The Change Of Vegetation Coverage And The Relationship With Regional Climates In Inner Mongolia

Using remote sensing to NDVI data and meteorological data, on the one hand, this paper analyze the spatial and temporal variation characteristics of vegetation cover in Inner Mongolia, On the other hand to analyze climate change trend of Inner Mongolia. Then using geographic information system technology, using the trend analysis and correlation analysis methods, this paper comprehensive analyzes the Inner Mongolia region vegetation cover change on climate change in response to the characteristics of spatial-temporal and its potential impact on regional climate. Climate stability t test show that significant changes have taken place in annual average temperature, but didn’t pass the temperature stability test at α=0.05. Annual precipitation in most regions of Inner Mongolia has no significant changes and through the test of stability. Linear change trend of annual average temperature is obvious in various areas. The average temperature of the four seasons of linear warming trend is obvious in most of the region. But the linear variation in annual rainfall and seasonal precipitation trends were not significant in various areas. Farmland, forest and steppe’s NDVI change throughout the year present trend of univariate quadric curve form which have single peak and open side down. Years of forest vegetation change is bigger, year of grassland vegetation changes more gently, the kurtosis years farmland vegetation change center. Among these three vegetation types are have such characteristics as from April to July NDVI is growing fast, from August to October NDVI falling fast and vegetation covered like the bare in winter’s farmland and grassland. Summer NDVI can represent the average of three vegetation types at best years growth, can also be used to describe vegetation coverage throughout the years. On the trend of vegetation cover change from1982to2006the analysis results show that only linear trend of farmland of average summer NDVI through significance test, summer average NDVI showed a trend of falling forest, grassland summer average NDVI showed a trend of rising, but not dramatically. This article uses a correlation coefficient to describe vegetation cover from1982to2006, and the degree of linear correlation between meteorological elements. In ArcMap raster calculator written in correlation coefficient formula, calculate the correlation coefficient of NDVI and average temperature, NDVI and cumulative precipitation. According to the law of large Numbers, calculate unbiased correlation coefficient, which can better reflect the correlation between less sample statistics. Correlation coefficient significant t test method is used for screening area. Using GIS classification function, make the spatial distribution of the relationship between average NDVI and temperature, precipitation factors. Combined with the feature of agriculture cropping system and crop species, pastoral animal husbandry practices and grass type, geographic location and the forest property, and over the same period of light, temperature, precipitation and other climatic suitability analysis factor conditions, the correlation between NDVI and average temperature and precipitation are explained more reasonable. The results show that the spring has good moisture and temperature recovery fast is beneficial to vegetation root; summer precipitation and temperature matching suitable for vegetation growth and development; soil moisture’s influence on vegetation in the fall falling and a comfortable temperature is the key to increase production; vegetation coverage changes in winter is mainly affected by the snow and snow melting.