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An observation dataset of carbon and water fluxes in Xishuangbanna Tropical Seasonal Rain Forest from 2003 to 2010
Dataset URL >>
: 2020 - 05 - 10
: 2020 - 07 - 01
: 2020 - 07 - 01
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Abstract & Keywords
Abstract: Using eddy covariance technology, the global regional climate change trend is predicted and the contribution of ecosystem to climate change is evaluated. We monitored carbon, water and energy exchange between the ecosystem and the atmosphere, and then discovered the rules of ecosystem change. Xishuangbanna Ecological Station, as a basic observation station of China Ecosystem Observation Network (CERN) and ChinaFLUX Research Network (ChinaFLUX), has continuously accumulated 17 years of standardized dataset of carbon and water fluxes and key meteorological elements in tropical seasonal rain forest ecosystem based on ChinaFlux data processing system. This dataset not only serves all aspects of teaching, scientific research, management and life, but also serves local economic development, ecological security, government decision-making, etc., and has achieved fruitful results in high-quality papers, monographs and national, provincial and ministerial awards. This dataset is a strong support for facing major national development strategies and serving local applications.
Keywords: eddy covariance technique;  flux data; carbon-water cycle; meteorological elements;  tropical seasonal rain forest;  Xishuangbanna
Dataset Profile
TitleObservation Dataset of carbon and water fluxes in Xishuangbanna Tropical Seasonal Rain Forest from 2003 to 2010
CorrespondenceZhang Yiping (yipingzh@ xtbg.ac.cn), Song Qinghai(sqh@xtbg.ac.cn)
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<http://www.cnern.org.cn/data/initDRsearch?cid=SYCA02>
< http://www.sciencedb.cn/dataSet/handle/1014> (not open yet)
Source of fundingNational basic research program of China
Dataset compositionThe dataset includes 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 (gross ecosystem primary productivity, ecosystem respiration, net ecosystem productivity, latent heat flux, sensible heat flux), forming data products of half hour, day, month, and year scales.
Article and author information
Qi Dehua
主要承担工作:数据采集和处理。
Zhang Yiping
主要承担工作:通量的总体运行与科学发展。
yipingzh@xtbg.ac.cn
Song Qinghai
主要承担工作: 碳水通量数据最终质量控制。
sqh@xtbg.ac.cn
Fei Xuehai
主要承担工作:数据处理和质量控制。
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:数据质量分析。
Zhou Wenjun
主要承担工作:数据集格式规范化、数据管理和服务。
Zhou Liguo
主要承担数据观测、整理、初级质控及上报。
Deng Xiaobao
主要承担工作:数据处理和质量控制。
Luo Yan
主要承担工作:数据集格式规范化、数据管理和服务。
Deng Yun
主要承担工作:数据处理和质量控制。
Publication records
Released: July 1, 2020 ( VersionsZH2
References
中国科学数据
csdata