Saturday, 15 July 2006
170-28

Driving Factor Analysis of Typical Salination Area Land Use Changes in Northeast of China.

Xin Lin, Tieheng Sun, Lina Sun, and Haibo Li. Shenyang Key Laboratory of Environmental Engineering, Shenyang Univ, PO Box1041, South Wanghua Street 21,Dadong District, Shenyang, 110044, China

As the unfrequented area, Song-nen Plain situating in Northeast China has been a beautiful place which raise lush vegetations and multifarious animals before 1900's. However, the area of the saline soil spread out much quickly in anthropocence after 1950's, the range of which increased from 3.9x106hm2 in 1950's to 6.3x106hm2 in 1990's. Nowadays, it has been the representative saline-sodic soil in the word. How to describe and predict the up trends of salinity is essential in order to controling the deteriorism of the local environments and improving the ability of sustainable development. The paper aimed on the relationship between driving factors including nature and society factors and land use change(farmlandAgrasslandAthe alkali spot, and so on) which transform to the alkali spot(the severe saline-sodic soil) in order to make sure the relationship between land use changes and soil salination. The data are based on the 26 counties field trail spot scales in certain area where is the typical region of soil salination in northeast china. In this area, there is a significant tendency for soil salination increase and aggregation. The consistent soil texture and the least bulk density appear in farmland because of long-year reclamation, so the up-down moving of water and salt is violent and the soil Sal-alkalization happen easily when the management in farmland is not in reason. First of all, in order to analyzing the changes between alkali spots and other landuse types, the land use types in September of 1985 and 2000 from TM images were employed. The results show that, there is a significant tendency for soil salination spread and aggregation. The grassland is the main salination type because of overgrazing and reclamation. Then, the soc-economy data in 1985 and 1999 are collected from the city statistical agency. the mainly human factors which drove land use changes were chosen for Canonical Correlation Analysis after calibrating mutual linearity among the 15 statistical data, the results as following are the changes of the per capita income of the farmers, the stock on hand at the end of the year and the proportion of soybean planting areas in total planting areas, the proportion of 0.5-1 degree slope areas in per county, and precipitation from April to August is the main driving factors which promote the land use change in the area.

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