地理研究 ›› 2019, Vol. 38 ›› Issue (5): 1162-1174.doi: 10.11821/dlyj020170710

• 研究论文 • 上一篇    下一篇

基于旅游开发影响的五台山植被景观特征分析

牛莉芹1, 程占红2,3()   

  1. 1. 山西财经大学环境经济学院,太原 030006
    2. 山西财经大学旅游管理学院,太原 030031
    3. 山西财经大学资源型经济研究中心,太原 030006
  • 收稿日期:2017-08-09 修回日期:2017-12-27 出版日期:2019-05-13 发布日期:2019-05-14
  • 作者简介:

    作者简介:牛莉芹(1976-),女,山西吕梁人,博士,副教授,主要从事环境生态学研究。E-mail: nlq1976@126.com

  • 基金资助:
    国家自然科学基金项目(41571141);山西省高等学校人文社会科学重点研究基地项目(2017332);山西省软科学研究项目(2018041065-1);山西省哲学社会科学规划项目(2018B072);山西省高等学校工商管理优势学科攀升计划项目(晋教研[2018]4号)

Analysis on characteristics of vegetation landscapes basedon tourism development in Wutai Mountain scenic area

Liqin NIU1, Zhanhong CHENG2,3()   

  1. 1. College of Environment Economics, Shanxi University of Finance & Economics, Taiyuan 030006, China;
    2. College of Tourism Management, Shanxi University of Finance & Economics, Taiyuan 030031, China;
    3. Center of Resource-Based Economy Research, Shanxi University of Finance & Economics, Taiyuan 030006, China;
  • Received:2017-08-09 Revised:2017-12-27 Online:2019-05-13 Published:2019-05-14

摘要:

以往旅游对植被影响的评价成果较多,但是旅游影响下植被景观与地理因子之间的关系报道较少。本文利用多种数量生态学方法探讨了五台山旅游开发与植被景观之间的生态关系。结果表明:① 旅游开发影响下五台山植被景观可分为单优乔木区、草本区、差级乔草区、中级乔草区、中级灌草区、良级灌草区、良级乔灌草区、优级乔灌草区、以及寺庙区、商业区或居民区9种类型。② 在除趋势对应分析中,第一轴与所有因子的相关性都较大,第二轴与旅游干扰度和海拔呈显著的负相关性。各植被景观类型的空间分布在一定程度上取决于关键性指标的空间格局。③ 除趋势典范对应分析方法能够大大提高植被景观特征与地理因子间的相关性,并将其直观地表达于排序图中。在植被景观特征与地理因子的关系上,第一轴上的相关系数是0.858DCCA>0.828DCA,第二轴上的相关系数是0.583DCCA>0.501DCA,这说明除趋势典范对应分析方法更优。

关键词: 旅游开发影响, 植被类型, 对应分析, 排序, 五台山

Abstract:

Vegetation landscape is an important factor for indicating the change of ecological environment, and it is beneficial to the ecological construction and the scenic area management to identify the types and characteristics of vegetation landscape under the influence of tourism development. The ecological relationship between tourism development and vegetation landscapes is studied by Two-Way Indicator Species Analysis (TWINSPAN), Detrended Correspondence Analysis (DCA), and Detrended Canonical Correspondence Analysis (DCCA) in Wutai Mountain. The results show that: (1) There are 9 types of vegetation landscapes under the influence of tourism development, i.e., the single tree area, the herb area, the poor class area for tree-herb, the intermediate area for tree-herb, the intermediate area for shrub-herb, the good level area for shrub-herb, the good level area for tree-shrub-herb, the best level area for tree-shrub-herb, and the temple and the residential area. By using the TWINSPAN, the results show that from right to left, tourism influencing index and the proportion of species companying with human being show a decreasing trend, and landscape value importance, species diversity, the proportions in community structure, and negative species proportion are in the increasing trend. Accordingly, the structure of the plant community changes from simplicity to complexity. (2) By adopting the DCA, the result shows that the first axis is greatly correlated with all factors, revealing a comprehensive environmental gradient. The second axis has significant negative correlation with elevation and tourism disturbance degree. All types have their distribution range in the ordination figure, which are determined by the pattern rule of main indices to a large extent. (3) Compared with DCA, DCCA can improve greatly the correlation between geographical factors and vegetation landscape characteristics, which can be directly reflected in the ordination figure. As for the correlation between vegetation landscapes and geographical factors, the ordination of their coefficients is 0.858DCCA>0.828DCA on the first axes, and 0.583DCCA >0.501DCA on the second axes, which shows that the DCCA is better.

Key words: tourism development impact, vegetation types, correspondence analysis, ordination, Wutai Mountain