特色活动 | GeoInsider在线讲座第26期：植被遥感与陆地碳循环进展

全国地研联 2021-09-20

The following article is from GeoInsider地球科学前沿进展 Author GeoInsider

■ 活动简介 ■

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

参与方式：

B站“GeoInsider”直播间平台，直播间可现场留言提问，进入方式如下二选一：

(a)B站直播间链接：https://live.bilibili.com/22243531

(b)B站直播间二维码：

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

GeoInsider简介

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文章转载自：GeoInsider地球科学前沿进展

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