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dc.contributor.authorNaito, A.T.
dc.contributor.authorArcher, S.R.
dc.contributor.authorHeilman, P.
dc.date.accessioned2024-04-01T22:53:05Z
dc.date.available2024-04-01T22:53:05Z
dc.date.issued2024-01-25
dc.identifier.citationNaito, Adam T., Steven R. Archer, and Philip Heilman. "Comparing the Predictive Capacity of Allometric Models in Estimating Grass Biomass in a Desert Grassland." Rangeland Ecology & Management 93 (2024): 72-76.
dc.identifier.issn1550-7424
dc.identifier.doi10.1016/j.rama.2024.01.004
dc.identifier.urihttp://hdl.handle.net/10150/672012
dc.description.abstractAllometric models provide a rapid, nondestructive means for estimating aboveground biomass (AGB) of perennial grass species. In the absence of site-specific models, allometric relationships developed at other sites at other times are often used. This implicitly assumes that size-biomass relationships are highly robust. In this study, we assess the comparability of allometric relationships developed at two points in time (2005 and 2015) on different soils on a Sonoran Desert savanna in southern Arizona. We used peak growing season field measurements to develop single-species and multispecies regression models using basal diameter and height to predict the current year's AGB for seven perennial grass species. Basal diameter exhibited the strongest relationship with AGB among single-species (adjusted R2 = 0.54 to 0.87) and multispecies models (adjusted R2 = 0.73). Inclusion of height did little to improve biomass predictions. Our models generally underestimated observed 2015 AGB on the loamy site, whereas models developed in 2005 on a sandier site overestimated the 2015 AGB. Results suggest site-specific allometric models should be used when possible. However, in lieu of such models, relationships developed at other sites or at other times may be appropriate depending on the level of precision needed to address a specific research question. © 2024 The Author(s)
dc.language.isoen
dc.publisherElsevier Inc.
dc.rights© 2024 The Author(s). Published by Elsevier Inc. on behalf of The Society for Range Management. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0)
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectaboveground biomass
dc.subjectallometry
dc.subjectdesert grassland
dc.subjectnondestructive sampling
dc.subjectSanta Rita Experimental Range
dc.subjectsize-biomass relationships
dc.titleComparing the Predictive Capacity of Allometric Models in Estimating Grass Biomass in a Desert Grassland
dc.typeArticle
dc.typetext
dc.contributor.departmentSchool of Natural Resources and the Environment, University of Arizona
dc.identifier.journalRangeland Ecology and Management
dc.description.noteOpen access article
dc.description.collectioninformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.
dc.eprint.versionFinal Published Version
dc.source.journaltitleRangeland Ecology and Management
refterms.dateFOA2024-04-01T22:53:05Z


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© 2024 The Author(s). Published by Elsevier Inc. on behalf of The Society for Range Management. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0)
Except where otherwise noted, this item's license is described as © 2024 The Author(s). Published by Elsevier Inc. on behalf of The Society for Range Management. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0)