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中国国际重要滨海湿地生态系统文化服务空间分异归因研究

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滨海湿地作为海陆交互作用关键区域,具有高度生态敏感性,日益加剧的气候变化与频繁的人类活动对其资源可持续利用带来了巨大挑战.生态系统文化服务(CESs)作为桥接自然环境与人类社会的无形纽带,在海洋与海岸带综合管理中发挥重要作用.为此,本文在建立CESs参与滨海湿地资源可持续管理理论框架基础上,将多源社交媒体照片与MaxEnt模型相结合,以9处中国国际重要滨海湿地为例开展实证研究.研究结果表明:①从各CESs均值水平来看,生物多样性服务能力最强的滨海湿地为广西山口红树林湿地(0.222),其高水平面积为61.218 km2,占比27%;历史服务能力最强的是福建漳江口红树林湿地(0.336),其高水平面积为9.037km2,占比17%;科教服务能力最强的是天津北大港湿地(0.092),其高水平面积为70.981 km2,占比11%;游憩服务能力最强的是福建漳江口红树林湿地(0.350),高水平区面积为9.037 km2,占比17%.②从各CESs空间分异格局来看,生物多样性服务高水平较显著区位于广西山口红树林湿地东部和中部地区;历史服务高水平较显著区位于福建漳江口红树林湿地西部和东部地区;科教服务高水平较显著区位于天津北大港湿地西部地区;游憩服务高水平较显著区位于福建漳江口红树林湿地河口地区.③从环境变量对CESs贡献率来看,距自然保护区距离、土地利用类型和距鸟类柄息地距离是影响生物多样性服务格局分异的主要因素;而距基础设施距离、距道路距离和距鸟类栖息地距离均对9处滨海湿地历史服务、科教服务和游憩服务产生显著影响.④根据区域和国家战略、CESs均值高低及CESs类型权衡,本文将9处滨海湿地划分为生态修复导向型、生态文化振兴型和生态产业融合型3类发展模式,以期为海洋与海岸带综合治理研究及实践提供新思路.
Spatial variation of the cultural ecosystem services pattern and influencing factors in the coastal areas:Evidence from Ramsar Sites in China
Coastal wetlands,a pivotal realm of sea-land interactions,exhibit profound ecological sensitivity.Increasingly shifting climatic patterns and intensifying anthropogenic interventions pose formidable challenges to the sustainable utilization of these invaluable assets.Cultural ecosystem services(CESs)represent a subtle,yet crucial conduit connecting the natural environment and human society,thereby playing a pivotal role in the holistic management of coastal and oceanic domains.This study employed the theoretical framework of CESs involvement in the sustainable management of coastal wetland resources,and integrated multi-sourced social media data with the MaxEnt model to conduct an empirical investigation focused on nine Chinese coastal wetlands which are listed in Ramsar Convention.The results reveal the following:(1)From the mean level of each CES,the coastal wetlands with the strongest capacity for biodiversity,historical,educational,and recreational service respectively was the Guangxi Shankou Mangrove Wetland(0.222),with a high level area of 61.218 km2,accounting for 27%;Fujian Zhangjiangkou Mangrove Wetland(0.336),with a high level of9.037 km2,accounting for 17%;Tianjin Beidagang Wetland(0.092),with a high level of70.981 km2,accounting for 11%;and Fujian Zhangjiangkou Mangrove Wetland(0.350),with a high level of 9.037 km2,accounting for 17%.(2)Delineating the spatial differentiation pattern of each CES,the high-level zone for biodiversity service in Shankou Mangrove Wetland is predominantly clustered within the eastern and central regions.A high level of historical service was more significant in the western and eastern Fujian Zhangjiangkou Mangrove Wetland.Regarding educational service in the Tianjin Beidagang Wetland,high-level areas were clustered in the western sector.The high-level recreational service areas of the Zhangjiangkou Mangrove Wetland were mainly clustered in estuarine area.(3)Assessing the contributions of environmental variables to CESs,it became evident that distance to nature reserves,land-use type,and distance to bird habitats emerged as the principal factors steering the divergences in biodiversity service patterns.Simultaneously,distance to infrastructure,roads,and bird habitat proximity significantly influenced the historical,educational,and recreational services within the nine coastal wetlands,albeit to varying extents.(4)In line with both regional and national strategies,this study categorised sustainable resource management approaches for the nine coastal wetlands into three distinct modes:ecological restoration,ecological and cultural rejuvenation,and ecological and industrial integration,thereby presenting innovative paradigms for the research and implementation of comprehensive governance within China's coastal and oceanic domains.

cultural ecosystem servicescoastal wetlandsmultisource social media dataMaxEnt modelsustainable management of coastal zones

钟敬秋、高梦凡、赵玉青、彭帅、王梦婷

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辽宁师范大学海洋可持续发展研究院教育部人文社科重点研究基地,大连 116029

辽宁省"海洋经济高质量发展"高校协同创新中心,大连 116029

中国科学院地理科学与资源研究所资源与环境信息系统国家重点实验室,北京 100101

生态系统文化服务 滨海湿地 多源社交媒体数据 MaxEnt模型 海岸带可持续管理

中国科学院战略性先导科技专项国家自然科学基金教育部人文社会科学研究项目教育部人文社会科学重点研究基地重大项目辽宁省哲学社会科学青年人才培养对象委托课题大连市青年科技之星项目

XDA231004034210111321YJCZH19322JJD79003120221slwtkt-0442021RQ080

2024

地理学报
中国地理学会 中国科学院地理科学与资源研究所

地理学报

CSTPCDCSSCICHSSCD北大核心
影响因子:3.3
ISSN:0375-5444
年,卷(期):2024.79(1)
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