Transpiration dataset of Qinhai spruce stand during the growing season in Pailougou watershed (2011-2013)
Transpiration dataset of Qinhai spruce stand during the growing season in Pailougou watershed (2011-2013)

It is of great significance to carry out the quantitative study on the evapotranspiration of forest vegetation in Qilian Mountain, to correctly understand the hydrological function of the forest ecosystem in Qilian Mountain, to understand the water cycle process and to develop the hydrological model of the watershed, and to make a reasonable forest management plan. Forest evapotranspiration is mainly composed of soil surface evaporation, vegetation transpiration and canopy interception water evaporation. Traditional evapotranspiration research methods can be divided into two categories: actual measurement and estimation. The actual measurement methods include hydrology method, micro meteorology method and plant physiology method; the estimation method is to calculate Evapotranspiration by model, mainly including analysis model and empirical model. However, none of these methods can effectively distinguish forest transpiration from evaporation. The trunk liquid flow method can effectively calculate the transpiration of forest land by measuring the transpiration water consumption of trees. The trunk liquid flow method can effectively calculate the transpiration of forest land by measuring the transpiration water consumption of trees. The transpiration water consumption of Picea crassifolia forest was measured by thermal pulse technique, and the scale was extended to the stand scale to indicate the transpiration water consumption of Picea crassifolia forest.

Copyright & License

Excel format storage

Data Citations
Cite as:

Chang, X. (2014). < b>Transpiration dataset of Qinhai spruce stand during the growing season in Pailougou watershed (2011-2013)</b>2014. doi: 10.3972/heihe.069.2014.db. (Download the reference: RIS | Bibtex )

Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.


Terms of Use

To respect the intellectual property rights, protect the rights of data authors, expand services of the data center, and evaluate the application potential of data, data users should clearly indicate the source of the data and the author of the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results). For re-posting (second or multiple releases) data, the author must also indicate the source of the original data.

Support Program

None

Related Resources
Comments

Sign In to add comments

Keywords
Geographic coverage
Spatial coverage

East:100.307

South:38.529

West:100.286

North:38.558

Details
  • Format: EXCEL
  • File size: 0.02 MB
  • Browse count:9959
  • Temporal coverage:2011-01-21 To 2014-01-08
  • Access: Offline
  • Updated time:2021-04-19
下载数据
Authors

Resource Provider: CHANG Xuexiang  

导出元数据
Word