Wang Ming, Wang Weimin, Ding Yanmei, Yang Shuai, Shi Honghua
Laoshan Laboratory, Qingdao 266237, China.
Laoshan Laboratory, Qingdao 266237, China.
Sci Total Environ. 2025 Feb 10;964:178601. doi: 10.1016/j.scitotenv.2025.178601. Epub 2025 Jan 24.
Seagrasses represent a significant class of marine foundation species, yet the distribution of seagrasses in the Yellow Sea and Bohai Sea remains uncertain, thereby impeding the efficacy of conservation and restoration practices. In this study, the spatial and temporal distribution pattern of seagrasses was simulated by the MaxEnt model based on the construction of marine environment and human activity datasets. The main controlling factors affecting seagrass potential distribution were analyzed, and the response of seagrass distribution to global change was clarified. Additionally, the current status of protected and disturbed seagrass meadows was determined. The results indicate the accuracy of the MaxEnt model was enhanced (AUC = 0.987) through the integration of a human activity index, pinpointing a highly suitable seagrass area of 867.64 km. The primary factors dictating seagrass distribution were identified as human activities index (18.4 %), water quality indicators (including nitrate 20.9 %, silicate 11.3 %, and dissolved iron 6.4 %), and topographic elements (such as bathymetry 15.1 % and slope 12.0 %). The highly suitable areas for seagrasses showed a gradual expansion in the future, with a projected increase of 12 % in 2100 under the SSP585 scenario. A binary overlay analysis showed that only 2.61 % of seagrass potential habitats (highly and moderately suitable areas) were adequately protected, highlighting a significant conservation gap in the Yellow Sea and Bohai Sea regions. On the contrary, seagrass potential habitats exposed to mariculture activities were as much as 49.76 %. These findings underscore the urgent need for monitoring and protecting seagrasses in the study area, with the establishment of MPAs emerging as a viable conservation strategy. This research provides a scientific basis for understanding the degradation and conservation status of seagrass meadows and has important practical implications for targeted conservation and restoration efforts of these critical marine foundation species.
海草是一类重要的海洋基础物种,但黄海和渤海海草的分布仍不明确,这阻碍了保护和恢复措施的有效性。在本研究中,基于海洋环境和人类活动数据集的构建,利用MaxEnt模型模拟了海草的时空分布格局。分析了影响海草潜在分布的主要控制因素,阐明了海草分布对全球变化的响应。此外,还确定了受保护和受干扰海草草甸的现状。结果表明,通过整合人类活动指数,MaxEnt模型的精度得到了提高(AUC = 0.987),确定了867.64平方千米的高度适宜海草生长区域。决定海草分布的主要因素被确定为人类活动指数(18.4%)、水质指标(包括硝酸盐20.9%、硅酸盐11.3%和溶解铁6.4%)以及地形要素(如测深15.1%和坡度12.0%)。海草的高度适宜区域在未来呈逐渐扩大趋势,在SSP585情景下,预计到2100年将增加12%。二元叠加分析表明,只有2.61%的海草潜在栖息地(高度和中度适宜区域)得到了充分保护,这突出了黄海和渤海地区存在显著的保护缺口。相反,受海水养殖活动影响的海草潜在栖息地高达49.76%。这些发现强调了在研究区域监测和保护海草的迫切需要,建立海洋保护区成为一种可行的保护策略。本研究为了解海草草甸的退化和保护状况提供了科学依据,对这些关键海洋基础物种的针对性保护和恢复工作具有重要的实际意义。