Data of lake benthos in Tibet (2019)

Data of lake benthos in Tibet (2019)


This data includes the benthos data of 21 lakes around Selinco and Namco in 2019. The sampling mainly uses bottom trawl in the littoral zone and Ekman collector in the deep-water area. After integrating the materials obtained by the two ways, the relative abundance of benthos data of each lake is given. The main benthos species are Gammarus, water beetles, and chironomid larvae. However, the frequency of Gastropoda and Ostracoda is low, which may be related to the sampling sites. The data further divided different types of benthos into 21 taxa, which improved the recognition accuracy and cognitive range and would provide a reference for the assessment of aquatic animal diversity and fishery resources in plateau lakes.


File naming and required software

The file named STEP_2019_Lake benthos_relative abundance.xlsx, you can open it with Excel software.
The model of lake name + sampling date is used to name sampling points; Species names provide two corresponding patterns: Chinese name and Latin name; The benthic data is relative abundance.


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Cite as:

Tang, H. (2021). Data of lake benthos in Tibet (2019). A Big Earth Data Platform for Three Poles, DOI: 10.11888/HumanNat.tpdc.272951. CSTR: 18406.11.HumanNat.tpdc.272951. (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

Second Tibetan Plateau Scientific Expedition Program

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


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Geographic coverage
East: 91.50 West: 87.29
South: 32.40 North: 30.48
Details
  • Temporal resolution: 1 year < x < 10 year
  • Spatial resolution: 10km - 100km
  • File size: 0.01577 MB
  • Views: 1321
  • Downloads: 0
  • Access: Protection period
  • Temporal coverage: 2019-08-20 To 2019-09-11
  • Updated time: 2021-05-31

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Contacts
: TANG Hongqu   

Distributor: A Big Earth Data Platform for Three Poles

Email: poles@itpcas.ac.cn

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