Item talk:Q309891
From geokb
{
"USGS Publications Warehouse": { "@context": "https://schema.org", "@type": "Article", "additionalType": "Journal Article", "name": "Ecological potential fractional component cover based on Long-Term satellite observations across the western United States", "identifier": [ { "@type": "PropertyValue", "propertyID": "USGS Publications Warehouse IndexID", "value": "70229538", "url": "https://pubs.usgs.gov/publication/70229538" }, { "@type": "PropertyValue", "propertyID": "USGS Publications Warehouse Internal ID", "value": 70229538 }, { "@type": "PropertyValue", "propertyID": "DOI", "value": "10.1016/j.ecolind.2021.108447", "url": "https://doi.org/10.1016/j.ecolind.2021.108447" } ], "journal": { "@type": "Periodical", "name": "Ecological Indicators", "volumeNumber": "133", "issueNumber": null }, "inLanguage": "en", "isPartOf": [ { "@type": "CreativeWorkSeries", "name": "Ecological Indicators" } ], "datePublished": "2021", "dateModified": "2022-03-10", "abstract": "Rangelands\u00a0have immense inherent spatial and temporal variability, yet land condition and trends are often assessed at a limited number of spatially \u201crepresentative\u201d points. Spatially comprehensive, and quantitative, Ecological Potential (EP) data provide a baseline for comparison to current rangeland vegetation conditions and trends. Here, we define EP as potential fractional cover (bare ground, herbaceous, litter, shrub, and sagebrush) represented in the least disturbed areas and most productive years of the\u00a0Landsat\u00a0satellite archive (1985-present) for each 30-m pixel. We produce EP maps across rangelands in the western United States by training regression tree models using Rangeland Condition Monitoring Assessment and Projection (RCMAP) time-series fractional cover maps in ecologically intact sites (with limited annual herbaceous cover, no recent disturbance or vegetation treatment, and less bare ground cover than expected). As independent predictor variables in these models, we use digital soils and topography data and six bimonthly composites of the 90th percentile of\u00a0Normalized Difference Vegetation Index\u00a0(NDVI) and associated\u00a0spectral bands\u00a0from the 1985\u20132020 Landsat archive. EP predictions were successful in capturing biophysical gradients present in the independent variables and depicting potential cover in the absence of disturbance; we found no influence of fires or land treatments in the data. Next, we compared EP to contemporary (2018) cover, to create departure maps that can be used as a screening tool indicating degradation and providing an early warning of vegetation state change. Finally, we used a dichotomous key to convert the 1985 and 2018 RCMAP cover and EP cover into vegetation states important to land management decisions (invaded sagebrush\u00a0steppe,\u00a0annual grasslands, etc.). We found that in 1985, 21.2% of the study area had a different vegetation state than EP, and this percentage increased to 24.2% by 2018. More than 50% of the EP native sagebrush steppe was converted to an annual grassland,\u00a0perennial\u00a0grassland, or non-sagebrush shrub by 2018, and an additional 7% was classified as invaded sagebrush steppe, at risk of transition to another state. EP products provide a spatio-temporal reference of vegetation conditions from the last three decades across rangelands in the western United States. Use of the EP reference can improve\u00a0adaptive management\u00a0practice by providing monitoring and control data, which are often lacking, and assist in differentiating treatment effect from confounding factors.", "description": "108447, 14 p.", "publisher": { "@type": "Organization", "name": "Elsevier" }, "author": [ { "@type": "Person", "name": "Bunde, Brett", "givenName": "Brett", "familyName": "Bunde", "identifier": { "@type": "PropertyValue", "propertyID": "ORCID", "value": "0000-0003-0228-779X", "url": "https://orcid.org/0000-0003-0228-779X" }, "affiliation": [ { "@type": "Organization", "name": "KBR" } ] }, { "@type": "Person", "name": "Meyer, Deb", "givenName": "Deb", "familyName": "Meyer", "identifier": { "@type": "PropertyValue", "propertyID": "ORCID", "value": "0000-0002-8841-697X", "url": "https://orcid.org/0000-0002-8841-697X" }, "affiliation": [ { "@type": "Organization", "name": "Retired, KBR" } ] }, { "@type": "Person", "name": "Rigge, Matthew B. mrigge@usgs.gov", "givenName": "Matthew B.", "familyName": "Rigge", "email": "mrigge@usgs.gov", "identifier": { "@type": "PropertyValue", "propertyID": "ORCID", "value": "0000-0003-4471-8009", "url": "https://orcid.org/0000-0003-4471-8009" }, "affiliation": [ { "@type": "Organization", "name": "Earth Resources Observation and Science (EROS) Center", "url": "https://www.usgs.gov/centers/eros" }, { "@type": "Organization", "name": "Earth Resources Observation and Science (EROS) Center (Geography)", "url": "https://www.usgs.gov/centers/eros" } ] } ], "funder": [ { "@type": "Organization", "name": "Earth Resources Observation and Science (EROS) Center", "url": "https://www.usgs.gov/centers/eros" } ], "spatialCoverage": [ { "@type": "Place", "additionalType": "country", "name": "United States", "url": "https://geonames.org/4074035" }, { "@type": "Place", "additionalType": "unknown", "name": "western United States" }, { "@type": "Place", "geo": [ { "@type": "GeoShape", "additionalProperty": { "@type": 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