Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Skip to content

Data release for Predicting the impacts of future sea level rise on specialist snake species in the imperiled pine rockland ecosystem of South Florida

Metadata Updated: June 15, 2024

Approximately 90% of pine rockland habitat in South Florida and the Florida Keys, USA, has been lost, fragmented, and degraded due to urbanization and other anthropogenic disturbances. Low-lying islands and coastal areas are also becoming increasingly vulnerable to sea-level rise and high tide flooding, which is rapidly increasing in frequency, depth, and extent, putting these areas and the pine rockland habitat they contain at particular risk to these threats. We evaluated changes in habitat under future sea level rise conditions and human development for two species of snakes that are endemic to the pine rocklands, Rim Rock Crowned snake (Tantilla oolitica) and Key Ringneck snake (Diadophis punctatus acrinus), both of which are state-listed endangered species and are under consideration for federal listing. We used recent and historical species records to determine the current extent of available habitat in South Florida. We then predicted: 1) how much (area and percentage) of habitat currently available to these species will be lost due to sea level rise/development, and (2) how does the quality of remaining rockland habitat change in future due to SLR and habitat degradation? We also asked whether threats differ between species and regions. Our results predict that salt water intrusion will negatively affect upland habitat by 2050 with 80% of the existing pine rockland habitat degraded with 42 cm of sea level rise. Moreover, short-term stochastic events, such as storm surge and king tides, will increasingly inundate the root zone of pine and other terrestrial vegetation before complete inundation. Our results further predict that most of the terrestrial habitat used by these species will be underwater by 2080, indicating that sea level rise will likely change current pine rockland habitat into more halophytic habitat (mangrove or salt marsh wetland) in about 50 to 60 years.

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.

Downloads & Resources

Dates

Metadata Created Date June 1, 2023
Metadata Updated Date June 15, 2024

Metadata Source

Harvested from DOI EDI

Additional Metadata

Resource Type Dataset
Metadata Created Date June 1, 2023
Metadata Updated Date June 15, 2024
Publisher Climate Adaptation Science Centers
Maintainer
@Id http://datainventory.doi.gov/id/dataset/e97254873dcb7dd166350eef44029f38
Identifier e6e475d8-0963-469a-9874-e1b2f0758b0c
Data Last Modified 2022-09-06
Category geospatial
Public Access Level public
Bureau Code 010:00
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://datainventory.doi.gov/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 8c8f4b4e-5284-47db-ae52-bfaa0a44691a
Harvest Source Id 52bfcc16-6e15-478f-809a-b1bc76f1aeda
Harvest Source Title DOI EDI
Metadata Type geospatial
Old Spatial -81.9141,24.5271,-80.0766,25.8617
Source Datajson Identifier True
Source Hash 6c5ee4f2ac0a45c34f3f7b7b478d68f648b95c4d740423d40380b82e4f7e180e
Source Schema Version 1.1
Spatial {"type": "Polygon", "coordinates": -81.9141, 24.5271, -81.9141, 25.8617, -80.0766, 25.8617, -80.0766, 24.5271, -81.9141, 24.5271}

Didn't find what you're looking for? Suggest a dataset here.