Impact of Land-Use–Land Cover Changes on the Service Value of Urban Ecosystems: Evidence from Chengdu, China
Publication: Journal of Urban Planning and Development
Volume 150, Issue 3
Abstract
Conducting an assessment of ecosystem service values and examining the influence of changes in land utilization on these values in Chengdu City help to deepen our comprehension of the ecological and environmental impacts of such changes. This, in turn, provides valuable insights into the construction of an ecological civilization and the sustainable utilization of land resources in Chengdu City. Based on land-use data from 2005 to 2020, this paper employs a dynamic model of land-use change, the land-use structure change index method, and an ecosystem service value measurement model to analyze the impact of land-use change on ecosystem service value in Chengdu City. The results showed that (1) the area of construction land in Chengdu City increased and those of cultivated land and unused land decreased; (2) from 2005 to 2014, the ecosystem service value in Chengdu City witnessed a rise of 1.559 billion yuan, while from 2014 to 2020, it experienced a decline of 947.77 million yuan; and (3) the sensitivity index of the ecosystem value shows that forest land contributes the most to the total value of ecosystem services. This paper comprehensively analyzes the impact of land-use change in Chengdu City from 2005 to 2020 on the ecosystem service value. It offers a reference foundation for advancing the efficient allocation of land resources in Chengdu City and nurturing the balanced and sustainable development of the economy and ecology.
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Data Availability Statement
The corresponding author is willing to provide some or all data, models, or codes supporting the findings of this study upon reasonable request.
Acknowledgments
This work was supported by the National Social Science Fund of China: “Ecological Importance and Supporting Policies of Ecological Functional Areas in Key Urban Clusters in China” (No. 19FJY003). The authors express their gratitude to the editors and the anonymous reviewers for their valuable comments and suggestions. Additionally, they appreciate the linguistic assistance provided by LetPub during the manuscript preparation.
Author contributions: Zhigang Li: Conceptualization, Supervision, Validation, Writing—Review & Editing, Funding Acquisition; Yangjie Tian: Data Curation, Software, Visualization, Writing—Original Draft; Jiaxing Zhu: Methodology, Software, Investigation
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Received: Jul 19, 2023
Accepted: Apr 17, 2024
Published online: Jun 24, 2024
Published in print: Sep 1, 2024
Discussion open until: Nov 24, 2024
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