39594 usvi_benthic_threat_metadata Data Set Published / External 37206 Summit-to-Sea Project Completed 2006-01 This data set describes the potential threat of sediment delivery and land-based sources of pollution to benthic habitats. This dataset is derived from NOAA's study, the Benthic Habitats of Puerto Rico and the U.S. Virgin Islands. The Benthic Habitats data is the result of a cooperative effort between NOAA's National Centers for Coastal Ocean Science (NCCOS), U.S. Geological Survey, National Park Service, and the National Geophysical Data Center, to produce benthic habitat maps and georeferenced imagery for Puerto Rico. This project was conducted in support of the U.S. Coral Reef Task Force. The purpose of this data set is to characterize land-based threats on coral reef ecosystems. This project was conducted in support of the U.S. Coral Reef Task Force. For more information see http://www.coralreef.gov 827 NOAA Summit-to-Sea Project Theme ISO 19115 Topic Category environment Theme None. CORAL REEFS Theme None. EROSION Theme None. Environmental Monitoring Theme None. LAND BASED SOURCES OF POLLUTION Theme None. POLLUTION Theme None. RUN OFF Theme None. SEDIMENT Theme None. SEDIMENT DELIVERY Theme None. WATERSHED Spatial SAINT CROIX Spatial SAINT JOHN Spatial SAINT THOMAS Spatial US VIRGIN ISLANDS Spatial USVI National Centers for Coastal Ocean Science Silver Spring MD Data Set None Planned vector digital data These data were prepared by an agency of the United States Government. Neither the United States Government nor any agency thereof, nor any of their employees, make any warranty, expressed or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed in this report, or represents that its use would not infringe privately owned rights. Reference therein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States Government or any agency thereof. Any views and opinions of authors expressed herein do not necessarily state or reflect those of the United States Government or any agency thereof. Although all data have been used by NOAA, no warranty, expressed or implied, is made by NOAA as to the accuracy of the data and/or related materials. The act of distribution shall not constitute any such warranty, and no responsibility is assumed by NOAA in the use of these data or related materials. Puerto Rico Department of Natural and Environmental Resources, University of Puerto Rico, USGS, NPS, VI. Dept. Planning Natural Resources; Div. Fish and Wildlife, Univ. VI, Cons. Data Center, The Nature Conservancy, Sea Grant, and other local and regional experts for input and review. 41460 usvi_benthic_threat Published / External Completed Shapefile Attribute table | Description Source: None Converted from FGDC using 'fgdc_to_inport_xml_entity.pl' script. 1 FID Unknown No No Active Internal feature number. | Description Source: ESRI Sequential unique whole numbers that are automatically generated. 2 Shape Unknown No No Active Feature geometry. | Description Source: ESRI Coordinates defining the features. 3 POLYGONID Unknown No No Active Unknown | Description Source: Unknown Unknown 4 AREA Unknown No No Active Unknown | Description Source: Unknown Unknown 5 ID Unknown No No Active Unknown | Description Source: Unknown Unknown 6 DESCRIPTOR Unknown No No Active Unknown | Description Source: Unknown Unknown 7 ZONE Unknown No No Active Unknown | Description Source: Unknown Unknown 8 HABITAT Unknown No No Active Unknown | Description Source: Unknown Unknown 9 TYPE Unknown No No Active Unknown | Description Source: Unknown Unknown 10 MODIFIER1 Unknown No No Active Unknown | Description Source: Unknown Unknown 11 MODIFIER2 Unknown No No Active Unknown | Description Source: Unknown Unknown 12 MODIFIER3 Unknown No No Active Unknown | Description Source: Unknown Unknown 13 SED_THREAT NUMBER No No Active modeled threat to benthic habitats: based on the linear distance from outflow points and their potential sediment delivery | Description Source: Unknown 0 - 252303 Data Steward 2006-01 Position NCCOS Scientific Data Coordinator NCCOS.data@noaa.gov Distributor 2006-01 Position NCCOS Scientific Data Coordinator NCCOS.data@noaa.gov Metadata Contact 2006-01 Position NCCOS Scientific Data Coordinator NCCOS.data@noaa.gov Point of Contact 2006-01 Position NCCOS Scientific Data Coordinator NCCOS.data@noaa.gov Principal Investigator 2006-01 Person Battista, Tim tim.battista@noaa.gov Ground Condition -65.088802 -64.43628 18.417743 17.633663 Discrete 2000 Yes Yes 2395 Unclassified None please acknowledge the NOAA Summit-to-Sea project when using or publishing this data. The distribution of this data product by NOAA does not constitute any real or implied responsibility for its accuracy or usefulness. Map products should not be used for navigation. https://ccma.nos.noaa.gov/ecosystems/coralreef/summit_sea/summit2seaUSVI.zip Downloadable Data shp Shapefile https://ccma.nos.noaa.gov/ecosystems/coralreef/summit_sea/ Online Resource https://ccma.nos.noaa.gov/ecosystems/coralreef/summit_sea/summit2seaUSVI.zip Online Resource 2013-07-02 Date that the source FGDC record was last modified. 