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

Knauer, J., Werner, C., & Zaehle, S. (2015). Evaluating stomatal models and their atmospheric drought response in a land surface scheme: A multibiome analysis. Journal of Geophysical Research: Biogeosciences, 120(10), 1894-1911. doi:10.1002/2015JG003114.

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資料種別: 学術論文

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BGC2399.pdf (出版社版), 2MB
 
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 作成者:
Knauer, Jürgen1, 2, 著者           
Werner, Christiane, 著者
Zaehle, Sönke1, 3, 著者           
所属:
1Terrestrial Biosphere Modelling , Dr. Sönke Zähle, Department Biogeochemical Integration, Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1938309              
2IMPRS International Max Planck Research School for Global Biogeochemical Cycles, Max Planck Institute for Biogeochemistry, Max Planck Society, Hans-Knöll-Str. 10, 07745 Jena, DE, ou_1497757              
3Terrestrial Biosphere Modelling , Dr. Sönke Zähle, Department Biogeochemical Integration, Prof. Dr. Martin Heimann, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1497787              

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 要旨: Stomatal conductance (gs) 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 gs. 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 gs to improve the modeling of coupled terrestrial carbon and water dynamics.

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 日付: 2015-09-082015-10-032015
 出版の状態: 出版
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 識別子(DOI, ISBNなど): その他: BGC2399
DOI: 10.1002/2015JG003114
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出版物 1

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出版物名: Journal of Geophysical Research: Biogeosciences
  その他 : J. Geophys. Res. - E
  省略形 : JGR-E
種別: 学術雑誌
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出版社, 出版地: [Washington, DC] : American Geophysical Union
ページ: - 巻号: 120 (10) 通巻号: - 開始・終了ページ: 1894 - 1911 識別子(ISBN, ISSN, DOIなど): ISSN: 2169-8961
CoNE: https://pure.mpg.de/cone/journals/resource/1000000000326920