Importance of Shaded Leaf Contribution to the Total GPP of Canadian Terrestrial Ecosystems: Evaluation of MODIS GPP

doi:10.1029/2020JG005917

	Importance of Shaded Leaf Contribution to the Total GPP of Canadian Terrestrial Ecosystems: Evaluation of MODIS GPP
	Chen, Bin 7,8,9; Arain, M. Altaf 8,9; Chen, Jing M.1,2,3; Wang, Shaoqiang 4,6,7; Fang, Hongliang 4,5; Liu, Zhenhai 6; Mo, Gang 1,2; Liu, Jane 1,2
刊名	JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES
	2020-10-01
卷号	125 期号:10 页码:22
关键词	gross primary productivity light use efficiency the two‐ leaf model MODIS Canadian land surface scheme
ISSN号	2169-8953
DOI	10.1029/2020JG005917
通讯作者	Chen, Bin(chenbin@igsnrr.ac.cn) ; Chen, Jing M.(jing.chen@utoronto.ca)
英文摘要	Terrestrial gross primary productivity (GPP) quantifies the photosynthetic uptake by vegetation and it is the largest component of the terrestrial carbon cycle. The separation of sunlit and shaded leaves has been shown to be an effective leaf-to-canopy upscaling method for modeling vegetation GPP. In this study, the performance of the Integrated Carbon-Canadian Land Surface Scheme (IC-CLASS) based on Farquhar's photosynthetic model and the two-leaf approach was compared against that of Moderate Resolution Imaging Spectroradiometer (MODIS) GPP algorithm using the light use efficiency (LUE) approach, validated with eddy covariance (EC) measured GPP over a variety of terrestrial ecosystems in Canada. There were systematic differences between the IC-CLASS simulated GPP and the MODIS GPP product in spatial distribution patterns. The differences were due to inherent shortcomings of the LUE modeling approach where a constant maximum LUE value is specified for each biome type, ignoring the variation of shaded leaf contribution to total GPP. The IC-CLASS model separates the sunlit and shaded leaves and the bias in simulating GPP was minimized. The IC-CLASS performed better than the MODIS GPP algorithm compared with monthly and annual GPP derived from EC flux data at 13 Canadian Carbon Program sites. The differences between the IC-CLASS and the MODIS GPP estimates were larger in more clumped canopies (i.e. forests), because of the increase in the shaded leaf fraction. Different LUEs in sunlit and shaded portions of the canopy should be considered for effective and reliable estimation of GPP at regional scale.
资助项目	National Key Research and Development Program from Ministry of Science and Technology, China[2017YFC0503803] ; National Natural Science Foundation of China[41571192] ; Research and Development Project of Scientific Instruments and Equipment of Chinese Academy of Sciences[YJKYYQ20190042] ; Discovery and Strategic Grant of Natural Sciences and Engineering Research Council (NSERC) of Canada ; Canadian Carbon Program (CCP)
WOS关键词	GROSS PRIMARY PRODUCTIVITY ; LAND-SURFACE SCHEME ; CARBON-DIOXIDE EXCHANGE ; NET PRIMARY PRODUCTION ; BLACK SPRUCE FOREST ; AREA INDEX ; INTERANNUAL VARIABILITY ; PHOTOSYNTHETIC CAPACITY ; STOMATAL CONDUCTANCE ; CLIMATE VARIABILITY
WOS研究方向	Environmental Sciences & Ecology ; Geology
语种	英语
出版者	AMER GEOPHYSICAL UNION
WOS记录号	WOS:000586701500015
资助机构	National Key Research and Development Program from Ministry of Science and Technology, China ; National Natural Science Foundation of China ; Research and Development Project of Scientific Instruments and Equipment of Chinese Academy of Sciences ; Discovery and Strategic Grant of Natural Sciences and Engineering Research Council (NSERC) of Canada ; Canadian Carbon Program (CCP)
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/156551]
专题	中国科学院地理科学与资源研究所
通讯作者	Chen, Bin; Chen, Jing M.
作者单位	1.Univ Toronto, Dept Geog, Toronto, ON, Canada 2.Univ Toronto, Program Planning, Toronto, ON, Canada 3.Fujian Normal Univ, Sch Geog Sci, Fuzhou, Peoples R China 4.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China 5.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, LREIS, Beijing, Peoples R China 6.China Univ Geosci, Coll Geog & Informat Engn, Wuhan, Peoples R China 7.Chinese Acad Sci, Natl Ecosyst Sci Data Ctr, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing, Peoples R China 8.McMaster Univ, Sch Geog & Earth Sci, Hamilton, ON, Canada 9.McMaster Univ, McMaster Ctr Climate Change, Hamilton, ON, Canada
推荐引用方式 GB/T 7714	Chen, Bin,Arain, M. Altaf,Chen, Jing M.,et al. Importance of Shaded Leaf Contribution to the Total GPP of Canadian Terrestrial Ecosystems: Evaluation of MODIS GPP[J]. JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES,2020,125(10):22.
APA	Chen, Bin.,Arain, M. Altaf.,Chen, Jing M..,Wang, Shaoqiang.,Fang, Hongliang.,...&Liu, Jane.(2020).Importance of Shaded Leaf Contribution to the Total GPP of Canadian Terrestrial Ecosystems: Evaluation of MODIS GPP.JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES,125(10),22.
MLA	Chen, Bin,et al."Importance of Shaded Leaf Contribution to the Total GPP of Canadian Terrestrial Ecosystems: Evaluation of MODIS GPP".JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES 125.10(2020):22.