贵州喀斯特地区农作物种植结构优化对策

发布时间：2018-05-12 02:13

本文选题：农作物 + 粮食　；参考：《经济地理》2017年09期

【摘要】：从产量特征的视角,在运用C-PAC模型(典型主成分分析法)分析贵州省1949—2013年种植结构演变主要驱动力的基础上,探讨种植结构优化对策。结果表明:(1)贵州省60余年来农作物产量整体呈波动上升,其种植类型逐渐向市场主导型转变,但各类作物产量比重变化差异明显。其中,粮食作物中稻谷产量比重从1949年的58.40%下降至2013年的21.68%,蔬菜比重却提升至51.47%,水果产量占经济作物比重也增长至62.47%。(2)通过C-PCA耦合模型对贵州省作物种植结构演变的驱动力分析得到,其主要驱动因子为总人口、城市化水平、仓储运输业产值、年均气温、年降水量和农业人口比重(累计贡献率达86.04%)。(3)作物种植结构的优化,不仅需要在开展喀斯特地区种植结构适宜性评价的前提下,发展以市场为导向的山地特色高效种植业,还需完善农业仓储物流系统和城乡交通网络,为喀斯特地区特色高效生态种植业的发展提供决策依据。
[Abstract]:From the perspective of yield characteristics, based on the analysis of the main driving forces of the evolution of planting structure in Guizhou Province from 1949 to 2013 by using C-PAC model (typical principal component analysis), the countermeasures of planting structure optimization were discussed. The results show that the crop yield in Guizhou Province has fluctuated and increased in the past 60 years, and the planting type has gradually changed to the market-oriented type, but the proportion of crop yield varies significantly. Of which, The proportion of rice yield in grain crops decreased from 58.40% in 1949 to 21.68% in 2013, but the proportion of vegetables increased to 51.47, and the proportion of fruit to cash crops increased to 62.47%. The main driving factors are the optimization of crop planting structure, such as the total population, the level of urbanization, the output value of storage and transportation industry, the average annual temperature, the annual precipitation and the proportion of agricultural population (the cumulative contribution rate is 86.04). It is necessary not only to develop a market-oriented and efficient planting industry with mountainous characteristics, but also to improve the agricultural warehousing logistics system and the urban and rural transportation network under the premise of evaluating the suitability of the planting structure in karst areas. To provide decision-making basis for the development of characteristic and high-efficiency ecological planting in karst area.
【作者单位】：重庆师范大学地理与旅游学院;贵州省山地资源研究所;贵州师范大学喀斯特研究院;
【基金】：重庆市研究生创新项目(CYS17182) 贵州省科技厅创新人才团队计划(黔科合人才团队[2014]4014号)
【分类号】：F326.1

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