Remote Sensing Indices to Measure the Seasonal Dynamics of Photosynthesis in a Southern China Subtropical Evergreen Forest

	Remote Sensing Indices to Measure the Seasonal Dynamics of Photosynthesis in a Southern China Subtropical Evergreen Forest
	Sun Leigang 2; Wang Shaoqiang 2; Mickler Robert A 3; Chen Jinghua 2; Yu Quanzhou 1; Qian Zhaohui 2; Zhou Guoyi 4; Meng Ze 4
刊名	Journal of Resources and Ecology
	2019
卷号	10 期号:2 页码:112
关键词	荧光指数光化学植被指数光合作用总初级生产力光能利用率亚热带常绿林
ISSN号	1674-764X
英文摘要	The accurate measurement of the dynamics of photosynthesis in China’s subtropical evergreen forest ecosystems is an important contribution to carbon (C) sink estimates in global terrestrial ecosystems and their responses to climate change.Eddy covariance has historically been the only direct method to assess C flux of whole ecosystems with high temporal resolution,but it suffers from limited spatial resolution.During the last decade,continuous global monitoring of plant primary productivity from spectroradiometer sensors on flux towers and satellites has extended the temporal and spatial coverage of C flux observations.In this study,we evaluated the performance of two physiological remote sensing indices,fluorescence reflectance index (FRI) and photochemical reflectance index (PRI),to measure the seasonal variations of photosynthesis in a subtropical evergreen forest ecosystem using continuous canopy spectral and flux measurements in the Dinghushan Nature Reserve in southern China.The more commonly used NDVI has been shown to be saturated and mainly affected by illumination (R~2=0.88,p <0.001),but FRI and PRI could better track the seasonal dynamics of plant photosynthetic functioning by comparison and are less affected by illumination (R~2=0.13 and R~2=0.51,respectively) at the seasonal scale.FRI correlated better with daily gross primary production (GPP) in the morning hours than in the afternoon hours,in contrast to PRI which correlated better with light-use efficiency (LUE) in the afternoon hours.Both FRI and PRI could show greater correlations with GPP and LUE respectively in the senescence season than in the recovery-growth season.When incident PAR was taken into account,the relationship between GPP and FRI was improved and the correlation coefficient increased from 0.22 to 0.69 (p <0.001).The strength of the correlation increased significantly in the senescence season (R 2=0.79,p <0.001).Our results demonstrate the application of FRI and PRI as physiological indices for the accurate measurement of the seasonal dynamics of plant community photosynthesis in a subtropical evergreen forest,and suggest these indices may be applied to carbon cycle models to improve the estimation of regional carbon budgets.
语种	英语
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/155101]
专题	中国科学院地理科学与资源研究所
作者单位	1.School of Environment and Planning,Liaocheng University 2.Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences 3.Department of Forestry and Environmental Resources,North Carolina State University 4.South China Botanical Garden,Chinese Academy of Sciences
推荐引用方式 GB/T 7714	Sun Leigang,Wang Shaoqiang,Mickler Robert A,et al. Remote Sensing Indices to Measure the Seasonal Dynamics of Photosynthesis in a Southern China Subtropical Evergreen Forest[J]. Journal of Resources and Ecology,2019,10(2):112.
APA	Sun Leigang.,Wang Shaoqiang.,Mickler Robert A.,Chen Jinghua.,Yu Quanzhou.,...&Meng Ze.(2019).Remote Sensing Indices to Measure the Seasonal Dynamics of Photosynthesis in a Southern China Subtropical Evergreen Forest.Journal of Resources and Ecology,10(2),112.
MLA	Sun Leigang,et al."Remote Sensing Indices to Measure the Seasonal Dynamics of Photosynthesis in a Southern China Subtropical Evergreen Forest".Journal of Resources and Ecology 10.2(2019):112.