Evaluating stomatal models and their atmospheric drought response in a land surface scheme: A multibiome analysis

被引:63
作者
Knauer, Juergen [1 ]
Werner, Christiane [2 ,3 ]
Zaehle, Soenke [1 ]
机构
[1] Max Planck Inst Biogeochem, Dept Biogeochem Integrat, D-07745 Jena, Germany
[2] Univ Bayreuth, BayCEER, Dept Agroecosyst Res, Bayreuth, Germany
[3] Univ Freiburg, Ecosyst Physiol, D-79106 Freiburg, Germany
基金
美国国家科学基金会; 加拿大自然科学与工程研究理事会;
关键词
Canopy conductance; atmospheric drought; land surface modeling; FLUXNET; VAPOR-PRESSURE DEFICIT; HYDRAULIC ARCHITECTURE; CARBON-DIOXIDE; WATER-STRESS; TERRESTRIAL BIOSPHERE; CLIMATE-CHANGE; CONDUCTANCE; PLANT; PHOTOSYNTHESIS; CANOPY;
D O I
10.1002/2015JG003114
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Stomatal conductance (g(s)) is a key variable in Earth system models as it regulates the transfer of carbon and water between the terrestrial biosphere and the lower atmosphere. Various approaches have been developed that aim for a simple representation of stomatal regulation applicable at the global scale. These models differ, among others, in their response to atmospheric humidity, which induces stomatal closure in a dry atmosphere. In this study, we compared the widely used empirical Ball-Berry and Leuning stomatal conductance models to an alternative empirical approach, an optimization-based approach, and a semimechanistic hydraulic model. We evaluated these models using evapotranspiration (ET) and gross primary productivity (GPP) observations derived from eddy covariance measurements at 56 sites across multiple biomes and climatic conditions. The different models were embedded in the land surface model JSBACH. Differences in performance across plant functional types or climatic conditions were small, partly owing to the large variations in the observational data. The models yielded comparable results at low to moderate atmospheric drought but diverged under dry atmospheric conditions, where models with a low sensitivity to air humidity tended to overestimate g(s). The Ball-Berry model gave the best fit to the data for most biomes and climatic conditions, but all evaluated approaches have proven adequate for use in land surface models. Our findings further encourage future efforts toward a vegetation-type-specific parameterization of g(s) to improve the modeling of coupled terrestrial carbon and water dynamics.
引用
收藏
页码:1894 / 1911
页数:18
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