預(yù)告|GeoInsider第35期：全球陸地植被光合作用模擬及如何減小其不確定性

2020-08-26 21:51 作者:GeoInsider 0人讀過 | 我要投稿

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信達(dá)雅科教(歐美教授/研究員領(lǐng)銜的英文專家潤色) ：http://www.pandaedit.com/

GeoInsider Webinar

在線講座系列第35期

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

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

　　　　羅翔中博士，新加坡國立大學(xué)助理教授，前勞倫斯伯克利國家實(shí)驗(yàn)室博后

時間：北京時間 8月28日（周五）上午10:00

　　　加州時間 8月27日（周四）晚上7:00

　　　悉尼時間 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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