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应用叶绿素荧光估算植被总初级生产力研究进展 被引量:11

Progress of Using the Chlorophyll Fluorescence to Estimate Terrestrial Gross Primary Production
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摘要 日光诱导叶绿素荧光作为光能在叶片上光合作用的伴生产物,包含丰富的光合信息,被认为是可以表征植物光合作用的快速、无损“指示器”。叶绿素荧光在研究植物胁迫、病虫害监测、估算植被总初级生产力(Gross Primary Production,GPP)等方面发挥着独特的作用。陆地植被GPP是研究全球气候、碳循环变化、全球生态系统等的重要内容。准确、及时地掌握GPP的时空分布特征,有利于深入理解生物圈与大气圈之间的相互作用,可为开展减缓全球气候变化的生态过程管理提出相应建议和对策。相比于植被指数,叶绿素荧光对植被光合作用的敏感程度更高,已被证实可以更直接有效地监测GPP,显著优于传统的GPP估算方法。深入探讨了叶绿素荧光在遥感估算GPP领域的基本原理、方法、不确定性以及最新进展,并对其面临的挑战和未来趋势进行了分析。 As an accompanying product of the photosynthesis of leaves,solar-induced chlorophyll fluorescence contains abundant photosynthetic information,so it is considered as a fast and non-destructive indicator that can well reflect the photosynthesis of plants.Chlorophyll fluorescence plays a unique role in studying plant stress,monitoring plant diseases and insect pests,and also estimating the gross primary production.Gross Primary Production(GPP)is an important part of the researches on global climate,carbon cycle change and the global ecosystem.Grasping the spatial and temporal distribution characteristics of GPP accurately and timely is conducive to an in-depth understanding of the interactions between biosphere and atmosphere.It can provide corresponding suggestions and policies for the ecological process management of global climate change mitigation.Compared with vegetation index,chlorophyll fluorescence is more sensitive to photosynthesis,which has been proved to be a more direct estimation method of GPP.The chlorophyll fluorescence model has significant advantages over other traditional estimation methods.It is of profound importance to discuss the basic principle,methods,uncertain,latest breakthrough,the challenges and future trend of solar-induced chlorophyll fluorescence in the field of remote sensing estimation of GPP.
作者 王雅楠 韦瑾 汤旭光 韩旭军 马明国 Wang Ya'nan;Wei Jin;Tang Xuguang;Han Xujun;Ma Mingguo(Chongqing Jinfo Mountain Field Scientific Observation and Research Station for Karst Ecosystem,Ministry of Education,School of Geographical Sciences,Southwest University,Chongqing 400715,China;Chongqing Engineering Research Center for Remote Sensing Big Data Application,School of Geographical Sciences,Southwest University,Chongqing 400715,China)
出处 《遥感技术与应用》 CSCD 北大核心 2020年第5期975-989,共15页 Remote Sensing Technology and Application
基金 重庆市基础研究与前沿探索项目(cstc2018jcyjAX0056)。
关键词 叶绿素荧光 植被总初级生产力 光合作用 生态系统 Chlorophyll fluorescence Gross Primary Production(GPP) Photosynthesis Ecosystem
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