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      <gmd:resourceConstraints>
        <gmd:MD_LegalConstraints>
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          <gmd:otherConstraints>
            <gco:CharacterString>Use Constraints: DO NOT USE MAPS FOR NAVIGATIONAL PURPOSES. Management boundaries are not to be considered legal boundaries. Edges may have been altered for cartographic processes. Note that the ESI database should not be used to the exclusion of other pertinent data or information held by state or federal agencies or other organizations. Likewise, information contained in the database cannot be used in place of consultations with environmental, natural resource, and cultural resource agencies, or in place of field surveys. Recognize that the information contained in the ESI database represents known concentration areas or occurrences of natural, cultural, and human-use resources, but does not necessarily represent the full distribution or range of each species or resource. This is particularly important to recognize when considering potential impacts to protected resources, such as endangered species, wetlands, etc. The ESI databases were developed to provide summary information on sensitive natural and human-use resources for the purposes of oil spill planning, environmental planning, and natural resource management. Although the ESI data should be a valuable planning and resource management tool, they should not be used to the exclusion of other pertinent data or information held by state or federal agencies or other organizations. Likewise, these data cannot be used in place of consultations with environmental, natural resource, and cultural resource agencies, or in place of field surveys. Also, these data and any related map products should not be used for navigation. Recognize that the information contained in the ESI databases represents known concentration areas or occurrences of natural, cultural, and human-use resources, but does not necessarily represent the full distribution or range of each species or resource. This is particularly important to recognize when considering potential impacts to protected resources, such as endangered species, wetlands, archaeological sites, etc. For more information or guidance on proper and improper uses of these data, please contact the Fish and Wildlife Research Institute (FWRI) and Research Planning, Inc. Acknowledgement of the publishers, contributors, and sources listed in the Data_Set_Credit (below) and Lineage section of this document would be appreciated in products derived from or utilizing these data. Users are encouraged to read and fully comprehend the metadata record prior to using these data. Please acknowledge the Florida Fish and Wildlife Conservation Commission (FWC) as the data source for any products developed from these data. Users should be aware that comparison with other data sets for the same area from other time periods may be inaccurate due to inconsistencies resulting from changes in mapping conventions, data collection, and computer processes over time. FWC shall not be liable for improper or incorrect use of this data. These data are not legal documents and are not to be used as such. This is not a survey data set and should not be utilized as such. These data are not to be used for navigation. Besides the above warnings, there are no use constraints on these data.</gco:CharacterString>
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            <gco:CharacterString>A multi-stage error checking process, described in the above Attribute_Accuracy_Report, is used to verify both attribute accuracy and logical consistency throughout data production. This process includes multiple automated logical consistency checks that test the files for missing or duplicate data, rules for proper coding, GIS topological consistencies, and SQL SERVER(R) to ArcGIS(R) consistencies. A final review is made by the ESI manager, where the data are written to CD-ROM and the metadata are written. RARNUM's are defined on an element basis, so 'resources at risk' groupings will contain only a single element.</gco:CharacterString>
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            <gco:CharacterString>The above digital and/or hardcopy sources were compiled by the project biologist to create the BENTHIC data layer. Depending on the type of source data, three general approaches are used for compiling the data layer: 1) information gathered during initial interviews and from hardcopy sources are compiled onto U.S. Geological Survey 1:24,000 topographic quadrangles and digitized; 2) hardcopy maps are digitized at their source scale; 3) digital data layers are evaluated and used "as is" or integrated with the hardcopy data sources. See the Lineage section for additional information on the type of source data for this data layer. The ESI, biology, and human-use data are compiled into the standard ESI digital data format. A second set of interviews with participating resource experts are conducted to review the compiled data. If necessary, edits to the BENTHIC data layer are made based on the recommendations of the resource experts, and final hardcopy maps and digital data are created.</gco:CharacterString>
