In the context that global grain security is still in very severe situation,the grain security situation in China is not optimistic as well. The " Red Line of Farmland Area" cannot completely solve the grain...In the context that global grain security is still in very severe situation,the grain security situation in China is not optimistic as well. The " Red Line of Farmland Area" cannot completely solve the grain security problems in China. We still need to seek new breakthroughs in the quality and yield of farmland. The construction of high standard capital farmland is the important premise to guarantee national grain security. On this basis,this paper has summarized the difficulties we are facing in the construction of high standard capital farmland,and has proposed the methods and measures to construct high standard capital farmland and lay a solid foundation for grain security in China.展开更多
On the basis of actual situations of Guangdong Province, using Factor Analysis Approach and Quantitative Analysis Method, we built index system by four factors, namely, extent of farmland connectivity, local financial...On the basis of actual situations of Guangdong Province, using Factor Analysis Approach and Quantitative Analysis Method, we built index system by four factors, namely, extent of farmland connectivity, local financial support, grain production capacity and farmland consolidation potential. Finally, we obtained that the areas with total scores of evaluation higher than 50 points are key construction areas of high-standard capital farmland in Guangdong Province. In total, there are 40 key construction areas, including 16 in plain areas of the Pearl River Delta, 9 in coastal regions of east of Guangdong, 10 in coastal regions of west of Guangdong, and 5 in northwest mountainous regions of Guangdong. Besides, we put forward construction direction of these 4 capital farmland areas.展开更多
Firstly,this paper introduces current situations of protection of capital farmland. According to current situations,it analyzes significance in protecting capital farmland and significance and functions of application...Firstly,this paper introduces current situations of protection of capital farmland. According to current situations,it analyzes significance in protecting capital farmland and significance and functions of application of 3S technology in dynamic monitoring of capital farmland. With the aid of examples,it discusses functions of remote sensing and GIS in dynamic monitoring of capital farmland. It is believed that 3S technology not only can provide accurate parcel data of capital farmland changes for reviewing land change survey,but also can provide data for monitoring development situations of capital farmland,as well as provide basic current information for decision-making department.展开更多
