Parent Layer:
Mesoplodont beaked whales
Name: Mesoplodont beaked whales, annual
Display Field:
Type: Raster Layer
Geometry Type: null
Description: In 2014, the Marine Geospatial Ecology Lab (MGEL) of Duke University began work with the Northeast Regional Ocean Council (NROC), the NOAA National Centers for Coastal Ocean Science (NCCOS), the NOAA Northeast Fisheries Science Center (NEFSC) and Loyola University Chicago, as part of the Marine-life Data and Analysis Team (MDAT), to characterize and map marine life in the Northeast region in support of the Regional Ocean Plan. In 2015, the Mid-Atlantic Regional Council on the Ocean (MARCO) contracted with MDAT to build upon and expand this effort into the Mid-Atlantic planning area, and in support of the Mid-Atlantic Regional Ocean Plan. These research groups collaborated to produce “base layer” predictive model products with associated uncertainty products for cetacean species or species guilds and avian species, and three geospatial products for fish species. Periodic updates to these base layer models and data are produced by the individual institutions in the MDAT team based on schedules set by the funders of each modeling effort. MDAT member MGEL produced the original version of the cetacean products in 2015 as part of the US Navy funded project “Habitat-based cetacean density models for the U.S. Atlantic and Gulf of Mexico” (Roberts et al. 2016).The publication, downloadable model results, and supplementary information can be found here: http://seamap.env.duke.edu/models/Duke-EC-GOM-2015/ In 2017, MGEL updated the source data, covariates, and modeling methodology to produce new models for 11 cetacean species or species guilds, a subset of the previous set of models. An additional update using the same methodology and source data occurred in fall of 2018 for 12 cetacean species or species guilds. MDAT compiled the Atlantic habitat-based density model results and four products characterizing model uncertainty. The individual species maps represent the results of distance sampling modeling methodology applied to over 20 years of aerial and shipboard cetacean surveys, linked with remote sensing and ocean model environmental covariates. The models extend to the US EEZ boundary along the entire US Atlantic coast, and some model results extend into Canadian waters. The 95% and 5% Confidence Interval, the Coefficient of Variation, and Standard Error grids are provided as supporting statistical measures of model uncertainty.
Copyright Text: Principle Investigators:
MGEL Project: Jason J. Roberts, Laura Mannocci, Robert S. Schick, Patrick N. Halpin – Marine Geospatial Ecology Lab at Duke University
MDAT Project:
Patrick N. Halpin (PI) – Marine Geospatial Ecology Lab at Duke University; Earvin Balderama (Co-I) - Loyola University Chicago; Michael Fogarty (Co-I) - NOAA/NEFSC; Arliss Winship (Co-I) - NOAA/NCCOS
Collaborators:
Data providers and model reviewers:
Ei Fujioka
Debra L. Palka
Lance P. Garrison
Keith D. Mullin
Timothy V.N. Cole
Christin B. Khan
William A. McLellan
D. Ann Pabst
Susan G. Barco
Timothy A. Gowan
Right Whale EWS Teams
Robert A. DiGiovanni, Jr.
MDAT members:
Earvin Balderama (Co-I, Loyola University Chicago)
Jesse Cleary (Duke University)
Corrie Curtice (Duke University)
Michael Fogarty (Co-I, NOAA/NEFSC)
Patrick N. Halpin (PI, Duke University)
Brian Kinlan (NOAA/NCCOS)
Charles Perretti (NOAA/NEFSC)
Marta Ribera (TNC)
Jason Roberts (Duke University)
Emily Shumchenia (NROC)
Arliss Winship (Co-I, NOAA/NCCOS)
Methodology:
See Roberts et al. (2016, 2017, 2018). Datasets are listed in Table 5 of Curtice et al. (2019)
MDAT Technical Report:
Curtice, C., Cleary J., Shumchenia E., Halpin P.N. 2019. Marine-life Data and Analysis Team (MDAT) technical report on the methods and development of marine-life data to support regional ocean planning and management. Prepared on behalf of the Marine-life Data Analysis Team (MDAT). Accessed at: http://seamap.env.duke.edu/models/MDAT/MDAT-Technical-Report.pdf
Corrie Curtice-1, Jesse Cleary-2, Emily Schumchenia-3, Patrick Halpin-2
