%0 Journal Article %A Xiao-yi GUO %A Hong-yan ZHANG %T The Vegetation Dynamic Research Under of Eco-geographical Region Framework on Greater Khingan Mountains %D 2013 %R 10.13249/j.cnki.sgs.2013.02.181 %J SCIENTIA GEOGRAPHICA SINICA %P 181-188 %V 33 %N 2 %X

In recent years, ecological deterioration trend of the mountain regions caused by global climate change and unreasonable resource development increased gradually. In this article, the spatial distribution and dynamic change of vegetation cover in the Greater Khingan Mountains are analyzed based on 8-km resolution GIMMS NDVI data from 1982 to 2006. Combining the meteorological data, the relationship between NDVI and climatic factors of vegetation variation response to climate change was discussed. The average NDVI values of the north and center were higher (0.65 and 0.63) than those of the northwest and south (0.57 and 0.51). The results showed that the NDVI values in Greater Khingan Mountains was increased more than decreasing in 1982-2006. The NDVI increased and decreased area covered about 80% and 20% of the whole study area respectively. Spatial changing trend of NDVI had great difference and most parts in different eco-geographical indistinct change. The decreased area was distributed in north, and center of the mountains. The region with marked increasing trend was mainly distributed on the south of the Greater Khingan Mountains. There was significant positive correlation between NDVI and climatic factors (temperature and precipitation), and NDVI had a stronger correlation with temperature than that with precipitation for the four eco-geographical region. By other factors, the weakest correlation was shown in the steppes vegetation cover region. The NDVI in Greater Khingan Mountains showed positive spatial autocorrelation in the whole region and similar NDVI were apt to aggregate together. A downward trend is detected in the high-high autocorrelation type, which tends to spread toward the lower reach of the north and center. The opposite result is obtained for the low-low autocorrelation type in the northwest.

%U http://geoscien.neigae.ac.cn/EN/10.13249/j.cnki.sgs.2013.02.181