SAIGUSA Nobuko, LI Sheng-Gong, KWON Hyojung, TAKAGI Kentaro, ZHANG Lei-Ming, IDE Reiko, UEYAMA Masahito, ASANUMA Jun, CHOI Young-Jean, CHUN Jung Hwa, HAN Shi-Jie, HIRANO Takash, HIRATA Ryuichi, KANG Minseok, KATO Tomomichi KIM Joon, LI Ying-Nian, MAEDA Takahisa, MIYATA Akira, MIZOGUCHI Yasuko, MURAYAMA Shohei, NAKAI Yuichiro, OHTA Takeshi, SAITO Taku M., WANG Hui-Ming, YU Gui-Rui, ZHANG Yi-Ping, ZHAO Feng-Hua
Dataset of CarboEastAsia and uncertainties in the CO2 budget evaluation caused by different data processing
Journal of Forest Research
CarboEastAsia, Carbon budget, Intercomparison, Net ecosystem CO2 exchange
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.