Resilient_Reefs eng; USA utf8 dataset James Byrne Florida Reef Resilience Program 703-841-5300 4245 Fairfax Rd #100 Arlington VA 22203 US jbyrne@tnc.org pointOfContact 2024-12-15 ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) GT-polygon composed of chains 32 North American Datum 1983 NAD83 2007-01-19 revision https://epsg.org/crs_4269/NAD83.html NAD83 Link to Geographic Markup Language (GML) description of reference system. information resourceProvider European Petroleum Survey Group https://epsg.org/home.html European Petroleum Survey Group Geodetic Parameter Registry Registry that accesses the EPSG Geodetic Parameter Dataset, which is a structured dataset of Coordinate Reference Systems and Coordinate Transformations. search publisher urn:ogc:def:crs:EPSG::4269 Resilient_Reefs of the Florida Coral Reef Tract from 2005 - 2010 publication The Nature Conservancy, Reef Resilience Program (NODC Accession 0123059) originator mapDigital The data is based on the FRRP Disturbance Response Monitoring (FRRP.ORG) There were nine sampling periods between August 2005 and September 2010. In total,1176 sites were recorded. All coral colonies > 4 cm were identified to species and their diameters were measured within replicated 10-m2 belt transects. Each coral colony was also examined for disease and bleaching. We queried the data in Access to compile:1) the number of corals, 2) the degree of bleaching, First,coral colony density was derived by summing the number of individual coral colonies within each transect. Second, coral colony diameter was measured at the widest point of each colony; these diameters were summed within each transect. Third, coral colony area was computed using the afore mentioned diameters, and using the equation for the area of a circle:A=(D/2)^2 where A is the colony area, and Dis the colony diameter. These areas were then summed for each transect.Fourth, coral bleaching was assessed as an ordinal variable (i.e., 0, 1, 2, and 3). The bleaching variable was summed for all colonies in each transect. Fifth, coral disease was quantified by summing the numbers of diseased colonies in each transect. Given that the absolute amount of bleaching and disease both depend upon coral colony density, we sought to adjust for relative coral colony density. We accumulated the sum of the ordinal bleaching data for each transect. Similarly, the number of diseased colonies was also summed per transect. Notably, coral disease was not quantified on an ordinal intensity scale, but was quantified as either present or absent. We then divided the sum of bleaching intensity and the sum of disease by the number of colonies within each transect. The result was a mean per-colony bleaching intensity, and mean per-colony disease prevalence for each transect. Given that the 6 smallest sampling unit was the site, one hierarchical level above transect, we took the mean of these per-colony values for the two transects within each site. The resulting data were exported, and attached to the coordinates of each site. These variables were analyzed for correlations using a series of Spearman's Rank Correlation tests. The data were imported into ArcGIS 9.2, and georeferenced. We then interpolated each of the three datasets using a natural neighbor interpolation. After examining the output among the different interpolation procedures (i.e., inverse distance weighing, kriging, and natural neighbor), we found that the natural neighbor technique was most accurate, and best represented the data. We used the "extract by mask" tool to constrain the interpolations within the sampling domain (Figures 2, 3, 4). The layers contained continuous data, but we sought to classify the reefs in broader terms. Using the ArcGIS 9.2 "slice" tool, we generated three ordinal data classes from the interpolation raster files for (i) coral colony density, (ii) bleaching, and (iii) disease that were based upon natural breaks within the data. The resulting Rasters were then converted into shapefiles with the disease frequency values being assigned as an attribute.To identify localities with (i) the highest coral density, (ii) the lowest bleaching intensity, and (iii) the lowest disease prevalence. In order to find these areas, we needed to first reclassify the data. All three "sliced" raster files were further simplified. We needed to determine which reefs had the highest coral colony densities, the lowest prevalence in disease, and the lowest bleaching. For this purpose, we used the "reclassify" tool in AcrGIS 9.2, whereby reefs with low (i.e., 1) to medium (i.e., 2) density were reclassified to zero, and the reefs with the highest coral densities (i.e., 3) were 7 reclassified to one. For the bleaching and disease data (i.e., which were raster files at this stage in the analysis), we wanted to find the reefs with most bleaching and disease so that we could eliminate them from consideration for protection. We again used the "reclassify" tool, this time, the least bleached or diseased reefs (i.e., 1) were reclassified with a 0. Reefs with either medium (i.e., 2) or extensive (i.e., 3) bleaching or disease were reclassified as 1. Finally, we used the "minus" tool within ArcGIS 9.2 to subtract the bleaching and disease layers, generated by the reclassify tool, from the coral-colony density layer. This resulted in a scale of priority from -2 to 1. The resulting shapefile represents highlighted reefs with abundant coral and a history of minimal bleaching and low disease prevalence. This analysis was undertaken to determine reef areas that have high coral coral-colony density, and where bleaching has been relatively low, and coral disease prevalence has been low. The data is based on the Florida Reef Resilience Program's Disturbance Response Monitoring from 2005-2010. completed James Byrne The Nature Conservancy Marine Science Program Manager 703-841-5300 4245 North Fairfax Dr #100 Arlington VA 22203 jbyrne@tnc.org pointOfContact notPlanned CoRIS_Metadata theme NCEI Geoportal Filter Geographic Information > Biology theme CoRIS Discovery Thesaurus EARTH SCIENCE > Biosphere > Zoology > Corals > Reef Monitoring and Assessment theme CoRIS Theme Thesaurus Environmental Monitoring theme NOS Data Explorer Topic Category Florida Keys Florida Keys National Marine Sanctuary place None OCEAN BASIN > Atlantic Ocean > North Atlantic Ocean > Florida Reef Tract (26N080W0007) COUNTRY/TERRITORY > United States of America > Florida > Florida Reef Tract (26N080W0007) place CoRIS Place Thesaurus otherRestrictions Use Constraints: None otherRestrictions Access Constraints: None vector eng; USA oceans biota Native Dataset Environment: Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; Esri ArcGIS 10.2.0.3348 -82.879620 -80.084823 24.417479 26.213764 2005-01-01 2010-12-31 Resilient_Reefs: Coral reefs which are resilient to bleaching and disease FID Internal feature number. Sequential unique whole numbers that are automatically generated. Shape Feature geometry. Coordinates defining the features. ID Unknown Unknown GRIDCODE Internal feature number. Unknown Shape_Leng Internal feature number. Unknown Shape_Area Area of feature in internal units squared. Positive real numbers that are automatically generated. annually This metadata was automatically generated from the FGDC Content Standard for Digital Geospatial Metadata standard (version FGDC-STD-001-1998) using the 2016-01-11 version of the FGDC RSE to ISO 19115-2 transform. Translated from FGDC 2025-03-24T18:06:59.584Z James Byrne Florida Reef Resilience Program 703-841-5300 4245 Fairfax Rd #100 Arlington VA 22203 US jbyrne@tnc.org pointOfContact