Distribution Atlas of flagship species in key regions (2020 Edition)

Distribution Atlas of flagship species in key regions (2020 Edition)


The data mainly include one belt, one road, the flagship species (POLYGON) and the POINT (DOT) distribution in the countries and key areas along the route, data sources IUCN and GIBF. The basic data base map of distribution map is downloaded from arconline map. One belt, one road area, is used to analyze the spatial distribution of flagship species in the key area.

1) data one belt, one road animal area (Central Asia Great Lakes region, China Brazil economic corridor and Sanjiang source National Park), and 9 species of mammals, 15 species of higher plants and fungi, 20 species of birds and 3 species of fishes.

2) data sources one by one: one belt, one road, the flagship species list and its distribution basic data: the red list of IUCN and the geographic spatial data of GBIF, and the distribution map of each species is generated by AcrMap software, and the atlas is formed.

3) Data quality description: after strict literature investigation and field investigation, each species determined the flagship standard, and strictly screened and scored according to the principle of "flagship selection standard (at least 4 of the 6 indicators)" by mammalian experts, higher botany and mycology experts, ornithology experts and ichthyology experts, and selected those with a score of more than 25 points Species atlas production. The longitude and latitude information of each species' geospatial data was checked by professionals, and the map was made according to the unified mapping standard.

4) data application one after another: one belt, one road, the survival status, ecological value and humanistic economic value of the flagship species in the "one belt and one way" area were investigated.


File naming and required software

File naming: the data of each species is stored in vector shape file format, and the file naming is Chinese name + Latin short name + file suffix, such as "Panthera snow leopard" uncia.shp ”。 The distribution map is stored in PNG format and named with Chinese name + Latin short name + file suffix, such as "Snow Leopard Panthera" uncia.png ”。
Data shape file reading method: open through ArcMap data loading.
Png reading mode of distribution map: any readable map software can be opened directly.


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

Wang, Y., Zhang, Y., Yang, W., Chen, Y., Qu, Y., Chen, S., Zhuang, H., Wang, Y., Lin, Z. (2020). Distribution Atlas of flagship species in key regions (2020 Edition). A Big Earth Data Platform for Three Poles, (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)


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Keywords
Geographic coverage
East: 180.00 West: 180.00
South: 85.00 North: 79.00
Details
  • Temporal resolution: Yearly
  • Spatial resolution: -
  • File size: 207 MB
  • Views: 1313
  • Downloads: 375
  • Access: Open Access
  • Temporal coverage: 1970-01-01 To 2020-12-15
  • Updated time: 2021-04-25
Contacts
: WANG Yuhua   ZHANG Yuanming   YANG Weikang   CHEN Yifeng   QU Yanhua   CHEN Shilong   ZHUANG Huifu   WANG Yanan   LIN Zihong  

Distributor: A Big Earth Data Platform for Three Poles

Email: poles@itpcas.ac.cn

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