典型旅游城市社会-生态系统的弹性研究——以湖南省张家界市为例

贺小荣; 刘源; 阴姣姣

doi:10.13961/j.cnki.stbctb.2022.01.034

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典型旅游城市社会-生态系统的弹性研究——以湖南省张家界市为例

试验研究

- 典型旅游城市社会-生态系统的弹性研究——以湖南省张家界市为例
- Resilience of Social-ecological Systems of Typical Tourist Cities -A Case Study of Zhangjiajie City, Hu’nan Province
- 水土保持通报 2022年42卷第1期页码：259-266
- 作者机构：
  
  1. 湖南师范大学旅游学院,湖南,长沙,410081
  2. 华中师范大学城市与环境科学学院,湖北,武汉,430079
- 作者简介：
- 基金信息：
  
  湖南省教育厅重点项目“自然遗产旅游地应对气候变化的策略研究”(18A019)
- DOI：10.13961/j.cnki.stbctb.2022.01.034
  中图分类号： K902
- 纸质出版：2022
- 稿件说明：
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贺小荣, 刘源, 阴姣姣. 典型旅游城市社会-生态系统的弹性研究——以湖南省张家界市为例[J]. 水土保持通报, 2022,42(1):259-266.

He Xiaorong, Liu Yuan, Yin Jiaojiao. Resilience of Social-ecological Systems of Typical Tourist Cities -A Case Study of Zhangjiajie City, Hu’nan Province[J]. Bulletin of Soiland Water Conservation, 2022, 42(1): 259-266.
贺小荣, 刘源, 阴姣姣. 典型旅游城市社会-生态系统的弹性研究——以湖南省张家界市为例[J]. 水土保持通报, 2022,42(1):259-266. DOI： 10.13961/j.cnki.stbctb.2022.01.034.

He Xiaorong, Liu Yuan, Yin Jiaojiao. Resilience of Social-ecological Systems of Typical Tourist Cities -A Case Study of Zhangjiajie City, Hu’nan Province[J]. Bulletin of Soiland Water Conservation, 2022, 42(1): 259-266. DOI： 10.13961/j.cnki.stbctb.2022.01.034.

摘要

[目的] 对典型旅游城市湖南省张家界市社会—生态系统弹性特征及主要障碍因子进行分析，为张家界市可持续发展提供理论依据。[方法] 基于社会、经济、生态3个子系统和脆弱性、应对能力两个方面构建张家界市社会—生态系统弹性评价体系，运用集对分析法和障碍度模型对2010—2019年的弹性变化特征及主要障碍因子进行分析。[结果] ①张家界市社会—生态系统脆弱性指数从0.457 0上升到0.553 5，应对能力指数从0.229 5上升到0.769 4，弹性指数从0.378 8上升到0.627 6。②影响总系统弹性的主要障碍因子有第三产业就业比重等8项，子系统平均障碍度从高到低依次为：社会子系统、经济子系统、生态子系统。[结论] ①张家界社会—生态系统弹性指数虽然不断上升，但始终处于中等弹性阶段，有待进一步提高。②单项因子和子系统的障碍度在不断变化，要监测好其变化趋势并及时调整应对措施。

Abstract

[Objective] The resilience and main obstacle factors of the social-ecological system in Zhangjiajie City

a typical tourist city

in Hu’nan Province were analyzed to provide a theoretical basis for the sustainable development of Zhangjiajie City. [Methods] An evaluation system of the social-ecological system resilience of Zhangjiajie City was constructed based on three subsystems (social

economic

and ecological) and two aspects (vulnerability and response capacity). The characteristics of resilience changes and the main obstacle factors from 2010 to 2019 were analyzed using the set-pair analysis method and an obstacle degree model. [Results] ① The social-ecological system vulnerability index of Zhangjiajie City increased from 0.457 0 to 0.553 5

response capacity index increased from 0.229 5 to 0.769 4

and resilience index increased from 0.378 8 to 0.627 6. ② There were eight main obstacle factors affecting the resilience of the entire system

such as the proportion of employment in the tertiary industry. The average obstacle degree of the subsystems was greatest for the social subsystem

followed by the economic subsystem and then the ecological subsystem. [Conclusion] ① Although the resilience index of the social-ecological system of Zhangjiajie City was increasing

it currently remains in the middle resilience stage and needs further improvement. ② The obstacle degree of single factor and subsystems changes constantly

so it is necessary to monitor the trends of changes in order to adjust the countermeasures in a timely manner.

