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Article(id=1322926447391802042, tenantId=1146029695717560320, journalId=1322258771877134531, issueId=1322924153027834207, articleNumber=null, orderNo=null, doi=10.14067/j.cnki.1673-923x.2026.06.020, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1748793600000, receivedDateStr=2025-06-02, revisedDate=1755964800000, revisedDateStr=2025-08-24, acceptedDate=null, acceptedDateStr=null, onlineDate=1793339843842, onlineDateStr=2026-10-30, pubDate=1782316800000, pubDateStr=2026-06-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1793339843842, onlineIssueDateStr=2026-10-30, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1793339843842, creator=13701087609, updateTime=1793339843842, updator=13701087609, issue=Issue{id=1322924153027834207, tenantId=1146029695717560320, journalId=1322258771877134531, year='2026', volume='46', issue='6', pageStart='1', pageEnd='230', issueExtLink='null', onlineDate='null', pubDate='1782316800000', pubDateStr='2026-06-25', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1793339296824, creator='13701087609', updateTime=1793344680557, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1322946734422360158, tenantId=1146029695717560320, journalId=1322258771877134531, issueId=1322924153027834207, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1322946734422360159, tenantId=1146029695717560320, journalId=1322258771877134531, issueId=1322924153027834207, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=214, endPage=222, ext={EN=ArticleExt(id=1322926448272605884, articleId=1322926447391802042, tenantId=1146029695717560320, journalId=1322258771877134531, language=EN, title=Spatio-temporal evolution and driving factors of tourism ecological resilience in the Yangtze River economic belt, columnId=null, journalTitle=Journal of Central South University of Forestry & Technology, columnName=null, runingTitle=null, highlight=null, articleAbstract=
【Objective】

Tourism ecological resilience is an important indicator of the sustainable development capacity of the tourism ecosystem, and reveals the spatiotemporal evolution characteristics and driving factors, which is a reference basis for promoting the sustainable development of tourism.

【Method】

Based on adaptive capacity, resilience, and transformative potential, an evaluation index system for tourism ecological resilience was constructed. Using the entropy weight-TOPSIS method, exploratory spatial data analysis, standard deviation ellipses, and the geographic detector model, the spatiotemporal evolution and driving factors of tourism ecological resilience in the Yangtze River Economic Belt from 2014 to 2023 were analyzed.

【Result】

1) From 2014 to 2019, tourism ecological resilience showed a stable upward trend, while it exhibited a “W”-shaped pattern from 2019 to 2023, and the overall was low. There are significant spatial differences, with the distribution characterized by downstream regions>midstream regions>upstream regions. 2) The global autocorrelation of tourism ecological resilience is not significant, but local autocorrelation shows four types of clustering: high-high, high-low, low-high, and low-low. The number of districts with significant local autocorrelation has increased from 17 to 24. 3) The spatial discrete degree of tourism ecological resilience shows a pattern of contraction followed by expansion, with a clear directional trend. The azimuth angle expands each year, while the center of gravity remains largely stable. 4) Tourism resources, economic development, government regulation, and ecosystem resilience are the main factors influencing the spatiotemporal evolution of tourism ecological resilience in the Yangtze River economic belt.

【Conclusion】

The tourism ecological resilience is weak overall, and the spatial difference is obvious in the Yangtze River economic belt. Therefore, promoting the upgrading of the tourism industry, developing new tourism forms such as smart tourism and eco-tourism, increasing ecological protection and restoration, and implementing cross-regional tourism resource integration and optimal allocation are the key measures to enhance tourism ecological resilience.

