Mapping the potential of mangrove forest restoration based on species distribution models: A case study in China

• Published in: The Science of the total environment 2020-12, Vol.748, p.142321-142321, Article 142321
• Main Authors: Hu, Wenjia, Wang, Yuyu, Zhang, Dian, Yu, Weiwei, Chen, Guangcheng, Xie, Tian, Liu, Zhenghua, Ma, Zhiyuan, Du, Jianguo, Chao, Bixiao, Lei, Guangchun, Chen, Bin
• Format: Article
• Language: English
• Subjects: GARP; MaxEnt; Restoration potential; Spatial planning; Species distribution
• ISSN: 0048-9697; 1879-1026
• DOI: 10.1016/j.scitotenv.2020.142321

Mangrove forests support numerous ecosystem services and contribute to coastal ecological risk reduction. However, they are one of the most severely threatened ecosystems in the world. China has carried out national mangrove restoration projects, but there is still insufficient scientific information for the strategic planning of this restoration. In this study, we carried out mangrove suitability assessments using the genetic algorithm for rule-set prediction (GARP) and maximum entropy (MaxEnt) models, and we mapped the restoration potential of mangrove forests in China for the first time. The restoration potential index (RPI), which combines suitability and land use data, is proposed as a rapid estimator method for locating theoretically available areas for restoration. The results showed that the MaxEnt model performed better than GARP in predicting potential mangrove distributions. Temperature was the most important environmental factor for determining large scale distribution of mangroves. The predicted northern limit of mangrove distribution was around 28°27′ N–28°35′ N. Using the RPI approach, 16,800 ha with the potential to restore mangrove forests was identified. According to both models, the largest area with restoration potential occurs along the Guangdong and Guangxi coast. Nationwide, about 75% of the potential area suitable for mangrove forests has been lost as a consequence of land use and is no longer available for restoration. Around 6400 ha of ponds is currently used for aquaculture, accounting for 38% of theoretically restorable areas. These areas can be a priority for mangrove forest restoration. In conclusion, our findings provide a better scientific understanding of mangrove distribution in China and can underpin strategic design and planning of mangrove restoration. [Display omitted] •A restoration potential index combining habitat suitability and land use/land cover was proposed.•Between the two SDMs, the MaxEnt model has better performance and explanatory power.•75% of the potential suitable area was lost and is no longer available for mangrove restoration.•Nationwide, 16,800 ha with mangrove restoration potential was identified in China.