摘要
[目的]水生态系统服务与城镇化的关系关乎区域可持续发展,黄河流域水生态问题突出,厘清水生态系统服务与城镇化权衡协同关系及其影响因素,将有助于制定区域发展策略。[方法]本文运用InVEST模型在县域尺度分析了2000-2020年黄河流域城市群水生态系统服务的空间格局,从人口、土地和经济3个维度分析了城镇化的时空变化,使用双变量自相关、Spearman相关系数和差异划分法定量分析了水生态系统服务与城镇化的权衡协同关系,最后利用GTWR模型揭示了生态和社会因子对权衡协同关系的影响。[结果]①黄河流域城市群水生态系统服务以粮食生产与水土保持服务为主,且得到显著提升;城镇化水平不断提高,县(区)间的差异不断缩小。②水生态系统服务与城镇化之间的空间关系以“低-低”“高-低”类型为主,两者在全局上呈现权衡关系;在局部则以表现协同关系的县(区)为主,但呈权衡关系的县(区)数量逐渐增多,且主要分布在黄河几字弯都市圈西北部、关中平原城市群中部和山东半岛城市群东部。③降水、以植被恢复为主的生态措施、土地利用强度和区位因子对两者权衡协同关系主要呈正影响,而温度、海拔、地形和经济发展水平因子则相反。海拔和地形因子对二者权衡协同关系影响强度最强,其次为降水因子,其余因子影响强度较弱。[结论]因此,需针对水生态系统服务功能与城镇化空间失调的问题,根据两者之间的权衡协同关系及其驱动因子的时空分异,分区分类制定生态保护和发展政策。
[Objective]The relationship between water ecosystem services and urbanization is related to regional sustainable development.The Yellow River Basin has pronounced water ecological problems,and clarifying the synergistic relationship between water ecosystem services and urbanization and their influencing factors will contribute to formulating development strategies.[Methods]This study evaluated the distribution pattern of water ecosystem services and urbanization from 2000 to 2020 by using the InVEST model and a comprehensive evaluation model,explored the trade-offs/synergistic relationship between the two using bivariate autocorrelation,correlation coefficients,and the division of variance method,and analyzed the ecological and social influencing factors on the Tradeoffs/synergistic relationship based on the geographical and temporal weighted regression(GTWR)model.[Results](1)The water ecosystem services of the Yellow River Basin urban agglomeration are dominated by food production and soil and water conservation services,and have been significantly enhanced;the level of urbanization has been increasing,and the differences between counties(districts)have been narrowing.(2)The spatial relationship between water ecosystem services and urbanization is dominated by the types of"low-low"and"high-low",which show a trade-off relationship globally and a synergistic relationship locally in counties and districts,but the number of counties and districts with the trade-off relationship has gradually increased and is the main distribution of the northwestern part of the Yellow River Bend Metropolitan Area,the central part of the Guanzhong Plain urban agglomeration,and the eastern part of the Shandong Peninsula urban agglomeration.(3)Precipitation,ecological measures based on vegetation restoration,landuse intensity and location factors have mainly positive effects on the trade-offs/synergistic relationship,while the opposite is true for temperature,altitude,topography and level of economic development.Elevation and topography factors have the strongest influence on the trade-offs/synergistic relationship,followed by precipitation,and the rest of the factors have a weaker influence.[Conclusion]Therefore,to address the spatial mismatch between water ecosystem services and urbanization,ecological protection and development policies need to be formulated in zones and classified according to the synergistic relationship between the trade-offs between the two and the temporal differentiation of their driving factors.
作者
万世龙
杨海楠
马丽
叶露锋
张子龙
WAN Shilong;YANG Hainan;MA Li;YE Lufeng;ZHANG Zilong(Key Laboratory of Western China's Environmental Systems(Ministry of Education),College of Earth and Environmental Sciences,Lanzhou University,Lanzhou 730000,China;Key Laboratory of Regional Sustainable Development Modeling of the Chinese Academy of Sciences,Institute of Geographic Sciences and Natural Resources Research,CAS,Beijing 100101,China;Institute of Gren Development for the Yellow River Drainage Basin,Lanzhou University,Lanzhou 730000,China;Institute of Carbon Peak&Carbon Neutrality,Lanzhou University,Lanzhou 730000,China)
出处
《资源科学》
CSSCI
CSCD
北大核心
2024年第3期505-523,共19页
Resources Science
基金
国家自然科学基金项目(72050001)。
关键词
水生态系统服务
城镇化
权衡协同
影响因素
黄河流域城市群
water ecosystem service
urbanization
trade-offs/synergistic relationship
influencing factors
Yellow River Basin urban agglomeration
