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Land cover and other geospatial layers created for the paper: Evaluating population connectivity and targeting conservation action for an endangered cat. https://doi.org/10.7944/P92D26LI

Metadata Updated: May 23, 2024

Lehnen, S. E., Sternberg, M. A., Swarts, H. M., & Sesnie, S. E. 2021. Evaluating population connectivity and targeting conservation action for an endangered cat. Ecosphere, 12(2). https://doi.org/10.1002/ecs2.3367. Abstract: Dispersal of animals among populations helps to increase genetic variability and population viability. The endangered ocelot (Leopardus pardalis) in south Texas persists in two small populations separated by 30 km and cutoff from populations in northeastern Mexico. Despite the relatively short distance separating the two south Texas populations, movement between them has been limited, leading researchers to believe landscape connectivity is poor in the region. We developed habitat suitability maps using remote sensing and GPS-collared ocelots and ran connectivity analyses to assess current habitat linkages, important areas for conservation, and areas where connectivity could be improved through habitat restoration. First, we developed a resource selection function using random forest models and GPS data from ten ocelots collared at Laguna Atascosa National Wildlife Refuge combined with spatial layers derived from LiDAR and remotely sensed imagery. We then used these results as the basis for a cost surface layer. Using this layer, we examined habitat connectivity using least-cost and circuit theory methods. We evaluated linkages by cost of movement, identified areas important for maintaining existing connectivity, and ranked areas where restoration would have the greatest benefit to connectivity. We found that core habitats within the two populations were relatively well connected but connectivity between the two populations was poor. By identifying areas currently important for connectivity and areas with the greatest benefit to ocelots if restored, these results will help inform land acquisition and restoration planning to improve ocelot conservation in south Texas. DOI for these data layers: https://doi.org/10.7944/P92D26LI

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

References

https://ecos.fws.gov/ServCat/Reference/Profile/131472

Dates

Metadata Created Date March 23, 2024
Metadata Updated Date May 23, 2024

Metadata Source

Harvested from DOI EDI

Additional Metadata

Resource Type Dataset
Metadata Created Date March 23, 2024
Metadata Updated Date May 23, 2024
Publisher U.S. Fish and Wildlife Service
Maintainer
@Id http://datainventory.doi.gov/id/dataset/4f8ab18aa54d3dda633093657cb6dd05
Identifier FWS_ServCat_131472
Data First Published 2021-02-01T12:00:00Z
Data Last Modified 2021-02-01
Category geospatial
Public Access Level public
Bureau Code 010:18
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
Data Quality True
Harvest Object Id e6900aa5-d654-4199-9e8c-f17741f16baa
Harvest Source Id 52bfcc16-6e15-478f-809a-b1bc76f1aeda
Harvest Source Title DOI EDI
Homepage URL https://ecos.fws.gov/ServCat/Reference/Profile/131472
Metadata Type geospatial
Old Spatial -97.65765,25.8337955,-97.13031,26.6222019
Program Code 010:028, 010:094
Publisher Hierarchy White House > U.S. Department of the Interior > U.S. Fish and Wildlife Service
Related Documents https://ecos.fws.gov/ServCat/Reference/Profile/131472
Source Datajson Identifier True
Source Hash a3b82317b088a98e68b27f08b39f72d9904d9b7a4890fc7ef402957d11252fac
Source Schema Version 1.1
Spatial {"type": "Polygon", "coordinates": -97.65765, 25.8337955, -97.65765, 26.6222019, -97.13031, 26.6222019, -97.13031, 25.8337955, -97.65765, 25.8337955}
Temporal 2006-01-01T12:00:00Z/2017-01-01T12:00:00Z

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