Simulation of potential distribution of <i>Uraria</i> in China based on maximum entropy model

Zhu Meng-Jie; Miao Jia; Zhao Xue-Li

doi:10.11913/PSJ.2095-0837.2020.40476

Plant Science Journal > 2020 > 38(4): 476-482. > DOI: 10.11913/PSJ.2095-0837.2020.40476 CSTR: 32231.14.PSJ.2095-0837.2020.40476

Zhu Meng-Jie, Miao Jia, Zhao Xue-Li. Simulation of potential distribution of Uraria in China based on maximum entropy model[J]. Plant Science Journal, 2020, 38(4): 476-482. DOI: 10.11913/PSJ.2095-0837.2020.40476

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Simulation of potential distribution of Uraria in China based on maximum entropy model

College of Forestry, Southwest Forestry University, Kunming 650224, China

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This work was supported by grants from the National Natural Science Foundation of China (31800170) and Scientific Research Foundation of Southwest Forestry University (111826).

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Received Date: September 29, 2019
Revised Date: November 20, 2019
Available Online: October 31, 2022
Published Date: August 27, 2020

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Abstract

Abstract

This study predicted the potential distribution of the genus Uraria under the Last Glacial Maximum (LGM) and current and future (2070s) climate scenarios using the maximum entropy model (MaxEnt). Based on 19 climatic factors and 203 distribution records, dominant factors were chosen using the Jackknife test and receiver operating characteristic (ROC) curves were used to evaluate the simulations. Results revealed that the accuracy of the prediction was "Excellent". The climatic factors with the greatest impact on the distribution of the genus were precipitation in the warmest quarter and minimum temperature of the coldest month. Guangxi, Guangdong, and Taiwan were determined to be the origin centers of the genus in China. With global warming, the suitable geographical distribution of Uraria will shift to the northern and eastern coastal areas of China.
- Uraria,
- Maximum entropy model,
- Environmental factors,
- Distribution modeling,
- Climate change

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References (31)

References

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Simulation of potential distribution of Uraria in China based on maximum entropy model

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