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林业科学 ›› 2012, Vol. 48 ›› Issue (7): 174-181.doi: 10.11707/j.1001-7488.20120727

• 研究简报 • 上一篇    下一篇

旅游开发下普陀山植物群落类型及其排序

李军玲1,2, 张金屯3, 邹春辉1,2, 刘忠阳1,2   

  1. 1. 河南省气象科学研究所 郑州 450003;2. 中国气象局农业气象保障与应用技术重点开放实验室 郑州 450003;3. 北京师范大学生命科学学院 北京 100875
  • 收稿日期:2011-06-21 修回日期:2011-09-29 出版日期:2012-07-25 发布日期:2012-07-25
  • 通讯作者: 邹春辉

Type and Sort of Plant Communities in Putuo Mountains under Tourism Development

Li Junling1,2, Zhang Jintun3, Zou Chunhui1,2, Liu Zhongyang1,2   

  1. 1. Institute of Meteorological Sciences of Henan Province Zhengzhou 450003;2. Key Laboratory of Agrometeorological Safeguard and Applied Technique, CMA Zhengzhou 450003;3. College of Life Sciences, Beijing Normal University Beijing 100875
  • Received:2011-06-21 Revised:2011-09-29 Online:2012-07-25 Published:2012-07-25

关键词: 旅游开发, 植物群落, 地理因子, 旅游影响系数, 普陀山

Abstract:

Understanding of the category and distribution pattern of Plant Communities in the tourism development is a basis for ecological management of the scenic zone. This study employed Two-Way Indicator Species Analysis(TWINSPAN), Detrended Correspondence Analysis(DCA), Canonical Correspondence Analysis (CCA) and DCCA to classify and sort plant communities in Putuo Mountains under tourism development and analysed the influence of tourism on plant communities. The result showed that: 1)TWINSPAN divided all the sample areas into seven sections which represented seven types of plant communities. There was an obvious gradient in the pattern of plant communities from complicated to simple with orientation from the left to the right. The gradient objectively reflected ecological relationships between tourism development and plant communities. 2)The first axis of DCA reflected the Integrated environmental gradient, that is, from the left to the right the altitude and the slope increased and the aspect turned from sunny to shaded. At the same time the distance to tour road go far and width of tour road broaden. In other words, the tourism influencing index decreased gradually from the left to the right. 3)There was a relatively strong correlation between the first axis of DCA and all of the geography factors. Specifically, there was a relatively strong negative correlation between the first axis of DCA and width of tour road, distance to tour road and slope shape. There was a relatively strong negative correlation between the second axis of DCA and width of tour road and slope. At the same time it has a positive correlation with altitude. All of these are in accordance with the distribution of their DCCA Ordination graph and turn out the accuracy of DCCA result. It is obvious that tourism development had influenced plant communities and the more tourists, the more influence. It is suggested that the scenic spot should be divided into core reserve, recreation buffer and dense recreation area through scientific partition. The result shows that the tour administrators should arrange scenic spot and tour facilities reasonably according to the relationship between plant communities and geography factors in order to reduce the impact of tourism on vegetation. The paper suggests that we should make scientific plan to protect vegetation resources and decide the quantity of tourists as well as make greater efforts to publicize them.

Key words: tourism development, plant community, geographical factors, tourism influencing index, Putuo Mountains

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