| Title: |
Predicting the Potential Suitable Distribution of Albizia odoratissima (L. f.) Benth. Under Climate Change Based on the Biomod2 Model |
| Authors: |
Zhiting Li, Qiaomiao Ji, Yong Yang, Yunfei Gao, Meng Xu, Yali Guan |
| Source: |
Biology, Vol 14, Iss 2, p 180 (2025) |
| Publisher Information: |
MDPI AG, 2025. |
| Publication Year: |
2025 |
| Collection: |
LCC:Biology (General) |
| Subject Terms: |
Albizia odoratissima, Biomod2, climate change, potential geographic distributions, Biology (General), QH301-705.5 |
| More Details: |
Albizia odoratissima (L. f.) Benth. is a highly valuable tree species, both economically and ecologically. It has great potential for development. To conserve, develop, and use its genetic resources sustainably, it is crucial to evaluate the potential habitat of A. odoratissima and identify the key environmental factors that affect its distribution. In this study, the Biomod2 model was used to predict the potential distribution of A. odoratissima in China, using 65 occurrence points and 11 environmental variables for both current and future climate scenarios. The distribution of A. odoratissima is mainly influenced by three temperature-related factors: bio4, bio8, and bio11. Our prediction shows that the suitable habitats for A. odoratissima are mostly located in several southern provinces of China, totaling 136.98 × 104 km2. Under different climate scenarios, the suitable habitat area is expected to shift northward in the future, although the highly suitable areas will remain relatively stable. These findings have important implications for the conservation, development, and sustainable utilization of A. odoratissima resources. |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
2079-7737 |
| Relation: |
https://www.mdpi.com/2079-7737/14/2/180; https://doaj.org/toc/2079-7737 |
| DOI: |
10.3390/biology14020180 |
| Access URL: |
https://doaj.org/article/60bdcd1c91684320823ec6a5c6421977 |
| Accession Number: |
edsdoj.60bdcd1c91684320823ec6a5c6421977 |
| Database: |
Directory of Open Access Journals |
