEM to support their review of renewable energy lease requests offshore of the Main Hawaiian Islands (MHI). Collaborations with a variety of local federal, state, academic and non-governmental organizations were crucial for this work. NCCOS compiled existing, readily-available spatial data and synthesized new products around the MHI, describing the physical and biological marine environment, benthic habitats, fishes, sea turtles, marine mammals, and seabirds. Analyses and data products were specifically tailored to meet BOEM’s needs, and to fit within BOEM’s framework of offshore lease blocks. Data products range from simple animal distribution maps to mathematical models depicting the predicted distributions of animals. For some animals, this assessment marks the first time that their space-use patterns were mapped or modeled in the MHI, and made available online. These datasets are one component of the larger BOEM and State of Hawai‘i processes to evaluate offshore renewable energy proposals around the MHI. |
| Date received: | 20160629 |
| Start date: | 18910101 |
| End date: | 20150301 |
| Seanames: | |
| West boundary: | -163.363861 |
| East boundary: | -151.04374 |
| North boundary: | 25.591175 |
| South boundary: | 15.472882 |
| Observation types: | |
| Instrument types: | |
| Datatypes: | |
| Submitter: | Costa, Bryan |
| Submitting institution: | US DOC; NOAA; NOS; National Centers for Coastal Ocean Science |
| Collecting institutions: | |
| Contributing projects: | |
| Platforms: | |
| Number of observations: | |
| Supplementary information: | The state of Hawai‘i is working to develop local renewable energy sources to reduce its dependence on fossil fuels. Most of the State’s potential renewable energy resources (notably, wind) are located in federal waters from 3 to 200 nm offshore. The Bureau of Ocean Energy Management (BOEM) regulates the leasing, construction and operation of renewable energy projects in federal waters, and is required to evaluate potential human, coastal and marine impacts from these projects. BOEM partnered with the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) to gather biogeographic information in support of this evaluation around the Main Hawaiian Islands (MHI). The complexity of products from this assessment range from simple animal distribution maps to mathematical models depicting the predicted distributions of animals. Biogeographic analyses and data products were specifically tailored to meet BOEM’s needs, and designed to fit within BOEM’s framework of offshore lease blocks. This biogeographic assessment addresses three main questions: (1) how are select species or taxonomic groups distributed spatially and temporally around the MHI?; (2) what environmental conditions influence these distributions?; and (3) what significant gaps exist in our knowledge about the biogeography of the area? To answer these questions, readily-available spatial information was compiled and synthesized, including information on the physical and biological environment, benthic habitats, fishes, sea turtles, marine mammals, and seabirds. The assessment focused on federal waters and taxa that were: (1) more likely to interact with renewable energy infrastructure, (2) culturally significant, (3) legally protected, and/or (4) economically valuable. Collaborations with local managers, scientists, and experts from a variety of federal, state, academic and non-governmental organizations were crucial. These partners contributed their data, time and expertise, and many were contributing coauthors on the final report. The biogeography of the MHI is shaped by atmospheric and oceanographic conditions that operate at different temporal and spatial scales around the islands. Marine animals respond to these changing conditions in different ways. Some taxonomic groups and species use the same locations year round (e.g., on Penguin Bank or offshore of the Kona Coast, Hawaiʻi), while most taxa utilize different geographic areas at different times of the year. Understanding these spatial and temporal patterns is critical for marine spatial planning efforts. For some taxa, this marine biogeographic assessment marks the first time that their space-use patterns were mapped or modeled in the MHI, and the associated data compilation made available online. It establishes a baseline