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dc.contributor.authorWilliams, C. Jason
dc.contributor.authorPierson, Frederick B.
dc.contributor.authorKormos, Patrick R.
dc.contributor.authorAl-Hamdan, Osama Z.
dc.contributor.authorJohnson, Justin C.
dc.date.accessioned2020-12-16T00:23:21Z
dc.date.available2020-12-16T00:23:21Z
dc.date.issued2020-06-17
dc.identifier.citationWilliams, C. J., Pierson, F. B., Kormos, P. R., Al-Hamdan, O. Z., & Johnson, J. C. (2020). Vegetation, ground cover, soil, rainfall simulation, and overland-flow experiments before and after tree removal in woodland-encroached sagebrush steppe: the hydrology component of the Sagebrush Steppe Treatment Evaluation Project (SageSTEP). Earth System Science Data, 12(2), 1347-1365.en_US
dc.identifier.issn1866-3508
dc.identifier.doi10.5194/essd-12-1347-2020
dc.identifier.urihttp://hdl.handle.net/10150/649305
dc.description.abstractRainfall simulation and overland-flow experiments enhance understanding of surface hydrology and erosion processes, quantify runoff and erosion rates, and provide valuable data for developing and testing predictive models. We present a unique dataset (1021 experimental plots) of rainfall simulation (1300 plot runs) and overland-flow (838 plot runs) experimental plot data paired with measures of vegetation, ground cover, and surface soil physical properties spanning point to hillslope scales. The experimental data were collected at three sloping sagebrush (Artemisia spp.) sites in the Great Basin, USA, each subjected to woodland encroachment and with conditions representative of intact wooded shrublands and 1-9 years following wildfire, prescribed fire, and/or tree cutting and shredding tree-removal treatments. The methodologies applied in data collection and the cross-scale experimental design uniquely provide scale-dependent, separate measures of interrill (rain splash and sheet flow processes, 0.5 m(2) plots) and concentrated overland-flow runoff and erosion rates (similar to 9 m(2) plots), along with collective rates for these same processes combined over the patch scale (13m(2) plots). The dataset provides a valuable source for developing, assessing, and calibrating/validating runoff and erosion models applicable to diverse plant community dynamics with varying vegetation, ground cover, and surface soil conditions. The experimental data advance understanding and quantification of surface hydrologic and erosion processes for the research domain and potentially for other patchy-vegetated rangeland landscapes elsewhere. Lastly, the unique nature of repeated measures spanning numerous treatments and timescales delivers a valuable dataset for examining long-term landscape vegetation, soil, hydrology, and erosion responses to various management actions, land use, and natural disturbances. The dataset is available from the US Department of Agriculture National Agricultural Library at https://data.nal.usda.gov/search/type/dataset (last access: 7 May 2020) (doi: https://doi.org/10.15482/USDA.ADC/1504518; Pierson et al., 2019).en_US
dc.language.isoenen_US
dc.publisherCOPERNICUS GESELLSCHAFT MBHen_US
dc.rights© Author(s) 2020. This work is distributed under the Creative Commons Attribution 4.0 License.en_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.titleVegetation, ground cover, soil, rainfall simulation, and overland-flow experiments before and after tree removal in woodland-encroached sagebrush steppe: the hydrology component of the Sagebrush Steppe Treatment Evaluation Project (SageSTEP)en_US
dc.typeArticleen_US
dc.identifier.eissn1866-3516
dc.contributor.departmentUniv Arizona, Sch Nat Resources & Environmen_US
dc.identifier.journalEARTH SYSTEM SCIENCE DATAen_US
dc.description.noteOpen access journalen_US
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.en_US
dc.eprint.versionFinal published versionen_US
dc.source.journaltitleEarth System Science Data
dc.source.volume12
dc.source.issue2
dc.source.beginpage1347
dc.source.endpage1365
refterms.dateFOA2020-12-16T00:23:32Z


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© Author(s) 2020. This work is distributed under the Creative Commons Attribution 4.0 License.
Except where otherwise noted, this item's license is described as © Author(s) 2020. This work is distributed under the Creative Commons Attribution 4.0 License.