Administrative Fragmentation Distorts Ecological Networks: Mechanisms, Scale Effects, and Optimization Paths

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Authors: Xuan Zhang, Yingxin Teng, Wenjing Fu, Junfeng Lou, Abdul Basir, Shengbin Chen
Cited by: 1
References: 66

Abstract

Administrative fragmentation, whereby political boundaries are used as analytical extents, can disrupt ecological flows and weaken ecological network planning by creating a mismatch between governance units and ecological processes. However, the pathways through which such fragmentation alters network structure and function remain insufficiently quantified. This study quantifies these effects and identifies the landscape conditions that shape the effectiveness of cross-boundary integration. Using a multi-scale buffer experiment (1–32 km) across 30 representative counties in China, we constructed ecological networks based on Morphological Spatial Pattern Analysis and on the minimum cumulative resistance model. Results show that relaxing administrative boundaries reduced structural distortions and lowered total ecological flow cost, indicating that fragmentation increases connectivity costs. Mechanistically, reducing redundant internal links and forced detours improved network efficiency mainly by shortening corridors and lowering flow costs, whereas mean corridor resistance changed little. This suggests that functional degradation is driven primarily by topological disruption rather than by declines in corridor quality. The benefits of cross-boundary integration were greater in counties with regular shapes, high grassland cover, humid climates, and rugged terrain, but weaker under strong human pressure and warmer temperatures. Improvements leveled off beyond 32 km, suggesting a 32 km buffer (study-specific) for integration and supporting context-specific strategies for ecological network planning.

Fields of Study & Subjects

Land Use and Ecosystem Services Wildlife-Road Interactions and Conservation Conservation Biodiversity and Resource Management

Publication details

Journal / source
Forests
Publisher
MDPI AG
Volume
17
Issue
5
Pages
611–611
Publication date
18 May 2026
Language
EN