Data sets of key technologies and demonstration for vegetation restoration and reconstruction in desertification land(2021)

Data sets of key technologies and demonstration for vegetation restoration and reconstruction in desertification land(2021)


This data set records the simulation area of vegetation restoration and reconstruction technology of sandy land (Ningxia / Zhongwei / Shapotou) meteorological elements and three parameter data of soil at different depths from January 2021 to December 2021, and in order to explore the feasibility of high salinity salt water in the Aral Sea for vegetation construction, the project members carried out salt water irrigation and planting Suaeda salsa in saline alkali lands such as No. 2 company, regiment 31, second agricultural division, ganquanpu, Karamay, Luntai and tumushuk in the lower reaches of Tarim River, Xinjiang from 2020 to 2021 To study the phenotypic characteristics of different plants under high salinity saline water irrigation. The collected data include soil physical and chemical properties such as soil water content, electrical conductivity and soil salt, as well as physiological data of salt tolerant plants.


File naming and required software

From January 2021 to December 2021, desertification land vegetation restoration and reconstruction technology simulation area (Ningxia / Zhongwei / Shapotou) meteorological elements and three parameter data of soil at different depths; soil and irrigation water data of ganquanpu saline alkali land vegetation construction test area - monitoring data of soil and plant salt changes in Karamay saline alkali land biological improvement test area - Determination of soil nutrients and salts in different sections of Luntai saline desert area - soil samples and water sample data of demonstration land of 33 regiment of the second agricultural division - tumushu The soil sample data of gram saline alkali low yield field is in Excel format, which can be opened and read by office, WPS and other office software


Data Citations Data citation guideline What's data citation?
Cite as:

Li, X., He, M., Zhao, Z. (2021). Data sets of key technologies and demonstration for vegetation restoration and reconstruction in desertification land(2021). A Big Earth Data Platform for Three Poles, DOI: 10.11888/HumanNat.tpdc.271921. CSTR: 18406.11.HumanNat.tpdc.271921. (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.


Support Program

Pan-Third Pole Environment Study for a Green Silk Road-A CAS Strategic Priority A Program (No:XDA20000000)

Copyright & License

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.


License: This work is licensed under an Attribution 4.0 International (CC BY 4.0)


Related Resources
Comments

Current page automatically show English comments Show comments in all languages

Follow
Keywords
Geographic coverage
East: 110.38 West: 77.02
South: 32.34 North: 42.21
Details
  • Temporal resolution: Daily
  • Spatial resolution: 10km - 100km
  • File size: 7 MB
  • Views: 1318
  • Downloads: 0
  • Access: Protection period
  • Temporal coverage: 2021-01-01 To 2021-12-20
  • Updated time: 2021-12-31

download later

Contacts
: LI Xinrong   HE Mingzhu   ZHAO Zhenyong  

Distributor: A Big Earth Data Platform for Three Poles

Email: poles@itpcas.ac.cn

Export metadata