湖南省占用与补充耕地生产能力折算系数研究

发布时间：2018-03-12 12:43

本文选题：拟占用耕地　切入点：拟补充耕地　出处：《湖南师范大学》2015年硕士论文　论文类型：学位论文

【摘要】：随着湖南省经济、社会进入高速发展时期,建设用地需求持续增长,大量非农建设占用耕地,省域内优质耕地资源数量不断减少的同时,土地资源总体质量呈现明显的降低趋势,保持和提高耕地综合生产能力不降低的任务十分艰巨。保持和提高耕地综合生产能力不仅关系到全省的粮食安全,而且事关全省经济社会可持续发展、社会稳定及生态环境保护。开展湖南省占用与补充耕地生产能力折算系数研究主要目的在于按照农业综合生产能力不降低的原则,利用农用地分等定级成果和方法,将补充耕地生产能力与占用耕地生产能力挂钩并进行折算,以确保补充耕地面积不减少的同时,提高补充耕地的生产能力,实现耕地占补数量和质量的双重平衡。本文得出以下结论:(1)抽取的湖南省土地利用等指数和标准粮产量数据基本符合正态分布,通过回归分析,得出了水田利用等指数和标准粮之间相关系数R=0.8946,旱地利用等指数和标准粮之间相关系数R=0.8988,均达到显著水平。(2)建立了湖南省水田利用等指数和标准粮产量的回归模型为:Y=0.5619x+369.19,旱地利用等指数和标准粮出产量的回归模型为:Y=0.4604x+356.04。(3)通过对拟补充耕地样点的耕地质量等级进行预评价,预测得到湖南省未来拟补充水田的利用等区间为7-13等,综合利用等为11.05等;未来拟补充旱地利用等区间为8-13等,综合利用等为10.97等。(4)通过建立标准粮产量和利用等指数的一元线性回归模型,计算得出土地利用等指数和标准粮产量的对应关系,按照生产能力折算系数计算方法,分地类测算了湖南省占用与补充耕地生产能力折算系数,并编制了生产能力折算系数表。测算结果显示:湖南省占用与补充水田的生产能力折算系数区间为1.09—4.70,占用与补充旱地的生产能力折算系数区间为1.08—4.21。
[Abstract]:With Hunan's economy and society entering a period of rapid development, the demand for construction land continues to grow, a large number of non-agricultural construction occupies cultivated land, and the number of high-quality cultivated land resources in the province is constantly decreasing. The overall quality of land resources shows an obvious downward trend, and the task of maintaining and improving the comprehensive productive capacity of cultivated land is very arduous. Maintaining and improving the comprehensive production capacity of cultivated land is not only related to the food security of the whole province, Moreover, it concerns the sustainable economic and social development of the province, social stability and ecological environment protection. The main purpose of the study on the conversion coefficient of productive capacity of occupied and supplementary cultivated land in Hunan Province is to follow the principle of not reducing the comprehensive agricultural production capacity. To use the results and methods of grading agricultural land to link and convert the productive capacity of supplementary cultivated land with the productive capacity of occupied cultivated land, so as to ensure that the area of supplementary cultivated land is not reduced, and to increase the productive capacity of supplementary cultivated land, This paper draws the following conclusion: the index of land use and standard grain yield data extracted from Hunan Province basically accord with normal distribution, and through regression analysis, A regression model of paddy field utilization index and standard grain yield in Hunan Province was established. The correlation coefficient between paddy field utilization index and standard grain was 0.8946, and the correlation coefficient between dry land utilization index and standard grain reached significant level (0.8988, respectively.) the regression model of paddy field utilization index and standard grain yield in Hunan Province was established. The regression model of dry land utilization index and standard grain yield is:: yong 0.4604x 356.04.03) through the pre-evaluation of cultivated land quality grade at the sample point of supplementary cultivated land, It is predicted that the equal interval of utilization of future supplementary paddy fields in Hunan Province is 7-13, and that of comprehensive utilization is 11.05, while that of future supplementary dryland utilization is 8-13, etc. By establishing a linear regression model of standard grain yield and utilization index, the corresponding relationship between land use index and standard grain yield is calculated and calculated according to the method of conversion coefficient of production capacity. The conversion coefficient of productive capacity of occupied and supplementary cultivated land in Hunan Province has been calculated by land classification. The calculating results show that the conversion coefficient of productive capacity of occupied and replenished paddy fields in Hunan Province is 1.09-4.70, and the conversion coefficient of productive capacity of occupied and replenished dryland is 1.08-4.21.
【学位授予单位】：湖南师范大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：F323.211;F224

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