A new estimation of China's net ecosystem productivity based on eddy covariance measurements and a model tree ensemble approach
文献类型：期刊论文
| 作者 | Yao, Yitong1; Li, Zhijian2; Wang, Tao3,4; Chen, Anping5; Wang, Xuhui1,6; Du, Mingyuan7; Jia, Gensuo8; Li, Yingnian9; Li, Hongqin9; Luo, Weijun10,11 |
| 刊名 | AGRICULTURAL AND FOREST METEOROLOGY
 |
| 出版日期 | 2018-05-01 |
| 卷号 | 253页码:84-93 |
| 关键词 | Net ecosystem productivity (NEP) Model tree ensemble China Eddy covariance Carbon sink |
| ISSN号 | 0168-1923 |
| DOI | 10.1016/j.agrformet.2018.02.007 |
| 通讯作者 | Wang, Tao(twang@itpcas.ac.cn) |
| 英文摘要 | Accurate assessment of the strength of China's terrestrial ecosystem carbon sink is key to understanding its regional carbon budget. However, large uncertainties in current carbon sink estimations still exist, which hinder the prediction of future climate change trajectories. In this study, we generated a high-resolution (1 km x 1 km) dataset of China's net ecosystem productivity (NEP) in the last decade via a model tree ensemble approach combined with data from 46 flux sites in China and neighboring regions. The upscaling also included detailed information on nitrogen (N) deposition and forest age that have often been neglected in previous studies. The performance of MTE algorithm in simulating NEP at the site level is relatively high for both training (R-2 = 0.81, RMSE = 0.73 gC m(-2) day(-1)) and validation datasets (R-2 = 0.76, RMSE = 0.81 gC m(-2)day(-1)). Our data-driven estimation showed that roughly 70% of the area is a carbon sink, and the largest carbon sinks are found in the southeast and southwest monsoon regions. The total annual NEP in China in the last decade was 1.18 +/- 0.05 Pg C yr(-1), which is similar to the results found by another foundational global-scale study. Yet, the two studies significantly differ in the spatial distribution of carbon sink density. The seasonality of China's NEP is characterized by region-specific kurtosis and skewness in most areas. Furthermore, ecosystem carbon use efficiency (CUE), defined as the annual NEP/GPP ratio, also showed high spatial variation. For example, the Xiaoxing'anling and Changbai Mountains in northeastern China, the eastern edge of the Tibetan Plateau, and bordering areas of the southeast and southwest monsoon regions have a larger CUE than the rest of China. On average, China's terrestrial ecosystem CUE is approximately 0.17. Our data-driven NEP and CUE estimates provide a new tool for assessing China's carbon dioxide flux. Our study also highlights the necessity to incorporate more environmental variables related to vegetation growth and more data derived from flux sites into NEP upscaling to reduce uncertainties in carbon budget estimations. |
| WOS关键词 | TERRESTRIAL CARBON UPTAKE ; LAST 30 YEARS ; NITROGEN DEPOSITION ; SPATIAL-DISTRIBUTION ; FOREST ECOSYSTEMS ; ATMOSPHERIC CO2 ; DIOXIDE UPTAKE ; CLIMATE-CHANGE ; NORTH-AMERICA ; CYCLE |
| 资助项目 | National Basic Research Program of China[2013CB956303] ; National Natural Science Foundation of China[41530528] ; National Youth Top-notch Talent Support Program in China |
| WOS研究方向 | Agriculture ; Forestry ; Meteorology & Atmospheric Sciences |
| 语种 | 英语 |
| WOS记录号 | WOS:000430783800008 |
| 出版者 | ELSEVIER SCIENCE BV |
| 资助机构 | National Basic Research Program of China ; National Natural Science Foundation of China ; National Youth Top-notch Talent Support Program in China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/55001]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Wang, Tao |
| 作者单位 | 1.Peking Univ, Coll Urban & Environm Sci, Sinofrench Inst Earth Syst Sci, Beijing 100871, Peoples R China 2.Zhan Jiang Urban Planning Bur, Zhanjiang 524022, Peoples R China 3.Chinese Acad Sci, Inst Tibetan Plateau Res, Key Lab Alpine Ecol & Biodivers, Beijing 100085, Peoples R China 4.Chinese Acad Sci, Ctr Excellence Tibetan Earth Sci, Beijing 100085, Peoples R China 5.Woods Hole Res Ctr, Falmouth, MA 02540 USA 6.Inst Pierre Simon Laplace, Lab Meteorol Dynam, F-95005 Paris, France 7.Natl Agr & Food Res Org, Inst Agroenvironm Sci, Tsukuba, Ibaraki 3058604, Japan 8.Chinese Acad Sci, Inst Atmospher Phys, CAS Key Lab Reg Climate Environm Temperate East A, Beijing 100029, Peoples R China 9.Chinese Acad Sci, Northwest Inst Plateau Biol, Key Lab Adaptat & Evolut Plateau Biota, Xining 810008, Qinghai, Peoples R China 10.Chinese Acad Sci, Inst Geochem, State Key Lab Environm Geochem, Guiyang 550081, Peoples R China |
| 推荐引用方式 GB/T 7714 | Yao, Yitong,Li, Zhijian,Wang, Tao,et al. A new estimation of China's net ecosystem productivity based on eddy covariance measurements and a model tree ensemble approach[J]. AGRICULTURAL AND FOREST METEOROLOGY,2018,253:84-93. |
| APA | Yao, Yitong.,Li, Zhijian.,Wang, Tao.,Chen, Anping.,Wang, Xuhui.,...&Piao, Shilong.(2018).A new estimation of China's net ecosystem productivity based on eddy covariance measurements and a model tree ensemble approach.AGRICULTURAL AND FOREST METEOROLOGY,253,84-93. |
| MLA | Yao, Yitong,et al."A new estimation of China's net ecosystem productivity based on eddy covariance measurements and a model tree ensemble approach".AGRICULTURAL AND FOREST METEOROLOGY 253(2018):84-93. |
入库方式： OAI收割
来源：地理科学与资源研究所
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