Evidence map›Paper›PMID 41136500›Full record

ArticleScientific reports2025

Reconstruction of Indigenous settlements in ecologically fragile areas through spatial distribution patterns and suitability in Xiaoliangshan, SW China.

Yi-Won Addi, Mengran Li, Xinan Chen, Linlin Yao, Lin Zhu, Yuanli Liu, Heping Liao

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Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Yi-Won Addi *School of Geographical Science, Southwest University, Chongqing, 400715, China.
Mengran Li *School of Geographical Science, Southwest University, Chongqing, 400715, China.
Xinan ChenSchool of Geographical Science, Southwest University, Chongqing, 400715, China.
Linlin YaoSchool of Geographical Science, Southwest University, Chongqing, 400715, China.
Lin ZhuCollege of State Governance, Southwest University, Chongqing, 400715, China.
Yuanli LiuSchool of Business and Management, Chongqing Technology and Business University, Chongqing, 400067, China.
Heping LiaoSchool of Geographical Science, Southwest University, Chongqing, 400715, China. 1260399363@qq.com.

Funding

National Social Science Fund Youth Project: A Study on the Theoretical Exposition, Level Measurement and Path Optimization of Residential-Occupational Coordination in Relocation Communities in Ethnic Regions of Southwest China No. 24CMZ050Western Project of the National Social Science Foundation: Research on the Innovation of Regularized Support Mechanism and Policy Optimization for Rural Low-income Population in Southwest Ethnic Areas No. 24XMZ033
6 · The paper itself

Abstract

Indigenous settlements in ecologically fragile mountainous areas are increasingly challenged by fragmented land use, environmental constraints, and cultural marginalization. Using Xiaoliangshan in Southwest China as a case study, this research proposes a spatial optimization framework integrating Suitability evaluation and ant colony-based simulation. The results reveal that high-density settlement zones (> 50 units/km²) concentrate in central plateau basins, contrasting with low-density zones (< 10 units/km²) in steep western regions. Suitability analysis shows high and moderate-high suitability zones, limited to 15.0% of the area, due to ecological and terrain constraints. Model optimization results show that Scenario 7 achieves a utility value of 0.448 by relocating settlements from unsuitable Jinsha River valleys and steep western zones to unified, high-suitability clusters in Xiaoliangshan's 15 township basins (elevation 2000-2600 m, slope < 5°), avoiding ecological reserves and hazards while enhancing infrastructure access and land-use efficiency. Based on these results, a three-tier "Suitability-Ecology-Benefit" synergistic mechanism was proposed, incorporating ecological zoning, tradable ecological quotas guided by shadow pricing, and participatory community planning. The core contribution of this study is to bridge computational optimization and equitable governance by providing a replicable planning tool and a novel method for adaptive planning in socio-ecologically constrained indigenous regions.

Indexed as

Ecological fragilityIndigenous peopleSettlementSpatial optimizationSuitability zoningSustainable landscapes

Identifiers

PMID41136500
PMCPMC12552482

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