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陕南秦巴山区乡村旅游发展与生态系统服务权衡/协同关系的交互作用研究

Study on the interactive effects between rural tourism development and ecosystem service trade-offs/synergies in the Qinba Mountains of Southern Shaanxi

  • 摘要: 明晰乡村旅游发展对生态系统服务(ES)权衡/协同关系的影响,对协调生态保护与区域可持续发展具有重要意义。本文以陕南秦巴山区为例,基于2012、2017、2022年数据,综合运用InVEST模型、Pearson相关系数和均方根误差(RMSE)评估ES及其权衡/协同关系的时空变化,通过兴趣点(POI)核密度分析刻画乡村旅游时空分布,采用地理收敛交叉映射模型(GCCM)揭示二者交互作用与演化机制。结果表明,2012—2022年乡村旅游与ES权衡/协同关系间的交互作用逐渐增强,从初期单向影响发展为双向反馈,耦合强度持续升级。2012年乡村旅游开发强度较低,但已显著影响产水量与生境质量间的协同关系,生态效应显现;2017年乡村旅游的单向影响扩展至产水量-土壤保持、土壤保持-生境质量,且在产水量-生境质量、碳固存-生境质量关系中出现双向反馈,并最终显现生态资源导向;2022年反馈机制进一步深化,土壤保持-生境质量、碳固存-生境质量同乡村旅游的交互作用转变为生态资源驱动,乡村旅游对ES权衡/协调关系的影响范围持续扩展至四组。本研究可为重点生态功能区乡村旅游与生态环境协调管理提供科学依据。

     

    Abstract: Clarifying the impact of rural tourism development on the trade-offs and synergies of ecosystem services (ES) is crucial for balancing ecological protection and regional sustainable development. Taking the Qinba Mountain Area in southern Shaanxi Province as a case study, this paper uses data from 2012, 2017, and 2022. The InVEST model, Pearson correlation coefficient, and root mean square error (RMSE) were integrated to evaluate the spatiotemporal variations of ES and their trade-offs/synergies. The spatiotemporal distribution of rural tourism was characterized using kernel density analysis of Points of Interest (POI), and the Geographical Convergent Cross Mapping (GCCM) model was employed to reveal their interactive effects and evolutionary mechanisms. The results show that from 2012 to 2022, the interaction between rural tourism and ES trade-offs/synergies continuously strengthened, evolving from an initial unidirectional influence into a bidirectional feedback relationship, with a steady increase in coupling intensity. In 2012, although the development intensity of rural tourism was low, it already exerted a significant effect on the synergy between water yield and habitat quality, indicating an emerging ecological effect. By 2017, the unidirectional influence of rural tourism extended to the relationships between water yield–soil conservation and soil conservation–habitat quality, while bidirectional feedback appeared in the relationships between water yield–habitat quality and carbon sequestration–habitat quality, reflecting the deepening of the feedback mechanism and the emergence of an ecological resource orientation. In 2022, the feedback mechanism further intensified: the interactions between rural tourism and the relationships of soil conservation–habitat quality and carbon sequestration–habitat quality transformed into an ecological resource-driven model, and the scope of rural tourism’s influence on ES trade-offs/synergies expanded to four pairs. This study provides a scientific basis for the coordinated management of rural tourism and the ecological environment in key ecological function zones.

     

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