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dc.contributor.authorForbis, Tara A.
dc.contributor.authorProvencher, Louis
dc.contributor.authorTurner, Lee
dc.contributor.authorMedlyn, Gary
dc.contributor.authorThompson, Julie
dc.contributor.authorJones, Gina
dc.date.accessioned2020-09-05T07:44:18Z
dc.date.available2020-09-05T07:44:18Z
dc.date.issued2007-05-01
dc.identifier.citationForbis, T. A., Provencher, L., Turner, L., Medlyn, G., Thompson, J., & Jones, G. (2007). A method for landscape-scale vegetation assessment: application to Great Basin rangeland ecosystems. Rangeland Ecology & Management, 60(3), 209-217.
dc.identifier.issn0022-409X
dc.identifier.doi10.2111/1551-5028(2007)60[209:AMFLVA]2.0.CO;2
dc.identifier.urihttp://hdl.handle.net/10150/643150
dc.description.abstractThe growth of landscape-scale land management necessitates the development of methods for large-scale vegetation assessment. Field data collection and analysis methods used to assess ecological condition for the 47 165-h North Spring Valley watershed are presented. Vegetation cover data were collected in a stratified random design within 6 Great Basin vegetation types, and the probability of detecting change in native herbaceous cover was calculated using power analyses. Methods for using these quantitative assessment data are presented to calculate a departure index based on reference condition information from LANDFIRE (an interagency effort to map and model fire regimes and other biophysical characteristics at a mid-scale for the entire United States) Biophysical Setting models for the mountain big sagebrush (Artemisia tridentata Nutt. subsp. vaseyana [Rydb.] Beetle) vegetation type. For mountain big sagebrush in the North Spring Valley landscape, we found that the earliest successional classes were underrepresented and that mountain big sagebrush moderately invaded by conifers was more abundant than predicted by the LANDFIRE reference based on the historic range of variability. Classes that were most similar to the reference were mountain big sagebrush with the highest conifer cover and late development mountain big sagebrush with perennial grasses. Overall, results suggested that restoration or approximation of the historic fire regime is needed. This method provides a cost-effective procedure to assess important indicators, including native herbaceous cover, extent of woody encroachment, and ground cover. However, the method lacks the spatial information that would allow managers to comprehensively assess spatial patterns of vegetation condition across the mosaics that occur within each major vegetation type. The development of a method that integrates field measurements of key indicators with remotely sensed data is the next critical need for landscape-scale assessment. 
dc.language.isoen
dc.publisherSociety for Range Management
dc.relation.urlhttps://rangelands.org/
dc.rightsCopyright © Society for Range Management.
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.subjectlandscape ecology
dc.subjectecological condition
dc.subjectreference condition
dc.subjectmonitoring
dc.subjectsagebrush semidesert
dc.subjectvegetation dynamics
dc.subjectthresholds
dc.titleA Method for Landscape-Scale Vegetation Assessment: Application to Great Basin Rangeland Ecosystems
dc.typetext
dc.typeArticle
dc.identifier.journalRangeland Ecology & Management
dc.description.collectioninformationThe Rangeland Ecology & Management archives are made available by the Society for Range Management and the University of Arizona Libraries. Contact lbry-journals@email.arizona.edu for further information.
dc.eprint.versionFinal published version
dc.description.admin-noteMigrated from OJS platform August 2020
dc.source.volume60
dc.source.issue3
dc.source.beginpage209-217
refterms.dateFOA2020-09-05T07:44:18Z


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