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dc.contributor.authorWainwright, Haruko M.
dc.contributor.authorSteefel, Christoph
dc.contributor.authorTrutner, Sarah D.
dc.contributor.authorHenderson, Amanda N.
dc.contributor.authorNikolopoulos, Efthymios, I
dc.contributor.authorWilmer, Chelsea F.
dc.contributor.authorChadwick, K. Dana
dc.contributor.authorFalco, Nicola
dc.contributor.authorSchaettle, Karl Bernard
dc.contributor.authorBrown, James Bentley
dc.contributor.authorSteltzer, Heidi
dc.contributor.authorWilliams, Kenneth H.
dc.contributor.authorHubbard, Susan S.
dc.contributor.authorEnquist, Brian J.
dc.date.accessioned2021-02-06T01:52:26Z
dc.date.available2021-02-06T01:52:26Z
dc.date.issued2020-08
dc.identifier.citationHaruko M Wainwright et al 2020 Environ. Res. Lett. 15 084018
dc.identifier.issn1748-9326
dc.identifier.doi10.1088/1748-9326/ab8fd0
dc.identifier.urihttp://hdl.handle.net/10150/651770
dc.description.abstractLong-term plot-scale studies have found water limitation to be a key factor driving ecosystem productivity in the Rocky Mountains. Specifically, the intensity of early summer (the 'foresummer' period from May to June) drought conditions appears to impose critical controls on peak ecosystem productivity. This study aims to (1) assess the importance of early snowmelt and foresummer drought in controlling peak plant productivity, based on the historical Landsat normalized-difference vegetation index (NDVI) and climate data; (2) map the spatial heterogeneity of foresummer drought sensitivity; and (3) identify the environmental controls (e.g. geomorphology, elevation, geology, plant types) on drought sensitivity. Our domain (15 x 15 km) includes four drainages within the East Water watershed near Gothic, Colorado, USA. We define foresummer drought sensitivity based on the regression slopes of the annual peak NDVI against the June Palmer Drought Severity Index between 1992 and 2010. Results show that foresummer drought sensitivity is spatially heterogeneous, and primarily dependent on the plant type and elevation. In support of the plot-based studies, we find that years with earlier snowmelt and drier foresummer conditions lead to lower peak NDVI; particularly in the low-elevation regions. Using random forest analysis, we identify additional key controls related to surface energy exchanges (i.e. potential net radiation), hydrological processes (i.e. microtopography and slope), and underlying geology. This remote-sensing-based approach for quantifying foresummer drought sensitivity can be used to identify the regions that are vulnerable or resilient to climate perturbations, as well as to inform future sampling, characterization, and modeling studies.
dc.language.isoen
dc.publisherIOP PUBLISHING LTD
dc.rightsCopyright © 2020 The Author(s). Published by IOP Publishing Ltd. Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence.
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectrandom forest
dc.subjectRocky Mountains
dc.subjectNDVI
dc.subjectforesummer drought sensitivity
dc.titleSatellite-derived foresummer drought sensitivity of plant productivity in Rocky Mountain headwater catchments: spatial heterogeneity and geological-geomorphological control
dc.typeArticle
dc.typetext
dc.contributor.departmentUniv Arizona, Dept Ecol & Evolutionary Biol
dc.identifier.journalENVIRONMENTAL RESEARCH LETTERS
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
refterms.dateFOA2021-02-06T01:52:26Z


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Copyright © 2020 The Author(s). Published by IOP Publishing Ltd. Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence.
Except where otherwise noted, this item's license is described as Copyright © 2020 The Author(s). Published by IOP Publishing Ltd. Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence.