Prediction of the potentially suitable areas of Elymus dahuricus Turcz in China under climate change based on maxent

Elymus dahuricus Turcz (E.dahuricus) is an excellent forage grass with very high economic value and high adaptability.Predicting the potential habitat distribution of E.dahuricus in China can provide solid and scientific theoretical support for the effective utilization of E.dahuricus germplasm resources.In this study, 180 occurrence sites of E.dahuricus and 38 environmental variables were selected, and the optimized Maxent model and ArcGIS V10.8 software were used to simulate and predict the potential distribution areas of E.dahuricus in China for the present (1970-2020),2050s (2041-2060) and 2090s (2081-2100). The results showed that (1) the simulated AUC value of MaxEnt model is 0.850,with high simulation accuracy; (2)Temperature seasonality(bio4),min temperature of coldest month(bio6),precipitation of driest quarter(bio17),precipitation seasonality(bio15),cation exchange capacity of topsoil(t_cec_soil) and altitude(elev) were the main environmental factors affecting the distribution of E.dahuricus; (3)Presently, the suitable habitats were mainly distributed in Xinjiang, Xizang, Gansu, Qinghai, Ningxia, Inner Mongolia, Shanxi, Hebei, Beijing, Liaoning, Chongqing and other provinces.According to our results that the total suitable habitat area will increase under future climate scenarios and the general trend of mass center toward higher latitude.Our results provide wild resource information and theoretical reference for the protection and rational utilization of E.dahuricus.

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Publication Details

Journal
Scientific Reports
Published
2025-05-23
DOI
https://doi.org/10.1038/s41598-025-01386-4
Citations
3
Primary Topic
Cocoa and Sweet Potato Agronomy
Type
article
Field-Weighted Citation Impact
8.23

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article

Prediction of the potentially suitable areas of Elymus dahuricus Turcz in China under climate change based on maxent

Jiamin Peng, Fenguo Zhang, Guanghua Zhao, Yongji Wang et al.
3 citations
Scientific Reports
Cocoa and Sweet Potato Agronomy
8.23
article

Prediction of the potentially suitable areas of Elymus dahuricus Turcz in China under climate change based on maxent

Jiamin Peng, Fenguo Zhang, Guanghua Zhao, Yongji Wang, Yajun Mao, Zhusong Liu
article en
3 citations

Abstract

Elymus dahuricus Turcz (E.dahuricus) is an excellent forage grass with very high economic value and high adaptability.Predicting the potential habitat distribution of E.dahuricus in China can provide solid and scientific theoretical support for the effective utilization of E.dahuricus germplasm resources.In this study, 180 occurrence sites of E.dahuricus and 38 environmental variables were selected, and the optimized Maxent model and ArcGIS V10.8 software were used to simulate and predict the potential distribution areas of E.dahuricus in China for the present (1970-2020),2050s (2041-2060) and 2090s (2081-2100). The results showed that (1) the simulated AUC value of MaxEnt model is 0.850,with high simulation accuracy; (2)Temperature seasonality(bio4),min temperature of coldest month(bio6),precipitation of driest quarter(bio17),precipitation seasonality(bio15),cation exchange capacity of topsoil(t_cec_soil) and altitude(elev) were the main environmental factors affecting the distribution of E.dahuricus; (3)Presently, the suitable habitats were mainly distributed in Xinjiang, Xizang, Gansu, Qinghai, Ningxia, Inner Mongolia, Shanxi, Hebei, Beijing, Liaoning, Chongqing and other provinces.According to our results that the total suitable habitat area will increase under future climate scenarios and the general trend of mass center toward higher latitude.Our results provide wild resource information and theoretical reference for the protection and rational utilization of E.dahuricus.

Scientific ReportsVol. 15(1)
South China Normal University (CN), Shanxi Normal University (CN)
National Natural Science Foundation of China, Shanxi Scholarship Council of China
Climate action
Openalex Percentile: Top 4%
Cocoa and Sweet Potato Agronomy
8.23
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