Soil moisture variation drives canopy water content dynamics across the western U.S.

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Abstract

Drought stress is a major contributing factor to plant mortality across the globe. Drought effects are often studied at the local scale, but recent advances in remote sensing allow for observations of plant water status across broad geographic scales. The vegetation optical depth (VOD) derived from satellite-based surface microwave emission has been shown to be sensitive to canopy water content, which is increasingly recognized as an important indicator of water relations and incipient mortality in plants. We develop an index which quantifies the normalized difference between night- and daytime diurnal VOD retrievals (nVODr) and apply it across the western U.S. to determine the relative sensitivity of plants to variations in water supply (soil moisture) and atmospheric water demand (vapor pressure deficit -VPD). Canopy water content dynamics were most sensitive to soil moisture variation at intermediate climatic water deficits where tree cover transitions to grass cover. These areas are in transitional climate zones and occur at ecotones between forest and non-forest vegetation where canopy water content dynamics are most sensitive to both soil moisture and VPD variation. Our results suggest that vegetation in semi-arid ecotones is likely to see the most proximal impacts of drought stress as the planet warms.

Original languageEnglish
Article number112233
JournalRemote Sensing of Environment
Volume253
DOIs
StatePublished - Feb 2021

Funding

This research was funded by a U.S. Geological Survey Northwest Climate Adaptation Science Center award G17AC000218 to Drew Lyons, and additional support was provided by NASA under grant number 80NSSC19K00181 .

FundersFunder number
G17AC000218
National Aeronautics and Space Administration80NSSC19K00181

    Keywords

    • Canopy water content
    • Drought stress
    • Land surface-atmosphere coupling
    • Soil moisture
    • Vapor pressure deficit
    • Vegetation optical depth

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