2026-10-12T15:29:06Z https://www.scidb.cn/oai

10.57760/sciencedb.03266 2025-11-30T21:11:02Z

2025-11-30 Distribution of exotic mangroves Sonneratia apetala in China for 2024 doi:10.57760/sciencedb.03266 en Since the Sustainable Development Goals (SDGs) came into effect in 2016, mangroves have received unprecedented attention for carbon sequestration capacity. In China, previous studies focused on the total area of mangroves using remote sensing technique, neglecting expansion of the exotic mangrove species Sonneratia apetala, even when the species is encroaching on habitat of native species. We proposed a robust and interpretable approach to identify the exotic species, applied this approach to generate S. apetala map in China for 2024 using Sentinel-1/2 imagery, and revealed its expansion since start of the SDGs by combining existing datasets. The approach, in the form of a decision rule — VH ≥ –14.390 & B11 < 0.084—achieved an overall accuracy of 97.0% for the generated S. apetala map. Evaluated using 159 field samples, the S. apetala map for 2024 achieved an accuracy of 91.8%. The total area of the exotic species in China for 2024 was 3675 ha, which is ~ 1.25 times the area in 2020 and ~ 1.99 times the area in 2016. This study contributes a robust and interpretable approach for identifying S. apetala, revealing whether a pixel from Sentinel-1/2 imagery is inferred as S. apetala. Additionally, this study provides the first holistic view on expansion dynamics of exotic species since start of the SDGs by revealing the shrinking habitat of native mangrove species. Exotic species; Sonneratia apetala; mangrove species; mangrove forest; remote sensing maps Chuanpeng Zhao Li Yubin Zongming Wang Mingming Jia PUBLIC https://creativecommons.org/licenses/by/4.0/ dataset http://www.doi.org/10.1016/j.isprsjprs.2022.09.011 Science Data Bank