, authors=Jiaxiong ZHANG, Yaqian ZHANG, Tingting QU, Meili LUO, Jianxin XIONG, authorsList=Jiaxiong ZHANG, Yaqian ZHANG, Tingting QU, Meili LUO, Jianxin XIONG, authorCompany=null, correspAuthors=Jianxin XIONG, authorNote=null, correspAuthorsNote=null, copyrightStatement=© 2026 Journal of Central South University of Forestry & Technology, copyrightOwner=Journal of Central South University of Forestry & Technology, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1322926449895801537, articleId=1322926447391802042, tenantId=1146029695717560320, journalId=1322258771877134531, language=CN, title=长江经济带旅游生态韧性时空演变及驱动因素, columnId=1322924336822231551, journalTitle=中南林业科技大学学报, columnName=生态旅游, runingTitle=null, highlight=null, articleAbstract=
【目的】

旅游生态韧性是衡量旅游生态系统可持续发展能力的重要标志，揭示其时空演变特征及驱动因素，为旅游业可持续发展提供参考依据。

【方法】

基于适应力、恢复力和转型潜力3个维度构建旅游生态韧性评价指标体系，运用熵权TOPSIS法、探索性空间数据分析法、标准差椭圆和地理探测器，分析2014—2023年长江经济带旅游生态韧性时空演变特征及驱动因素。

【结果】

1）2014—2019年旅游生态韧性呈现出稳定上升趋势，2019—2023年呈“W”形变化态势，且整体偏低；空间差异显著，呈现出下游地区>中游地区>上游地区的空间分布特征；2）旅游生态韧性的全局自相关不显著，局部自相关存在高-高、高-低、低-高和低-低4种集聚类型，显著的城市个数由17个增长为24个；3）旅游生态韧性的空间离散程度呈现出先收缩后扩大的态势，方向性明显，方位角逐年扩大，重心基本趋于稳定状态；4）旅游资源、经济发展、政府调控和生态弹性是驱动长江经济带旅游生态韧性时空演变的主要因素。

【结论】

长江经济带旅游生态韧性整体偏弱，空间差异明显。因此，推动旅游产业升级，发展智慧旅游和生态旅游等新型旅游业态，加大生态保护和修复力度，实施跨区域旅游资源整合和优化配置是提升旅游生态韧性的关键举措。

, authors=张家雄, 张雅倩, 瞿婷婷, 罗美丽, 熊建新, authorsList=张家雄, 张雅倩, 瞿婷婷, 罗美丽, 熊建新, authorCompany=null, correspAuthors=熊建新, authorNote=

张家雄（），硕士研究生。

, correspAuthorsNote=
熊建新（），教授，硕士研究生导师。
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张家雄（），硕士研究生。

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长江经济带旅游生态韧性时空演变及驱动因素
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张家雄 , 张雅倩 , 瞿婷婷 , 罗美丽 , 熊建新
中南林业科技大学学报 | 生态旅游 2026,46(6): 214-222
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中南林业科技大学学报 |生态旅游 2026 , 46 (6) : 214 -222
长江经济带旅游生态韧性时空演变及驱动因素
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张家雄 , 张雅倩, 瞿婷婷, 罗美丽, 熊建新
作者信息
  • 湖南理工大学　经济与管理学院，湖南　岳阳　414000
通讯作者:
熊建新（），教授，硕士研究生导师。
作者简介:

张家雄（），硕士研究生。

Spatio-temporal evolution and driving factors of tourism ecological resilience in the Yangtze River economic belt
Jiaxiong ZHANG , Yaqian ZHANG, Tingting QU, Meili LUO, Jianxin XIONG
Affiliations
  • College of Economics and Management, Hunan Polytechnic University, Yueyang 414000, Hunan, China
出版时间: 2026-06-25 doi: 10.14067/j.cnki.1673-923x.2026.06.020
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摘要
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【目的】

旅游生态韧性是衡量旅游生态系统可持续发展能力的重要标志，揭示其时空演变特征及驱动因素，为旅游业可持续发展提供参考依据。

【方法】

基于适应力、恢复力和转型潜力3个维度构建旅游生态韧性评价指标体系，运用熵权TOPSIS法、探索性空间数据分析法、标准差椭圆和地理探测器，分析2014—2023年长江经济带旅游生态韧性时空演变特征及驱动因素。

