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生态学杂志 ›› 2011, Vol. 30 ›› Issue (06): 1210-1216.

• 研究报告 • 上一篇    下一篇

基于景观指数的九寨沟旅游区旅游干扰评价

钟静1,张捷2**   

  1. 1南京财经大学工商管理学院, 南京 210046; 2南京大学地理与海洋科学学院, 南京 210093
  • 出版日期:2011-06-08 发布日期:2011-06-08

Tourism disturbance assessment of Jiuzhaigou Tourism Area based on landscape metrics.

ZHONG Jing1, ZHANG Jie2   

  1. 1Business Administration Department, Nanjing University of Finance and Economics, Nanjing 210046, China; 2School of Geography and Oceanographic Sciences, Nanjing University, Nanjing 210093, China
  • Online:2011-06-08 Published:2011-06-08

摘要: 旅游活动对景观格局的影响是旅游干扰的重要体现,景观指数则是反映景观格局变化的定量指标。为评价旅游干扰,本文选取景观指数,综合旅游利用幅度和旅游利用强度两方面,构建旅游干扰度指标,并将该指标用于九寨沟旅游区旅游干扰的评价。评价过程中,首先选取旅游区QuickBird遥感影像,并运用3S技术实施影像解译和分区(1~5区),5个分区海拔递增且垂直距离相等,然后计算各分区的旅游干扰度。结果表明:从1区到5区,旅游利用幅度相同,旅游利用强度总体呈递减趋势,因此,旅游干扰度总体呈递减趋势。具体来说,2区最大,其次为1区和3区,4区和5区较小。各分区旅游干扰度和平均斑块分维数之间无显著相关性,说明旅游干扰在改变土地利用形态方面作用不显著。

关键词: 大年结实, 植物, 种子产量, 大年结实假说, 同步性

Abstract: The impact of tourism activity on landscape pattern is an important reflection of tourism disturbance, while landscape metrics are the quantitative indices in reflecting the changes of landscape pattern. In order to evaluate tourism disturbance, this paper selected landscape metrics to construct a tourism disturbance degree index with the consideration of tourism use extent and intensity. The index was then applied to evaluate the tourism disturbance in Jiuzhaigou tourism area. During the evaluation process, QuickBird image of the tourism area was selected, and 3S technology was used in the image interpretation and the tourism area partitioning (sub-areas 1-5). From the sub-area 1 to sub-area 5, the elevation was ascending, and the vertical distance of each sub-area was the same. Then, the tourism disturbance degree of each sub-area was calculated. The results indicated that from sub-area 1 to sub-area 5, the tourism use extent was the same but the tourism use intensity showed a decreasing trend, and thereby, the tourism disturbance degree had an overall decrease. Specifically, the tourism disturbance degree of sub-area 2 was the largest, followed by sub-areas 1 and 3, while those of sub-areas 4 and 5 were the smallest. As to each sub-area, the tourism disturbance degree didn’t have significant relationship with the mean patch fractal dimension, which demonstrated that the tourism disturbance had no significant effects on the land use pattern.

Key words: Mast seeding, Plants, Seed yield, Hypothesis, Synchrony