规范评价实施效果对科学开展高标准基本农田建设具有重要意义。该文以山地丘陵区3个农业产业化进程梯度差异明显的高标准基本农田建设示范县——重庆市江津区(YQ-I)、铜梁区(YQ-II)、梁平县(YQ-III)为样区,以土地整治项目为样点,选取新...规范评价实施效果对科学开展高标准基本农田建设具有重要意义。该文以山地丘陵区3个农业产业化进程梯度差异明显的高标准基本农田建设示范县——重庆市江津区(YQ-I)、铜梁区(YQ-II)、梁平县(YQ-III)为样区,以土地整治项目为样点,选取新型经营主体数量、土地流转规模等10项指标,构建了高标准基本农田建设后经济-社会效应评价指标体系,并将熵权法和改进TOPSIS(technique for order preference by similarity to ideal solution)模型应用于评价。结果发现,在影响经济-社会效应的各项指标中,适度规模化经营面积、项目后期管护农民参与度、农民参与项目施工收入等3项指标处于重要级,指标值变差大、影响强;农民人均农业年收入变化、整治工程村民满意度、项目后期管护措施到位度和农民参与项目施工人数等4项处于边缘级,指标值变差小、影响弱;其余指标处于次要级,影响程度居中。3个样区高标准基本农田建设后经济-社会综合效应与农业产业化进程关系密切,呈现为农业产业化进展快速型的YQ-I>进展加速型的YQ-II>相对缓慢型的YQ-III,效应等级分别为良、中、差;但单方面的经济效应和社会效应具有不平衡性,表现为指标等级分布不平衡、效应等级分布不平衡、研究样区内部不平衡;而随着农业产业化进程加快,经济效应和社会效应之间的差距在逐步缩小,表现为YQ-III、YQ-II和YQ-I中,经济效应贴近度与社会效应贴近度之间的差距依次为22.25、1.21和0.77倍。因此,通过农业产业化,山地丘陵区能有效地利用和发挥高标准基本农田建设的支撑作用,并通过新型经营主体更好地统筹高标准基本农田的建设与后续管护;而基于熵权法和改进TOPSIS模型的评价方法,能够有效用于高标准基本农田建设后经济-社会效应评价。展开更多
为快速高效的获取高标准基本农田建设区域土壤重金属信息,以新郑市高标准基本农田建设区域为研究对象,共采集154个土壤样品,在室内利用ASD Field Spec3型地物光谱仪获得土壤高光谱数据,对土壤样品在400~2 400 nm的光谱反射率进行多元散...为快速高效的获取高标准基本农田建设区域土壤重金属信息,以新郑市高标准基本农田建设区域为研究对象,共采集154个土壤样品,在室内利用ASD Field Spec3型地物光谱仪获得土壤高光谱数据,对土壤样品在400~2 400 nm的光谱反射率进行多元散射校正(multiplicative scatter correction,MSC)和Savitzky-Golay(SG)平滑后,进行一阶微分(first order differential reflectance,FDR)和二阶微分(second order differential reflectance,SDR)变换,并与Cr、Cd、Zn、Cu、Pb 5种重金属含量进行相关性分析,遴选出通过P=0.01显著性检验的高光谱特征波段作为反演模型的自变量,采用116个建模集样本构建偏最小二乘模型(partial least square regress,PLSR),通过精度检验筛选每个土壤重金属的最佳反演模型,并采用最佳地统计插值方法对高标准基本农田建设区域土壤重金属进行空间插值。结果表明:Cr的SDR-PLSR模型为最佳反演模型(R^2=0.88,RPD=1.68),Cd的R-PLSR模型为最佳反演模型(R^2=0.70,RPD=1.50),Zn的R-PLSR模型为最佳反演模型(R^2=0.88,RPD=2.05),Cu的R-PLSR模型为最佳反演模型(R^2=0.99,RPD=3.36),Pb的SDR-PLSR模型为最佳反演模型(R^2=0.93,RPD=3.16);采用构建的土壤重金属的最佳模型,对土壤重金属含量进行空间插值,结合高标准农田建设标准可知Zn含量符合土壤环境质量Ⅱ类标准且均低于土壤背景值,Cr、Cd、Cu和Pb符合土壤环境质量Ⅱ类标准,但是部分区域超过了土壤背景值。该研究为高光谱反演模型用于高标准基本农田建设区域土壤基础信息的实时监测提供了参考。展开更多
基金Supported by Soft Science Project of Anhui Provincial Department of Land and Natural Resources(2015801)
文摘In the context that global grain security is still in very severe situation,the grain security situation in China is not optimistic as well. The " Red Line of Farmland Area" cannot completely solve the grain security problems in China. We still need to seek new breakthroughs in the quality and yield of farmland. The construction of high standard capital farmland is the important premise to guarantee national grain security. On this basis,this paper has summarized the difficulties we are facing in the construction of high standard capital farmland,and has proposed the methods and measures to construct high standard capital farmland and lay a solid foundation for grain security in China.
基金Supported by the Project of Monitoring System for Farmland Quality Grade of Guangdong Province (2011B020313020)
文摘On the basis of actual situations of Guangdong Province, using Factor Analysis Approach and Quantitative Analysis Method, we built index system by four factors, namely, extent of farmland connectivity, local financial support, grain production capacity and farmland consolidation potential. Finally, we obtained that the areas with total scores of evaluation higher than 50 points are key construction areas of high-standard capital farmland in Guangdong Province. In total, there are 40 key construction areas, including 16 in plain areas of the Pearl River Delta, 9 in coastal regions of east of Guangdong, 10 in coastal regions of west of Guangdong, and 5 in northwest mountainous regions of Guangdong. Besides, we put forward construction direction of these 4 capital farmland areas.