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references

World Economic Forum, 2020. The Global Risks Report 2020[EB/OL] (2020-01-15)[2021-07-02]. https://www.weforum.org/reports/the-global-risks-report-2020.

Holling C S. Understanding the complexity of Economic, Ecological, and Social Systems[J]. Ecosystems, 2001,4(5):390-450.

Adger W N. Institutional adaptation to environmental risk under the transition in Vietnam[J]. Annals of the Association of American Geographers, 2000,90(4):738-758.

Ruiz-Ballesteros E. Social-ecological resilience and community-based tourism:An approach from Agua Blanca, Ecuador[J]. Tourism Management, 2011,32(3):655-666.

彭少麟.发展的生态观:弹性思维[J].生态学报,2011,31(19):5433-5436.

王群,陆林,杨兴柱.国外旅游地社会-生态系统恢复力研究进展与启示[J].自然资源学报,2014,29(5):894-908.

杨秀平,贾云婷,翁钢民,等.城市旅游环境系统韧性的系统动力学研究:以兰州市为例[J].旅游科学,2020,34(2):23-40.

Díaz-Aguilar A L, Escalera-Reyes J. Family relations and socio-ecological resilience within locally-based tourism:The case of EL Castillo(Nicaragua)[J]. Sustainability, 2020,12(15):5886.

Weis K, Chambers C, Holladay P J. Social-ecological resilience and community-based tourism in the commonwealth of Dominica[J]. Tourism Geographies, 2021,23(3):458-478.

García-Jácome L G, García-Frapolli E, Bonilla-Moheno M, et al. Multiple resource use strategies and resilience of a socio-ecosystem in a natural protected area in the Yucatan Peninsula, Mexico[J]. Frontiers in Sustainable Food Systems, 2020,4:522657.

Kutzner D. Environmental change resilience, and adaptation in nature-based tourism:Conceptualizing the social-ecological resilience of birdwatching tour operations[J]. Journal of Sustainable Tourism, 2019,27(8):1142-1166.

张家界统计局.张家界统计年鉴[M].北京:中国统计出版社,2020.

夏赞才.张家界现代旅游发展史研究[D].湖南长沙:湖南师范大学,2004.

王群,陆林,杨兴柱.千岛湖社会-生态系统恢复力测度与影响机理[J].地理学报,2015,70(5):779-795.

唐波,肖欣.粤北山区社会-生态-经济系统恢复力及其协调度[J].水土保持通报,2020,40(5):218-226.

胡蒙蒙,张军民,黄锦楼.鄂尔多斯社会-生态系统恢复力评价及驱动机制研究[J].水土保持研究,2017,24(4):191-197.

展亚荣,盖美.滨海旅游地社会-生态系统恢复力测度及协调发展研究[J].地域研究与开发,2018,37(5):158-164.

李能斌.海岛旅游地社会-生态系统恢复力研究:以福建省东山岛为例[D].福建泉州:华侨大学,2017.

赵克勤.集对分析对不确定性的描述和处理[J].信息与控制,1995,24(3):162-166.

郑华伟,夏梦蕾,张锐.基于熵值法和灰色预测模型的耕地生态安全诊断[J].水土保持通报,2016,36(3):284-289.

孔伟,任亮,刘璐.京津冀生态涵养区旅游地社会-经济-生态系统脆弱性特征及其影响因素[J].水土保持通报,2020,40(4):211-218.

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