Spatiotemporal Differentiation of Land Ecological Security and Optimization Based on GeoSOS-FLUS Model: A Case Study of the Yellow River Delta in China Toward Sustainability

Lu Han, Yanbo Qu, Shufeng Liang, Luyan Shi, Min Zhang and Haiyan Jia ()
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Lu Han: The School of Public Administration and Management, Shandong University of Finance and Economics, Jinan 250014, China
Yanbo Qu: The School of Public Administration and Management, Shandong University of Finance and Economics, Jinan 250014, China
Shufeng Liang: The School of Public Administration and Management, Shandong University of Finance and Economics, Jinan 250014, China
Luyan Shi: The School of Public Administration and Management, Shandong University of Finance and Economics, Jinan 250014, China
Min Zhang: The School of Public Administration and Management, Shandong University of Finance and Economics, Jinan 250014, China
Haiyan Jia: The School of Public Administration and Management, Shandong University of Finance and Economics, Jinan 250014, China

Land, 2024, vol. 13, issue 11, 1-21

Abstract: Land ecological security (LES) is a crucial issue pertaining to the sustainability of landscapes or land systems. Nevertheless, previous studies largely neglected the impacts of landscape structure on LES. This study, taking the Yellow River Delta (YRD) as the case area, analyzed the spatiotemporal differentiation patterns of regional LES in 19 counties (cities and districts) from 2000 to 2020 through the application of landscape metrics and employed GeoSOS-FLUS to forecast the landscape structure and corresponding land ecological security in 2030 under four different scenarios to advance sustainability. The results show that, first, landscape fragmentation and irregularity are decreasing, while aggregation and connectivity are increasing. The primary landscape change involves the transition from farmland to developed areas. Second, the LES index is rising. In 2020, about 73.68% of the research units reached level IV, while most were at level III. Third, it is projected that by 2030, the LES index will rise under all scenarios, exhibiting an eastward-declining gradient in its geographic distribution, with higher values prevailing in the eastern regions and gradually tapering off towards the west. It is expected that in the business-as-usual scenario, the proportion of LES reaching level V will be the highest. This study not only reveals the impact mechanism of the landscape structure on land ecological security but also provides an important basis for formulating scientific and rational land use planning and management strategies from the perspectives of sustainable land governance and sustainable land use.

Keywords: sustainable development; land ecological security; multi-scenario simulation; landscape structure; Yellow River Delta (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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