1 km resolution biodiversity data set of Qinghai Tibet Plateau (2000-2020)

1 km resolution biodiversity data set of Qinghai Tibet Plateau (2000-2020)


Biodiversity is the sum of the ecological complex formed by organisms and their environment and various ecological processes related to it. It is expressed at all organizational levels of the life system, including genetic diversity, species diversity and ecosystem diversity. The higher the habitat quality, the better the biological habitat environment and the higher the biodiversity. In some studies, the habitat quality index was used to characterize biodiversity (Xiao Qiang et al. 2014). Habitat quality index (HQ) is a dimensionless comprehensive index to evaluate the habitat suitability and habitat degradation degree of regional land use types. Cultivated land, roads, towns and rivers are used as habitat stress factors to form sensitivity parameters. For the production of biodiversity products, the biodiversity modeling of ecosystem in national barrier area is studied based on land use data and invest model. Invest model has the advantages of less input data, large output data and quantitative analysis of abstract ecosystem service functions. It is an important means of biodiversity assessment at present. Based on the actual situation of land use in the Qinghai Tibet Plateau, five land use types with great impact of human activities, paddy field, dry land, urban land, rural residential area and other construction land, are selected as threat factors. Taking the land use data as the input variable of the invest model, the land biodiversity of the Qinghai Tibet Plateau with a resolution of 1 km from 2000 to 2020 is estimated based on the parametric model.


File naming and required software

File naming: biodiversity data is stored as grid data. The name of the file is "Habitat qualityyyy. TIF", where yyyy represents the date. For example, habitat quality2000.tif represents biodiversity data in 2000;
Data reading method: after decompression, open it in ArcGIS software.


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

Wang, X. (2022). 1 km resolution biodiversity data set of Qinghai Tibet Plateau (2000-2020). A Big Earth Data Platform for Three Poles, DOI: 10.11888/HumanNat.tpdc.272307. CSTR: 18406.11.HumanNat.tpdc.272307. (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.


References literature

1.Peng, J., Pan, Y.J., Liu, Y.X., Zhao, H.J., & Wang, Y.L. (2018). Linking ecological degradation risk to identify ecological security patterns in a rapidly urbanizing landscape. Habitat International, 71, 110-124. (View Details )


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

Download Follow
Keywords
Geographic coverage
East: 104.63 West: 73.48
South: 25.99 North: 39.78
Details
  • Temporal resolution: 1 year < x < 10 year
  • Spatial resolution: 100m - 1km
  • File size: 101 MB
  • Views: 4006
  • Downloads: 140
  • Access: Requestable
  • Temporal coverage: 2000-2020
  • Updated time: 2022-04-13
Contacts
: WANG Xiaofeng  

Distributor: A Big Earth Data Platform for Three Poles

Email: poles@itpcas.ac.cn

Attachments
Export metadata