Satellite-derived foresummer drought sensitivity of plant productivity in Rocky Mountain headwater catchments: spatial heterogeneity and geological-geomorphological control

• Published in: Environmental research letters Vol. 15; no. 8; pp. 84018 - 84027
• Main Authors: 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
• Format: Journal Article
• Language: English
• Published: Bristol IOP Publishing 01.08.2020
• Subjects: Catchments; Climate models; Climatic data; Drought; Elevation; ENVIRONMENTAL SCIENCES; foresummer drought sensitivity; Geology; Geomorphology; Heterogeneity; Hydrology; Landsat; Landsat satellites; Mountains; NDVI; Net radiation; Normalized difference vegetative index; Perturbation; Productivity; random forest; Remote sensing; Rocky Mountains; Sensitivity; Snowmelt; Spatial heterogeneity; Surface energy; Surface properties
• ISSN: 1748-9326; 1748-9326
• DOI: 10.1088/1748-9326/ab8fd0

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 × 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.