黄河流域旅游生态安全评价及其驱动机制——基于开放系统理论和DPSIR模型

Xiaorong He, Chaoyue Cai, Jizhi Shi
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引用次数: 5

摘要

旅游生态安全关系到生态系统的良性循环和可持续发展,特别是在生态系统脆弱的江河流域,旅游生态安全已逐渐成为一个前沿课题。基于驾驶员-压力-状态-影响-响应(DPSIR)模型和开放系统理论,构建了黄河流域TES评价体系。然后,对2004 - 2019年的TES指数进行测度,分析其时空特征及驱动机制。结果表明:(1)从时间演化上看,TES综合指数呈现稳定上升趋势,但城市间差异随着时间的推移而增大;此外,低水平城市的比例迅速下降,而高水平城市的比例增长缓慢。②从空间上看,低tes值城市始终占多数,高tes值城市空间分布较为分散,以沿江城市居多。2013年以前TES在空间上是随机分布的,2013年以后TES表现出显著的正空间聚类特征。具体来说,热点的范围从中上游的交汇处一直延伸到下游,而冷点总是分散的。东西向的趋势面始终是平滑的,而南北向的趋势面逐渐呈现倒u型。(3)在动态转移中,TES缺乏转移的活力,但与更高级别城市相邻时,向上移动的概率更显著;与排名较低的城市相邻时,情况正好相反。(4)在驱动机制上,旅游相关因素和经济相关因素是最重要的驱动力,旅游相关因素对TES的影响越来越显著。并构建了驱动机制。最后,本研究提出了有针对性的政策建议,对长江区生态保护和高质量旅游的发展具有参考价值。
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Evaluation of Tourism Ecological Security and Its Driving Mechanism in the Yellow River Basin, China: Based on Open Systems Theory and DPSIR Model
Tourism ecological security (TES) has gradually become a frontier topic because it is related to the virtuous circle of ecosystems and sustainable development, especially in river basins with fragile ecosystems. Based on the Driver–Pressure–State–Impact–Response (DPSIR) model and open systems theory, we constructed a TES evaluation system in the Yellow River Basin (YRB), China. Then, the TES index was measured from 2004 to 2019 and its spatio-temporal characteristics and driving mechanism were analyzed. The results show that: (1) In terms of temporal evolution, the comprehensive TES index shows a steady upward trend, but the difference between cities increases over time. Moreover, the proportion of cities with low status levels of TES declined rapidly, while the proportion of cities with high status levels of TES has grown slowly. (2) Spatially, low-TES value cities have always been in the majority, and the high-value cities show a scattered spatial distribution, most of which are along the river. Moreover, TES is randomly distributed in space before 2013, but it shows a significant positive spatial clustering feature thereafter. Specifically, the range of hot spots extends from the intersection of the middle and upper reaches to downstream, while the cold spots are always scattered. Furthermore, the trend surface in the east–west direction is always smooth, while it gradually manifests an inverted U-shape in the north–south direction. (3) In the dynamic transfer, TES lacks the vitality of transfer, but the probability of shifting upward becomes more significant when adjacent to higher-level cities; the opposite is true when adjacent to lower-ranked cities. (4) In terms of the driving mechanism, the factors related to tourism and the economy are the most important driving forces, and the effect of tourism-related factors on TES is becoming increasingly significant. Moreover, the driving mechanism is constructed. Finally, this study provides targeted policy implications for improving TES in the YRB, which has reference value for the development of ecological protection and high-quality tourism.
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