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dc.contributor.authorPerlinski, A. T.
dc.contributor.authorPaige, G. B.
dc.contributor.authorMcClaran, M. P.
dc.date.accessioned2021-03-08T18:42:21Z
dc.date.available2021-03-08T18:42:21Z
dc.date.issued2014-03
dc.identifier.citationPerlinski, A. T., Paige, G. B., & McClaran, M. P. (2014). Evaluating a state-and-transition model using a long-term dataset. Rangeland Ecology & Management, 67(2), 173–182.
dc.identifier.issn0022-409x
dc.identifier.doi10.2111/REM-D-12-00036.1
dc.identifier.urihttp://hdl.handle.net/10150/657016
dc.description.abstractState-and-transition models (STMs) are used in natural resource management to describe ecological site scale response to natural and anthropogenic disturbances. STMs are primarily based for expert opinion and literature reviews, lacking analytical testing to support vegetation community dynamics, thresholds, and state changes. We developed a unique approach, combining ordination and permutation MANOVA (perMANOVA) with raw data interpretation, to examine vegetation data structure and identify thresholds for a STM. We used a long-term monitoring dataset for an ecological site on the Santa Rita Experimental Range, Arizona. Basal cover of perennial grasses and canopy cover of shrubs and cacti were measured on permanent transects beginning in 1957. Data were grouped by drivers identified by the STM including species invasion, grazing, drought, and mesquite treatment. Ordination by nonmetric multidimensional scaling described the structure of the data. PerMANOVA was used to test for differences between groups of sample units. Analyses of combined key species (Lehmann's lovegrass and mesquite Prosopis velutina Woot.") and nonkey species patterns demonstrated an irreversible transition and occurrence of a structural threshold due to Lehmann's lovegrass invasion, as well as a short-term reversible transition (restoration pathway) following mesquite treatment. Sensitivity analysis, in which key species were removed from the dataset, showed that the relative composition of nonkey species did not differ between states previously defined by the key species. This apparent disconnect between dynamics of key and nonkey species may be related to changes in the functional attributes that were not monitored during this time series. Our analyses suggest that, for this ecological site, transition to a Lehmann's lovegrass state occurs when basal cover of this species exceeds 1-2%, which often occurs within 6 yr of its arrival. Evaluation of the restoration pathway showed a recrossing of the threshold within 6 yr of treatment and when mesquite canopy cover exceeded 10%. © 2014 The Society for Range Management.
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.subjectEcological site
dc.subjectNonmetric multidimensional scaling
dc.subjectPermutation multivariate analysis of variance
dc.subjectThresholds
dc.titleEvaluating a state-and-transition model using a long-term dataset
dc.typeArticle
dc.typetext
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.source.journaltitleRangeland Ecology & Management
dc.source.volume67
dc.source.issue2
dc.source.beginpage173
dc.source.endpage182
refterms.dateFOA2021-03-08T18:42:21Z


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