Improving the monitoring of crop productivity using spaceborne solar-induced fluorescence

被引:296
作者
Guan, Kaiyu [1 ,2 ]
Berry, Joseph A. [3 ]
Zhang, Yongguang [4 ,5 ]
Joiner, Joanna [6 ]
Guanter, Luis [5 ]
Badgley, Grayson [1 ,3 ]
Lobell, David B. [1 ,2 ]
机构
[1] Stanford Univ, Dept Earth Syst Sci, Stanford, CA 94305 USA
[2] Stanford Univ, Ctr Food Secur & Environm, Stanford, CA 94305 USA
[3] Carnegie Inst Sci, Dept Global Ecol, Stanford, CA 94305 USA
[4] Nanjing Univ, Int Inst Earth Syst Sci, Nanjing 210023, Jiangsu, Peoples R China
[5] German Res Ctr Geosci GFZ, Remote Sensing Sect, Telegrafenberg A17, D-14473 Potsdam, Germany
[6] NASA, Goddard Space Flight Ctr, Lab Atmospher Chem & Dynam, Code 614, Greenbelt, MD 20771 USA
基金
美国国家科学基金会;
关键词
carbon use efficiency; crop monitoring; fluorescence; gross primary production; net primary production; respiration; LIGHT-USE EFFICIENCY; GROSS PRIMARY PRODUCTION; CHLOROPHYLL FLUORESCENCE; TERRESTRIAL ECOSYSTEM; UNITED-STATES; PHOTOSYNTHESIS; MODELS; SATELLITE; MODIS; TEMPERATURE;
D O I
10.1111/gcb.13136
中图分类号
X176 [生物多样性保护];
学科分类号
090705 ;
摘要
Large-scale monitoring of crop growth and yield has important value for forecasting food production and prices and ensuring regional food security. A newly emerging satellite retrieval, solar-induced fluorescence (SIF) of chlorophyll, provides for the first time a direct measurement related to plant photosynthetic activity (i.e. electron transport rate). Here, we provide a framework to link SIF retrievals and crop yield, accounting for stoichiometry, photosynthetic pathways, and respiration losses. We apply this framework to estimate United States crop productivity for 2007-2012, where we use the spaceborne SIF retrievals from the Global Ozone Monitoring Experiment-2 satellite, benchmarked with county-level crop yield statistics, and compare it with various traditional crop monitoring approaches. We find that a SIF-based approach accounting for photosynthetic pathways (i.e. C-3 and C-4 crops) provides the best measure of crop productivity among these approaches, despite the fact that SIF sensors are not yet optimized for terrestrial applications. We further show that SIF provides the ability to infer the impacts of environmental stresses on autotrophic respiration and carbon-use-efficiency, with a substantial sensitivity of both to high temperatures. These results indicate new opportunities for improved mechanistic understanding of crop yield responses to climate variability and change.
引用
收藏
页码:716 / 726
页数:11
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