Interacting Effects of Leaf Water Potential and Biomass on Vegetation Optical Depth

Momen, Mostafa; Wood, Jeffrey D.; Novick, Kimberly A.; Pangle, Robert; Pockman, William T.; McDowell, Nate G.; Konings, Alexandra G.

doi:10.1002/2017JG004145

Title: Interacting Effects of Leaf Water Potential and Biomass on Vegetation Optical Depth

Journal Article · Thu Nov 23 00:00:00 EST 2017 · Journal of Geophysical Research. Biogeosciences

DOI:https://doi.org/10.1002/2017JG004145· OSTI ID:1430444

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^[3]; Pangle, Robert ^[4]; Pockman, William T. ^[4]; McDowell, Nate G. ^[5];

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Stanford Univ., CA (United States)
Univ. of Missouri, Columbia, MO (United States)
Indiana Univ., Bloomington, IN (United States)
Univ. of New Mexico, Albuquerque, NM (United States)
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)

Remotely sensed microwave observations of vegetation optical depth (VOD) have been widely used for examining vegetation responses to climate. Nevertheless, the relative impacts of phenological changes in leaf biomass and water stress on VOD have not been explicitly disentangled. In particular, determining whether leaf water potential (ψ_L) affects VOD may allow these data sets as a constraint for plant hydraulic models. Here, in this work, we test the sensitivity of VOD to variations in ψ_L and present a conceptual framework that relates VOD to ψ_L and total biomass including leaves, whose dynamics are measured through leaf area index, and woody components. We used measurements of ψ_L from three sites across the US—a mixed deciduous forests in Indiana and Missouri and a piñon-juniper woodland in New Mexico—to validate the conceptual model. The temporal dynamics of X-band VOD were similar to those of the VOD signal estimated from the new conceptual model with observed ψ_L (R² = 0.6–0.8). At the global scale, accounting for a combination of biomass and estimated ψ_L (based on satellite surface soil moisture data) increased correlations with VOD by ~ 15% and 30% compared to biomass and water potential, respectively. In wetter regions with denser and taller canopy heights, VOD has a higher correlation with leaf area index than with water stress and vice versa in drier regions. Our results demonstrate that variations in both phenology and ψ_L must be considered to accurately interpret the dynamics of VOD observations for ecological applications.

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Research Organization:: Pacific Northwest National Laboratory (PNNL), Richland, WA (United States); Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

Sponsoring Organization:: USDOE Laboratory Directed Research and Development (LDRD) Program; USDOE Office of Science (SC), Biological and Environmental Research (BER)

Grant/Contract Number:: AC05-76RL01830; AC05-00OR22725

OSTI ID:: 1430444

Alternate ID(s):: OSTI ID: 1410354

Report Number(s):: PNNL-SA-130914; 830403000

Journal Information:: Journal of Geophysical Research. Biogeosciences, Vol. 122, Issue 11; ISSN 2169-8953

Publisher:: American Geophysical UnionCopyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 87 works

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59 BASIC BIOLOGICAL SCIENCES
microwave remote sensing
vegetation optical depth
vegetation water content
leaf water potential
biomass

Title: Interacting Effects of Leaf Water Potential and Biomass on Vegetation Optical Depth

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