地理科学进展

地理科学进展 ›› 2022, Vol. 41 ›› Issue (10): 1819-1832.doi: 10.18306/dlkxjz.2022.10.004

• 研究论文 • 上一篇    下一篇

山区乡村地域系统韧性测度及影响因素研究——以大别山区罗田县为例

资明贵1,2(), 周怡1,2, 罗静1,2, 张春燕1,2,*(), 高子翔1,2   

  1. 1.华中师范大学地理过程分析与模拟湖北省重点实验室,武汉 430079
    2.华中师范大学城市与环境科学学院,武汉 430079
  • 收稿日期:2022-03-24 修回日期:2022-06-21 出版日期:2022-10-28 发布日期:2022-12-28
  • 通讯作者: *张春燕(1983— ),女,湖北松滋人,博士,讲师,硕士生导师,研究方向为旅游社会学、旅游地理与乡村发展。E-mail: rhea@ccnu.edu.cn
  • 作者简介:资明贵(1998— ),男,湖南耒阳人,硕士生,研究方向为乡村地理与旅游地理。E-mail: minggui@mails.ccnu.edu.cn
  • 基金资助:
    国家自然科学基金项目(42271228);国家自然科学基金项目(42101209);国家自然科学基金项目(41871176);湖北省自然科学基金项目(2021CFB534)

Measurement and influencing factors of rural regional system resilience in mountainous areas: A case study of Luotian County in the Dabie Mountains

ZI Minggui1,2(), ZHOU Yi1,2, LUO Jing1,2, ZHANG Chunyan1,2,*(), GAO Zixiang1,2   

  1. 1. Key Laboratory for Geographical Process Analysis & Simulation of Hubei Province, Central China Normal University, Wuhan 430079, China
    2. College of Urban and Environmental Sciences, Central China Normal University, Wuhan 430079, China
  • Received:2022-03-24 Revised:2022-06-21 Online:2022-10-28 Published:2022-12-28
  • Supported by:
    National Natural Science Foundation of China(42271228);National Natural Science Foundation of China(42101209);National Natural Science Foundation of China(41871176);Natural Science Foundation of Hubei Province(2021CFB534)

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摘要：

韧性理论是可持续性科学的核心议题之一,微观尺度视域下乡村地域系统与韧性理论的结合是对乡村振兴战略的回应与思考。论文构建山区乡村地域系统风险—韧性(R-PAT)模型,运用熵值法、地理探测器等方法对大别山区罗田县68个样本村的系统韧性进行测度并分析其空间格局,识别村域单元R-PAT类型后,剖析山区乡村地域系统韧性水平空间分异的影响因素。研究发现：① 罗田县村域单元抵御能力、适应能力、转型能力及综合韧性指数差异显著,样本村综合韧性指数普遍不高但具有较大的提升潜力;② 依据韧性指数与风险指数的变化,山区乡村地域系统分为高风险—低韧性、高风险—高韧性、低风险—高韧性和低风险—低韧性4种类型,罗田县以高风险—低韧性型与低风险—低韧性型为主;③ 罗田县乡村地域系统韧性受多个因子影响,乡村内生动力是山区乡村地域系统韧性水平空间分异的关键性因素,乡村自然与社会本底是其基础性因素,乡村发展潜力是系统潜能持续提升、能力逐渐强化的推动性力量。研究旨在将韧性理论聚焦山区乡村微观单元,为山区乡村脱贫攻坚成果巩固与山区振兴提供可资借鉴的理论指导与案例支撑。

关键词: 山区, 乡村地域系统, 风险, 韧性, 大别山区罗田县

Abstract:

Resilience theory is one of the core topics of sustainability science. Integrating rural regional system and resilience theory at the micro-scale is a response and reflection to the rural revitalization strategy. By constructing a rural regional system risk-resilience (R-PAT) model in mountainous areas, this study examined the system resilience of 68 sample villages in Luotian County of the Dabie Mountains using entropy method, and analyzed its spatial patterns. After identifying the R-PAT type, the influencing factors of the spatial differentiation of the rural regional system resilience in mountainous areas were examined through geographical detector. The results show that: 1) There are significant differences in the resistance, adaptability, transformability, and comprehensive resilience index of villages in Luotian County. The comprehensive resilience index of the sample villages is not high in general and has great potential for improvement. 2) According to the changes of resilience index and risk index, the rural regional systems in mountainous areas are divided into four types: high risk-low resilience, high risk-high resilience, low risk-high resilience and low risk-low resilience. The high risk-low resilience type and low risk-low resilience type are dominant in Luotian County. 3) The resilience of rural regional system in Luotian County is affected by multiple factors. Rural endogenous power is the key factor for the spatial differentiation of resilience level of the area, rural natural and social backgrounds are the basic factors, and rural development potential is the driving force for the continuous improvement of the system potential and the gradual strengthening of the resilience capacity. This study focused on applying the resilience theory to the micro spatial units of mountainous rural areas to provide theoretical guidance and case support for the consolidation of poverty alleviation achievements in these areas and their revitalization.

Key words: mountainous areas, rural regional system, risk, resilience, Luotian County in the Dabie Mountains