for assessing potential impacts, a guide for monitoring change, a roadmap for prioritizing how to fill data gaps, and a framework for integrating ocean research and management efforts moving forward. This archive includes the following geospatial datasets: Introduction (Background): 1.Boundaries – Marine Managed Areas, De Facto Marine Managed Areas, Marine Managed Areas and Regulations, Project Area, Shoreline, Federal Waters, State Waters 2.Elevation – Elevation, Elevation (Standard Deviation) 3.Raster Navigational Charts – 00540, 19004, 19010, 19013, 19320, 19340, 19380 Environmental Setting: 1. Atmosphere – Wind Direction (Summer/Winter Circular Mean); Wind Divergence (Summer/Winter Mean); Wind Speed (Summer/Winter Mean & Standard Deviation); Wind Speed in the East-West Direction(Summer/Winter Mean & Standard Deviation); Wind Speed in the North-South Direction (Summer/Winter Mean & Standard Deviation) 2. Biological Oceanography - Chlorophyll-a Concentrations (Summer/Winter Mean & Standard Deviation); Chlorophyll-a Front Frequency (Summer/Winter Mean); Chlorophyll-a Front Persistence (Summer/Winter Mean); Chlorophyll-a Front Strength (Summer/Winter Mean), NPP-Net Primary Productivity (Summer/Winter Mean) 3.Distance – Seamounts (100 to 2,750 m deep); Seamounts (100 to 4,500 m deep); Shelf Edge; Shoreline; Distance to Seamounts (100 to 2,750 m deep); Distance to Seamounts (100 to 4,500 m deep); Distance to Shelf Edge; Distance to Shoreline 4. Physical Oceanography - a. Water Clarity: Euphotic Depth (Summer/Winter Mean); Turbidity at 547 nm (Summer/Winter Mean & Standard Deviation) b. Water Height: Sea Surface Height Maps of Absolute Dynamic Topography (Summer/Winter Mean & Standard Deviation) c. Water Movement: Bottom Current Direction (Annual Circular Mean); Bottom Current Speed (Annual Mean & Standard Deviation); Bottom Current Speed in the East-West Direction (Annual Mean); Bottom Current Speed in the North-South Direction (Annual Mean); Mixed Layer Depth (Summer/Winter Mean); Probability of Anti-cyclonic Eddy Rings (Summer/Winter Mean); Probability of Cyclonic Eddy Rings (Summer/Winter Mean); Probability of Eddy Rings (Summer/Winter Mean); Surface Current Direction (Summer/Winter Circular Mean); Surface Current Divergence (Summer/Winter Mean); Surface Current Speed (Summer/Winter Mean & Standard Deviation); Surface Current Speed in the East-West Direction (Summer/Winter Mean); Surface Current Speed in the North-South Direction (Summer/Winter Mean); Surface Current Vorticity (Summer/Winter Mean); Upwelling (Summer/Winter Mean) d. Water Temperature: Bottom Temperature (Annual Mean); Sea Surface Temperature (Summer/Winter Mean & Standard Deviation); SST Anomaly Frequency (Summer/Winter Mean); SST Front Frequency (Summer/Winter Mean); SST Front Persistence (Summer/Winter Mean); SST Front Strength (Summer/Winter Mean); Thermal Stress Anomaly Frequency (Summer/Winter Mean) e. Waves: Peak Period (Summer/Winter Mean & Standard Deviation); Significant Height (Summer/Winter Mean & Standard Deviation) 5. Seafloor Depth – Depth; Depth Model; Depth Model Uncertainty (Difference); Depth Model Uncertainty (Standard Error); Depth Source (0 to 100 m); Depth Source (100 to 7,000 m) 6. Seafloor Surveys – Digital Depth Data (1900 to 2009); Ship Tracklines Multibeam SoNARs (1984 to 2014); Ship Tracklines Singlebeam SoNARs (1956 to 2009) 7. Seafloor Topography –Total Curvature (Mean); Planform or Plan Curvature (Mean); Profile Curvature (Mean); Depth (Mean & Standard Deviation); Rugosity (Mean); Slope (Mean); Slope Rate of Change or Slope of Slope (Mean) Benthic Habitats: 1. Shallow – a. Compiled habitat records: coral richness (mean and by year), biological cover (mean and by year) b. Benthic habitat map, benthic habitat video and photo locations (and key) 2. Mesophotic – a. Compiled survey records: presences and absences of Leptoseris spp., Porites spp., Montipora spp. b. Environmental predictors: seafloor topography, geography, physical oceanography c. Model predictions: probability of occurrence and standard error for Leptoseris spp., Porites spp., Montipora spp. 3. Deep – a. Compiled survey records (and key): presences of Gold corals (Kulamanamana haumeaae); Framework-forming Scleractinia (includes Enallopsammia rostrata, Madracis kauaiensis, Madrepora oculata, Scleractinia “bramble”); Non-framework-forming Scleractinia (includes all Scleractinia identified at the family level that are not in Framework-forming Scleractinia); Antipatharia, shallow depth genera (30-100 m; includes Antipathes, Cirrhipathes); Antipatharia, mid-depth genera (100-300 m; includes Acanthopathes, Antipathella, Myriopathes, Stichopathes); Antipatharia, deep genera (>300 m; includes Aphanipathes, Bathypathes, Chrysopathes, Dendropathes, Leiopathes, Parantipathes, Stauropathes, Trissopathes, Umbellapathes); Pennatulacea, hard substrate (includes Anthoptilum and Calibelemnon); Pennatulacea, soft substrate (includes all Pennatulacea genera not in Pennatulacea, hard substrate); Non-gorgonian Alcyonacea (includes Suborders Alcyoniina, Stolonifera); Gorgonian Alcyonacea (includes Suborders Calcaxonia, Holaxonia, Scleraxonia); Calcaxonia; Bamboo coral (Isididae); Holaxonia; Scleraxonia; Red and Pink Coral (Corallium spp.); Bubblegum coral (Paragorgiidae) b. Environmental predictors: seafloor topography, geography, oceanography c. Model predictions: classified habitat suitability likelihood and habitat suitability likelihood class variability for Gold corals (Kulamanamana haumeaae); Framework-forming Scleractinia (includes Enallopsammia rostrata, Madracis kauaiensis, Madrepora oculata, Scleractinia “bramble”); Non-framework-forming Scleractinia (includes all Scleractinia identified at the family level that are not in Framework-forming Scleractinia); Antipatharia, shallow depth genera (30-100 m; includes Antipathes, Cirrhipathes); Antipatharia, mid-depth genera (100-300 m; includes Acanthopathes, Antipathella, Myriopathes, Stichopathes); Antipatharia, deep genera (>300 m; includes Aphanipathes, Bathypathes, Chrysopathes, Dendropathes, Leiopathes, Parantipathes, Stauropathes, Trissopathes, Umbellapathes); Pennatulacea, hard substrate (includes Anthoptilum and Calibelemnon); Pennatulacea, soft substrate (includes all Pennatulacea genera not in Pennatulacea, hard substrate); Non-gorgonian Alcyonacea (includes Suborders Alcyoniina, Stolonifera); Gorgonian Alcyonacea (includes Suborders Calcaxonia, Holaxonia, Scleraxonia); Calcaxonia; Bamboo coral (Isididae); Holaxonia; Scleraxonia; Red and Pink Coral (Corallium spp.); Bubblegum coral (Paragorgiidae); 4 or more genera; 7 or more genera Fishes: 1. Bottom fish – a. Compiled BotCam observations (within the BOEM lease block/aliquot system): BotCam sites, Species richness of Deep7, and Relative abundance of Deep7 on hard and soft substrate types b. Compiled DAR fishery records (for bottom fish within DAR’s reporting framework): Reporting areas, deep-sea hand line (DSHL) fishing effort for bottom fish, total catch of Deep7, and catch-per-unit-effort (CPUE) of Deep 7 2. Reef fish communities – a. Compiled survey records: total species richness, total biomass, species richness of endemics, biomass of endemics, biomass of resource fish b. Environmental predictors: Seafloor topography, geography, physical oceanography, benthic habitat composition c. Reef fish predictions, maps & coefficient of variation: Total species richness, total biomass, species richness of endemics, biomass of endemics, biomass of resource fish divided into 4 island groups (Hawaiʻi, Kauaʻi, Maui Nui, and Oʻahu) 3. Ancillary datasets – Coral Reef Ecosystem Essential Fish Habitat (EFH), Bottom fish Essential Fish Habitat (EFH), Bottom fish Restricted Fishing Areas, Marine Life Conservation Districts and Fishery Management Areas, Fish Aggregating Devices (FADs) Sea Turtles: 1. Basking locations – Green Turtles 2. Nesting locations - Green, Hawksbill, Leatherback and Olive Ridley turtles 3. Stranding locations - Green, Hawksbill, Loggerhead and Olive Ridley turtles 4. Ancillary datasets – U.S. Census Tracts & Human Population Density, Environmental Sensitivity Index (ESI) Shoreline, Cliffs and Beaches Marine Mammals: 1. Cetacean sighting locations (Summer and/or Winter) – Blainville’s beaked whale (Mesoplodon densirostris), Bryde’s whale (Balaenoptera edeni), Common bottlenose dolphin (Tursiops truncatus), Cuvier’s beaked whale (Ziphius cavirostris), Dwarf sperm whale (Kogia sima), False killer whale (Pseudorca crassidens), Fin whale (Balaenoptera physalus), Fraser’s dolphin (Lagenodelphis hosei), Humpback whale (Megaptera novaeangliae), Killer whale (Orcinus orca), Longman’s beaked whale (Indopacetus pacificus), Melon-headed whale (Peponocephala electra), Pantropical spotted dolphin (Stenella attenuata), Pygmy killer whale (Feresa attenuata), Pygmy sperm whale (Kogia breviceps), Risso’s dolphin (Grampus griseus), Rough-toothed dolphin (Steno bredanensis), Sei whale (Balaenoptera borealis), Short-finned pilot whale (Globicephala macrorhynchus), Sperm whale (Physeter macrocephalus), Spinner dolphin (Stenella longirostris), Striped dolphin (Stenella coeruleoalba) 2. Cetacean model predictions (Relative Abundance) (Summer and/or Winter) - Common bottlenose dolphin (Tursiops truncatus), Humpback whale (Megaptera novaeangliae), Pantropical spotted dolphin (Stenella attenuata), Rough-toothed dolphin (Steno bredanensis), Short-finned pilot whale (Globicephala macrorhynchus), Sperm whale (Physeter macrocephalus), Spinner dolphin (Stenella longirostris) 3. Cetacean model predictions (CV, Coefficient of Variation) (Summer and/or Winter) – Common bottlenose dolphin (Tursiops truncatus), Humpback whale (Megaptera novaeangliae), Pantropical spotted dolphin (Stenella attenuata), Rough-toothed dolphin (Steno bredanensis), Short-finned pilot whale (Globicephala macrorhynchus), Sperm whale (Physeter macrocephalus), Spinner dolphin (Stenella longirostris) 4. Hawaiian monk seal (Neomonachus schauinslandi) telemetry detection densities mapped within 1.2x1.2 km grid derived from 19 individual seals tracked between 2007 to 2014 5. Hawaiian monk seal (Neomonachus schauinslandi) presences mapped within 5x5 km grid derived from sightings data recorded between 2007 to 2011 6. Hawaiian monk seal (Neomonachus schauinslandi) critical terrestrial and marine habitats protected under the Endangered Species Act (1972) Seabirds: 1. Sighting locations (Summer and/or Winter) – Band-rumped Storm-Petrel (Oceanodroma castro), Black-footed Albatross (Phoebastria nigripes), Black Noddy (Anous minutus), Black-winged Petrel (Pterodroma nigripennis), Blue-gray Noddy (Procelsterna cerulea), Brown Booby (Sula leucogaster), Brown Noddy (Anous stolidus), Bulwer’s Petrel (Bulweria bulwerii), Christmas Shearwater (Puffinus nativitatis), Cook’s Petrel (Pterodroma cookii), Great Frigatebird (Fregata minor), Hawaiian Petrel (Pterodroma sandwichensis), Juan Fernandez Petrel (Pterodroma externa), Laysan Albatross (Phoebastria immutabilis), Masked Booby (Sula dactylatra), Mottled Petrel (Pterodroma inexpectata), Newell’s Shearwater (Puffinus newelli), Red-footed Booby (Sula sula), Red-tailed Tropicbird (Phaethon rubricauda), Sooty Shearwater (Puffinus griseus), Sooty Tern (Onychoprion fuscatus), Wedge-tailed Shearwater (Puffinus pacificus), White-tailed Tropicbird (Phaethon lepturus), White Tern (Gygis alba) 2. Foraging range - Black-footed Albatross (Phoebastria nigripes), Black Noddy (Anous minutus), Blue-gray Noddy (Procelsterna cerulea), Brown Noddy (Anous stolidus), Great Frigatebird (Fregata minor), Laysan Albatross (Phoebastria immutabilis), Masked Booby (Sula dactylatra), Red-tailed Tropicbird (Phaethon rubricauda) 3. Model predictions (Relative Density) - Black-winged Petrel (Pterodroma nigripennis), Brown Booby (Sula leucogaster), Bulwer’s Petrel (Bulweria bulwerii), Cook’s Petrel (Pterodroma cookii), Hawaiian Petrel (Pterodroma sandwichensis), Juan Fernandez Petrel (Pterodroma externa), Mottled Petrel (Pterodroma inexpectata), Newell’s Shearwater (Puffinus newelli), Red-footed Booby (Sula sula), Sooty Shearwater (Puffinus griseus), Sooty Tern (Onychoprion fuscatus), Wedge-tailed Shearwater (Puffinus pacificus), White-tailed Tropicbird (Phaethon lepturus), White Tern (Gygis alba) 4. Model predictions (CV, Coefficient of Variation) – Black-winged Petrel (Pterodroma nigripennis), Brown Booby (Sula leucogaster), Bulwer’s Petrel (Bulweria bulwerii), Cook’s Petrel (Pterodroma cookii), Hawaiian Petrel (Pterodroma sandwichensis), Juan Fernandez Petrel (Pterodroma externa), Mottled Petrel (Pterodroma inexpectata), Newell’s Shearwater (Puffinus newelli), Red-footed Booby (Sula sula), Sooty Shearwater (Puffinus griseus), Sooty Tern (Onychoprion fuscatus), Wedge-tailed Shearwater (Puffinus pacificus), White-tailed Tropicbird (Phaethon lepturus), White Tern (Gygis alba) Submission Package ID: HJ6HF2 |
| Availability date: | |
| Metadata version: | 4 |
| Keydate: | 2016-06-30 14:15:04+00 |
| Editdate: | 2016-07-27 17:20:43+00 |