Satellite-derived foresummer drought sensitivity of plant productivity in Rocky Mountain headwater catchments: spatial heterogeneity and geological-geomorphological control
Author
Wainwright, Haruko M.Steefel, Christoph
Trutner, Sarah D.
Henderson, Amanda N.
Nikolopoulos, Efthymios, I
Wilmer, Chelsea F.
Chadwick, K. Dana
Falco, Nicola
Schaettle, Karl Bernard
Brown, James Bentley
Steltzer, Heidi
Williams, Kenneth H.
Hubbard, Susan S.
Enquist, Brian J.
Affiliation
Univ Arizona, Dept Ecol & Evolutionary BiolIssue Date
2020-08
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IOP PUBLISHING LTDCitation
Haruko M Wainwright et al 2020 Environ. Res. Lett. 15 084018Journal
ENVIRONMENTAL RESEARCH LETTERSRights
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.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
Long-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.Note
Open access articleISSN
1748-9326Version
Final published versionae974a485f413a2113503eed53cd6c53
10.1088/1748-9326/ab8fd0
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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.