预告|GeoInsider 第26期：陈镜明院士-植被遥感与陆地碳循环-Nature Communications

2020-06-25 06:52 作者:GeoInsider 0人读过 | 我要投稿

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GeoInsider Webinar

在线讲座系列第26期

题目：Vegetation Remote Sensing for Terrestrial Carbon Cycle Estimation

植被遥感与陆地碳循环进展

报告人：Dr. Jingming Chen, University of Toronto/Fujian Normal University

陈镜明教授，多伦多大学&福建师范大学，遥感顶级刊物《环境遥感》Remote Sensing of Environment主编，加拿大皇家科学院院士

时间：北京时间 6月26日（周五）上午10:00

加州时间 6月25日（周四）晚上7:00

悉尼时间 6月26日（周五）中午12:00

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Presentation Abstract

Optical remote sensing data have been extensively used for global mapping of vegetation structural parameters, such as leaf area index (LAI). In the first part of this presentation I will briefly introduce the use of satellite-derived global LAI products since 1981 for terrestrial carbon cycle estimation, based on the paper by Chen et al. (2019). Through process-based diagnostic ecosystem modeling, we find that the increase in LAI alone was responsible for 12.4% of the accumulated terrestrial carbon sink (95±5 Pg C) from 1981 to 2016, while other drivers of CO2 fertilization, nitrogen deposition, and climate change (temperature, radiation, and precipitation) contributed to 47.0%, 1.1%, and -28.6% of the sink, respectively. These results refine the attribution of the land sink to the various drivers and would help constrain prognostic models that often have large uncertainties in simulating changes in vegetation and their impacts on the global carbon cycle.

Optical remote sensing data have also recently been shown to be useful for deriving vegetation biochemical and functional traits, such as leaf chlorophyll content (LCC) and the maximum carboxylation rate (Vcmax), both of which can be used to refine carbon cycle estimation. The second part of this presentation will provide an overview of our recent works on deriving LCC from multispectral remote sensing data (Croft et al., 2020) and Vcmax from Sun-Induced Chlorophyll Fluorescence (SIF) (He et al., 2019). The usefulness of these parameters in global carbon cycle research, existing issues and future research directions will be discussed.

References

Chen, J. M., W. M. Ju, P. Ciais, N. Viovy, R. Liu and Y. Liu. 2019. Vegetation structural change since 1981 significantly enhanced the terrestrial carbon sink. Nature Communications, 10:4259. https://doi.org/10.1038/s41467-019-12257-8.

Croft, H., J. M. Chen, G. Mo, S. Luo, X. Luo, J. Arabian, Y. Zhang, A. Simic, T. L. Noland, Y. He, L. Homolová, Z. Malenovský, Q. Yi, J. Beringer, R. Amiri, L. Hutley, P. Arellano, C. Stahl, D. Bonal, Global distribution of leaf chlorophyll content. Remote Sensing of Environment, 236, 111479. https://doi.org/10.1016/j.rse.2019.111479.

He, L., J. M. Chen, J. Liu, T. Zheng, R. Wang, J. Joiner, S. Chou, B. Chen, Y. Liu, R. Liu. 2019. Diverse photosynthetic capacity of global ecosystems mapped by satellite chlorophyll fluorescence measurements. Remote Sensing of Environment, 232, 111344. https://doi.org/10.1016/j.rse.2019.111344.

Linkage

Nature Communications 论文链接：

https://www.nature.com/articles/s41467-019-12257-8

Remote Sensing of Environment 论文链接：

https://www.sciencedirect.com/science/article/pii/S0034425719304985

https://www.sciencedirect.com/science/article/abs/pii/S0034425719303633

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