Chinese Ecosystem Research Network Zone I Versions ZH1
A dataset of underground water level in National Field Station for Forest Ecosystems in Shennongjia (2012–2016)
Dataset URL >>
: 2019 - 08 - 30
: 2019 - 10 - 16
: 2019 - 10 - 16
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Abstract & Keywords
Abstract: Underground water is an important natural resource in a region, and the data of underground water level can provide important references for studying the long-term changes of underground water. This data set collected underground water level data recorded by manual from June 2012 to December 2016 at National Field Station for Forest Ecosystems in Shennongjia (SNF), also known as Shennongjia Biodiversity Research Station of Chinese Academy of Sciences, with a total of 1675 data items. In order to facilitate users to understand the general situation of underground water level of this site (such as average depth and its changes), the mean value, standard deviation, accumulated monthly dynamics, annual variation and trend of the groundwater level depth of each station were calculated.
Keywords: underground water level; North subtropical; SNF
Dataset Profile
TitleA dataset of underground water level in National Field Station for Forest Ecosystems in Shennongjia (2012–2016)
Data corresponding authorXie Zongqiang (
Data authorsZhao Changming, Shen Guozhen, Xu Wenting, Xiong Gaoming, Fan Dayong, Zhou Youbing, Ge Jielin, Xie Zongqiang
Time rangefrom June 2012 to December 2016
Geographical scope31°18′N, 110°28′E
Data volume84 KB, 1675 items
Data format*.xlsx
Data service system<>;
Source of fundingCERN, Program of Sharing Service Platform of Chinese National Ecosystem Research Network (2005DKA10300).
Dataset/Database compositionThe dataset consists of 1,675 items, which contains date, code of underground water well for observation, plot name, vegetation, underground water level.
Article and author information
Zhao Changming
Shen Guozhen
Xu Wenting
Xiong Gaoming
FAN dayong
Zhou Youbing
Ge Jielin
Xie Zongqiang
Publication records
Released: Oct. 16, 2019 ( VersionsZH1