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The Ocean GIS partnership includes: North Carolina Department of Environment and Natural Resources - Division of Coastal Management, South Carolina Department of Health and Environmental Control, Florida Coastal Management Program, Georgia Department of Natural Resources - Coastal Resources Division, NOAA Office of Ocean and Coastal Resource Management, U.S. Department of Interior - Minerals Management Service, Florida Marine Research Institute, and NOAA Coastal Services Center. OPIS provides marine resource managers with timely and equitable access to downloadable data, cutting-edge online mapping functionality, and guidance on how to use GIS in a meaningful way with respect to ocean management. THE DATA INCLUDED IN THIS APPLICATION ARE BASED ON INTERPRETATION OF AVAILABLE INFORMATION AND SHOULD NOT BE CONSTRUED AS LEGALLY BINDING.", "geometryType": "esriGeometryPolygon", "sourceSpatialReference": {"wkt": "PROJCS[\"PCS_Albers\",GEOGCS[\"GCS_North_American_1983\",DATUM[\"D_North_American_1983\",SPHEROID[\"GRS_1980\",6378137.0,298.257222101]],PRIMEM[\"Greenwich\",0.0],UNIT[\"Degree\",0.0174532925199433]],PROJECTION[\"Albers\"],PARAMETER[\"False_Easting\",400000.0],PARAMETER[\"False_Northing\",0.0],PARAMETER[\"Central_Meridian\",-84.0],PARAMETER[\"Standard_Parallel_1\",24.0],PARAMETER[\"Standard_Parallel_2\",31.5],PARAMETER[\"Latitude_Of_Origin\",24.0],UNIT[\"Meter\",1.0]]"}, "copyrightText": "", "parentLayer": { "id": 15, "name": "MANAGEMENT" }, "subLayers": [], "minScale": 0, "maxScale": 0, "drawingInfo": { "renderer": { "type": "simple", "symbol": { "type": "esriSFS", "style": "esriSFSBackwardDiagonal", "color": [ 255, 115, 223, 255 ], "outline": { "type": "esriSLS", "style": "esriSLSSolid", "color": [ 255, 115, 223, 255 ], "width": 3 } }, "label": "", "description": "" }, "transparency": 0, "labelingInfo": null }, "defaultVisibility": false, "extent": { "xmin": -8915916.800120628, "ymin": 2960494.452633639, "xmax": -8913290.577705365, "ymax": 2963737.759341976, "spatialReference": { "wkid": 102100, "latestWkid": 3857 } }, "hasAttachments": false, "htmlPopupType": "esriServerHTMLPopupTypeAsHTMLText", "displayField": "AREA_NAME", "typeIdField": null, "subtypeFieldName": null, "subtypeField": null, "defaultSubtypeCode": null, "fields": [ { "name": "OBJECTID", "type": "esriFieldTypeOID", "alias": "OBJECTID", "domain": null }, { "name": "Shape", "type": "esriFieldTypeGeometry", "alias": "Shape", "domain": null }, { "name": "AREA", "type": "esriFieldTypeDouble", "alias": "AREA", "domain": null }, { "name": "PERIMETER", "type": "esriFieldTypeDouble", "alias": "PERIMETER", "domain": null }, { "name": "SMZ_", "type": "esriFieldTypeDouble", "alias": "SMZ_", "domain": null }, { "name": "SMZ_ID", "type": "esriFieldTypeDouble", "alias": "SMZ_ID", "domain": null }, { "name": "NUMBER", "type": "esriFieldTypeString", "alias": "NUMBER", "length": 13, "domain": null }, { "name": "AREA_NAME", "type": "esriFieldTypeString", "alias": "AREA_NAME", "length": 45, "domain": null }, { "name": "Shape_Length", "type": "esriFieldTypeDouble", "alias": "Shape_Length", "domain": null }, { "name": "Shape_Area", "type": "esriFieldTypeDouble", "alias": "Shape_Area", "domain": null } ], "geometryField": { "name": "Shape", "type": "esriFieldTypeGeometry", "alias": "Shape" }, "indexes": [ { "name": "FDO_OBJECTID", "fields": "OBJECTID", "isAscending": true, "isUnique": true, "description": "" }, { "name": "FDO_Shape", "fields": "Shape", "isAscending": true, "isUnique": false, "description": "" } ], "subtypes": [], "relationships": [], "canModifyLayer": false, "canScaleSymbols": false, "hasLabels": false, "capabilities": "Map,Query,Data", "maxRecordCount": 1000, "supportsStatistics": true, "supportsAdvancedQueries": true, "supportedQueryFormats": "JSON, geoJSON", "isDataVersioned": false, "ownershipBasedAccessControlForFeatures": {"allowOthersToQuery": true}, "useStandardizedQueries": true, "advancedQueryCapabilities": { "useStandardizedQueries": true, "supportsStatistics": true, "supportsHavingClause": true, "supportsCountDistinct": true, "supportsOrderBy": true, "supportsDistinct": true, "supportsPagination": true, "supportsTrueCurve": true, "supportsReturningQueryExtent": true, "supportsQueryWithDistance": true, "supportsSqlExpression": true }, "supportsDatumTransformation": true, "supportsCoordinatesQuantization": true }, { "currentVersion": 10.81, "id": 25, "name": "Research Sampling Grid", "type": "Feature Layer", "description": "This dataset is a 200-m x 200-m polygon grid developed by The University of Miami's Rosenstiel School of Marine and Atmospheric Science (UM-RSMAS) and the National Marine Fisheries Southeast Fisheries Science Center (NFMS-SEFSC). 