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                <gco:CharacterString>Two main sources of data were used to depict benthic habitats distribution and seasonality for this data layer: 1) digital survey and model data from NOAA, Florida Fish and Wildlife Conservation Commission (FWC), St. Johns River Water Management District, and Loxahatchee River District, and 2) personal interviews with resource experts. Deep sea coral habitat Ã¢ÂÂ Predictive models showing habitat suitability for 18 species of deep-sea corals were provided by the NOAA National Centers for Environmental Information. All species were combined and mapped as Ã¢ÂÂdeep sea coralÃ¢ÂÂ in the ESI atlas. Areas that had a Ã¢ÂÂhighÃ¢ÂÂ or Ã¢ÂÂvery highÃ¢ÂÂ likelihood of containing deepwater corals are combined into the ESI concentration Ã¢ÂÂhighly likelyÃ¢ÂÂ. Areas that are categorized as having Ã¢ÂÂmedium-lowÃ¢ÂÂ to Ã¢ÂÂmediumÃ¢ÂÂ likelihood are combined into the ESI concentration Ã¢ÂÂpotentialÃ¢ÂÂ. The species aggregated as Ã¢ÂÂdeep sea coralsÃ¢ÂÂ include Lophelia pertusa, Madrepora spp., Madracis spp., Callogorgia spp., Bebryce spp., Hypnogorgia spp., the families Ellisellidae, Gorgoniidae, Paramuriceidae, Plexauridae, the orders Alcyonacea, Scleractinia (except Oculina spp.), and Antipatharia.</gco:CharacterString>
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                <gco:CharacterString>Additionally, coral points from the NOAA Deep Sea Coral Database were mapped as 500 m buffered polygons. Only coral points from the same taxa as those from the predictive model were included in the atlas, and points that had accuracies greater than 1000 m or had survey dates older than 50 years were excluded. Nearshore coral habitat ÃÂ¢ÃÂÃÂ Nearshore coral habitat was provided by FWC as part of their Unified Reef Map v2.0. All classes in the Unified Reef Map that corresponded to some kind of coral or hardbottom habitat were included. In an effort to simplify the classifications, some of the Unified Reef Map classes were aggregated into single ESI classifications. These groupings are listed as follows, with ESI classification listed first, followed by each ESI classification's Unified Reef Map classes: coral patch reef: individual or aggregated patch reef; aggregate reef: aggregate reef, spur and groove; hardbottom reef: ridge, colonized pavement; scattered coral and rock: scattered coral/rock. Acropora and Orbicella corals ÃÂ¢ÃÂÃÂ Corals that are listed with state or federal protection statuses were mapped in the ESI. These include boulder star coral (Orbicella franksi, FT, ST), mountainous star coral (Orbicella faveolata, FT, ST), lobed star coral (Orbicella annularis, FT, ST), elkhorn coral (Acropora palmata, FT, ST), and staghorn coral (Acropora cervicornis, FT, ST). The three Orbicella species were mapped as 50 m buffers around survey points using data provided by FWC as part of their Florida Reef Resilience Program's Disturbance Response Monitoring (2005-2018). Acropora palmata and A. cervicornis were mapped as Acropora spp. in the ESI using data from FWCÃÂ¢ÃÂÃÂs Acropora Priority Sites dataset. Seagrass ÃÂ¢ÃÂÃÂ Seagrasses are a vitally important habitat within the estuaries and bays of Florida, forming the basis of a rich, diverse, and incredibly productive ecosystem. There are three species of seagrass that are most abundant within the purview of the East Florida ESI: Shoal grass (Halodule wrightii), turtle grass (Thalassia testudinum), and manatee grass (Syringodium filiforme). Additionally, three other species are found sparsely, and primarily in the Indian River Lagoon: star grass (Halophila engelmannii), paddle grass (Halophila decipiens), and JohnsonÃÂ¢ÃÂÃÂs seagrass (Halophila johnsonii). The most significant seagrass beds are found in the Indian River Lagoon, which suffered significant die-offs in 2011 due to deadly algal blooms but have seen recovery in recent years. In order to capture the potential recovery of these important habitats, a compilation of five years of mapping data (2009, 2011, 2013, 2015, and 2017) was used, with concentrations of ÃÂ¢ÃÂÃÂcontinuousÃÂ¢ÃÂÃÂ and ÃÂ¢ÃÂÃÂpatchyÃÂ¢ÃÂÃÂ indicating areas with greater than 50% coverage of seagrass and areas with less than 50% coverage, respectively. South of Indian River Lagoon, seagrass was mapped from a compilation dataset provided by FWC, in which mapped seagrass reflects data from the most recent survey for any given area, spanning surveys dates from 2007 to 2015. JohnsonÃÂ¢ÃÂÃÂs seagrass ÃÂ¢ÃÂÃÂ JohnsonÃÂ¢ÃÂÃÂs seagrass (FT, ST) was mapped from three data sources: the NOAA designated critical habitat, expert knowledge of seagrass range, and survey maps produced by the Loxahatchee River District. Note that surveys for JohnsonÃÂ¢ÃÂÃÂs seagrass are not comprehensive and that any seagrass beds south of the mouth of Turkey Creek in Palm Bay in the Indian River Lagoon have the potential to contain JohnsonÃÂ¢ÃÂÃÂs seagrass.</gco:CharacterString>
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                <gco:CharacterString>The above digital and/or hardcopy sources were compiled by the project biologist to create the BENTHIC data layer. Depending on the type of source data, three general approaches are used for compiling the data layer: 1) information gathered during initial interviews and from hardcopy sources are compiled onto U.S. Geological Survey 1:24,000 topographic quadrangles and digitized; 2) hardcopy maps are digitized at their source scale; 3) digital data layers are evaluated and used "as is" or integrated with the hardcopy data sources. See the Lineage section for additional information on the type of source data for this data layer. The ESI, biology, and human-use data are compiled into the standard ESI digital data format. A second set of interviews with participating resource experts are conducted to review the compiled data. If necessary, edits to the BENTHIC data layer are made based on the recommendations of the resource experts, and final hardcopy maps and digital data are created.</gco:CharacterString>
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