Topoedaphic constraints on woody plant cover in a semi-arid grassland
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Affiliation
Arid Lands Resource Sciences, The University of ArizonaSchool of Natural Resources & the Environment, The University of Arizona
Issue Date
2023-04-27Keywords
Maximum potential shrub coverQuantile regression
Southwestern U.S. drylands
Woody plant dynamics
Woody plant encroachment
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Elsevier B.V.Citation
Jones, S. A., Archer, S. R., Hartfield, K. A., & Marsh, S. E. (2023). Topoedaphic constraints on woody plant cover in a semi-arid grassland. Ecological Indicators, 151, 110226.Journal
Ecological IndicatorsRights
© 2023 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license.Collection Information
This 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.Abstract
The proliferation of unpalatable woody plants at the expense of perennial grasses in recent decades has challenged our ability to manage rangelands. While there is substantial research documenting shrub proliferation, we know little about the maximum potential shrub cover for a given topoedaphic setting. To better understand the environmental controls over and constraints on shrub cover, we used high spatial resolution imagery to classify cover of a shrub (Prosopis velutina, velvet mesquite) proliferating in a Sonoran Desert grassland in southern Arizona, USA and explored how maximum shrub cover varies across ecological sites and topoedpahic settings. While the upper limit of shrub cover at the continental-scale is constrained by mean annual precipitation (MAP), our results show that this maxima has a wide range variously dictated by elevation, slope inclination/aspect, soil texture, and rainfall re-distribution. Within the watershed, maximum potential shrub cover ranged from < 3% to 45% with the magnitude and direction of topoedaphic influences varying significantly between landscape components. For example, topoedaphic properties enhanced precipitation (PPT) effectiveness and elevated maximum shrub cover above what might be predicted based on MAP alone on some ecological sites, but reduced PPT effectiveness and constrained shrub cover to levels below what would be predicted from MAP on other sites. Knowledge of upper limits of shrub cover at the within-watershed scale will strengthen dynamic vegetation models, serve as a basis to better design field and modeling experiments and decision support tools, and provide a spatial context indicators for prioritizing conservation/land management goals and objectives. © 2023 The Author(s)Note
Open access articleISSN
1470-160XVersion
Final Published Versionae974a485f413a2113503eed53cd6c53
10.1016/j.ecolind.2023.110226
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Except where otherwise noted, this item's license is described as © 2023 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license.