基金Supported by Remote Sensing and Dynamic Monitoring Project of Capital Farmland in Typical Regions of Sichuan Province
文摘Firstly,this paper introduces current situations of protection of capital farmland. According to current situations,it analyzes significance in protecting capital farmland and significance and functions of application of 3S technology in dynamic monitoring of capital farmland. With the aid of examples,it discusses functions of remote sensing and GIS in dynamic monitoring of capital farmland. It is believed that 3S technology not only can provide accurate parcel data of capital farmland changes for reviewing land change survey,but also can provide data for monitoring development situations of capital farmland,as well as provide basic current information for decision-making department.
文摘规范评价实施效果对科学开展高标准基本农田建设具有重要意义。该文以山地丘陵区3个农业产业化进程梯度差异明显的高标准基本农田建设示范县——重庆市江津区(YQ-I)、铜梁区(YQ-II)、梁平县(YQ-III)为样区,以土地整治项目为样点,选取新型经营主体数量、土地流转规模等10项指标,构建了高标准基本农田建设后经济-社会效应评价指标体系,并将熵权法和改进TOPSIS(technique for order preference by similarity to ideal solution)模型应用于评价。结果发现,在影响经济-社会效应的各项指标中,适度规模化经营面积、项目后期管护农民参与度、农民参与项目施工收入等3项指标处于重要级,指标值变差大、影响强;农民人均农业年收入变化、整治工程村民满意度、项目后期管护措施到位度和农民参与项目施工人数等4项处于边缘级,指标值变差小、影响弱;其余指标处于次要级,影响程度居中。3个样区高标准基本农田建设后经济-社会综合效应与农业产业化进程关系密切,呈现为农业产业化进展快速型的YQ-I>进展加速型的YQ-II>相对缓慢型的YQ-III,效应等级分别为良、中、差;但单方面的经济效应和社会效应具有不平衡性,表现为指标等级分布不平衡、效应等级分布不平衡、研究样区内部不平衡;而随着农业产业化进程加快,经济效应和社会效应之间的差距在逐步缩小,表现为YQ-III、YQ-II和YQ-I中,经济效应贴近度与社会效应贴近度之间的差距依次为22.25、1.21和0.77倍。因此,通过农业产业化,山地丘陵区能有效地利用和发挥高标准基本农田建设的支撑作用,并通过新型经营主体更好地统筹高标准基本农田的建设与后续管护;而基于熵权法和改进TOPSIS模型的评价方法,能够有效用于高标准基本农田建设后经济-社会效应评价。
文摘为快速高效的获取高标准基本农田建设区域土壤重金属信息,以新郑市高标准基本农田建设区域为研究对象,共采集154个土壤样品,在室内利用ASD Field Spec3型地物光谱仪获得土壤高光谱数据,对土壤样品在400~2 400 nm的光谱反射率进行多元散射校正(multiplicative scatter correction,MSC)和Savitzky-Golay(SG)平滑后,进行一阶微分(first order differential reflectance,FDR)和二阶微分(second order differential reflectance,SDR)变换,并与Cr、Cd、Zn、Cu、Pb 5种重金属含量进行相关性分析,遴选出通过P=0.01显著性检验的高光谱特征波段作为反演模型的自变量,采用116个建模集样本构建偏最小二乘模型(partial least square regress,PLSR),通过精度检验筛选每个土壤重金属的最佳反演模型,并采用最佳地统计插值方法对高标准基本农田建设区域土壤重金属进行空间插值。结果表明:Cr的SDR-PLSR模型为最佳反演模型(R^2=0.88,RPD=1.68),Cd的R-PLSR模型为最佳反演模型(R^2=0.70,RPD=1.50),Zn的R-PLSR模型为最佳反演模型(R^2=0.88,RPD=2.05),Cu的R-PLSR模型为最佳反演模型(R^2=0.99,RPD=3.36),Pb的SDR-PLSR模型为最佳反演模型(R^2=0.93,RPD=3.16);采用构建的土壤重金属的最佳模型,对土壤重金属含量进行空间插值,结合高标准农田建设标准可知Zn含量符合土壤环境质量Ⅱ类标准且均低于土壤背景值,Cr、Cd、Cu和Pb符合土壤环境质量Ⅱ类标准,但是部分区域超过了土壤背景值。该研究为高光谱反演模型用于高标准基本农田建设区域土壤基础信息的实时监测提供了参考。
