Keamuku Maneuver Area pre and post-disturbance point-intercept data for vegetation, 2014-2016
Data e Risorse
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Original MetadataXML
The metadata original format
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Digital DataXML
Landing page for access to the data
| Campo | Valore |
|---|---|
| accessLevel | public |
| bureauCode | {010:12} |
| catalog_@context | https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld |
| catalog_conformsTo | https://project-open-data.cio.gov/v1.1/schema |
| catalog_describedBy | https://project-open-data.cio.gov/v1.1/schema/catalog.json |
| identifier | USGS:627702a1d34e8d45aa6e27ee |
| metadata_type | geospatial |
| modified | 20220511 |
| old-spatial | -155.7518, 19.7874, -155.6110, 19.9398 |
| publisher | U.S. Geological Survey |
| publisher_hierarchy | Department of the Interior > U.S. Geological Survey |
| resource-type | Dataset |
| source_datajson_identifier | true |
| source_hash | a5aac33c091295043e22b9bf608768275e30b5e1 |
| source_schema_version | 1.1 |
| spatial | {"type": "Polygon", "coordinates": [[[-155.7518, 19.7874], [-155.7518, 19.9398], [ -155.6110, 19.9398], [ -155.6110, 19.7874], [-155.7518, 19.7874]]]} |
| theme | {geospatial} |
| Gruppi |
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| Tag |
|
| isopen | False |
| license_id | notspecified |
| license_title | License not specified |
| maintainer | Stephanie Yelenik |
| maintainer_email | stephanie.yelenik@usda.gov |
| metadata_created | 2025-11-22T23:11:14.056484 |
| metadata_modified | 2025-11-22T23:11:14.056487 |
| notes | This data release includes data and metadata on pre and post disturbance percent cover of species, measured using the point-intercept method, in different dominant vegetation types and habitat suitabilities within Keamuku Maneuver Area (KMA) on Hawaii Island. Broadly, this study looked at how microtopography and biotic interactions influence post-disturbance recovery and native planting success in native shrub-dominated and non-native, invasive grass-dominated dryland habitats. |
| num_resources | 2 |
| num_tags | 23 |
| title | Keamuku Maneuver Area pre and post-disturbance point-intercept data for vegetation, 2014-2016 |