Sha Jingjing, Liu Xudong, Wang Hui, Song Xiaoli, Bao Mengmeng, Yu Qingyun, Wen Guoyi, Wei Miao
North China Sea Ecological Center, Ministry of Natural Resources, Qingdao, 266033, China; Key Laboratory of Ecological Prewarning, Protection and Restoration of Bohai Sea, Ministry of Natural Resources, Qingdao, 266033, China; Observation and Research Station of Yellow-Bohai Sea Temperate Seagrass Bed Ecosystem, MNR, Qingdao, 266033, China.
North China Sea Ecological Center, Ministry of Natural Resources, Qingdao, 266033, China; Key Laboratory of Ecological Prewarning, Protection and Restoration of Bohai Sea, Ministry of Natural Resources, Qingdao, 266033, China.
Mar Environ Res. 2025 Feb;204:106873. doi: 10.1016/j.marenvres.2024.106873. Epub 2024 Nov 27.
Seagrass beds serve crucial ecological functions, yet they are facing a severe decline necessitating immediate conservation and restoration efforts. Current assessments of seagrass habitat suitability are insufficient, thus hindering the restoration effects. This study used a combination of field surveys and satellite remote sensing to conduct a three-year monitoring of typical temperate seagrass beds in the Caofeidian and Xingcheng areas of the Bohai Sea. The relationships between seagrass community factors and environmental factors were investigated using Spearman correlation analysis, BIOENV analysis, and redundancy analysis (RDA). Subsequently, the weights of each environmental factor were determined using the Analytic Hierarchy Process (AHP), leading to the development of the Habitat Suitability Index (HSI). Seagrass habitat suitability maps for Caofeidian and Xingcheng areas were then generated using Geographic Information System (GIS). The results indicate that both seagrass ecosystems degraded during the study period, which coincided with a decreasing trend in habitat suitability shown by the suitability maps. This study provides a methodology for seagrass bed habitat suitability assessment, thereby contributing to the conservation and restoration of these vital ecosystems.