Using adenosine content as a quality index of O. sinensis, we developed a comprehensive niche modelling approach to predict the spatial pattern of O. sinensis quality. Based on distribution and quality data for O. sinensis from published field work and experimental data, we separately built a comprehensive habitat suitability model to identify suitable habitats and a spatial quality model to map the adenosine content pattern in O. sinensis. The final model result was defined as the product of the results of the two models. Via this modelling process, we analysed the adenosine content in O. sinensis under baseline climates and different scenarios of future climate change.

File naming and required software

The file consists of two parts: 1. Raster data, named by the method of time plus climate scenario, such as ssp1.26_ 2020-2040s indicates the spatial distribution pattern of potential adenosine content in this species under ssp1.26 climate change scenario in 2020-2040s

2. Text file, named after the content of the file

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Cite as:

Guo, Y. (2021). The potential distribution area change of Ophiocordyceps sinensisunder different future climate change scenarios and the spatial distribution pattern change data set of high quality Cordyceps sinensis. A Big Earth Data Platform for Three Poles, DOI: 10.11888/Geogra.tpdc.271393. CSTR: 18406.11.Geogra.tpdc.271393. (Download the reference： RIS | Bibtex )

Related Literatures:

1. Guo, Y., Zhao, Z., & Li, X. (2021). Moderate warming will expand the suitable habitat of Ophiocordyceps sinensis and expand the area of O. sinensis with high adenosine content. Science of The Total Environment, 787, 147605.( View Details | Bibtex)

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

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asic Science Center forTibetan Plateau Earth System (No:41988101)

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