Spatial and temporal characteristics and driving mechanisms of recreational ecosystem services supply-demand mismatch in rapidly urbanizing areas: Evidence from the Yangtze River Delta

IF 7 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES
Ruien Tang , Guolin Hou , Yueyi Chen , Xiao Liu , Shaoying Chu , Li Li
{"title":"Spatial and temporal characteristics and driving mechanisms of recreational ecosystem services supply-demand mismatch in rapidly urbanizing areas: Evidence from the Yangtze River Delta","authors":"Ruien Tang ,&nbsp;Guolin Hou ,&nbsp;Yueyi Chen ,&nbsp;Xiao Liu ,&nbsp;Shaoying Chu ,&nbsp;Li Li","doi":"10.1016/j.ecolind.2025.113153","DOIUrl":null,"url":null,"abstract":"<div><div>The ecological changes triggered by rapid urbanization pose a significant threat to the balance of supply and demand for recreational ecosystem services. Understanding the spatial and temporal processes of Recreational Ecosystem Services (RES) supply–demand matching and their driving mechanisms is essential for the enhancement of human well-being and the sustainable management of socio-ecological systems in the region. Taking the Yangtze River Delta Urban Agglomeration in China as an example, this study first builds an updated supply indicator system based on the four dimensions and examines the supply, demand, and matching of RES in the region with the help of heterogeneous data from multiple sources. We also examine the spatio-temporal processes and spatial spillover effects of supply–demand matching, as well as the nonlinearity and spatial non-stationarity of the role of the driving factors. The results show that the supply level of RES is generally low, but is on an upward trend. There are significant spatial differences in the demand level, and the matching level is declining with significant polarisation. The matching types generally show a trend of decreasing L-L and M-L and a significantly increasing H-H. The changes in supply and demand risks at different levels are dominated by level-by-level migration, but the low-level units attract the higher level to leap downward across level transitions, thus indicating a significant spatial spillover effect. The regression model estimation showed a decrease in the contribution of ecological factors and an enhancement of socio-economic factors. Each factor exhibits different degrees of non-linear marginal effects. The regression coefficients were significantly heterogeneous in space. Finally, the influence processes of county-level and city-level drivers were discussed, and the establishment of a three-level transmission mechanism of “grid-county-city” was proposed to achieve the sustainable management of recreational resources.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"171 ","pages":"Article 113153"},"PeriodicalIF":7.0000,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ecological Indicators","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1470160X25000822","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0

Abstract

The ecological changes triggered by rapid urbanization pose a significant threat to the balance of supply and demand for recreational ecosystem services. Understanding the spatial and temporal processes of Recreational Ecosystem Services (RES) supply–demand matching and their driving mechanisms is essential for the enhancement of human well-being and the sustainable management of socio-ecological systems in the region. Taking the Yangtze River Delta Urban Agglomeration in China as an example, this study first builds an updated supply indicator system based on the four dimensions and examines the supply, demand, and matching of RES in the region with the help of heterogeneous data from multiple sources. We also examine the spatio-temporal processes and spatial spillover effects of supply–demand matching, as well as the nonlinearity and spatial non-stationarity of the role of the driving factors. The results show that the supply level of RES is generally low, but is on an upward trend. There are significant spatial differences in the demand level, and the matching level is declining with significant polarisation. The matching types generally show a trend of decreasing L-L and M-L and a significantly increasing H-H. The changes in supply and demand risks at different levels are dominated by level-by-level migration, but the low-level units attract the higher level to leap downward across level transitions, thus indicating a significant spatial spillover effect. The regression model estimation showed a decrease in the contribution of ecological factors and an enhancement of socio-economic factors. Each factor exhibits different degrees of non-linear marginal effects. The regression coefficients were significantly heterogeneous in space. Finally, the influence processes of county-level and city-level drivers were discussed, and the establishment of a three-level transmission mechanism of “grid-county-city” was proposed to achieve the sustainable management of recreational resources.

Abstract Image

求助全文
约1分钟内获得全文 求助全文
来源期刊
Ecological Indicators
Ecological Indicators 环境科学-环境科学
CiteScore
11.80
自引率
8.70%
发文量
1163
审稿时长
78 days
期刊介绍: The ultimate aim of Ecological Indicators is to integrate the monitoring and assessment of ecological and environmental indicators with management practices. The journal provides a forum for the discussion of the applied scientific development and review of traditional indicator approaches as well as for theoretical, modelling and quantitative applications such as index development. Research into the following areas will be published. • All aspects of ecological and environmental indicators and indices. • New indicators, and new approaches and methods for indicator development, testing and use. • Development and modelling of indices, e.g. application of indicator suites across multiple scales and resources. • Analysis and research of resource, system- and scale-specific indicators. • Methods for integration of social and other valuation metrics for the production of scientifically rigorous and politically-relevant assessments using indicator-based monitoring and assessment programs. • How research indicators can be transformed into direct application for management purposes. • Broader assessment objectives and methods, e.g. biodiversity, biological integrity, and sustainability, through the use of indicators. • Resource-specific indicators such as landscape, agroecosystems, forests, wetlands, etc.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信