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The nearshore has been updated according to Walker and Klug 2014 and combined with all previous mapping efforts.\n\nThe SE FL nearshore benthic habitats were mapped using the same combined technique approach as described in Walker, Riegl, and Dodge (2008). Polygons were created by outlining and defining the features at a 1:1,000 scale and minimum mapping unit of 0.1 ha within recent aerial photography and high resolution bathymetric survey data. Southeast Florida benthic habitat maps were produced by delineating seafloor features evident in multiple datasets including the GMR Aerial Surveys, Inc. dba Photo Scienceimagery collected for this purpose on March 8, 2013, 2008 Broward lidar, and 2009 NOAA bathymetry. This dataset built upon previous regional mapping efforts by Dr. Brian Walker at Nova Southeastern University. The habitats were classified according to established NOAA guidelines in coordination with the NOS Coral Mapping Program and use a similar classification scheme when possible.\n", "geometryType": "esriGeometryPolygon", "sourceSpatialReference": { "wkid": 32617, "latestWkid": 32617 }, "copyrightText": "This work was prepared for the Florida Department of Environmental Protection (Department) by Nova Southeastern University. Funding for this report was provided in part by a Coastal Services Center grant from the U.S. Department of Commerce, National Oceanic and Atmospheric Administration (NOAA) National Ocean Service Award No. NA11N0S4820003, and by the Department, through its Office of Coastal and Aquatic Managed Areas. The total cost of the project was $248,611.00, of which 100 percent was provided by the NOAA. The views, statements, findings, conclusions and recommendations expressed herein are those of the author(s) and do not necessarily reflect the views of the State of Florida, U.S. Department of Commerce, NOAA, or any of its subagencies. Thank you to Florida Department of Environmental Protection Southeast Office of Coastal and Aquatic Managed Areas, the U.S. Department of Commerce, National Oceanic and Atmospheric Administration (NOAA) Coastal Services Center, and the South Florida Coral Reef Initiative for supporting this effort. Thanks to NOAA Office of Coast Survey, Broward County Natural Resources Planning and Management Division, and Coastal Planning and Engineering for supplying the LIDAR data. We especially would like to thank Amanda Costaregni and Ian Rodericks of the Nova Southeastern University Oceanographic Center (NSUOC) Geographic Information Systems and Spatial Ecology lab and Dr. David Gilliam and his NSUOC Coral Reef Restoration, Assessment & Monitoring Lab, for the many hours spent underwater to aid in the completion of data collection for this project, including Nicole D\u2019Antonio, Ariel Halperin, Chuck Walton, Kathryn Binder, Cody Bliss, Lystina Kabay, Mauricio Lopez Padierna, and Daniel Fahy. 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The SNBS was initiated in 1979 under a cooperative agreement between FWC (then DNR) and the U.S. Fish and Wildlife Service. Its purpose is to document the total distribution, seasonality, and abundance of nesting by sea turtles in Florida. Three species of sea turtles, the loggerhead (Caretta caretta), the green turtle (Chelonia mydas), and the leatherback (Dermochelys coriacea), nest regularly on Florida's beaches. Two other species, Kemp\u2019s ridley (Lepidochelys kempii) and the hawksbill (Eretmochelys imbricata) also nest but in very small numbers. All the species are listed as either Threatened or Endangered under the Endangered Species Act. Survey data are derived from observations of tracks and other nesting sign left on the beach by sea turtles. Species identifications and determinations