Prototype campaign assessment of disturbance-induced tree loss effects on surface properties for atmospheric modeling
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Villegas_et_al-2017-Ecosphere.pdf
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Villegas, Juan CamiloLaw, Darin J.
Stark, Scott C.
Minor, David M.
Breshears, David D.
Saleska, Scott R.
Swann, Abigail L. S.
Garcia, Elizabeth S.
Bella, Elizabeth M.
Morton, John M.
Cobb, Neil S.
Barron-Gafford, Greg A.
Litvak, Marcy E.
Kolb, Thomas E.
Affiliation
Univ Arizona, Sch Nat Resources & EnvironmIssue Date
2017-03
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WILEYCitation
Prototype campaign assessment of disturbance-induced tree loss effects on surface properties for atmospheric modeling 2017, 8 (3):e01698 EcosphereJournal
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© 2017 Villegas et al. This is an open access article under the terms of the Creative Commons Attribution 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
Changes in large-scale vegetation structure triggered by processes such as deforestation, wildfires, and tree die-off alter surface structure, energy balance, and associated albedo-all critical for land surface models. Characterizing these properties usually requires long-term data, precluding characterization of rapid vegetation changes such as those increasingly occurring in the Anthropocene. Consequently, the characterization of rapid events is limited and only possible in a few specific areas. We use a campaign approach to characterize surface properties associated with vegetation structure. In our approach, a profiling LiDAR and hemispherical image analyses quantify vegetation structure and a portable mast instrumented with a net radiometer, wind-humidity-temperature stations in a vertical profile, and soil temperature-heat flux characterize surface properties. We illustrate the application of our approach in two forest types (boreal and semiarid) with disturbance-induced tree loss. Our prototype characterizes major structural changes associated with tree loss, changes in vertical wind profiles, surface roughness energy balance partitioning, a proxy for NDVI (Normalized Differential Vegetation Index), and albedo. Multi-day albedo estimates, which differed between control and disturbed areas, were similar to tower-based multiyear characterizations, highlighting the utility and potential of the campaign approach. Our prototype provides general characterization of surface and boundary-layer properties relevant for land surface models, strategically enabling preliminary characterization of rapid vegetation disturbance events.Note
Open Access Journal.ISSN
21508925Version
Final published versionSponsors
NSF [EF-1340624, EF-1340649, EF-1340604, EF-1550641, EF-1550686, EF-1550756]; Arizona Agricultural Experiment Station; Estrategia de Sostenibilidad Universidad de Antioquia; North American Carbon Program/USDA CREES NRI [2004-35111-15057, 2008-3510119076]; Science Foundation Arizona [CAA 0-20308]Additional Links
http://doi.wiley.com/10.1002/ecs2.1698ae974a485f413a2113503eed53cd6c53
10.1002/ecs2.1698
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Except where otherwise noted, this item's license is described as © 2017 Villegas et al. This is an open access article under the terms of the Creative Commons Attribution License.