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Soil moisture-vegetation interaction from near-global in-situ soil moisture measurements

Bibliographic Data

ID15548337
AuthorsShuping Li (0000-0002-6368-2542, The University of Tokyo, corresponding author), Yohei Sawada (0000-0003-0216-4677, The University of Tokyo)
Year2022
Volume17
Issue11
Pages114028-114028
Publication date2022-10-20
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEnvironmental Research Letters (JOURNAL)
Journal identifiersISSN: 1748-9326 • E-ISSN: 1748-9326
PublisherIOP Publishing (PUBLISHER • GB)
DOI10.1088/1748-9326/ac9c1f
OpenAlexW4306922547
LanguageEN
References cited59

Although the interactions between soil moisture (SM) and vegetation dynamics have been extensively investigated, most of previous findings are derived from satellite-observed and/or model-simulated SM data, which inevitably include multiple sources of error. With the effort of many field workers and researchers in in-situ SM measurement and SM data integration, it is now possible to obtain the integrated in-situ SM dataset in the global range. Here we used the in-situ SM dataset of the International Soil Moisture Network to analyze the anomaly correlation between SM and leaf area index (LAI). We found that positive (negative) correlations exist between SM (LAI) and temporally lagged LAI (SM). The peak correlation and lagging time to reach it (often less than 3 months) depends on climate, land cover and rooting depths. The high SM-LAI anomaly correlation prevails in water-limited regions, e.g. dryland, where plant physiology has strong sensitivity to subsurface water stress. Dynamics of vegetation with deeper maximum rooting depths are not always correlated with SM in deeper soil layers, and vegetation dynamics with shallower maximum rooting depth may strongly correlate with SM in deeper soil layers. Overall, we highlight the potential of the global in-situ SM observation network to analyze the interactions between SM and vegetation dynamics

Agronomy · Anomaly (physics · Atmospheric sciences · Geography · Hydrology (agriculture · In situ · Leaf area index · Meteorology · Moisture · Vegetation (pathology · Water content · Climate change and permafrost · Environmental Science · Soil and Unsaturated Flow · Soil Moisture and Remote Sensing · Geology · Soil Science

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