Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1111/gcb.15314 |
Ecosystem transpiration and evaporation: Insights from three water flux partitioning methods across FLUXNET sites | |
Jacob A. Nelson; Oscar Pé; rez‐; Priego; Sha Zhou; Rafael Poyatos; Yao Zhang; Peter D. Blanken; Teresa E. Gimeno; Georg Wohlfahrt; Ankur R. Desai; Beniamino Gioli; Jean‐; Marc Limousin; Damien Bonal; Eugé; nie Paul‐; Limoges; Russell L. Scott; Andrej Varlagin; Kathrin Fuchs; Leonardo Montagnani; Sebastian Wolf; Nicolas Delpierre; Daniel Berveiller; Mana Gharun; Luca Belelli Marchesini; Damiano Gianelle; Ladislav Š; igut; Ivan Mammarella; Lukas Siebicke; T. Andrew Black; Alexander Knohl; Lukas Hö; rtnagl; Vincenzo Magliulo; Simon Besnard; Ulrich Weber; Nuno Carvalhais; Mirco Migliavacca; Markus Reichstein; Martin Jung | |
2020-10-06 | |
发表期刊 | Global Change Biology
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出版年 | 2020 |
英文摘要 | We apply and compare three widely applicable methods for estimating ecosystem transpiration (T) from eddy covariance (EC) data across 251 FLUXNET sites globally. All three methods are based on the coupled water and carbon relationship, but they differ in assumptions and parameterizations. Intercomparison of the three daily T estimates shows high correlation among methods (R between .89 and .94), but a spread in magnitudes of T/ET (evapotranspiration) from 45% to 77%. When compared at six sites with concurrent EC and sap flow measurements, all three EC‐based T estimates show higher correlation to sap flow‐based T than EC‐based ET. The partitioning methods show expected tendencies of T/ET increasing with dryness (vapor pressure deficit and days since rain) and with leaf area index (LAI). Analysis of 140 sites with high‐quality estimates for at least two continuous years shows that T/ET variability was 1.6 times higher across sites than across years. Spatial variability of T/ET was primarily driven by vegetation and soil characteristics (e.g., crop or grass designation, minimum annual LAI, soil coarse fragment volume) rather than climatic variables such as mean/standard deviation of temperature or precipitation. Overall, T and T/ET patterns are plausible and qualitatively consistent among the different water flux partitioning methods implying a significant advance made for estimating and understanding T globally, while the magnitudes remain uncertain. Our results represent the first extensive EC data‐based estimates of ecosystem T permitting a data‐driven perspective on the role of plants’ water use for global water and carbon cycling in a changing climate. |
领域 | 气候变化 ; 资源环境 |
URL | 查看原文 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/297871 |
专题 | 气候变化 资源环境科学 |
推荐引用方式 GB/T 7714 | Jacob A. Nelson,Oscar Pé,rez‐,et al. Ecosystem transpiration and evaporation: Insights from three water flux partitioning methods across FLUXNET sites[J]. Global Change Biology,2020. |
APA | Jacob A. Nelson.,Oscar Pé.,rez‐.,Priego.,Sha Zhou.,...&Martin Jung.(2020).Ecosystem transpiration and evaporation: Insights from three water flux partitioning methods across FLUXNET sites.Global Change Biology. |
MLA | Jacob A. Nelson,et al."Ecosystem transpiration and evaporation: Insights from three water flux partitioning methods across FLUXNET sites".Global Change Biology (2020). |
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