气候变化领域集成服务门户(CCPortal): Plants as sensors: Vegetation response to rainfall predicts root-zone water storage capacity in Mediterranean-type climates

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DOI	10.1088/1748-9326/abb10b
	Plants as sensors: Vegetation response to rainfall predicts root-zone water storage capacity in Mediterranean-type climates
	Dralle D.N.; Jesse Hahm W.; Rempe D.M.; Karst N.; Anderegg L.D.L.; Thompson S.E.; Dawson T.E.; Dietrich W.E.
发表日期	2020
ISSN	17489318
卷号	15 期号:10
英文摘要	In Mediterranean-type climates, asynchronicity between energy and water availability means that ecosystems rely heavily on the water-storing capacity of the subsurface to sustain plant water use over the summer dry season. The root-zone water storage capacity (Smax [L]) defines the maximum volume of water that can be stored in plant accessible locations in the subsurface, but is poorly characterized and difficult to measure at large scales. Here, we develop an ecohydrological modeling framework to describe how Smax mediates root zone water storage (S [L]), and thus dry season plant water use. The model reveals that where Smax is high relative to mean annual rainfall, S is not fully replenished in all years, and root-zone water storage and therefore plant water use are sensitive to annual rainfall. Conversely, where Smax is low, S is replenished in most years but can be depleted rapidly between storm events, increasing plant sensitivity to rainfall patterns at the end of the wet season. In contrast to both the high and low Smax cases, landscapes with intermediate Smax values are predicted to minimize variability in dry season evapotranspiration. These diverse plant behaviors enable a mapping between time variations in precipitation, evapotranspiration and Smax, which makes it possible to estimate Smax using remotely sensed vegetation data-that is, using plants as sensors. We test the model using observations of Smax in soils and weathered bedrock at two sites in the Northern California Coast Ranges. Accurate model performance at these sites, which exhibit strongly contrasting weathering profiles, demonstrates the method is robust across diverse plant communities, and modes of storage and runoff generation. © 2020 The Author(s). Published by IOP Publishing Ltd.
英文关键词	evapotranspiration; root-zone water storage capacity; seasonally dry; stochastic
语种	英语
scopus关键词	Digital storage; Drought; Evapotranspiration; Rain; Vegetation; Accurate modeling; Eco-hydrological models; Plant sensitivity; Runoff generation; Vegetation response; Water availability; Water storage capacity; Weathering profiles; Water supply; bedrock; dry season; evapotranspiration; plant community; rainfall; rhizosphere; soil water; vegetation dynamics; water availability; water storage; water use; California; Coast Ranges; United States
来源期刊	Environmental Research Letters
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/153579
作者单位	Pacific Southwest Research Station, United States Forest Service, Davis, CA, United States; Department of Geography, Simon Fraser University, Burnaby, BC, Canada; Jackson School of Geosciences, University of Texas at Austin, Austin, TX, United States; Division of Mathematics and Science, Babson College, Wellesley, MA, United States; Department of Integrative Biology, University of California at Berkeley, Berkeley, CA, United States; Civil, Environmental and Mining Engineering, University of Western Australia, Perth, Australia; Department of Integrative Biology, University of California at Berkeley, Berkeley, CA, United States; Earth and Planetary Sciences, University of California at Berkeley, Berkeley, CA, United States
推荐引用方式 GB/T 7714	Dralle D.N.,Jesse Hahm W.,Rempe D.M.,et al. Plants as sensors: Vegetation response to rainfall predicts root-zone water storage capacity in Mediterranean-type climates[J],2020,15(10).
APA	Dralle D.N..,Jesse Hahm W..,Rempe D.M..,Karst N..,Anderegg L.D.L..,...&Dietrich W.E..(2020).Plants as sensors: Vegetation response to rainfall predicts root-zone water storage capacity in Mediterranean-type climates.Environmental Research Letters,15(10).
MLA	Dralle D.N.,et al."Plants as sensors: Vegetation response to rainfall predicts root-zone water storage capacity in Mediterranean-type climates".Environmental Research Letters 15.10(2020).