Abstract:

In order to analyze the evolution characteristics of planting structure in mountainous area, the main driving factors of planting structure, and to formulate regulation pathways of planting structure, the C-PCA coupling model (typical principal component analysis) was used in this paper to analyze the 15 driving factors of plant structure evolution from 1949 to 2013 in Guizhou Province. The results showed that: (1) The planting structure of 1949-2013 in Guizhou Province was gradually transformed to market oriented, with the proportion of economic crops increased and the proportion of grain crops decreased, and the growth rates of grain crops and economic crops were 7.24% and 2.95%, respectively; (2) The contribution rate of C-PCA coupling model showed that the main driving factors of plant structure evolution are total population, urbanization level, storage and transportation proportion, average annual temperature, annual precipitation and agricultural population proportion, and their corresponding cumulative contribution rate is 86.04%; (3) To  regulation the cropping structure in mountainous  area, both high efficient agriculture, and large data and cloud platform are needed to realize the sustainable development of agriculture and provide important support for the development of agricultural economy in mountainous  area.

Key words：mountainous; planting structure; driving force; C-PCA;  regulation pathways