Temporal Patterns Of Grassland Vegetation Coverage And Aboveground Biomass In Hulunbeier

Grassland is the world’s largest continental land resources, which has great ecological and economic values. Grassland aboveground biomass of grassland productivity and vegetation coverage is the most important indicator which determines the sustainable development of animal husbandry. Meanwhile, both are also important parameters to describe grassland ecosystem health and ecological capacity. It plays an important role in regional ecosystem research and prevention of soil erosion. Hulunbeir grassland is an important Windbreak area and an important ecological barrier North and Northeast. To study Hulunbeir grassland aboveground biomass and vegetation coverage in time and space pattern has important practical significance.Using field data and remote sensing data with the methods of statistical analysis, regression and least squares, the establishment of the prediction of vegetation and aboveground biomass of grassland spectral model, and study and analyze the entire aboveground biomass of hulunbeier grassland vegetation coverage and the dynamics of spatio-temporal pattern, the main findings are as follows:(1) The results of land-use changes. During the period of 2000-2010 grassland mainly converted into unused land(sand), construction land and farmland area change, respectively 2841.12km2, 170.02km2 and 892.71km2 in Hulun Buir Grassland.(2) The construction of spectral model. Using 2009-2012 field data and remote sensing data with the methods of statistical analysis and regression, the establishment of the prediction of vegetation and aboveground biomass of grassland spectral model. The model respectively and Meanwhile after verification, correlation between measured and predicted values of vegetation and aboveground biomass is better. Model standard error is low. The construction of vegetation coverage and biomass prediction model is feasible.(3) The spatial pattern of a vegetation coverage and aboveground biomass. First, using prediction models of vegetation and aboveground biomass, 2000-2014 remote sensing data calculated vegetation coverage and aboveground biomass is reduced gradually from east to west in yuan scale from 2000 to 2014. Second. Using transect analysis methods, the study found that vegetation coverage and aboveground biomass distribution of longitude difference is obvious, the latitude is not significant, and the North-South distribution more affected by the impact of land use.(4) The variation tendency of a vegetation coverage and aboveground biomass. Compared with vegetation coverage(aboveground biomass) was decreased in period of 2000-2005 and 2006-2010. By period of 2011-2014 coverage(aboveground biomass) recovers well. All levels of vegetation cover in the three stages of change varies, played a key role was a very high coverage and high coverage. Pixel scale of vegetation coverage(aboveground biomass) in 2000-2014 showed a trend of growth. Vegetation coverage is 77.33% of the study area as pixel showed increasing trend, 22.67% of the study area as pixel showed a trend of decrease. The ground biomass accounted for 77.64% of the study area as pixel showed increasing trend, 22.36% of the study area as pixel showed a trend of decrease, reducing trend area mainly concentrated in the eastern central in the study area.