Hua Langqin, Li Lin, Chen Wenjing, Wang Xuemeng, Xiong Xin, Zhou Guoyi
Institute of Ecology, School of Ecology and Applied Meteorology, Nanjing University of Information Science & Technology, Nanjing 210044, China.
Jiangxi Provincial Key Laboratory of Carbon Neutrality and Ecosystem Carbon Sink, Lushan Botanical Garden, Jiangxi Province and Chinese Academy of Sciences, Jiujiang 332900, China.
Innovation (Camb). 2025 Jan 6;6(1):100733. doi: 10.1016/j.xinn.2024.100733.
Ecosystem changes can simultaneously generate various climate-related effects, such as evapotranspiration (vapor flux) effects, carbon-cycle effects, and surface temperature effects. These effects are coupled with one another because they are generated through the same biophysical and biogeochemical processes. Consequently, given an easily measurable effect, other effects can be predicted from the measured effect. Here, based on global eddy covariance (EC) observations, we show that the ratio of the daytime to daily vapor flux (RATIO) reflects the complexity of various ecosystem types and is highly coupled with climate effects of ecosystem changes. For the same daily RATIO, the magnitudes of the same EC variable remain unchanged across all of the ecosystems and, thus, EC observations for an ecosystem or place can be mapped to other ecosystems or places in accordance with their daily RATIO values. By applying the daily RATIO, the effects of ecosystem changes on the surface temperature in different climatic zones (including the Tibetan Plateau) can be predicted, which is highly consistent with all previous studies. We found that cooling or warming effects are controlled by the RATIO, not by enhanced or reduced evapotranspiration as many studies have suggested. This study provides a new and simple approach for evaluating the climate effects of ecosystem changes at all spatial-temporal scales worldwide.
生态系统变化能够同时产生各种与气候相关的效应,例如蒸散(水汽通量)效应、碳循环效应和地表温度效应。这些效应相互关联,因为它们是通过相同的生物物理和生物地球化学过程产生的。因此,在给定一个易于测量的效应的情况下,可以从测量到的效应预测其他效应。在此,基于全球涡度协方差(EC)观测,我们表明白天与日水汽通量之比(RATIO)反映了各种生态系统类型的复杂性,并且与生态系统变化的气候效应高度相关。对于相同的日RATIO,所有生态系统中相同的EC变量大小保持不变,因此,一个生态系统或地点的EC观测结果可以根据其日RATIO值映射到其他生态系统或地点。通过应用日RATIO,可以预测生态系统变化对不同气候区(包括青藏高原)地表温度的影响,这与之前所有研究高度一致。我们发现,降温或升温效应由RATIO控制,而不是像许多研究表明的那样由蒸散增强或减弱控制。本研究提供了一种全新且简单的方法,用于评估全球所有时空尺度上生态系统变化的气候效应。