摘要:云南省西双版纳地区是我国典型热带雨林区，随着社会经济发展，人类活动对区域植被格局与动态产生强烈影响。利用NDVI变化趋势分析、土地利用转移矩阵和基于MODIS数据的干扰指数（MGDI）3种方法，分析了2000-2010年人类活动干扰下研究区植被动态变化，构建了人类活动干扰指数，并利用冗余分析的方法，分析其与植被特征的相关性。结果表明：通过NDVI变化趋势得出，2000-2010年间，研究区植被覆盖度总体较高，植被变化趋势的斜率均大于0，说明植被总体趋于改善；基于土地利用转移矩阵结果表明，植被变化主要发生在常绿阔叶林、常绿针叶林转变为乔木园地、灌木园地、人工园地或居住用地；基于MODIS影像结果得出，西双版纳地区MGDI分布很不均匀，且2000-2010不同土地覆被类型MGDI相差不大。构建的人类活动干扰指数结果显示人类干扰强度由中心向边缘呈递增趋势，呈分散分布，这与人类活动的分布规模和强度相关。通过冗余分析可知，NDVI与人类活动相关性较大，MGDI与人类活动相关性不大。总体上来说，上述3种方法能够从不同侧面反映出人类活动干扰下植被长时间的变化趋势。因此，对于西双版纳地区，局地的人类活动特别是旅游、基础设施建设、农业活动等对热带雨林自然生态系统的干扰不容忽视。



Abstract:Xishuangbanna in Yunnan province is a typical tropical rainforest area in China. With the socio-economic development, human activities have exerted strong impacts on pattern and dynamics of regional vegetation. By analyzing the trend of NDVI, the transfer matrix of land use and disturbance index (MGDI) based on MODIS data, we examined the dynamics of regional vegetation under human disturbance from 2000 to 2010 in this paper. We developed the disturbance index of human activities and found its correlations with vegetation characteristics via the Redundancy analysis. The results showed that the coverage of vegetation in the study area was generally high, and the SLOPE values of the trend of vegetation change were all greater than 0, and the vegetation tended to improve in general during period of 2000-2010. The transfer matrix of land use indicated that the main vegetation dynamics were the changes of evergreen broad-leaved forest and evergreen coniferous forest into plantation shrub, artificial garden or residential land. Based on the MODIS images, it can be seen that the MGDI distribution in Xishuangbanna was very uneven, and the MGDI of different land covers from 2000 to 2010 showed little difference. From the disturbance index of human activity, it can been seen that the disturbance intensity of human activity is higher at the edge than in the center, and the overall distribution was decentralized. The dynamics were related to the distribution scale and intensity of human activities. According to redundancy analysis, NDVI was highly correlated with human activities, while MGDI was not. In general, the long-term vegetation change under human disturbances could be reflected by using three methods used in this study. Through the construction of disturbance index of human activity, we can identify the spatial distribution of disturbance. Human activities especially tourism, infrastructure construction, agricultural activities and other disturbances cannot be ignored for the natural ecosystem of tropical rainforest in Xishuangbanna region.





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