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基于农用地分等的县级耕地质量等级监测指标选取方法——以内蒙古达拉特旗为例
引用本文:王佳宁,孔祥斌,张青璞,刘炎. 基于农用地分等的县级耕地质量等级监测指标选取方法——以内蒙古达拉特旗为例[J]. 中国农业大学学报, 2015, 20(3): 175-187
作者姓名:王佳宁  孔祥斌  张青璞  刘炎
作者单位:中国农业大学 资源与环境学院/国土资源部农用地质量与监测重点实验室,北京,100193
基金项目:国土资源部公益性行业科研专项项目(201011006); 国家社会科学基金项目(14AZD031)
摘    要:为科学快速地确定县级耕地质量监测指标、建立评价体系,以内蒙古自治区达拉特旗为研究区域,在农用地分等的基础上首先运用相关性分析法确定指标建立监测的第一套指标体系,同时把原农用地分等指标作为第二套指标体系;选用等别面积累积曲线等方法把2套指标体系的计算结果进行对比;最后将标准粮产量与计算结果进行回归分析以验证结果精度。结果表明:1)与原农用地分等相比,新建立的指标在平原区中精简了障碍层深度和表层土壤质地2项指标,丘陵区不变;2)依据2套指标体系计算的农用地等别结果大体一致,而新建立的计算结果精度要高出0.01。在不降低监测结果精度和准确性的前提下,耕地质量等级监测指标在原农用地分等指标体系的基础上,通过相关性分析法进行确定;依据这种方法确定的耕地质量等级监测指标体系可以保障监测结果准确可靠,节约监测成本和提高监测效率。

关 键 词:农用地分等  耕地质量  监测  指标
收稿时间:2014-08-25

Factors selection method for monitoring the cultivated land level based on farmland grading:In Dalate County
WANG Jia-ning,KONG Xiang-bin,ZHANG Qing-pu and LIU yan. Factors selection method for monitoring the cultivated land level based on farmland grading:In Dalate County[J]. Journal of China Agricultural University, 2015, 20(3): 175-187
Authors:WANG Jia-ning  KONG Xiang-bin  ZHANG Qing-pu  LIU yan
Affiliation:College of Resources and Environmental Sciences, China Agricultural University, Beijing 100193, China;College of Resources and Environmental Sciences, China Agricultural University, Beijing 100193, China;College of Resources and Environmental Sciences, China Agricultural University, Beijing 100193, China;College of Resources and Environmental Sciences, China Agricultural University, Beijing 100193, China
Abstract:It is scientifically vital to developing an efficient and convenient method for monitoring quality of cultivated land in county-level for mastering the current situation and its developing trends of cultivated land in China.It is the key to quickly select out the monitoring factors for establishing evaluation system.In this study,Dalate county Inner Mongolia Autonomous Region was used as the study area.The correlation analysis was adopted for optimizing the factors.The cumulative curve was used to compare two sets of indicators.The accuracy of the data were verified through the regression of grain yield with the calculated results.The results showed that two factors could be removed.The results from two kinds of index systems were little different,but were of same general trend.The result of the new index system had higher precision.It is thus necessary to streamline and optimize the factors for improving the efficiency and save the cost of monitoring under the condition of ensuring the accuracy of monitoring results.
Keywords:farmland grading  quality of farmland  monitoring  factors
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