{"title":"A framework of composite factors for assessing ecosystem service supply drivers: A sustainable socio-ecological perspective","authors":"Chang You , Hongjiao Qu , Luo Guo","doi":"10.1016/j.ecolind.2024.112811","DOIUrl":null,"url":null,"abstract":"<div><div>Studying the coupled relationship between social-ecological systems (SES) provides a more comprehensive understanding of the impact of human activity on ecosystems, thereby facilitating the formulation of more rational environmental protection policies. A deeper understanding of this relationship can promote the sustainable utilization and management of the environment. With its abundant natural resources, Ganzhou City represents the most typical ecological location in the southern hilly region of China. In this study, we constructed a sustainable framework for composite factors to analyze their effects on the ecosystem services supply (ESS). This framework emphasizes the positive roles assessment indicators such as water, forests, lakes, grasslands, and governance have on ESS, which are directly linked to the objectives of Sustainable Development Goal (SDG) 15, which include forest conservation, biodiversity maintenance, and water resource management. The results indicate that: (1) From 2005 to 2020, the overall ESS index in the central and western regions of Ganzhou showed a trend of being lower in the north and higher in the south, with areas outside the central and western regions showing a yearly increase. (2) Water, forest, lake, grassland, and governance indicators have a positive impact on the total ESS, while indicators such as mountains, sand, society, and actors have a negative impact. (3) From 2005 to 2020, the coupling coordination relationship in the central-northern and southern regions of Ganzhou gradually strengthened, with most areas shifting from a dysfunctional state to a low coupling state. By 2030, the total ESS index in counties such as Ningdu, Yudu, Huichang, Chongyi, and Xunwu is expected to decline. Some northeastern and southern regions are projected to show an upward trend by 2035. This study will significantly contribute to the realization of SDG 15, as it integrates closely related composite factors into a sustainable SES framework, by further delving into the factors influencing ESS and providing practical guidance for achieving SDGs.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"169 ","pages":"Article 112811"},"PeriodicalIF":7.0000,"publicationDate":"2024-11-06","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/S1470160X24012688","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
Studying the coupled relationship between social-ecological systems (SES) provides a more comprehensive understanding of the impact of human activity on ecosystems, thereby facilitating the formulation of more rational environmental protection policies. A deeper understanding of this relationship can promote the sustainable utilization and management of the environment. With its abundant natural resources, Ganzhou City represents the most typical ecological location in the southern hilly region of China. In this study, we constructed a sustainable framework for composite factors to analyze their effects on the ecosystem services supply (ESS). This framework emphasizes the positive roles assessment indicators such as water, forests, lakes, grasslands, and governance have on ESS, which are directly linked to the objectives of Sustainable Development Goal (SDG) 15, which include forest conservation, biodiversity maintenance, and water resource management. The results indicate that: (1) From 2005 to 2020, the overall ESS index in the central and western regions of Ganzhou showed a trend of being lower in the north and higher in the south, with areas outside the central and western regions showing a yearly increase. (2) Water, forest, lake, grassland, and governance indicators have a positive impact on the total ESS, while indicators such as mountains, sand, society, and actors have a negative impact. (3) From 2005 to 2020, the coupling coordination relationship in the central-northern and southern regions of Ganzhou gradually strengthened, with most areas shifting from a dysfunctional state to a low coupling state. By 2030, the total ESS index in counties such as Ningdu, Yudu, Huichang, Chongyi, and Xunwu is expected to decline. Some northeastern and southern regions are projected to show an upward trend by 2035. This study will significantly contribute to the realization of SDG 15, as it integrates closely related composite factors into a sustainable SES framework, by further delving into the factors influencing ESS and providing practical guidance for achieving SDGs.
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.