Spatiotemporal dynamic process of land use conflicts and multi-scenario simulation —A case study in Wuhu City, Anhui Province

Bai Qingyang; Cheng Jiumiao; Cheng Chao; Wu Jiuxing

doi:10.13961/j.cnki.stbctb.2025.01.019

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Spatiotemporal dynamic process of land use conflicts and multi-scenario simulation —A case study in Wuhu City, Anhui Province

- Spatiotemporal dynamic process of land use conflicts and multi-scenario simulation —A case study in Wuhu City, Anhui Province
- Bulletin of Soiland Water Conservation Vol. 45, Issue 1, Pages: 178-189(2025)
- 作者机构：
  
  安徽师范大学地理与旅游学院,安徽,芜湖,241000
- 作者简介：
- 基金信息：
- DOI：10.13961/j.cnki.stbctb.2025.01.019
  CLC： F301.24
- Published：2025
- 稿件说明：
移动端阅览
Bai Qingyang, Cheng Jiumiao, Cheng Chao, et al. Spatiotemporal dynamic process of land use conflicts and multi-scenario simulation —A case study in Wuhu City, Anhui Province[J]. Bulletin of Soiland Water Conservation, 2025, 45(1): 178-189.
DOI：

Bai Qingyang, Cheng Jiumiao, Cheng Chao, et al. Spatiotemporal dynamic process of land use conflicts and multi-scenario simulation —A case study in Wuhu City, Anhui Province[J]. Bulletin of Soiland Water Conservation, 2025, 45(1): 178-189. DOI： 10.13961/j.cnki.stbctb.2025.01.019.

摘要

[目的] 探讨土地利用冲突的演变过程及其形成变化机制，为促进区域土地利用冲突缓解、优化区域土地资源配置提供理论依据。[方法] 基于时空动态过程，从景观格局视角构建土地利用冲突识别模型，诊断芜湖市2000，2005，2010，2015和2020年5期土地利用冲突状况。基于贝叶斯时空层次模型和最优化地理探测器构建土地利用冲突时空动态过程形成机制框架，识别芜湖市土地利用冲突时空动态过程及形成机制。结合PLUS模型对芜湖市2030年土地利用进行多情景模拟预测。[结果] ①研究期内，芜湖市土地利用冲突水平呈现波动上升趋势，土地利用冲突空间格局主要呈现“南高北低，以长江为轴线不断扩展”，其局部变化热点分布集中于城乡交错区以及农业空间与生态空间交互区。②高程、坡度、距道路距离以及距水系距离等因素是芜湖市土地利用冲突格局形成的主要影响因素，而GDP和人口分布对于土地利用冲突形成的解释力度相对较小。③不同情景下土地利用冲突格局仍将延续前期变化，其中耕地保育和生态保护情景可以有效缓解土地利用冲突的形成，需在管理过程中维护农业、生态和经济发展之间的平衡。[结论] 芜湖市土地利用冲突呈现不断强化态势，其中社会发展对其影响程度不断深化，未来仍需因地制宜强化国土空间用途管制，提升土地利用节约集约水平，实现高质量发展。

Abstract

[Objective] The evolution process of land use conflict and its formation and change mechanisms were explored to promote the alleviation of regional land-use conflict and optimize the allocation of regional land resources. [Methods] Based on a spatiotemporal dynamic process

a model for identifying land-use conflicts developed from a landscape pattern perspective was applied to diagnose land-use conflict situations across five periods (2000

2005

2010

2015

and 2020) in Wuhu City

Anhui Province. By integrating the Bayesian hierarchical spatiotemporal model and the optimal parameter-based geographical detector

a framework was established to understand the formation mechanisms of the spatiotemporal dynamics of land-use conflicts

identifying the spatiotemporal dynamics and driving forces of land use conflicts in Wuhu City. The PLUS model was applied to conduct multi-scenario simulations and conflict mitigation analyses for land use in Wuhu City in 2030. [Results] ① Over the study period

the level of land-use conflicts in Wuhu City fluctuated upward

with the spatial pattern predominantly displaying a higher conflict density in the south and lower in the north

continuously expanding along the Changjiang River axis. Hotspots of local variation were concentrated in the urban-rural fringe areas

where agricultural and ecological spaces intersected. ② Land-use conflict patterns in Wuhu City were primarily formed by factors such as elevation

slope

proximity to roads

and distance from water systems

while GDP and population distribution had less influence on land-use conflict formation. ③ The pattern of land-use conflicts was expected to persist under different scenarios; notably

scenarios focused on farmland conservation and ecological protection could effectively mitigate the emergence of land-use conflicts

and the balance between agriculture

ecology and economic development should be maintained in the management process. [Conclusion] Land-use conflict in Wuhu City is constantly strengthening with the impact of deepening social development. In the future

it is still necessary to strengthen the control of land use according to local conditions

improve the level of land use conservation and intensive

and achieve high-quality development.

关键词

Keywords

references

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