山地農業(yè)種植結構演變特征及其調控途徑分析——以貴州省為例
發(fā)布時間：2018-10-30 11:28
【摘要】：為分析山地農業(yè)種植結構的演變特征及其主要驅動因子,制定種植結構的調控途徑,采用C-PCA耦合模型(典型主成分分析)對貴州省1949~2013年種植結構演變的15個驅動因子進行分析。結果表明:(1)貴州省1949~2013年種植結構逐漸向市場導向型轉變,經濟作物比重上升,糧食作物比重下降,糧食作物和經濟作物產量分別以7.24%和2.95%的速率增長;(2)通過C-PCA耦合模型的貢獻率得出種植結構演變的主要驅動因子為總人口、城市化水平、倉儲運輸業(yè)比重、年均氣溫、年降水量和農業(yè)人口比重,其對應累計貢獻率達86.04%;(3)調控山地農業(yè)種植結構,不僅需要發(fā)展山地高效復合型農業(yè),提高種植系統(tǒng)抗災能力,還需借助農產品生產、加工、銷售云平臺實現(xiàn)農業(yè)的可持續(xù)發(fā)展,從而為山地農業(yè)經濟的發(fā)展提供重要支撐。
[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.
【作者單位】： 重慶師范大學地理與旅游學院;重慶市育才中學校;貴州省山地資源研究所;
【基金】：貴州省重大應用基礎專題(黔科合JZ字[2014]200206) 貴州省科技廳創(chuàng)新人才團隊計劃(黔科合人才團隊[2014]4014)~~
【分類號】：F326.1
本文編號：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.
【作者單位】： 重慶師范大學地理與旅游學院;重慶市育才中學校;貴州省山地資源研究所;
【基金】：貴州省重大應用基礎專題(黔科合JZ字[2014]200206) 貴州省科技廳創(chuàng)新人才團隊計劃(黔科合人才團隊[2014]4014)~~
【分類號】：F326.1
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