An Analysis On Large-scale Vegetation Pattern Of North China

In modern ecology and global change research, the study of large-scale pattern of vegetation is very important and significant, vegetation pattern study mainly concentrated in small and medium scales, although which can reflect the mechanism between vegetation and environment factors in a way, which is difficult to quantitative description of the distribution and process.of vegetation on the whole.The northern China region which ranges from 40°N to 54°N and 73°E to 136°E is chosen as a research area. Kira classification system,the life zone classification system and a statistical thermodynamic model of organizational order of vegetation are selected for the study of large-scale vegetation Pattern. Using the spatial analysis and geostatistical analysis of GIS software, base on the meteorological data form the China Meteorological Administration, a series of raster spatial data can be obtainted, such as:temperature, precipitation, transpiration potential evapotranspiration, actual transpiration evapotranspiration and so on.Base on the analysis of 226 vegetation types of zonal formations, the suitability of each classification system between vegetation and climate were evaluated through the results of the simulation analysis. And considering the vegetation and climate classification system as optimal model respectively, quantitative relationship between the various formations and the heat index can be determined. Moreover,the pattern distribution of all vegetation and climate classification system in study regions can be obtained.The results demonstrate that, (1)In large scale, it has a good relationship between climate hydrothermic factors and vegetation pattern on ecogeographic scale. The models have good applicability by analysing the relationship between the different classification systems and zonal vegetations Using five ratio grades. (2)By the study of analysing the classification systems respectively, the degree which hydrothermic factors affect vegetation distribution and the distribution ranges of corresponding hydrothermic factors can be determined. The core purpose of this paper aims to grasp the mechanism of the interaction between vegetation and climatic factors on large-scale, and present vegetation pattern quantitative in theory, provide reference ande base data for sustainable recovery.of damaged ecosystems.