Multi-Scenario Simulation of Land Use/Land Cover Change in a Mountainous and Eco-Fragile Urban Agglomeration: Patterns and Implications
Rapid urbanization within ecologically fragile mountainous regions exacerbates tensions between development needs and land use sustainability, yet few studies have systematically quantified long-term land use/land cover (LULC) dynamics in large-scale mountainous urban agglomerations. Focusing on the Chengdu–Chongqing Urban Agglomeration (CCUA) in Southwest China—an archetypal mountainous megaregion undergoing accelerated development—this study analyzed LULC evolution from 1985 to 2019 using multi-period data, identified dominant driving factors through logistic regression, and projected future LULC patterns under various scenarios via the Future Land Use Simulation (FLUS) model. The outcomes indicate that (1) over the past decades, construction land expanded by over 4000 km2, an increase of about 318%, while cultivated land decreased by nearly 8600 km2, a reduction of 6.86%; (2) the dominant transformation type was the conversion of cultivated land to forest, followed by its conversion to construction land; (3) elevation, slope, and average annual temperature emerged as significant predictors of LULC change, highlighting the critical influence of topographical and climatic conditions; and (4) natural development scenarios (NDS) and ecology and cultivated protection scenarios (ECPS) represent suitable development pathways. These findings contribute to evidence-based spatial governance and provide policy guidance for ecological protection in the CCUA and other similarly vulnerable areas.
Authors
- Laleh Dehghanifarsani (ORCID: https://orcid.org/0009-0002-8705-1793)
- Majid Amani-Beni (ORCID: https://orcid.org/0000-0001-6611-9723)
- Yang Chen (ORCID: https://orcid.org/0000-0002-9696-006X)
Institutions
- Southwest Jiaotong University (CN)
Publication Details
- Journal
- Land
- Published
- 2025-09-02
- DOI
- https://doi.org/10.3390/land14091787
- Primary Topic
- Land Use and Ecosystem Services
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China