Chinese FLUX Observation and Research Network (ChinaFLUX) Thematic Observation Datasets Zone II Versions ZH3 Vol 6 (1) 2021
A dataset of carbon, water and energy fluxes observed in Xishuangbanna tropical seasonal rain forest from 2003 to 2010
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: 2020 - 05 - 10
: 2021 - 03 - 17
: 2020 - 07 - 01
: 2021 - 03 - 31
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Abstract & Keywords
Abstract: Carbon and water fluxes, the carbon-water exchange capacity between ecosystem and atmosphere, are an important parameter to quantify ecosystem function and its global Climate Change. Tropical seasonal rainforest is an important ecosystem type in China, which play an important role in regional climate regulation and carbon sequestration. Xishuangbanna Ecological Station, as the basic observation station of China ecosystem observation Network (CERN) and China Flux Research Network (ChinaFLUX), has carried out carbon and water fluxes observation work based on Eddy Covariance Technique, for 17 years. Based on ChinaFLUX data processing system, this paper reports the processing process, data structure and application suggestions of carbon and water fluxes dataset of tropical seasonal rainforest in Xishuangbanna from 2003 to 2010. We accumulated in the dataset four time-scale data, namely half-hour, daily, monthly and yearly scales through standard data processing, such as coordinate axis rotation, abnormal value elimination, data interpolation and so on. It covers net ecosystem carbon exchange, ecosystem respiration, gross ecosystem carbon exchange, evaporation, sensible heat and other related meteorological factors, such as temperature, radiation and so on. This dataset can not only serve the regional ecosystem function assessment, model parameter optimization, but also promote the local economic development, ecological security, government decision-making etc., with fruitful results in high-quality papers, monographs and national and provincial awards. it is a powerful support for major national development strategies and local applications.
Keywords: Eddy Covariance Technique; carbon cycle; water circulation; Interconnection observation; climate change
Dataset Profile
TitleA dataset of carbon, water and energy fluxes observed in Xishuangbanna tropical seasonal rain forest from 2003 to 2010
CorrespondenceZHANG Yiping (yipingzh@, SONG Qinghai (
Data producerQI Dehua, FEI Xuehai, SHA Liqing, LIU Yuntong, ZHOU Wenjun, ZHOU Liguo, DENG Xiaobao, LUO Yan, DENG Yun
Time range2003–2010
Study siteXishuangbanna Ecological Station, Mengla County, Xishuangbanna Prefecture, Yunnan Province.
Ecosystem typeTropical seasonal rain forest ecosystem
Data amount36 MB
Data format*.xlsx
Data service system<>
Source of fundingNational basic research program of China(2010CB833501), National Natural Science Foundation of China(41671209, 40571163, 31061140359, 31770528, 41961144017, U1602234, U1202234, 41271056, 31290221, 41071071, 41975147, 42075119), National key Research and development program(2016YFC0502105), National Foundation youth Science Foundation project(40801035), National Key Basic Research and Development Program(2010CB833501), Major Innovation Project of the Chinese Academy of Sciences(KZCX1-SW-01-01A), Knowledge Innovation Project of The Chinese Academy of Sciences(KJCX2-YW-432-1, KZCX2-YW-Q1-05-04), Strategic Priority Research Program of Chinese Academy of Sciences (XDA19020302).
Dataset compositionThe dataset is composed of routine meteorological data (air temperature, air relative humidity, vapor pressure, wind speed, wind direction, soil temperature, soil moisture, solar radiation, photosynthetic active radiation, and precipitation, etc.) and carbon and water fluxes (net ecosystem carbon exchange, ecosystem respiration, gross ecosystem carbon exchange, latent heat flux, sensible heat flux), forming data products of half-hour, daily, monthly, and yearly scales.
Article and author information
Qi Dehua
Zhang Yiping
Song Qinghai
主要承担工作: 碳水通量数据最终质量控制。
Fei Xuehai
Sha Liqing
Liu Yuntong
Zhou Wenjun
Zhou Liguo
Deng Xiaobao
Luo Yan
Deng Yun
Publication records
Released: July 1, 2020 ( VersionsZH2
Published: March 31, 2021 ( VersionsZH3