【结果】

1）2014—2019年旅游生态韧性呈现出稳定上升趋势，2019—2023年呈“W”形变化态势，且整体偏低；空间差异显著，呈现出下游地区>中游地区>上游地区的空间分布特征；2）旅游生态韧性的全局自相关不显著，局部自相关存在高-高、高-低、低-高和低-低4种集聚类型，显著的城市个数由17个增长为24个；3）旅游生态韧性的空间离散程度呈现出先收缩后扩大的态势，方向性明显，方位角逐年扩大，重心基本趋于稳定状态；4）旅游资源、经济发展、政府调控和生态弹性是驱动长江经济带旅游生态韧性时空演变的主要因素。

【结论】

长江经济带旅游生态韧性整体偏弱，空间差异明显。因此，推动旅游产业升级，发展智慧旅游和生态旅游等新型旅游业态，加大生态保护和修复力度，实施跨区域旅游资源整合和优化配置是提升旅游生态韧性的关键举措。

旅游生态系统  /  韧性  /  时空演变  /  驱动因素  /  长江经济带
【Objective】

Tourism ecological resilience is an important indicator of the sustainable development capacity of the tourism ecosystem, and reveals the spatiotemporal evolution characteristics and driving factors, which is a reference basis for promoting the sustainable development of tourism.

【Method】

Based on adaptive capacity, resilience, and transformative potential, an evaluation index system for tourism ecological resilience was constructed. Using the entropy weight-TOPSIS method, exploratory spatial data analysis, standard deviation ellipses, and the geographic detector model, the spatiotemporal evolution and driving factors of tourism ecological resilience in the Yangtze River Economic Belt from 2014 to 2023 were analyzed.

【Result】

1) From 2014 to 2019, tourism ecological resilience showed a stable upward trend, while it exhibited a “W”-shaped pattern from 2019 to 2023, and the overall was low. There are significant spatial differences, with the distribution characterized by downstream regions>midstream regions>upstream regions. 2) The global autocorrelation of tourism ecological resilience is not significant, but local autocorrelation shows four types of clustering: high-high, high-low, low-high, and low-low. The number of districts with significant local autocorrelation has increased from 17 to 24. 3) The spatial discrete degree of tourism ecological resilience shows a pattern of contraction followed by expansion, with a clear directional trend. The azimuth angle expands each year, while the center of gravity remains largely stable. 4) Tourism resources, economic development, government regulation, and ecosystem resilience are the main factors influencing the spatiotemporal evolution of tourism ecological resilience in the Yangtze River economic belt.

【Conclusion】

The tourism ecological resilience is weak overall, and the spatial difference is obvious in the Yangtze River economic belt. Therefore, promoting the upgrading of the tourism industry, developing new tourism forms such as smart tourism and eco-tourism, increasing ecological protection and restoration, and implementing cross-regional tourism resource integration and optimal allocation are the key measures to enhance tourism ecological resilience.

tourism ecological system  /  resilience  /  spatiotemporal evolution  /  driving factor  /  Yangtze River economic belt
张家雄, 张雅倩, 瞿婷婷, 罗美丽, 熊建新. 长江经济带旅游生态韧性时空演变及驱动因素. 中南林业科技大学学报, 2026 , 46 (6) : 214 -222 . DOI: 10.14067/j.cnki.1673-923x.2026.06.020
Jiaxiong ZHANG, Yaqian ZHANG, Tingting QU, Meili LUO, Jianxin XIONG. Spatio-temporal evolution and driving factors of tourism ecological resilience in the Yangtze River economic belt[J]. Journal of Central South University of Forestry & Technology, 2026 , 46 (6) : 214 -222 . DOI: 10.14067/j.cnki.1673-923x.2026.06.020
基金
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  • 湖南省自然科学基金面上项目(2024JJ5170)
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2026年第46卷第6期
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doi: 10.14067/j.cnki.1673-923x.2026.06.020
  • 接收时间：2025-06-02
  • 首发时间：2026-10-30
  • 出版时间：2026-06-25
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  • 收稿日期：2025-06-02
  • 修回日期：2025-08-24
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湖南省自然科学基金面上项目(2024JJ5170)
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    湖南理工大学　经济与管理学院，湖南　岳阳　414000

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熊建新（），教授，硕士研究生导师。
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2种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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