The Research About Population Pressure Of Vulnerable Ecological In The Western Of Jilin Province

Fragile ecological environment and regional poverty is the main form of population pressure in the farming-pastoral zone of west Jilin province. The matching of Water, heat and soil resources that determines the size of a population carrying capacity. The area where have a good quality of matching, the productive capacity of the land is nice, and the agricultural productivity developed well, the type of population distribution in the region is the most densely areas since ancient time.The advantages of land resource are obvious in the Northeast China Region, But the relative shortage of water makes the land of the region's water resources to match the coefficient below the national average level, this characteristic performance is conspicuous in the western region of Jilin province, Western pastoral with per capita arable land area is rich in resources, but due to severe water shortage, the ecological degradation, desertification, wetlands, soil erosion is very serious. Poor land productivity, a relatively large population density makes the ecological environment in the region is facing great pressure, while poverty in the region is one of the main features of the area, Jilin Province, mainly in the area of poverty, so we can that face the western region of Jilin great population pressure.We generally believe that the regional differences between population pressure gradient force, and it is one of the important driving force to promote the formation of migration. The research about the population pressure can help us to solve environmental problems and poverty, Studies have shown that compared to other regions, the population pressure of the western region of Jilin is lower than other place.Population pressure, mainly through the traditional scoring of experts to determine the index weights, using this method of population pressure is too subjective, so the same research results due to the different indicators may be different, with the principal component analysis to determine the index weight will be able to solve this problem.