Identifying priority restoration areas based on ecological security pattern: implications for ecological restoration planning

• The priority areas of ecological restoration were identified by constructing the ecological security pattern. • The ecological restoration planning strategies for priority restoration areas were proposed at three scales: macro, meso and micro. • Provide new ideas for the ecological source identification and the corridor extraction of ecological security pattern. • Determine the appropriate width of ecological corridors in the study area. The rapid urbanization has exacerbated the deterioration of the ecological environment and the destruction of ecosystem services. Maintaining regional ecological security and enhancing ecosystem stability greatly depend on ecological restoration of territorial space. Scientific identification of priority areas for ecological restoration and rational planning of ecological restoration space have gradually become the research hotspot and the vital issues to be solved. Taking the region around Chaohu Lake as an example, this study combined morphological spatial pattern analysis (MSPA), ecosystem service value (ESV) evaluation and circuit theory to construct ecological security pattern and identify the priority ecological restoration areas. The results showed that: (1) The ecological sources covered an area of 1038.33 km 2 , dominated by forests and water bodies, which were mainly distributed in the southeast and northwest of the study area. (2) There were 135 ecological corridors with a total length of 1632.21 km, primarily locating in the ecological resources concentration area, and had formed a closely connected ecological network. (3) The priority restoration areas consisted of 47 ecological pinch points, 37 ecological barrier points, and 45 ecological breakpoints, with a total area of 9.53 km 2 . (4) The ecological restoration planning strategies for priority restoration areas were proposed at three scales (macro, meso, and micro), based on the spatial distribution characteristics of key ecological areas and their land use status. Our study helps to provide important insights and decision support for the future ecological restoration planning and ecological resource sustainable development.

Authors

Institutions

Publication Details

Journal
Ecological Indicators
Published
2025-04-14
DOI
https://doi.org/10.1016/j.ecolind.2025.113486
Citations
19
Primary Topic
Land Use and Ecosystem Services
Type
article
Field-Weighted Citation Impact
21.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Identifying priority restoration areas based on ecological security pattern: implications for ecological restoration planning

Choong Seon Hong, Wenting Duan, Wei Min, Haodong Jin et al.
19 citations
Ecological Indicators
Land Use and Ecosystem Services
21.00
article

Identifying priority restoration areas based on ecological security pattern: implications for ecological restoration planning

Choong Seon Hong, Wenting Duan, Wei Min, Haodong Jin, Rui Zhou, Yingying Li, Yongsheng Chen, Qiuyue Li
article en
19 citations

Abstract

• The priority areas of ecological restoration were identified by constructing the ecological security pattern. • The ecological restoration planning strategies for priority restoration areas were proposed at three scales: macro, meso and micro. • Provide new ideas for the ecological source identification and the corridor extraction of ecological security pattern. • Determine the appropriate width of ecological corridors in the study area. The rapid urbanization has exacerbated the deterioration of the ecological environment and the destruction of ecosystem services. Maintaining regional ecological security and enhancing ecosystem stability greatly depend on ecological restoration of territorial space. Scientific identification of priority areas for ecological restoration and rational planning of ecological restoration space have gradually become the research hotspot and the vital issues to be solved. Taking the region around Chaohu Lake as an example, this study combined morphological spatial pattern analysis (MSPA), ecosystem service value (ESV) evaluation and circuit theory to construct ecological security pattern and identify the priority ecological restoration areas. The results showed that: (1) The ecological sources covered an area of 1038.33 km 2 , dominated by forests and water bodies, which were mainly distributed in the southeast and northwest of the study area. (2) There were 135 ecological corridors with a total length of 1632.21 km, primarily locating in the ecological resources concentration area, and had formed a closely connected ecological network. (3) The priority restoration areas consisted of 47 ecological pinch points, 37 ecological barrier points, and 45 ecological breakpoints, with a total area of 9.53 km 2 . (4) The ecological restoration planning strategies for priority restoration areas were proposed at three scales (macro, meso, and micro), based on the spatial distribution characteristics of key ecological areas and their land use status. Our study helps to provide important insights and decision support for the future ecological restoration planning and ecological resource sustainable development.

Ecological IndicatorsVol. 174
Shanghai Polytechnic University (CN), Anhui Agricultural University (CN), Donghua University (CN), Shanghai Normal University (CN)
Anhui Provincial Department of Housing and Urban-Rural Development, Shanghai Office of Philosophy and Social Science, Humanities and Social Sciences Youth Foundation, Ministry of Education of the People's Republic of China
Life in Land
Openalex Percentile: Top 0%
Land Use and Ecosystem Services
21.00
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.