近30年黄泛区人类活动强度与水-碳生态服务功能匹配的时空关联特征OA
Spatiotemporal correlation characteristics between human activity intensity and water-carbon ecosystem service function matching in Yellow River Floodplain over past 30 years
[目的]厘清不同人类活动强度下水-碳生态服务功能匹配的时空演化特征,揭示其分区响应规律与作用机制,为推动区域水碳协同发展提供理论指导.[方法]基于综合指标加权与相关性分析方法,量化1990-2020年黄泛区人类活动强度和水碳权衡/协同关系的时空变化特征,并构建人类活动强度-水-碳生态服务功能匹配响应分区模型,识别二者的耦合格局与分区动态.进一步采用偏最小二乘结构方程模型从低和中等、高两类人类活动强度区出发,系统揭示水-碳生态服务功能匹配的差异化响应路径与主导机制.[结果](1)黄泛区呈现"多核—过渡—边缘"式的人类活动强度梯度结构,表现为"动态扩散与局部回退并存"的时空演化格局,尤以郑州市区为代表的城市核心区扩散显著;1990-2020年人类活动强度呈现持续增强且向高等级迁移的动态过程,高强度区域在2000-2010年增幅达 0.34%.(2)1990-2000年产水-固碳服务对发生由权衡向协同的关键转变,强协同区域的面积占比由 2%增至11%;2000-2020年产水-固碳服务对始终以空间协同为主.(3)2010-2020年中等、高强度人类活动背景下的水-碳生态服务功能匹配响应区面积占比显著上升,除高强度—协同区外,其他类型均有增长,增幅分别为0.06%(高强度—权衡区),0.57%(中等强度—权衡区)和0.55%(中等强度—协同区),主要由2010年的无响应区和低强度控制区转化而来.(4)1990-2020年低人类活动强度控制区内人类活动强度对水-碳生态服务功能匹配的总体效应自2010年起为负(2010年、2020年分别为-0.129,-0.233),表明人类活动整体显著促进水碳协同;中等、高人类活动强度控制区的总效应(显著)在2000-2020年依次为0.235,0.158,0.188,虽自2010年起,间接效应对其略有缓冲但仍未逆转总体的权衡趋势.2010年与2020年,各强度分区中人类活动强度的主导观测因子均为农业、工业和生活用水量,GDP密度、人口密度紧随其后.[结论]人类活动强度显著影响黄泛区水碳权衡/协同关系的演化路径,中高强度干扰下权衡区扩张加剧,需加强用水行为和社会经济因素的协同管理以实现生态协同.
[Objective]This study aims to clarify the spatiotemporal evolution characteristics of water-carbon ecosystem service function matching under different human activity intensities,reveal their zoning response patterns and mechanisms of action,and provide theoretical guidance for promoting regional water-carbon synergistic development.[Methods]Based on comprehensive indicator weighting and correlation analysis methods,this study quantified the spatiotemporal variation characteristics of human activity intensity(HAI)and the trade-off/synergy relationships between water yield(WY)and carbon sequestration(CS)in the Yellow River Floodplain(YRFP)from 1990 to 2020,and constructed an HAI-water-carbon ecosystem service function matching response zoning model to identify their coupling patterns and zoning dynamics.Furthermore,partial least squares structural equation modeling(PLS-SEM)was applied to areas with low,medium,and high levels of HAI to systematically reveal the differentiated response pathways and dominant mechanisms of water-carbon ecosystem service function matching.[Results](1)The YRFP exhibited a"multi-core-transition-periphery"gradient structure of HAI,forming a spatiotemporal evolution pattern characterized by"the coexistence of dynamic expansion and local regression",with the core urban areas,especially in Zhengzhou,showing prominent expansion.From 1990 to 2020,HAI exhibited a continuous increase and a dynamic shift toward higher levels,with high-intensity areas increasing by 0.34%between 2000 and 2010.(2)From 1990 to 2000,a key transition from trade-off to synergy occurred between WY and CS services,with the proportion of areas showing strong synergy increasing from 2%to 11%.From 2000 to 2020,spatial synergy remained the dominant mode of interaction.(3)From 2010 to 2020,the area proportion of water-carbon ecosystem service function matching response zones under medium and high HAI increased significantly.Except for the high-intensity-synergy zone,all other types expanded,with increase rates of 0.06%(high-intensity-trade-off zone),0.57%(medium-intensity-trade-off zone),and 0.55%(medium-intensity-synergy zone),primarily converted from no-response zones and low-intensity control zones in 2010.(4)From 1990 to 2020,in low-HAI control zones,the total effect of HAI on water-carbon ecosystem service function matching turned negative from 2010 onward(-0.129 in 2010,-0.233 in 2020),indicating that human activity significantly promoted WY-CS synergy.In medium-and high-HAI control zones,the total effects(significant)between 2000 and 2020 were 0.235,0.158,and 0.188,respectively.Although indirect effects slightly mitigated them after 2010,they did not reverse the overall trade-off trend.In both 2010 and 2020,the dominant observed factors of HAI across all intensity zones were agricultural,industrial,and domestic water consumption,followed by GDP density and population density.[Conclusion]HAI significantly influences the evolution pathways of WY-CS trade-off/synergy relationships in the YRFP.Under medium-and high-intensity disturbances,trade-off zones have expanded considerably.Therefore,strengthening the coordinated management of water use behaviors and socioeconomic factors is critical for achieving ecological synergy.
黄霄宇;王新宇;王进欣
江苏师范大学 地理测绘与城乡规划学院,江苏 徐州 221116江苏师范大学 地理测绘与城乡规划学院,江苏 徐州 221116江苏师范大学 地理测绘与城乡规划学院,江苏 徐州 221116
资源环境
人类活动强度生态系统服务水碳耦合偏最小二乘结构方程模型时空关联
human activity intensityecosystem serviceswater-carbon couplingpartial least squares structural equation modelingspatiotemporal correlation
《水土保持研究》 2026 (3)
277-288,12
国家自然科学基金项目"苏北海岸带盐沼甲基供体及其前体成分的空间分布和对甲烷排放的影响"(31870455)
评论