预告|GeoInsider第35期：全球陆地植被光合作用模拟及如何减小其不确定性

2020-08-26 21:51 作者:GeoInsider 0人读过 | 我要投稿

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在线讲座系列第35期

题目：Reducing the uncertainty in modelling global photosynthesis (Nature Ecology&Evolution paper)

报告人：Dr. Xiangzhong Luo, 1) Lawrence Berkeley National Laboratory; 2) UC Berkeley; 3) National University of Singapore

　　　　罗翔中博士，新加坡国立大学助理教授，前劳伦斯伯克利国家实验室博后

时间：北京时间 8月28日（周五）上午10:00

　　　加州时间 8月27日（周四）晚上7:00

　　　悉尼时间 8月28日（周五）中午12:00

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Presentation Abstract

Global photosynthesis is the largest carbon flux on earth, removing CO2 from the atmosphere to the biosphere and thus being critical to the mitigation of climate change. The amount of CO2 assimilated by leaf photosynthesis is dependent on ambient environmental factors (i.e. light, temperature, water) as well as the intrinsic photosynthetic capacity (i.e. maximum carboxylation rate; Vcmax25) of leaves. Such a biochemical process of photosynthesis has been well described by established models such as Farquhar’s model at the leaf scale. However, at the global scale, we find estimates of photosynthesis from earth system models vary in a large range, accompanied by substantial discrepancies in estimated trends and variability, indicating large uncertainty in the modelling of global photosynthesis and the global carbon budget. In this presentation, we will identify several key sources of uncertainty in modelling global photosynthesis: 1) light distribution within a canopy, 2) spatial and temporal variations in Vcmax25 and 3) acclimation of photosynthesis to intermediate/long-term light condition, and address these issues respectively using a simplified radiative transfer theory, remote sensing-derived leaf chlorophyll content and an ecological optimality theory.

References:

1. Luo X, Keenan TF. Global evidence for the acclimation of ecosystem photosynthesis to light. Nat Ecol Evol 2020. doi:10.1038/s41559-020-1258-7.

2. Luo X, Croft H, Chen JM, He L, Keenan TF. Improved estimates of global terrestrial photosynthesis using information on leaf chlorophyll content. Glob Chang Biol 2019; 25: 2499–2514.

3. Luo X, Chen JM, Liu J, Black TA, Croft H, Staebler R et al. Comparison of Big-Leaf, Two-Big-Leaf, and Two-Leaf Upscaling Schemes for Evapotranspiration Estimation Using Coupled Carbon-Water Modeling. J Geophys Res Biogeosciences 2018; 123: 207–225.

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