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Article

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

1
School of Geography and Tourism, Shaanxi Normal University, Xi’an 710119, China
2
National Engineering Laboratory for Resource Development of Endangered Crude Drugs in Northwest China, Shaanxi Normal University, Xi’an 710119, China
3
College of Life Sciences, Shaanxi Normal University, Xi’an 710119, China
*
Authors to whom correspondence should be addressed.
Plants 2023, 12(10), 1923; https://doi.org/10.3390/plants12101923
Submission received: 13 March 2023 / Revised: 26 April 2023 / Accepted: 4 May 2023 / Published: 9 May 2023
(This article belongs to the Special Issue Ecology and Management of Invasive Plants)

Abstract

Mangrove forests are one of the most productive and seriously threatened ecosystems in the world. The widespread invasion of Spartina alterniflora 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 S. alterniflora in the southeastern coast of China. We then applied the invasion risk index (IRI) to assess the risk that S. alterniflora 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 S. alterniflora are mainly distributed along the coast of Zhejiang, Fujian, and relatively less in the southern provinces. The high-risk areas for S. alterniflora 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 S. alterniflora. Among them, temperature is the most important environmental variable determining the large-scale distribution of mangrove forests. Meanwhile, S. alterniflora is more sensitive to precipitation than temperature. Our results can provide scientific insights and references for mangrove forest conservation and control of S. alterniflora.
Keywords: Spartina alterniflora; mangrove forests; species distribution models; ensemble model; invasive risk Spartina alterniflora; mangrove forests; species distribution models; ensemble model; invasive risk

Correction Statement

This article has been republished with a minor correction to the readability of Figure 2 (a), Figure 3 (a), Figure 5 (a) and Figure 6. This change does not affect the scientific content of the article.

Share and Cite

MDPI and ACS Style

Zheng, J.; Wei, H.; Chen, R.; Liu, J.; Wang, L.; Gu, W. Invasive Trends of Spartina alterniflora in the Southeastern Coast of China and Potential Distributional Impacts on Mangrove Forests. Plants 2023, 12, 1923. https://doi.org/10.3390/plants12101923

AMA Style

Zheng J, Wei H, Chen R, Liu J, Wang L, Gu W. Invasive Trends of Spartina alterniflora in the Southeastern Coast of China and Potential Distributional Impacts on Mangrove Forests. Plants. 2023; 12(10):1923. https://doi.org/10.3390/plants12101923

Chicago/Turabian Style

Zheng, Jiaying, Haiyan Wei, Ruidun Chen, Jiamin Liu, Lukun Wang, and Wei Gu. 2023. "Invasive Trends of Spartina alterniflora in the Southeastern Coast of China and Potential Distributional Impacts on Mangrove Forests" Plants 12, no. 10: 1923. https://doi.org/10.3390/plants12101923

APA Style

Zheng, J., Wei, H., Chen, R., Liu, J., Wang, L., & Gu, W. (2023). Invasive Trends of Spartina alterniflora in the Southeastern Coast of China and Potential Distributional Impacts on Mangrove Forests. Plants, 12(10), 1923. https://doi.org/10.3390/plants12101923

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