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Land use change and fragmentation of Grand River Greater Wildland Ecosystems (GWE) using LANDFIRE data

Metadata Updated: June 15, 2024

Fragmentation extent of six ecosystem types after European Settlement was analyzed using LANDFIRE data. The ecosystem types includes: Grassland, Shrubland, Conifer, Riparian, Hardwood and Sparse ecosystems. The land use change and fragmentation extents have been analyzed by delineating nine Greater Wildland Ecosystems (GWEs) across NCCSC.

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 May 31, 2023
Metadata Updated Date June 15, 2024

Metadata Source

Harvested from DOI EDI

Additional Metadata

Resource Type Dataset
Metadata Created Date May 31, 2023
Metadata Updated Date June 15, 2024
Publisher Climate Adaptation Science Centers
Maintainer
@Id http://datainventory.doi.gov/id/dataset/3c93fa2663a470540d15d256d3603303
Identifier 626f9f41-cea5-4dce-9a2f-b94532fefaea
Data Last Modified 2017-10-29
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 e53e4618-bf1d-4d8d-8414-bbff46ef77bc
Harvest Source Id 52bfcc16-6e15-478f-809a-b1bc76f1aeda
Harvest Source Title DOI EDI
Metadata Type geospatial
Old Spatial -104.229110668,43.13486993,-98.580927355,47.764653759
Source Datajson Identifier True
Source Hash 9789668cd7d44a6b1c148fc3f3ce457eb9589186174b682b2a9e548e210e044d
Source Schema Version 1.1
Spatial {"type": "Polygon", "coordinates": -104.229110668, 43.13486993, -104.229110668, 47.764653759, -98.580927355, 47.764653759, -98.580927355, 43.13486993, -104.229110668, 43.13486993}

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