of nesting vs. non-nesting emergences are based on the evaluation of visible features of the track and the nest. Data are gathered on more than 200 beaches through a network of permit holders consisting of private conservation groups, volunteers, consultants, academics, local governments, federal agencies, and the Florida Park Service. Annual nest counts for the state represent a minimum estimate because not all nesting activity is recorded on surveyed beaches and not all nesting beaches in Florida are surveyed. Nest density classifications of \u201clow\u201d, \u201cmedium\u201d and \u201chigh\u201d were developed for loggerheads, green turtles and leatherbacks according to quartile ranks. For the loggerhead turtle, ranking was done within genetic subunits; ranks for green turtles and leatherbacks were on a statewide basis. Hawksbill turtles and Kemp\u2019s ridleys were denoted only as present or absent on individual beaches. Surveys in the SNBS program may vary with respect to start/stop dates, frequency, duration and beach length between years for a particular beach, as well as between beaches. This variability in the surveys, combined with the dynamic nature of sea turtle nesting activity, make the quartile ranking system for the beaches, rather than average nesting densities over a small number of years, a more appropriate measure of the level of nesting activity that takes place on a particular beach. Survey results are used by managers to evaluate and minimize impacts to turtles and their nests due to human activities such as coastal construction, beach renourishment, and recreation, as well as to identify important areas for enhanced protection or land acquisition. 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The views, statements, findings, conclusions and recommendations expressed herein are those of the author(s) and do not necessarily reflect the views of the State of Florida, U.S. Department of Commerce, NOAA, or any of its subagencies. Thank you to Florida Department of Environmental Protection Southeast Office of Coastal and Aquatic Managed Areas, the U.S. Department of Commerce, National Oceanic and Atmospheric Administration (NOAA) Coastal Services Center, and the South Florida Coral Reef Initiative for supporting this effort. Thanks to NOAA Office of Coast Survey, Broward County Natural Resources Planning and Management Division, and Coastal Planning and Engineering for supplying the LIDAR data. We especially would like to thank Amanda Costaregni and Ian Rodericks of the Nova Southeastern University Oceanographic Center (NSUOC) Geographic Information Systems and Spatial Ecology lab and Dr. David Gilliam and his NSUOC Coral Reef Restoration, Assessment & Monitoring Lab, for the many hours spent underwater to aid in the completion of data collection for this project, including Nicole D\u2019Antonio, Ariel Halperin, Chuck Walton, Kathryn Binder, Cody Bliss, Lystina Kabay, Mauricio Lopez Padierna, and Daniel Fahy. A final thank you to Captain Lance Robinson and Brian Buskirk for providing reliable vessels for our many field days.", "parentLayer": { "id": 76, "name": "9LAYERPACKAGE4" }, "subLayers": [], "minScale": 0, "maxScale": 0, "drawingInfo": { "renderer": { "type": "simple", "symbol": { "type": "esriSFS", "style": "esriSFSSolid", "color": [ 115, 0, 0, 255 ], "outline": { "type": "esriSLS", "style": "esriSLSSolid", "color": [ 0, 0, 0, 0 ], "width": 0.4 } }, "label": "", "description": "" }, "transparency": 0, "labelingInfo": null }, "defaultVisibility": false, "extent": { "xmin": -8923854.166868623, "ymin": 2945437.8234638385, "xmax": -8905445.043607209, "ymax": 3151406.0398606486, "spatialReference": { "wkid": 102100, "latestWkid": 3857 } }, "hasAttachments": false, "htmlPopupType": "esriServerHTMLPopupTypeAsHTMLText", "displayField": "Habitat", "typeIdField": null, "subtypeFieldName": null, "subtypeField": null, "defaultSubtypeCode": null, "fields": [ { "name": "OBJECTID", "type": "esriFieldTypeOID", "alias": "OBJECTID", "domain": null }, { "name": "Shape", "type": "esriFieldTypeGeometry", "alias": "Shape", "domain": null }, { "name": "Habitat", "type": "esriFieldTypeString", "alias": "Habitat", "length": 50, "domain": null }, { "name": "Modifier", "type": "esriFieldTypeString", "alias": "Modifier", "length": 