NWIPB OpenIR
Improving the light use efficiency model for simulating terrestrial vegetation gross primary production by the inclusion of diffuse radiation across ecosystems in China
Wang, Shaoqiang1; Huang, Kun1,2; Yan, Hao3; Yan, Huimin1; Zhou, Lei1; Wang, Huimin1; Zhang, Junhui4; Yan, Junhua5; Zhao, Liang6; Wang, Yanfen2; Shi, Peili1; Zhao, Fenghua1; Sun, Leigang7
2015-09-01
Source PublicationECOLOGICAL COMPLEXITY
Volume23Pages:1-13
SubtypeArticle
AbstractQualification of gross primary production (GPP) of terrestrial ecosystem over large areas is important in understanding the response of terrestrial ecosystem to global climate change. While light use efficiency (LUE) models were widely used in regional carbon budget estimates, few studies consider the effect of diffuse radiation on LUE caused by clouds using a big leaf model. Here we developed a cloudiness index light use efficiency (CI-LUE) model based on the MOD17 model algorithm to estimate the terrestrial ecosystem GPP, in which the base light use efficiency encompassed the cloudiness index, maximum LUE and clear sky LUE. GPP measured at seven sites from 2003 to 2007 in China were used to calibrate and validate the CI-LUE model. The results showed that at forest sites and cropland site the CI-LUE model outperformed the Vegetation Photosynthesis Model (VPM), Terrestrial Ecosystem Carbon flux model (TEC), MOD17 model algorithm driven by in situ meteorological measurements and MODE GPP products, especially the R-2 of simulated GPP against flux measurements at Dinghushan forest site increased from 0.17 (MODIS GPP products) to 0.61 (CI-LUE). Instead, VPM model had the best agreement with GPP measurements followed by CI-LUE model and lastly TEC model at two grassland sites. Meanwhile, GPP calculated by CI-LUE model has less underestimation under cloudy skies in comparison with MOD17 model. This study demonstrated the potential of the CI-LUE model in improving GPP simulations resulting from the inclusion of diffuse radiation in regulating the base light use efficiency and maximum light use efficiency. (C) 2015 Elsevier B.V. All rights reserved.; Qualification of gross primary production (GPP) of terrestrial ecosystem over large areas is important in understanding the response of terrestrial ecosystem to global climate change. While light use efficiency (LUE) models were widely used in regional carbon budget estimates, few studies consider the effect of diffuse radiation on LUE caused by clouds using a big leaf model. Here we developed a cloudiness index light use efficiency (CI-LUE) model based on the MOD17 model algorithm to estimate the terrestrial ecosystem GPP, in which the base light use efficiency encompassed the cloudiness index, maximum LUE and clear sky LUE. GPP measured at seven sites from 2003 to 2007 in China were used to calibrate and validate the CI-LUE model. The results showed that at forest sites and cropland site the CI-LUE model outperformed the Vegetation Photosynthesis Model (VPM), Terrestrial Ecosystem Carbon flux model (TEC), MOD17 model algorithm driven by in situ meteorological measurements and MODE GPP products, especially the R-2 of simulated GPP against flux measurements at Dinghushan forest site increased from 0.17 (MODIS GPP products) to 0.61 (CI-LUE). Instead, VPM model had the best agreement with GPP measurements followed by CI-LUE model and lastly TEC model at two grassland sites. Meanwhile, GPP calculated by CI-LUE model has less underestimation under cloudy skies in comparison with MOD17 model. This study demonstrated the potential of the CI-LUE model in improving GPP simulations resulting from the inclusion of diffuse radiation in regulating the base light use efficiency and maximum light use efficiency. (C) 2015 Elsevier B.V. All rights reserved.
KeywordCloudiness Index Cloudiness Index Light Use Efficiency (Cilue) Model Eddy Covariance Flux Mod17 Model
WOS HeadingsScience & Technology ; Life Sciences & Biomedicine
WOS KeywordLEYMUS-CHINENSIS STEPPE ; NET PRIMARY PRODUCTION ; CARBON-DIOXIDE FLUXES ; SUB-ALPINE GRASSLAND ; FOREST ECOSYSTEMS ; TIBETAN PLATEAU ; INNER-MONGOLIA ; CLIMATE DATA ; WATER-VAPOR ; ATMOSPHERIC PARTICLES
Indexed BySCI
Language英语
WOS Research AreaEnvironmental Sciences & Ecology
WOS SubjectEcology
WOS IDWOS:000361582100002
Citation statistics
Document Type期刊论文
Identifierhttp://210.75.249.4/handle/363003/5514
Collection中国科学院西北高原生物研究所
Affiliation1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.China Meteorol Adm, Natl Meteorol Ctr, Beijing 100081, Peoples R China
4.Chinese Acad Sci, Inst Appl Ecol, Shenyang 110016, Peoples R China
5.Chinese Acad Sci, South China Bot Garden, Guangzhou 570650, Guangdong, Peoples R China
6.Chinese Acad Sci, Northwest Plateau Inst Biol, Xining 810001, Peoples R China
7.Hebei Acad Sci, Inst Geog Sci, Shijiazhuang 050000, Peoples R China
Recommended Citation
GB/T 7714
Wang, Shaoqiang,Huang, Kun,Yan, Hao,et al. Improving the light use efficiency model for simulating terrestrial vegetation gross primary production by the inclusion of diffuse radiation across ecosystems in China[J]. ECOLOGICAL COMPLEXITY,2015,23:1-13.
APA Wang, Shaoqiang.,Huang, Kun.,Yan, Hao.,Yan, Huimin.,Zhou, Lei.,...&Sun, Leigang.(2015).Improving the light use efficiency model for simulating terrestrial vegetation gross primary production by the inclusion of diffuse radiation across ecosystems in China.ECOLOGICAL COMPLEXITY,23,1-13.
MLA Wang, Shaoqiang,et al."Improving the light use efficiency model for simulating terrestrial vegetation gross primary production by the inclusion of diffuse radiation across ecosystems in China".ECOLOGICAL COMPLEXITY 23(2015):1-13.
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