2017-04-05 Converted from FGDC Content Standards for Digital Geospatial Metadata (version FGDC-STD-001-1998) using 'fgdc_to_inport_xml.pl' script. Contact Tyler Christensen (NOS) for details. 2017-09-13 Partial upload of Spatial Info section only. Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 2; ESRI ArcCatalog 9.1.0.722 N/A N/A 1 Ground control points, camera calibration data, and USGS DTM data were used to orthorectify 500 dpi scans of the aerial photos using Socet Set Version 4.2.1. Orthorectified images were then loaded into ArcView 3.2 with the Image Analyst and Habitat Digitizer Extensions activated. This allowed the photointerpreter to interpret features, delineate and attribute benthic habitat directly into a digital reference system. The data were saved as ArcView shapefiles.to estimate the potential threat to each polygon, the following methodology was employed:Step 1) The first step of the analysis involves estimating likely relative erosion rates for each 30 m resolution grid cell using a modified, simplified form of the Revised Universal Soil Loss Equation (RUSLE) (USDA, 1989). Information on slope, land cover type, precipitation, and soil porosity were integrated to develop an indicator of relative erosion potential (REP) for all land areas within Puerto Rico. Inputs: (REP relies upon four input data sets, three of which were described under the analysis of vulnerability to erosion, above.) 4. Slope (percentage) - for each 30m grid cell, derived from the (raw) DEM (without hydrologic correction.)5. Relative erosion rate by land cover type. Relative erosion rates for each land cover type were calculated using a look-up table. Land cover categories from NASA Geocover-LC products covering Puerto Rico (http://www.MDafederal.com/geocover/geocoverlc/) were reclassified to relative erosion rates, ranging from 15 (for forest) to 220 for barren land. (below) These relative erosion rates are based on published work involving conversion factors. 6.Precipitation during the peak rainfall month (in millimeters) - Long-term average monthly precipitation values for the peak rainfall month of the year is an interpolated grid based on data for climate stations from NOAA's National Climate Data Center (NCDC). This variable was chosen because it is more indicative of the rainy season and more extreme events during the year.7.Soil erodibility factor (K-ffactor) - the K-ffactor was obtained from the SSURGO database of the USDA.Land Cover Type, Grid Code, Relative Erosion RateDeciduous Forest, 1, 15Evergreen Forest, 2, 15Shrub/Scrub, 3, 50Grassland, 4, 125Barren, 5, 220Urban, 6, 210Agriculture, 7, 200Permanent Wetland, 9, 80Mangrove, 10, 80Water, 11, 5Cloud/No Data, 13, 0Equation 2:Relative Erosion Potential (REP) = Slope(%) x precip (mm for peak rainfall month) x soil k-ffactor x relative erosion rate for land cover type / 1000The grid is divided by 1000 and converted to integer for a better data range and easier display.The analysis was implemented in ESRI ArcView 3.2 software, using the map calculator function of Spatial Analyst, which is also available in ArcMap. The raster analysis was done at 30 m resolution in UTM projection (Zone 20N, WGS84.)Two indicators indicative of erosion within the watershed were calculated for each basin:mean REP for the basin (an indicator of average erosion rates for the basin) (REP_MEAN), and total relative erosion within the basin (REP_SUM).Step 2) An indicator of relative sediment delivery at the river mouth was estimated by multiplying total relative erosion in the basin (REP_SUM) by the sediment delivery ratio (SDR) for the basin, which is a function of watershed size. SDR reflects the percentage of erosion within the basin (REP_SUM) which reaches the river mouth. (continued...) 2006-01-01T00:00:00 2 (continued from above) Equation 3:Sediment Delivery Ratio (SDR) = 0.41 x basin area (in sq km)*-0.3. This factor comes from published research on watersheds in the Caribbean. Equation 4:Sediment delivery at the river mouth (SED_DELIV) = REP_SUM x SDR8. The point density tool (Spatial Analyst, ArcGIS) was then used to create a threat layer, using the sediment delivery at the outflow point as input, and a kernel radius of 5 km. 9. This threat layer was then averaged for every benthic habitat polygon (NOAA Benthic Habitats of Puerto Rico and the U.S. Virgin Islands, Kendall et al., 2001) using a zonal function to determine the mean threat. Source used: http://ccma.nos.noaa.gov/products/biogeography/benthic/ (end continuation) 2006-01-01T00:00:00 41460 Entity gov.noaa.nmfs.inport:39594 Tyler Christensen 2017-04-05T12:53:25 SysAdmin InPortAdmin 2025-05-15T19:16:09 2017-09-13 National Centers for Coastal Ocean Science NCCOS 1002 Public No No 2017-09-13 1 Year 2018-09-13