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| Estimation of gross primary production over the terrestrial ecosystems in China | |
Li, Xianglan1,2; Liang, Shunlin1,2,3; Yu, Guirui4; Yuan, Wenping1,2; Cheng, Xiao1,2; Xia, Jiangzhou1,2; Zhao, Tianbao5; Feng, Jinming2,5; Ma, Zhuguo5; Ma, Mingguo6; Liu, Shaomin7; Chen, Jiquan8,9; Shao, Changliang10; Li, Shenggong11; Zhang, Xudong12; Zhang, Zhiqiang13; Chen, Shiping10 ; Ohta, Takeshi14; Varlagin, Andrej15; Miyata, Akira16; Takagi, Kentaro17; Saiqusa, Nobuko18; Kato, Tomomichi19
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| 2013 | |
| 发表期刊 | ECOLOGICAL MODELLING
 |
| ISSN | 0304-3800 |
| 卷号 | 261页码:80-92 |
| 摘要 | Gross primary production (GPP) is of significant importance for the terrestrial carbon budget and climate change, but large uncertainties in the regional estimation of GPP still remain over the terrestrial ecosystems in China. Eddy covariance (EC) flux towers measure continuous ecosystem-level exchange of carbon dioxide (CO2) and provide a promising way to estimate GPP. We used the measurements from 32 EC sites to examine the performance of a light use efficiency model (i.e., EC-LUE) at various ecosystem types, including 23 sites in China and 9 sites in adjacent areas with the similar climate environments. No significant systematic error was found in the EC-LUE model predictions, which explained 79% and 62% of the GPP variation at the validation sites with C-3 and C-4 vegetation, respectively. Regional patterns of GPP at a spatial resolution of 10 km x 10 km from 2000 to 2009 were determined using the MERRA (Modern Era Retrospective-analysis for Research and Applications) reanalysis dataset and MODIS (MOD-erate resolution Imaging Spectroradiometer). China's terrestrial GPP decreased from southeast toward the northwest, with the highest values occurring over tropical forests areas, and the lowest values in dry regions. The annual GPP of land in China varied between 5.63 Pg C and 6.39 Pg C, with a mean value of 6.04 Pg C, which accounted for 4.90-6.29% of the world's total terrestrial GPP. The GPP densities of most vegetation types in China such as evergreen needleleaf forests, deciduous needleleaf forests, mixed forests, woody savannas, and permanent wetlands were much higher than the respective global GPP densities. However, a high proportion of sparsely vegetated area in China resulted in the overall low GPP. The inter-annual variability in GPP was significantly influenced by air temperature (R-2 = 0.66, P < 0.05), precipitation (R-2 = 0.71, P < 0.05), and normalized difference vegetation index (NDVI) (R-2 = 0.83, P < 0.05), respectively. Published by Elsevier B.V. |
| 关键词 | EC-LUE model Gross primary production Eddy covariance MODIS MERRA |
| 学科领域 | Ecology |
| DOI | 10.1016/j.ecolmodel.2013.03.024 |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS关键词 | NET PRIMARY PRODUCTIVITY ; LIGHT USE EFFICIENCY ; INTERANNUAL VARIABILITY ; CARBON-DIOXIDE ; MODEL ; FOREST ; SATELLITE ; VEGETATION ; GPP |
| WOS研究方向 | Science Citation Index Expanded (SCI-EXPANDED) |
| WOS记录号 | WOS:000320494800008 |
| 出版者 | ELSEVIER |
| 文献子类 | Article |
| 出版地 | AMSTERDAM |
| EISSN | 1872-7026 |
| 资助机构 | National High Technology Research and Development Program of China (863 Program)(National High Technology Research and Development Program of China) ; National Key Basic Research and Development Plan of China(National Basic Research Program of China) ; Fundamental Research Funds for the Central Universities(Fundamental Research Funds for the Central Universities) ; Office of Integrative Activities ; Office Of The Director(National Science Foundation (NSF)NSF - Office of the Director (OD)) |
| 作者邮箱 | Chen, Shiping/AAH-9751-2019 ; liang, shunlin/C-2809-2015 ; Takagi, Kentaro/C-2222-2012 ; shao, changliang/ACG-3396-2022 ; Li, Sheng-Gong/H-5101-2012 ; Mingguo, Ma/A-8087-2013 ; 于, 贵瑞/C-1768-2014 ; Varlagin, Andrej/A-6568-2012 ; Kato, Tomomichi/F-7766-2010 ; Kato, Tomomichi/X-7390-2019 ; xin, chen/AAF-9544-2020 ; Chen, Jiquan/D-1955-2009 |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://ir.ibcas.ac.cn/handle/2S10CLM1/27905 |
| 专题 | 植被与环境变化国家重点实验室 |
| 作者单位 | 1.Beijing Normal Univ, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China 2.Chinese Acad Sci, State Key Lab Remote Sensing Sci, Inst Remote Sensing & Digital Earth, Beijing 100875, Peoples R China 3.Beijing Normal Univ, Coll Global Change & Earth Syst Sci, Beijing 100875, Peoples R China 4.Univ Maryland, Dept Geog, College Pk, MD 20742 USA 5.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Synth Res Ctr, Key Lab Ecosyst Network Observat & Modeling,Chine, Beijing 100101, Peoples R China 6.Chinese Acad Sci, Inst Atmospher Phys, Key Lab Reg Climate Environm Res Temperate East A, Beijing 100029, Peoples R China 7.Chinese Acad Sci, Cold & Arid Regions Environm & Engn Res Inst, Lanzhou 730000, Gansu, Peoples R China 8.Beijing Normal Univ, Sch Geog, Sate Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China 9.Nanjing Univ Informat Sci & Technol, Int Ctr Ecol, Meteorol & Environm IceMe, Nanjing 210044, Jiangsu, Peoples R China 10.Univ Toledo, Dept Environm Sci, Toledo, OH 43606 USA 11.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing 100093, Peoples R China 12.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 13.Chinese Acad Forestry, Inst Forestry Res, Beijing 100091, Peoples R China 14.Beijing Forestry Univ, Coll Soil Water Conservat, Beijing 100083, Peoples R China 15.Nagoya Univ, Grad Sch Bioagricultural Sci, Chikusa Ku, Nagoya, Aichi 4648601, Japan 16.Russian Acad Sci, AN Severtsov Inst Ecol & Evolut, Moscow 119071, Russia 17.Natl Inst Agroenvironm Sci, Tsukuba, Ibaraki 3058604, Japan 18.Hokkaido Univ, Ctr Northern Biosphere, Field Sci Ctr No Biosphere, Horonobe, Teshio 0982943, Japan 19.Natl Inst Environm Studies, Ctr Global Environm Res, Tsukuba, Ibaraki 3058506, Japan 20.Natl Inst Environm Studies, Tsukuba, Ibaraki 3058569, Japan |
| 推荐引用方式 GB/T 7714 | Li, Xianglan,Liang, Shunlin,Yu, Guirui,et al. Estimation of gross primary production over the terrestrial ecosystems in China[J]. ECOLOGICAL MODELLING,2013,261:80-92. |
| APA | Li, Xianglan.,Liang, Shunlin.,Yu, Guirui.,Yuan, Wenping.,Cheng, Xiao.,...&Kato, Tomomichi.(2013).Estimation of gross primary production over the terrestrial ecosystems in China.ECOLOGICAL MODELLING,261,80-92. |
| MLA | Li, Xianglan,et al."Estimation of gross primary production over the terrestrial ecosystems in China".ECOLOGICAL MODELLING 261(2013):80-92. |
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