摘要
从耕地质量监测角度出发,探索监测效率最优的耕地质量监测单元划分方法,并尝试构建耕地质量监测效率评价体系,为耕地质量监测工作提供理论支撑。以内蒙古自治区开鲁县为例,采用因素组合法、主导因素法、图斑法以及网格法4种方法划分耕地质量监测单元,并从耕地质量监测效果、精度以及成本3个方面构建评价体系,对4种方法的监测效率进行比较分析。结果表明,因素组合法划分的耕地质量监测单元的总分值最高,为89.23分,网格法因考虑的耕地质量属性因素较少且划分的单元数目较多,监测效率评价综合得分较低。采用的监测单元划分方法中,因素组合法更适合在县域尺度应用。
Quality and safety of cultivated land resources is the basis of national food security,and efficient arable land quality monitoring is an important task to protect national farmland resources quality.Inner Mongolia Kailu County area is selected for case study,and element association method,dominant factor method,polygon method and grid method are used to divide arable land quality monitoring unit.From three aspects,cultivated land quality monitoring accuracy,cost and effect,an evaluation system is constructed from the aspects of cultivated land quality monitoring accuracy,cost and effect three.By comparison,it is found that the element association method obtains the highest total score value,89.23 points;Grid method gets the lowest score of 20.72 points because of the large number of cell division.Based monitoring unit division method proposed in this study,on one hand the foundation for reasonable layout of arable land quality monitoring sample points is built.On the other hand,according to the actual situation of the region,reasonable choice of partitioning method can effectively improve the efficiency of arable land quality monitoring.
出处
《中国农业大学学报》
CAS
CSCD
北大核心
2017年第9期154-163,共10页
Journal of China Agricultural University
基金
北京市自然科学基金项目(8151001)
关键词
耕地质量监测
因素组合法
主导因素法
图斑法
网格法
效率
内蒙古开鲁县
arable land monitoring
element association method
the dominant factor method
polygon method
gridmethod
efficiency
Kailu County
