Prediction of the potentially suitable areas of Leonurus japonicus in China based on future climate change using the optimized MaxEnt model
Abstract Leonurus japonicus Houtt. is a traditional Chinese medicinal plant with high medicinal and edible value. Wild L. japonicus resources have reduced dramatically in recent years. This study predicted the response of distribution range of L. japonicus to climate change in China, which provided...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2023-10-01
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| Series: | Ecology and Evolution |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/ece3.10597 |
| _version_ | 1797648373373730816 |
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| author | Yongji Wang Liyuan Xie Xueyong Zhou Renfei Chen Guanghua Zhao Fenguo Zhang |
| author_facet | Yongji Wang Liyuan Xie Xueyong Zhou Renfei Chen Guanghua Zhao Fenguo Zhang |
| author_sort | Yongji Wang |
| collection | DOAJ |
| description | Abstract Leonurus japonicus Houtt. is a traditional Chinese medicinal plant with high medicinal and edible value. Wild L. japonicus resources have reduced dramatically in recent years. This study predicted the response of distribution range of L. japonicus to climate change in China, which provided scientific basis for the conservation and utilization. In this study, 489 occurrence points of L. japonicus were selected based on GIS technology and spThin package. The default parameters of MaxEnt model were adjusted by using ENMeva1 package of R environment, and the optimized MaxEnt model was used to analyze the distribution of L. japonicus. When the feature combination in the model parameters is hing and the regularization multiplier is 1.5, the MaxEnt model has a higher degree of optimization. With the AUC of 0.830, our model showed a good predictive performance. The results showed that L. japonicus were widely distributed in the current period. The maximum temperature of warmest month, the min temperature of coldest month, the precipitation of wettest month, the precipitation of driest month, and altitude were the main environmental factors affecting the distribution of L. japonicus. Under the three climate change scenarios, the suitable distribution area of L. japonicus will range shift to high latitudes, indicating that the distribution of L. japonicus has a strong response to climate change. The regional change rate is the lowest under the SSP126‐2090s scenario and the highest under the SSP585‐2090s scenario. |
| first_indexed | 2024-03-11T15:30:11Z |
| format | Article |
| id | doaj.art-85cea5576b9342a7a2a0c699fec98567 |
| institution | Directory Open Access Journal |
| issn | 2045-7758 |
| language | English |
| last_indexed | 2024-03-11T15:30:11Z |
| publishDate | 2023-10-01 |
| publisher | Wiley |
| record_format | Article |
| series | Ecology and Evolution |
| spelling | doaj.art-85cea5576b9342a7a2a0c699fec985672023-10-27T04:40:51ZengWileyEcology and Evolution2045-77582023-10-011310n/an/a10.1002/ece3.10597Prediction of the potentially suitable areas of Leonurus japonicus in China based on future climate change using the optimized MaxEnt modelYongji Wang0Liyuan Xie1Xueyong Zhou2Renfei Chen3Guanghua Zhao4Fenguo Zhang5School of Life Science Shanxi Normal University Taiyuan ChinaSchool of Life Science Shanxi Normal University Taiyuan ChinaSchool of Life Science Shanxi Normal University Taiyuan ChinaSchool of Life Science Shanxi Normal University Taiyuan ChinaSchool of Life Science Shanxi Normal University Taiyuan ChinaSchool of Life Science Shanxi Normal University Taiyuan ChinaAbstract Leonurus japonicus Houtt. is a traditional Chinese medicinal plant with high medicinal and edible value. Wild L. japonicus resources have reduced dramatically in recent years. This study predicted the response of distribution range of L. japonicus to climate change in China, which provided scientific basis for the conservation and utilization. In this study, 489 occurrence points of L. japonicus were selected based on GIS technology and spThin package. The default parameters of MaxEnt model were adjusted by using ENMeva1 package of R environment, and the optimized MaxEnt model was used to analyze the distribution of L. japonicus. When the feature combination in the model parameters is hing and the regularization multiplier is 1.5, the MaxEnt model has a higher degree of optimization. With the AUC of 0.830, our model showed a good predictive performance. The results showed that L. japonicus were widely distributed in the current period. The maximum temperature of warmest month, the min temperature of coldest month, the precipitation of wettest month, the precipitation of driest month, and altitude were the main environmental factors affecting the distribution of L. japonicus. Under the three climate change scenarios, the suitable distribution area of L. japonicus will range shift to high latitudes, indicating that the distribution of L. japonicus has a strong response to climate change. The regional change rate is the lowest under the SSP126‐2090s scenario and the highest under the SSP585‐2090s scenario.https://doi.org/10.1002/ece3.10597climate changeENMevalLeonurus japonicusMaxEntniche modeling |
| spellingShingle | Yongji Wang Liyuan Xie Xueyong Zhou Renfei Chen Guanghua Zhao Fenguo Zhang Prediction of the potentially suitable areas of Leonurus japonicus in China based on future climate change using the optimized MaxEnt model Ecology and Evolution climate change ENMeval Leonurus japonicus MaxEnt niche modeling |
| title | Prediction of the potentially suitable areas of Leonurus japonicus in China based on future climate change using the optimized MaxEnt model |
| title_full | Prediction of the potentially suitable areas of Leonurus japonicus in China based on future climate change using the optimized MaxEnt model |
| title_fullStr | Prediction of the potentially suitable areas of Leonurus japonicus in China based on future climate change using the optimized MaxEnt model |
| title_full_unstemmed | Prediction of the potentially suitable areas of Leonurus japonicus in China based on future climate change using the optimized MaxEnt model |
| title_short | Prediction of the potentially suitable areas of Leonurus japonicus in China based on future climate change using the optimized MaxEnt model |
| title_sort | prediction of the potentially suitable areas of leonurus japonicus in china based on future climate change using the optimized maxent model |
| topic | climate change ENMeval Leonurus japonicus MaxEnt niche modeling |
| url | https://doi.org/10.1002/ece3.10597 |
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