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dc.contributor.authorNafus, Aleta M.
dc.contributor.authorMcClaran, Mitchel P.
dc.contributor.authorArcher, Steven R.
dc.contributor.authorThroop, Heather L.
dc.date.accessioned2020-09-05T07:16:48Z
dc.date.available2020-09-05T07:16:48Z
dc.date.issued2009-01-01
dc.identifier.citationNafus, A. M., McClaran, M. P., Archer, S. R., & Throop, H. L. (2009). Multispecies allometric models predict grass biomass in semidesert rangeland. Rangeland Ecology & Management, 62(1), 68-72.
dc.identifier.issn0022-409X
dc.identifier.doi10.2111/08-003
dc.identifier.urihttp://hdl.handle.net/10150/643005
dc.description.abstractMultispecies allometric models to predict grass biomass may increase field study efficiency by eliminating the need for species- specific data. We used field measurements during two growing seasons to develop single-species and multispecies regression models predicting the current year’s aboveground biomass for eight common cespitose grass species. Simple and stepwise regression analyses were based on natural log expressions of biomass, basal diameter, and height, and a dummy variable expression of grazing history. Basal diameter had the strongest relationship with biomass among single-species (adjusted R2 = 0.80 to 0.91) and multispecies (adjusted R2 = 0.85) models. Regression slopes (b) for diameter among single-species (b = 1.01 to 1.49) and the multispecies (b = 1.25) models suggests that biomass will double when diameter increases <75%. Height and grazing history added little predictive value when diameter was already in the model. When applied to actual populations, biomass estimates from multispecies models were within 3-29% of estimates from the single-species models. Although the multispecies biomass-size relationship was robust across the cespitose life-form, users should be cautious about applying our equations to different locations, plant sizes, and population size-structures. 
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.subjectallometry
dc.subjectbasal diameter
dc.subjectgrazing history
dc.subjectplant height
dc.subjectregression analysis
dc.titleMultispecies Allometric Models Predict Grass Biomass in Semidesert Rangeland
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.volume62
dc.source.issue1
dc.source.beginpage68-72
refterms.dateFOA2020-09-05T07:16:48Z


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