{
 "currentVersion": 10.41,
 "id": 55,
 "name": "mammal_abundance_Cetaceans_absolute_clip",
 "type": "Raster Layer",
 "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 \u201cbase layer\u201d 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.Because base layers total in the thousands, efforts to develop a general understanding of the overall richness or diversity in a particular area are not well served by the individual base products. To address this gap and other potential management applications as identified by the NE RPB and others, MDAT has created several types of summary map products from these base layers. Summary products are comprised of data layers from multiple species, and were created to allow quick access to map summaries about potential biological, management, or sensitivity groups of interest. These summary products include total abundance or biomass, species richness, and diversity for all modeled/sampled groups of species and are useful tools for seeing broad patterns in the underlying data or model results.An additional map product was created to highlight the core areas of highest abundance or biomass by species groups, using a 50% population threshold. Group core area richness maps aid users in identifying the \u201chotspots\u201d of where certain groups of species have the highest abundance or biomass. Core area richness maps were created for three spatial extents: 1) the full US east coast; 2) the Northeast planning area and 3) the Mid-Atlantic area of interest. Because these products are dependent on the total extent of the input data, core area abundance/biomass products will differ at each extent.",
 "geometryType": null,
 "copyrightText": "Principle Investigators:\nMDAT Project:\nPatrick N. Halpin (PI) \u2013 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\n\nMGEL Project: Jason J. Roberts, Laura Mannocci, Robert S. Schick, Patrick N. Halpin \u2013 Marine Geospatial Ecology Lab at Duke University\n\nCollaborators:\nMDAT members:\nEarvin Balderama (Co-I, Loyola University Chicago)\nJesse Cleary (Duke University)\nCorrie Curtice (Duke University)\nMichael Fogarty (Co-I, NOAA/NEFSC)\nPatrick N. Halpin (PI, Duke University)\nBrian Kinlan (NOAA/NCCOS)\nCharles Perretti (NOAA/NEFSC)\nMarta Ribera (TNC)\nJason Roberts (Duke University)\nEmily Shumchenia (NROC)\nArliss Winship (Co-I, NOAA/NCCOS)\n\n\nMethodology:\nSee Curtice et al. (2019) Section 3. \n\n2018 v2.0 Update: v2.0 updates the group diversity and species richness products. Prior to group diversity and richness calculations, each individual species layer was pre-filtered to contain only the cells that are included in the area holding 95% of the total predicted abundance for the species. In addition, individual species models that are stratified density (vs habitat-based density) models are excluded from all group summary products.\n\n2019 v2.1 Update: No methods were updated for this release.\n\nDatasets are listed in Table 5 of Curtice et al. (2019)\n\n\nMDAT Technical Report:\nCurtice, 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\n\n Corrie Curtice-1, Jesse Cleary-2, Emily Schumchenia-3, Patrick Halpin-2\n1 Marine Geospatial Ecology Laboratory, Nicholas School of the Environment, Duke University Marine Lab, Beaufort, NC, US\n2 Marine Geospatial Ecology Laboratory, Duke University, Durham, NC, US\n3 Northeast Regional Ocean Council, US\n\n\nMGEL publication on cetacean individual species models:\nRoberts 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\n\n 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\n1Marine Geospatial Ecology Laboratory, Nicholas School of the Environment, Duke University, Durham, NC, USA. \n2Bren School of Environmental Sciences and Management, University of California, Santa Barbara, CA, USA. \n3Northeast Fisheries Science Center, National Marine Fisheries Service, Woods Hole, MA, USA. \n4Southeast Fisheries Science Center, National Marine Fisheries Service, Miami, FL, USA. \n5Southeast Fisheries Science Center, National Marine Fisheries Service, Pascagoula, MS, USA. \n6Biology and Marine Biology, University of North Carolina\nWilmington, NC, USA. \n7Virginia Aquarium & Marine Science Center, Virginia Beach, VA, USA.\n\n\nMGEL Navy 2017 Update Report:\nRoberts 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.\n\nJason J. Roberts-1, Laura Mannocci-1, Patrick N. Halpin-1\n1Marine Geospatial Ecology Laboratory, Nicholas School of the Environment, Duke University, Durham, NC, USA. \n\n\nMGEL Navy 2018 Update Report:\nRoberts 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.\n\nJason J. Roberts-1, Laura Mannocci-1, Rob Schick-1, Patrick N. Halpin-1\n1Marine Geospatial Ecology Laboratory, Nicholas School of the Environment, Duke University, Durham, NC, USA. \n\n\nResource Provider:\nMarine Geospatial Ecology Lab (MGEL) at Duke University (marinelife_data@duke.edu), on behalf of MDAT.",
 "parentLayer": {
  "id": 51,
  "name": "All Cetaceans Total Abundance"
 },
 "subLayers": [],
 "minScale": 0,
 "maxScale": 0,
 "defaultVisibility": false,
 "extent": {
  "xmin": -7961089.615266695,
  "ymin": 5017609.030576958,
  "xmax": -7316260.399633145,
  "ymax": 5750574.673494922,
  "spatialReference": {
   "wkid": 102100,
   "latestWkid": 3857
  }
 },
 "hasAttachments": false,
 "htmlPopupType": "esriServerHTMLPopupTypeNone",
 "displayField": "",
 "typeIdField": null,
 "fields": null,
 "indexes": [],
 "relationships": [],
 "canModifyLayer": false,
 "canScaleSymbols": false,
 "hasLabels": false,
 "capabilities": "Map,Query",
 "supportsStatistics": false,
 "supportsAdvancedQueries": false,
 "supportedQueryFormats": "JSON, AMF, geoJSON",
 "ownershipBasedAccessControlForFeatures": {"allowOthersToQuery": true},
 "useStandardizedQueries": true,
 "advancedQueryCapabilities": {
  "useStandardizedQueries": true,
  "supportsStatistics": false,
  "supportsOrderBy": false,
  "supportsDistinct": false,
  "supportsPagination": false,
  "supportsTrueCurve": false,
  "supportsReturningQueryExtent": true,
  "supportsQueryWithDistance": true
 }
}