1 Marine Geospatial Ecology Laboratory, Nicholas School of the Environment, Duke University Marine Lab, Beaufort, NC, US
2 Marine Geospatial Ecology Laboratory, Duke University, Durham, NC, US
3 Northeast Regional Ocean Council, US
MGEL Scientific Reports publication:
Roberts J.J., Best B.D., Mannocci L., Fujioka E., Halpin P.N., Palka D.L., Garrison L.P., Mullin K.D., Cole T.V.N., Khan C.B., McLellan W.A., Pabst D.A. & Lockhart G.G. 2016. Habitat-based cetacean density models for the U.S. Atlantic and Gulf of Mexico. Scientific Reports 6: 22615. doi: 10.1038/srep22615. Accessed at: http://www.nature.com/articles/srep22615
Jason J. Roberts-1, Benjamin D. Best-1,2, Laura Mannocci-1, Ei Fujioka-1, Patrick N. Halpin-1, Debra L. Palka-3, Lance P. Garrison-4, Keith D. Mullin-5, Timothy V. N. Cole-3, Christin B. Khan-3, William A. McLellan-6, D. Ann Pabst-6 & Gwen G. Lockhart-7
1Marine Geospatial Ecology Laboratory, Nicholas School of the Environment, Duke University, Durham, NC, USA. 2Bren School of Environmental Sciences and Management, University of California, Santa Barbara, CA, USA. 3Northeast Fisheries Science Center, National Marine Fisheries Service, Woods Hole, MA, USA. 4Southeast Fisheries Science Center, National Marine Fisheries Service, Miami, FL, USA. 5Southeast Fisheries Science Center, National Marine Fisheries Service, Pascagoula, MS, USA. 6Biology and Marine Biology, University of North Carolina
Wilmington, NC, USA. 7Virginia Aquarium & Marine Science Center, Virginia Beach, VA, USA.
MGEL Navy 2017 Update Report:
Roberts J.J., Mannocci L., Halpin P.N. 2017. Final Project Report: Marine Species Density Data Gap Assessments and Update for the AFTT Study Area, 2016-2017 (Opt. Year 1). Document version 1.4. Report prepared for Naval Facilities Engineering Command, Atlantic by the Duke University Marine Geospatial Ecology Lab, Durham, NC.
Jason J. Roberts-1, Laura Mannocci-1 Patrick N. Halpin-1
1Marine Geospatial Ecology Laboratory, Nicholas School of the Environment, Duke University, Durham, NC, USA. MGEL Navy 2018 Update Report:
Roberts J.J., Mannocci L., Schick R.S., Halpin P.N. 2018 Final Project Report: Marine Species Density Data Gap Assessments and Update for the AFTT Study Area, 2017-2018 (Opt. Year 2). Document version 1.2. Report prepared for Naval Facilities Engineering Command, Atlantic by the Duke University Marine Geospatial Ecology Lab, Durham, NC.
Jason J. Roberts-1, Laura Mannocci-1, Rob Schick-1, Patrick N. Halpin-1
1Marine Geospatial Ecology Laboratory, Nicholas School of the Environment, Duke University, Durham, NC, USA. Resource Provider:
Marine Geospatial Ecology Lab (MGEL) at Duke University (marinelife_data@duke.edu), on behalf of MDAT.
Default Visibility: true
MaxRecordCount: 0
Supported Query Formats: JSON, geoJSON
Min Scale: 0
Max Scale: 0
Supports Advanced Queries: false
Supports Statistics: false
Has Labels: false
Can Modify Layer: false
Can Scale Symbols: false
Use Standardized Queries: true
Extent:
XMin: -337000.0000000002
YMin: -1071000.0000000019
XMax: 1703000.000000001
YMax: 1519000.0000000019
Spatial Reference: PROJCS["WGS_1984_Albers",GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Albers"],PARAMETER["false_easting",0.0],PARAMETER["false_northing",0.0],PARAMETER["central_meridian",-78.0],PARAMETER["standard_parallel_1",27.33333333333333],PARAMETER["standard_parallel_2",40.66666666666666],PARAMETER["latitude_of_origin",34.0],UNIT["Meter",1.0]]
Drawing Info:
Advanced Query Capabilities:
Supports Statistics: false
Supports OrderBy: false
Supports Distinct: false
Supports Pagination: false
Supports TrueCurve: false
Supports Returning Query Extent: true
Supports Query With Distance: true
Supports Sql Expression: false
Supports Query With ResultType: false
Supports Returning Geometry Centroid: false
Supports Binning LOD: false
Supports Query With LOD Spatial Reference: false
HasZ: false
HasM: false
Has Attachments: false
HTML Popup Type: esriServerHTMLPopupTypeNone
Type ID Field: null
Fields:
None
Supported Operations:
Query
Query Attachments
Generate Renderer
Return Updates
Iteminfo
Thumbnail
Metadata