Invasive Trends of Spartina alterniflora in the Southeastern Coast of China and Potential Distributional Impacts on Mangrove Forests.

Plants (Basel, Switzerland)(2023)

引用 3|浏览5
暂无评分
摘要
Mangrove forests are one of the most productive and seriously threatened ecosystems in the world. The widespread invasion of has seriously imperiled the security of mangroves as well as coastal mudflat ecosystems. Based on a model evaluation index, we selected RF, GBM, and GLM as a predictive model for building a high-precision ensemble model. We used the species occurrence records combined with bioclimate, sea-land topography, and marine environmental factors to predict the potentially suitable habitats of mangrove forests and the potentially suitable invasive habitats of in the southeastern coast of China. We then applied the invasion risk index (IRI) to assess the risk that would invade mangrove forests. The results show that the suitable habitats for mangrove forests are mainly distributed along the coastal provinces of Guangdong, Hainan, and the eastern coast of Guangxi. The suitable invasive habitats for are mainly distributed along the coast of Zhejiang, Fujian, and relatively less in the southern provinces. The high-risk areas for invasion of mangrove forests are concentrated in Zhejiang and Fujian. Bioclimate variables are the most important variables affecting the survival and distribution of mangrove forests and . Among them, temperature is the most important environmental variable determining the large-scale distribution of mangrove forests. Meanwhile, is more sensitive to precipitation than temperature. Our results can provide scientific insights and references for mangrove forest conservation and control of .
更多
查看译文
关键词
Spartina alterniflora,mangrove forests,species distribution models,ensemble model,invasive risk
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要