50, "domain": null }, { "name": "Region", "type": "esriFieldTypeString", "alias": "Region", "length": 50, "domain": null }, { "name": "Type", "type": "esriFieldTypeString", "alias": "Type", "length": 50, "domain": null }, { "name": "AREA_M", "type": "esriFieldTypeDouble", "alias": "AREA_M", "domain": null }, { "name": "AREA_KM", "type": "esriFieldTypeDouble", "alias": "AREA_KM", "domain": null }, { "name": "COUNT", "type": "esriFieldTypeDouble", "alias": "COUNT", "domain": null }, { "name": "RegHabMod", "type": "esriFieldTypeString", "alias": "RegHabMod", "length": 200, "domain": null }, { "name": "County", "type": "esriFieldTypeString", "alias": "County", "length": 25, "domain": null }, { "name": "CntyHabMod", "type": "esriFieldTypeString", "alias": "CntyHabMod", "length": 100, "domain": null }, { "name": "Type2", "type": "esriFieldTypeString", "alias": "Type2", "length": 50, "domain": null }, { "name": "Shape_Length", "type": "esriFieldTypeDouble", "alias": "Shape_Length", "domain": null }, { "name": "Shape_Area", "type": "esriFieldTypeDouble", "alias": "Shape_Area", "domain": null } ], "geometryField": { "name": "Shape", "type": "esriFieldTypeGeometry", "alias": "Shape" }, "indexes": [ { "name": "FDO_OBJECTID", "fields": "OBJECTID", "isAscending": true, "isUnique": true, "description": "" }, { "name": "FDO_Shape", "fields": "Shape", "isAscending": true, "isUnique": false, "description": "" } ], "subtypes": [], "relationships": [], "canModifyLayer": false, "canScaleSymbols": false, "hasLabels": false, "capabilities": "Map,Query,Data", "maxRecordCount": 1000, "supportsStatistics": true, "supportsAdvancedQueries": true, "supportedQueryFormats": "JSON, geoJSON", "isDataVersioned": false, "ownershipBasedAccessControlForFeatures": {"allowOthersToQuery": true}, "useStandardizedQueries": true, "advancedQueryCapabilities": { "useStandardizedQueries": true, "supportsStatistics": true, "supportsHavingClause": true, "supportsCountDistinct": true, "supportsOrderBy": true, "supportsDistinct": true, "supportsPagination": true, "supportsTrueCurve": true, "supportsReturningQueryExtent": true, "supportsQueryWithDistance": true, "supportsSqlExpression": true }, "supportsDatumTransformation": true, "supportsCoordinatesQuantization": true }, { "currentVersion": 10.81, "id": 130, "name": "Coral Reef and Hard Bottom Habtiat", "type": "Feature Layer", "description": "This shapefile is all coral reef and hard bottom habitat mapped in the region and is a combination of the most recent SE FL benthic habitat maps. 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The District of Columbia and Guam have no primary divisions, and each area is considered an equivalent entity for purposes of data presentation. The Census Bureau treats the following entities as equivalents of counties for purposes of data presentation: Municipios in Puerto Rico, Districts and Islands in American Samoa, Municipalities in the Commonwealth of the Northern Mariana Islands, and Islands in the U.S. Virgin Islands. The entire area of the United States, Puerto Rico, and the Island Areas is covered by counties or equivalent entities. 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Thank you to Florida Department of Environmental Protection Southeast Office of Coastal and Aquatic Managed Areas, the U.S. Department of Commerce, National Oceanic and Atmospheric Administration (NOAA) Coastal Services Center, and the South Florida Coral Reef Initiative for supporting this effort. Thanks to NOAA Office of Coast Survey, Broward County Natural Resources Planning and Management Division, and Coastal Planning and Engineering for supplying the LIDAR data. We especially would like to thank Amanda Costaregni and Ian Rodericks of the Nova Southeastern University Oceanographic Center (NSUOC) Geographic Information Systems and Spatial Ecology lab and Dr. David Gilliam and his NSUOC Coral Reef Restoration, Assessment & Monitoring Lab, for the many hours spent underwater to aid in the completion of data collection for this project, including Nicole D\u2019Antonio, Ariel Halperin, Chuck Walton, Kathryn Binder, Cody Bliss, Lystina Kabay, Mauricio Lopez Padierna, and Daniel Fahy. 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