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High Pine and Scrub: Urbanization and Sea Level Rise Scenarios

Metadata Updated: October 30, 2025

Understanding how ecological and cultural resources may change in the future is an important component of conservation planning and for the implementation of long-term environmental monitoring. We modeled six future scenarios of urbanization and sea level rise to investigate their potential effects on the Peninsular Florida Landscape Conservation Cooperative's Priority Resources (PFLCC 2016), which were identified as important for conservation through a cooperative multi-partner effort to prioritize conservation efforts on a state-wide scale. These data represent conservation targets for the High Pine and Scrub at present, and under six future scenarios of sea level rise and urbanization.

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

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Dates

Metadata Created Date September 13, 2025
Metadata Updated Date October 30, 2025

Metadata Source

Harvested from DOI USGS DCAT-US

Additional Metadata

Resource Type Dataset
Metadata Created Date September 13, 2025
Metadata Updated Date October 30, 2025
Publisher U.S. Geological Survey
Maintainer
Identifier http://datainventory.doi.gov/id/dataset/usgs-5ce445b3e4b0654fe0bce624
Data Last Modified 2020-08-30T00:00:00Z
Category geospatial
Public Access Level public
Bureau Code 010:12
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://ddi.doi.gov/usgs-data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Harvest Object Id db0404f2-8718-4d56-92a7-ef3cee07e604
Harvest Source Id 2b80d118-ab3a-48ba-bd93-996bbacefac2
Harvest Source Title DOI USGS DCAT-US
Metadata Type geospatial
Old Spatial -87.6200, 24.5400, -80.0200, 31.0000
Source Datajson Identifier True
Source Hash b2b331291f49cb9915c3a287cb71e84f3eb248225886d1d69cb237c6075b6914
Source Schema Version 1.1
Spatial {"type": "Polygon", "coordinates": -87.6200, 24.5400, -87.6200, 31.0000, -80.0200, 31.0000, -80.0200, 24.5400, -87.6200, 24.5400}

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