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Africa Terrestrial Ecosystems

Metadata Updated: October 29, 2023

Africa terrestrial ecosystems were modeled using a biophysical stratification approach based on mapping the major structural components of ecosystems. New 90 meter base resolution continental datasets were developed for several key physical environment datalayers including coastlines, land surface forms, surficial lithology, and bioclimates. These unique physical components, considered as the fundamental building blocks of ecosystems, were reviewed by regional vegetation and landscape ecology experts and used in a classification and regression tree (CART) inductive model to map intermediate scale Africa terrestrial ecosystems. In the final dataset a total of 126 terrestrial ecosystem types were mapped, each with multiple, repeating occurrences on the landscape.

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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Metadata Created Date June 1, 2023
Metadata Updated Date October 29, 2023

Metadata Source

Harvested from DOI EDI

Additional Metadata

Resource Type Dataset
Metadata Created Date June 1, 2023
Metadata Updated Date October 29, 2023
Publisher U.S. Geological Survey
Identifier USGS:63e4622ed34e9fa19a9c007a
Data Last Modified 20230301
Category geospatial
Public Access Level public
Bureau Code 010:12
Metadata Context
Metadata Catalog ID
Schema Version
Catalog Describedby
Harvest Object Id edbbba2e-ff25-4f40-a40c-54ea44d64151
Harvest Source Id 52bfcc16-6e15-478f-809a-b1bc76f1aeda
Harvest Source Title DOI EDI
Metadata Type geospatial
Old Spatial -26.0001,-34.9999,63.9999,38.0001
Publisher Hierarchy White House > U.S. Department of the Interior > U.S. Geological Survey
Source Datajson Identifier True
Source Hash 380ec6a5c17761c8ae0d05c050fb2b994799574c2ff1b9392ee69f9b0a6e4273
Source Schema Version 1.1
Spatial {"type": "Polygon", "coordinates": -26.0001, -34.9999, -26.0001, 38.0001, 63.9999, 38.0001, 63.9999, -34.9999, -26.0001, -34.9999}

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