山地农业种植结构演变特征及其调控途径分析——以贵州省为例
发布时间：2018-10-30 11:28
【摘要】：为分析山地农业种植结构的演变特征及其主要驱动因子,制定种植结构的调控途径,采用C-PCA耦合模型(典型主成分分析)对贵州省1949~2013年种植结构演变的15个驱动因子进行分析。结果表明:(1)贵州省1949~2013年种植结构逐渐向市场导向型转变,经济作物比重上升,粮食作物比重下降,粮食作物和经济作物产量分别以7.24%和2.95%的速率增长;(2)通过C-PCA耦合模型的贡献率得出种植结构演变的主要驱动因子为总人口、城市化水平、仓储运输业比重、年均气温、年降水量和农业人口比重,其对应累计贡献率达86.04%;(3)调控山地农业种植结构,不仅需要发展山地高效复合型农业,提高种植系统抗灾能力,还需借助农产品生产、加工、销售云平台实现农业的可持续发展,从而为山地农业经济的发展提供重要支撑。
[Abstract]:In order to analyze the evolutional characteristics and main driving factors of agricultural planting structure in mountainous area, the regulation and control ways of planting structure were established. The C-PCA coupling model (typical principal component analysis) was used to analyze the 15 driving factors of the evolution of planting structure in Guizhou province from 1949 to 2013. The results showed that: (1) the planting structure of Guizhou Province gradually changed to market-oriented from 1949 to 2013, the proportion of cash crops increased, the proportion of grain crops decreased, and the yield of grain crops and cash crops increased by 7.24% and 2.95% respectively; (2) the main driving factors of the evolution of planting structure are the total population, the level of urbanization, the proportion of storage and transportation industry, the average annual temperature, the annual precipitation and the proportion of agricultural population through the contribution rate of C-PCA coupling model. The corresponding cumulative contribution rate was 86.04; (3) in order to control the planting structure of mountainous agriculture, it is necessary not only to develop high-efficient compound agriculture in mountainous areas and to improve the ability of planting system to resist disasters, but also to realize the sustainable development of agriculture by means of the production, processing and marketing of agricultural products. Thus provides the important support for the mountainous agricultural economy development.
【作者单位】： 重庆师范大学地理与旅游学院;重庆市育才中学校;贵州省山地资源研究所;
【基金】：贵州省重大应用基础专题(黔科合JZ字[2014]200206) 贵州省科技厅创新人才团队计划(黔科合人才团队[2014]4014)~~
【分类号】：F326.1
本文编号：2299875
[Abstract]:In order to analyze the evolutional characteristics and main driving factors of agricultural planting structure in mountainous area, the regulation and control ways of planting structure were established. The C-PCA coupling model (typical principal component analysis) was used to analyze the 15 driving factors of the evolution of planting structure in Guizhou province from 1949 to 2013. The results showed that: (1) the planting structure of Guizhou Province gradually changed to market-oriented from 1949 to 2013, the proportion of cash crops increased, the proportion of grain crops decreased, and the yield of grain crops and cash crops increased by 7.24% and 2.95% respectively; (2) the main driving factors of the evolution of planting structure are the total population, the level of urbanization, the proportion of storage and transportation industry, the average annual temperature, the annual precipitation and the proportion of agricultural population through the contribution rate of C-PCA coupling model. The corresponding cumulative contribution rate was 86.04; (3) in order to control the planting structure of mountainous agriculture, it is necessary not only to develop high-efficient compound agriculture in mountainous areas and to improve the ability of planting system to resist disasters, but also to realize the sustainable development of agriculture by means of the production, processing and marketing of agricultural products. Thus provides the important support for the mountainous agricultural economy development.
【作者单位】： 重庆师范大学地理与旅游学院;重庆市育才中学校;贵州省山地资源研究所;
【基金】：贵州省重大应用基础专题(黔科合JZ字[2014]200206) 贵州省科技厅创新人才团队计划(黔科合人才团队[2014]4014)~~
【分类号】：F326.1
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