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 at Yuanjiang Dry-hot Valley Ecological Station (2013 – 2015)
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: 2020 - 07 - 07
: 2021 - 03 - 23
: 2020 - 11 - 25
: 2021 - 03 - 31
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Abstract & Keywords
Abstract: This paper researches into the savanna ecosystem in Yuanjiang dry-hot valley. We adopted the eddy correlation (EC) system to carry out long-term positioning observation of carbon and water fluxes in savanna ecosystem. Yuanjiang Station is the first dry-hot valley ecosystem research station in China. Based on ChinaFLUX data processing system, we compiled in this dataset the savanna ecosystem flux and routine meteorological data in Yuanjiang from May 2013 to December 2015, including net ecosystem carbon exchange, ecosystem respiration, gross ecosystem carbon exchange, latent heat flux, sensible heat flux, 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 four time-scale data products: half-hour, daily, monthly, and yearly scales.This dataset can provide a strong data basis to carry out research on carbon and water exchange characteristics of savanna ecosystem, structure and function of savanna ecosystem, material and energy circulation, sustainable utilization of special biological resources, protection and management of savanna ecosystem, response and adaptation to global climate change, etc.
Keywords: eddy covariance technique; flux data; carbon-water cycle; meteorological elements; dry hot valley; savanna
Dataset Profile
TitleAn observation dataset of carbon and water fluxes at Yuanjiang Dry-hot Valley Ecological Station (2013 – 2015)
Data correspondence authorsSong Qinghai (sqh@xtbg.ac.cn); Liu Yuntong (liuyuntong@xtbg.ac.cn)
Data producerQi Dehua, Yang Daxin, Zhang Yiping, Fei Xuehai, Sha Liqing, Zhou Wenjun, Chen Aiguo, Wen Guojing, Zhang Shubin
Time range2013–2015
Study siteYuanjiang Dry-hot Valley Ecological Station, Yuanjiang County, Yunnan Province
Ecosystem typeSavanna ecosystem
Data amount11 MB
Data format*.xlsx
Data download website<http://www.dx.doi.org/10.11922/sciencedb.j00001.00066>
Source of fundingNational Natural Science Foundation of China (41671209, 40571163, 31061140359, 31770528, 41961144017, U1602234, U1202234, 41271056, 31290221, 41071071, 41975147, 42075119), National Basic Research Program of China (2010CB833501), 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 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
主要承担工作:数据采集和处理。
Yang Daxin
主要承担工作:数据集格式规范化、数据管理和服务。
Song Qinghai
主要承担工作:碳水通量数据最终质量控制。
sqh@xtbg.ac.cn
Liu Yuntong
主要承担工作:数据质量分析。
liuyuntong@xtbg.ac.cn
Zhang Yiping
主要承担工作:通量的总体运行与科学发展。
Fei Xuehai
主要承担工作:数据处理与撰写论文。
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。
Zhou Wenjun
主要承担工作:数据集格式规范化、数据管理和服务。
Chen Aiguo
主要承担工作:数据质量控制。
Wen Guojing
主要承担工作:数据采集与质量控制。
Zhang Shubin
主要承担工作:数据分析与撰写论文。
Publication records
Released: Nov. 25, 2020 ( VersionsZH2
Published: March 31, 2021 ( VersionsZH3
References
中国科学数据
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