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散文網(wǎng) » 生活 »日常 » 預(yù)告|GeoInsider 第26期：陳鏡明院士-植被遙感與陸地碳循環(huán)-Nature Communications

預(yù)告|GeoInsider 第26期：陳鏡明院士-植被遙感與陸地碳循環(huán)-Nature Communications

2020-06-25 06:52 作者:GeoInsider 0人讀過(guò) | 我要投稿

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?■ 活動(dòng)簡(jiǎn)介 ■

GeoInsider Webinar

在線講座系列第26期

題目：Vegetation Remote Sensing for Terrestrial Carbon Cycle Estimation

植被遙感與陸地碳循環(huán)進(jìn)展

報(bào)告人：Dr. Jingming Chen, University of Toronto/Fujian Normal University

陳鏡明教授，多倫多大學(xué)&福建師范大學(xué)，遙感頂級(jí)刊物《環(huán)境遙感》Remote Sensing of Environment主編，加拿大皇家科學(xué)院院士

時(shí)間：北京時(shí)間 6月26日（周五）上午10:00

? ? ? ? ? ?加州時(shí)間 6月25日（周四）晚上7:00

? ? ? ? ? ?悉尼時(shí)間 6月26日（周五）中午12:00

參與方式：B站“GeoInsider”直播間平臺(tái)，直播間可現(xiàn)場(chǎng)留言提問(wèn)，進(jìn)入方式如下二選一：

(a)B站直播間鏈接：https://live.bilibili.com/22243531

(b)B站直播間二維碼：

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. Malenovsky, 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.?

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Linkage

Nature Communications 論文鏈接：

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

Remote Sensing of Environment 論文鏈接：

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

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

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致謝

本活動(dòng)由GeoInsider主辦，得到全國(guó)地理學(xué)研究生聯(lián)合會(huì)、北京師范大學(xué)地理科學(xué)學(xué)部GEO云講堂、信達(dá)雅科教、環(huán)宇易研科技、世界科研學(xué)術(shù)者團(tuán)隊(duì)(WSRS)等單位的大力支持。