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Dataset of CarboEastAsia and uncertainties in the CO2 budget evaluation caused by different data processing |
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| Authors: | Nobuko Saigusa Sheng-Gong Li Hyojung Kwon Kentaro Takagi Lei-Ming Zhang Reiko Ide Masahito Ueyama Jun Asanuma Young-Jean Choi Jung Hwa Chun Shi-Jie Han Takashi Hirano Ryuichi Hirata Minseok Kang Tomomichi Kato Joon Kim Ying-Nian Li Takahisa Maeda Akira Miyata Yasuko Mizoguchi Shohei Murayama Yuichiro Nakai Takeshi Ohta Taku M. Saitoh Hui-Ming Wang Gui-Rui Yu Yi-Ping Zhang Feng-Hua Zhao |
| Affiliation: | 1. Center for Global Environmental Research, National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba, 305-8506, Japan 2. Key Lab of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China 3. National Center for AgroMeteorology, Seoul National University, Seoul, 151-921, Korea 4. Teshio Experimental Forest, Field Science Center for Northern Biosphere, Hokkaido University, Horonobe, 098-2943, Japan 5. Graduate School of Life and Environmental Sciences, Osaka Prefecture University, 1-1 Gakuen-cho, Nakaku, Sakai, Osaka, 599-8531, Japan 6. Terrestrial Environment Research Center, University of Tsukuba, Tsukuba, 305-8577, Japan 7. National Institute of Meteorological Research, Korea Meteorological Administration, Seoul, 156-720, Korea 8. Division of Forest Conservation, Korea Forest Research Institute, Seoul, 130-712, Korea 9. Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, 110016, China 10. Graduate School of Agriculture, Hokkaido University, Sapporo, 060-8589, Japan 11. Global Environment Laboratory and Department of Atmospheric Sciences, Yonsei University, Seoul, 120-749, Korea 12. Laboratoire des Sciences du Climat et de l’Environnement, CEA, 91191, Gif sur Yvette, France 13. Department of Landscape Architecture and Rural Systems Engineering, Seoul National University, Seoul, 151-921, Korea 14. Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining, 810001, China 15. National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, 305-8569, Japan 16. National Institute for Agro-Environmental Sciences, Tsukuba, 305-8604, Japan 17. Hokkaido Research Center, Forestry and Forest Products Research Institute, Sapporo, 062-8516, Japan 18. Forestry and Forest Products Research Institute, Tsukuba, 305-8687, Japan 19. Graduate School of Bioagricultural Sciences, Nagoya University, Nagoya, 464-8601, Japan 20. River Basin Research Center, Gifu University, 1-1 Yanagido, Gifu, 501-1193, Japan 21. Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Yunnan, 666303, China |
| Abstract: | The datasets of net ecosystem CO2 exchange (NEE) were acquired from 21 forests, 3 grasslands, and 3 croplands in the eastern part of Asia based on the eddy covariance measurements of the international joint program, CarboEastAsia. The program was conducted by three networks in Asia, ChinaFLUX, JapanFlux, and KoFlux, to quantify, synthesize, and understand the carbon budget of the eastern part of Asia. An intercomparison was conducted for NEE estimated by three gap-filling procedures adopted by ChinaFLUX, JapanFlux, and KoFlux to test the range of uncertainty in the estimation of NEE. The overall comparison indicated good agreement among the procedures in the seasonal patterns of NEE, although a bias was observed in dormant seasons depending on the different criteria of data screening. Based on the gap-filled datasets, the magnitude and seasonality of the carbon budget were compared among various biome types, phenology, and stress conditions throughout Asia. The annual values of gross primary production and ecosystem respiration were almost proportional to the annual air temperature. Forest management, including clear-cutting, plantation, and artificial drainage, was significant and obviously affected the annual carbon uptake within the forests. Agricultural management resulted in notable seasonal patterns in the crop sites. The dataset obtained from a variety of biome types would be an essential source of knowledge for ecosystem science as well as a valuable validation dataset for modeling and remote sensing to upscale the carbon budget estimations in Asia. |
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