4.6 Article

Pragmatic hydraulic theory predicts stomatal responses to climatic water deficits

期刊

NEW PHYTOLOGIST
卷 212, 期 3, 页码 577-589

出版社

WILEY
DOI: 10.1111/nph.14059

关键词

climate change drought; hydraulic limitation; modeling climate change impacts; plant drought responses; plant water transport; stomatal regulation; xylem cavitation; xylem transport

资金

  1. National Science Foundation [IOS-1450650, IOS-1450679]
  2. Department of Energy, Survival Mortality and Next Generation Ecosystem Experiment-Tropics
  3. Direct For Biological Sciences
  4. Division Of Environmental Biology [1440478] Funding Source: National Science Foundation
  5. Division Of Integrative Organismal Systems
  6. Direct For Biological Sciences [1450650] Funding Source: National Science Foundation

向作者/读者索取更多资源

Ecosystem models have difficulty predicting plant drought responses, partially from uncertainty in the stomatal response to water deficits in soil and atmosphere. We evaluate a supply-demand' theory for water-limited stomatal behavior that avoids the typical scaffold of empirical response functions. The premise is that canopy water demand is regulated in proportion to threat to supply posed by xylem cavitation and soil drying. The theory was implemented in a trait-based soil-plant-atmosphere model. The model predicted canopy transpiration (E), canopy diffusive conductance (G), and canopy xylem pressure (P-canopy) from soil water potential (P-soil) and vapor pressure deficit (D). Modeled responses to D and P-soil were consistent with empirical response functions, but controlling parameters were hydraulic traits rather than coefficients. Maximum hydraulic and diffusive conductances and vulnerability to loss in hydraulic conductance dictated stomatal sensitivity and hence the iso- to anisohydric spectrum of regulation. The model matched wide fluctuations in G and P-canopy across nine data sets from seasonally dry tropical forest and pinon-juniper woodland with <26% mean error. Promising initial performance suggests the theory could be useful in improving ecosystem models. Better understanding of the variation in hydraulic properties along the root-stem-leaf continuum will simplify parameterization.

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