Sperry John S, Wang Yujie, Wolfe Brett T, Mackay D Scott, Anderegg William R L, McDowell Nate G, Pockman William T
Department of Biology, University of Utah, Salt Lake City, UT, 84112, USA.
Smithsonian Tropical Research Institute, PO Box 0843-03092, Balboa, Panama.
New Phytol. 2016 Nov;212(3):577-589. doi: 10.1111/nph.14059. Epub 2016 Jun 22.
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 ) from soil water potential (P ) and vapor pressure deficit (D). Modeled responses to D and P 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 across nine data sets from seasonally dry tropical forest and piñon-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.
生态系统模型在预测植物干旱响应方面存在困难,部分原因在于气孔对土壤和大气水分亏缺响应的不确定性。我们评估了一种用于水分受限气孔行为的“供需”理论,该理论避免了经验响应函数的典型框架。其前提是冠层水分需求根据木质部空化和土壤干燥对供应造成的威胁成比例调节。该理论在一个基于性状的土壤 - 植物 - 大气模型中得以实现。该模型根据土壤水势(P)和水汽压差(D)预测冠层蒸腾(E)、冠层扩散导度(G)和冠层木质部压力(P)。对D和P的模拟响应与经验响应函数一致,但控制参数是水力性状而非系数。最大水力和扩散导度以及水力导度损失的脆弱性决定了气孔敏感性,进而决定了调节的等水到非等水光谱。该模型与来自季节性干燥热带森林和矮松 - 杜松林地的九个数据集的G和P的广泛波动相匹配,平均误差<26%。有前景的初步表现表明该理论可能有助于改进生态系统模型。更好地理解沿根茎叶连续体的水力特性变化将简化参数化。