Published September 19, 2021 | Version v1
Dataset Open

Environmental factors, habitats and density of rare and endangered plants

  • 1. Institute of Applied Ecology

Description

This dataset contains data from the list of the National Key Protected Wild Plants (the first and second batches) officially approved by the State Council, 1898 plants were recorded in the information system of the Chinese Rare and Endangered Plants. The dataset includes: name of species (Latin Name), Place (counties in China), Latitude and Longitude (coordinates of the Place), MAP (Mean annual precipitation), MAT (Mean annual temperature) and MAH (Mean annual humidity), Altitude (Vertical distribution of habit of the rare and endangered plants), Habit (Habit type of the rare and endangered plants), Species density (number of plant species/ log (area of a county)).

In the study, we collected information on climate, altitude, habitat, and distribution of rare and endangered plants in China, to determine their habitat characteristics, geographical distribution, and the relationships between environmental factors and species density. We found that rare and endangered plants tend to distribute in warm, humid, and forested habitats. Mountains, rather than plains, hills, wind-accumulated landforms, tablelands, lakes, and glaciers, can provide mesophytic and less-disturbed refuges for rare and endangered plants. In particular, medium and medium high-altitude mountains located in monsoon-dominated regions with high precipitation, temperature, and humidity provide diversified habitats for species of rare and endangered plants with high density.

Notes

The readme file contains an explanation of each of the variables in the dataset, its units. Information on how the measurements were done can be found in the associated manuscript referenced above.

Funding provided by: National Natural Science Foundation of China
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100001809
Award Number: 31971732 and 41601588

Funding provided by: Science and Technology Plan Project of Liaoning Province*
Crossref Funder Registry ID:
Award Number: 2020020287-JH1/103-02

Funding provided by: Natural Science Foundation of Liaoning Province
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100005047
Award Number: 2019-MS-340

Funding provided by: Science and Technology Plan Project of Liaoning Province
Crossref Funder Registry ID:
Award Number: 2020020287-JH1/103-02

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