Integrating Ecological Security Pattern and Sustainable Development Goals
A Multi‐Scale Framework for Arid Cities
Bibliographic Data
| ID | 21647451 |
|---|---|
| Authors | Cai Liping (School of Geography and Tourism Qufu Normal University Rizhao China), Wang Chunjuan (School of Geography and Tourism Qufu Normal University Rizhao China), Wang Chun-juan (Qufu Normal University), Xue Fei (School of Environmental and Geographical Sciences Shanghai Normal University Shanghai China), Lishan Xiao (0000-0001-7090-4599, Shanghai Normal University), Xiao Lishan (School of Environmental and Geographical Sciences Shanghai Normal University Shanghai China), Yi'na Hu (0000-0002-2358-7831, School of Environmental and Geographical Sciences Shanghai Normal University Shanghai China, corresponding author) |
| Year | 2026 |
| Volume | 37 |
| Issue | 2 |
| Pages | 489-502 |
| Publication date | 2026-01-30 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Land Degradation and Development (JOURNAL) |
| Journal identifiers | ISSN: 1085-3278 • E-ISSN: 1099-145X |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1002/ldr.70121 |
| OpenAlex | W4413241134 |
| Language | EN |
| References cited | 76 |
Ecological Security Pattern (ESP) coordinates urban expansion and ecological protection. Previous single‐scale ESP studies ignored the differences between regional and local conservation needs, resulting in policy conflicts across administrative scales. This study proposed a multi‐scale ESP framework with Zhangye, a typical arid city, as the study area. Guided by the United Nations Sustainable Development Goals (SDGs), relevant ecosystem services (ESs) were selected and ecological sources were identified at both city and county scales. A multi‐scale integration was then proposed to classify ecological sources into hierarchical scales. Subsequently, the aridity index was applied to modify the resistance surface, and the circuit theory model was employed to quantify ecological corridors and strategic points. The results showed that the ecological sources in Zhangye spanned 18,367.93 km 2 , occupying 47.6% of the city's total area. Among them, the first‐level source area covered 12,674.73 km 2 (69%), the second level covered 2274.05 km 2 (12.38%) and the third level covered 3419.15 km 2 (18.62%). Notably, 31% of these ecological sources exhibited scale‐dependent variations in their protection requirements. In total, 35 ecological corridors were delineated, totaling 211.65 km. These included 11 at the first level, 7 at the second level, and 17 at the third level, along with 11 pinch points and 41 ecological barriers. Finally, the ESP was optimized into a “three zones and three belts” spatial pattern, and targeted suggestions were proposed for the ecological planning of Zhangye. This study demonstrated an effective approach to harmonizing macro‐regional conservation objectives with micro‐local ecological protection needs, providing a transferable solution for inter‐regional planning challenges
Arid · Cartography · Ecosystem · Environmental resource management · Geography · Spatial ecology · Sustainable development · Environmental Science · Land Use and Ecosystem Services · Urban Green Space and Health · Wildlife-Road Interactions and Conservation · Ecology
Management research and the UN sustainable development goals (SDGs)
Modeling multiple ecosystem services, biodiversity conservation, commodity production, and tradeoffs at landscape scales
Model development for the assessment of terrestrial and aquatic habitat quality in conservation planning
Optimization Strategies for Ecological Security Pattern Based on the Remote Sensing Ecological Index in Yunnan Province, China
Integrating spatial continuous wavelet transform and kernel density estimation to identify ecological corridors in megacities
Construction of Ecological Security Patterns Based on Circuit Theory under the Resistance Distance Principle
| Citation velocity | historical |
|---|---|
| Highly cited | No |