Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Weijin Road 92, Tianjin 300072, PR China.
Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Weijin Road 92, Tianjin 300072, PR China; Tianjin Bohai Rim Coastal Earth Critical Zone National Observation and Research Station, Tianjin University, Weijin Road 92, Tianjin 300072, PR China; Tianjin Key Laboratory of Earth Critical Zone Science and Sustainable Development in Bohai Rim, Tianjin University, Weijin Road 92, Tianjin 300072, PR China.
Sci Total Environ. 2023 May 1;871:162124. doi: 10.1016/j.scitotenv.2023.162124. Epub 2023 Feb 9.
Terrestrial actual evapotranspiration (ET) is a key state variable modulating land surface processes; however, it remains challenging to recognize how daily ET responses to environmental variables vary with ecosystems, which is relevant for understanding various ecosystem processes. To this end, comprehensive datasets were synthesized for 22 field sites equipped with eddy covariance towers from the ChinaFLUX network and the National Tibetan Plateau Data Center, which included four different ecosystems across China (e.g., barren or sparsely vegetated-BAR, grassland, forest, and cropland ecosystems). The impacts of environmental variables on daily ET variations at each field site were assessed by the boosted regression tree (BRT) method. Overall, the BRT results showed that invariant of ecosystem types, net radiation (Rn) was the primary control on daily ET dynamics with an average contribution of 62.9 % for all the sites, followed by leaf area index-LAI (18.4 %), vapor pressure deficit (8.2 %), soil water content-SWC (7.4 %), and wind speed (3.1 %). More importantly, it was revealed that the interactions of daily ET with energy (Rn) and water (SWC) supplies could be significantly modified by vegetation through various regulation mechanisms. Specifically, for the BAR and grassland ecosystems, the influences of vegetation on daily ET highly depended on local land cover and hydrological conditions (e.g., groundwater). For the forest ecosystem, the contrasting impacts of LAI between evergreen and temperate forests were largely attributed to the differences in LAI dynamics over growing seasons, while physiological differences in crops affected the daily ET responses to LAI variations at cropland sites. This study underscored the varying interactions of daily ET with Rn and SWC, which could be further shaped by vegetation through a variety of regulation mechanisms across different ecosystems.
陆地实际蒸散量(ET)是调节陆面过程的关键状态变量;然而,识别环境变量如何随生态系统变化而影响日蒸散量仍然具有挑战性,这对于理解各种生态系统过程至关重要。为此,综合了中国通量网络和国家青藏高原数据中心的 22 个配备涡度相关塔的野外站点的综合数据集,其中包括中国的四个不同生态系统(例如,贫瘠或稀疏植被-BAR、草原、森林和农田生态系统)。通过提升回归树(BRT)方法评估了环境变量对每个野外站点日蒸散量变化的影响。总体而言,BRT 结果表明,不变的生态系统类型,净辐射(Rn)是日蒸散量动态的主要控制因素,对所有站点的平均贡献为 62.9%,其次是叶面积指数(LAI)(18.4%)、水汽压亏缺(8.2%)、土壤含水量(SWC)(7.4%)和风速(3.1%)。更重要的是,研究揭示了植被通过各种调节机制,显著改变了日蒸散量与能量(Rn)和水分(SWC)供应的相互作用。具体来说,对于 BAR 和草原生态系统,植被对日蒸散量的影响高度依赖于当地的土地覆盖和水文条件(例如地下水)。对于森林生态系统,常绿林和温带林之间的 LAI 对比影响主要归因于生长季节期间 LAI 动态的差异,而作物的生理差异影响了农田站点对 LAI 变化的日蒸散量响应。本研究强调了日蒸散量与 Rn 和 SWC 的相互作用的变化,这些变化可能会通过不同生态系统中各种调节机制进一步受到植被的影响。