Chinese FLUX Observation and Research Network (ChinaFLUX) Thematic Observation Datasets Zone II Versions ZH3 Vol 6 (1) 2021
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An observation dataset of carbon and water fluxes in Xishuangbanna rubber plantations from 2010 to 2014
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Abstract & Keywords
Abstract: The concern about climate change brings more attention to the carbon sink capacity and carbon sequestration potential of planted forests in recent years. Due to the needs of social and economic development, the planting area of rubber forests in China has been expanding, which have become the most important artificial forest ecosystem in tropical regions of China. The change in land use inevitably causes major changes in regional hydrology, climate and carbon-water cycle. The eddy covariance technique is the most advanced, extensive and accurate method for studying matter and energy fluxex in the world. However, presently, the eddy covariance technique is rarely applied to the research into rubber forests. Moreover, the carbon and water fluxes data in this area are particularly important for coping with current global climate change and international climate negotiations. As one of the basic observations and research sites of China Flux Research Network (ChinaFLUX), the Xishuangbanna Rubber Forest Flux Observation System was built in 2010, based on ChinaFLUX standardized data processing procedures. The Observation System has now accumulated 11-year data of carbon-water fluxes, energy fluxes and meteorological observation. In this dataset, we compiled the rubber forest flux and routine meteorological data in Xishuangbanna from June 2010 to December 2014, including net ecosystem productivity, ecosystem respiration, gross ecosystem primary productivity, latent heat flux, sensible heat flux, evapotranspiration, air temperature, relative air humidity, water vapor pressure, wind speed, wind direction, atmospheric pressure, global solar radiation, net radiation, photosynthetically active radiation, soil temperature, soil moisture, precipitation and other indicators, forming data products of half-hour, daily, monthly, and yearly scales. This dataset can provide data support for evaluating the ecological benefits and ecological functions of the artificial rubber forest ecosystem, nationwide decision making of major strategies about emissions reduction, and land use change management.
Keywords: eddy covariance technique; fluxes; carbon-water cycle; meteorological elements; rubber plantations
Dataset Profile
TitleAn observation dataset of carbon and water fluxes in Xishuangbanna rubber plantations from 2010 to 2014
CorrespondenceSONG Qinghai (sqh@xtbg.ac.cn)
Data producerYU Hui, QI Dehua, ZHANG Yiping, SHA Liqing, LIU Yuntong, ZHOU Wenjun, DENG Yun
Time rangeJune 2010 to December 2014
Geographical scope21°54′ N,101°16′ E,Xishuangbanna Tropical Botanical Garden, Mengla County, Xishuangbanna Prefecture, Yunnan Province.
Ecosystem typeArtificial rubber forest ecosystem
Data volume17.46 MB
Data format*.xlsx
Data service system<http://www.dx.doi.org/10.11922/sciencedb.j00001.00123>
Sources of fundingThe National Natural Science Foundation of China (41671209, 41961144017, U1602234), National Key R&D Program of China (2016YFC0502105), The 13th Five-Year Plan of the Chinese Academy of Sciences (2017XTBG-T01, 2017XTBG-F01), Strategic Priority Research Program of the Chinese Academy of Sciences (XDA19020302).
Dataset compositionThe dataset is composed of routine meteorological data (air temperature, air relative humidity, water vapor pressure, wind speed, wind direction, atmospheric pressure, global solar radiation, net radiation, photosynthetic active radiation, soil temperature, soil moisture, and precipitation) and fluxes (net ecosystem productivity, ecosystem respiration, gross ecosystem primary productivity, latent heat flux, sensible heat flux, and evapotranspiration), forming data products of half-hour, daily, monthly, and yearly scales.
Article and author information
Yu Hui
主要承担工作:数据采集、初级质控及上报。
Qi Dehua
主要承担工作:数据处理、质量控制和数据管理。
Zhang Yiping
主要承担工作:项目组织、涡度相关系统的总体运行与科学发展。
Sha Liqing
主要承担工作:碳水通量数据综合处理方法和技术途径。
Liu Yuntong
主要承担工作:数据质量控制。
Zhou Wenjun
主要承担工作:数据集格式规范化、数据管理。
Deng Yun
主要承担工作:数据处理和质量控制。
Song Qinghai
主要承担工作:数据最终质量控制和总体部署。
sqh@xtbg.ac.cn
Publication records
Released: Jan. 14, 2021 ( VersionsZH2
Published: March 31, 2021 ( VersionsZH3
References
中国科学数据
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