多时空尺度的土壤质量评价最小数据集的建立 |
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引用本文: | 张世文,叶回春,胡友彪,黄元仿. 多时空尺度的土壤质量评价最小数据集的建立[J]. 安徽农业科学, 2013, 0(17): 7487-7492 |
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作者姓名: | 张世文 叶回春 胡友彪 黄元仿 |
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作者单位: | 安徽理工大学地球与环境学院,安徽淮南232001;中国农业大学资源与环境学院,农业部华北耕地保育重点实验室,国土资源部农用地质量与监控重点实验室,北京100193;中国农业大学资源与环境学院,农业部华北耕地保育重点实验室,国土资源部农用地质量与监控重点实验室,北京100193;安徽理工大学地球与环境学院,安徽淮南,232001 |
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基金项目: | 国家自然科学基金,公益性行业(农业)科研专项,国土资源部公益性行业科研专项 |
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摘 要: | [目的]探讨土壤质量评价最小数据集的建立方法,并且基于建立的方法构建不同时空尺度的土壤质量评价最小数据集。[方法]基于环境相关法,采用皮尔森相关分析、主成分分析和计算矢量常模值、土壤母质类型、土壤类型和土地利用与土壤质量的关系等建立土壤质量评价最小数据集。[结果]就空间尺度而言,衡量县域和乡镇尺度土壤质量好坏的最小数据集明显不同,2008年县域尺度下最小数据集包括土壤容重、砂粒、土壤有机质、黏粒、pH、土壤有效锌、土壤有效锰7个指标,而进入2008年乡镇尺度下的最小数据集则为粉粒、有效钾、有效锰、全氮、土壤容重、黏粒、pH、土壤有效铁8个因素;就时间尺度而言,不同时期的最小数据集不同。[结论]土壤质量评价必须和时空尺度挂钩才有意义。基于该研究建立的方法得到的土壤质量评价最小数据集参数能够最大限度地包含所有未入选参数所表达的土壤质量信息。不同时空尺度下建立土壤质量最小数据集冗余程度最低。
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关 键 词: | 多时空尺度 土壤质量 最小数据集 |
Establishment of Minimum Data Set for Soil Quality Assessment with Multiple Spatial and Temporal Scales |
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Affiliation: | ZHANG Shi-wen;School of Earth and Environment,Anhui University of Science and Technology; |
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Abstract: | Abstract [ Objective ] To discuss establishing method of the minimum data set for soil quality assessment and based on the method to build min- imum data set of soil quality assessment for different spatial and temporal scales. [ Method] Using Pearson correlation analysis,principal compo- nent analysis, calculatation of Norm value, soil partent material, relationship of soil type',land use and soil quality and so on to establish minimum data set of soil quality assessment. [ Result] On spatial scales,the minimum data set measure soil quality are differences for the county and town- ship scale. The minimum data set includes soil bulk density, sand, soil organic matter, clay, pH, soil available Zinc, soil available Mn for the county scale in 2008, and silt, available potassium, soil available Mn, total nitrogen, soil bulk density, clay,pH, soil available iron for the township scale in 2008. The minimum data set for the different periods are not the same. [ Conclusion] It is meaningful that soll quality assessment must be hnked to meaningful spatial and temporal scales. The minimum data set constructed based on this method could maximize to contain all the selected pa- rameters not expressed in soil quality information. Degree of redundancy of the minimum data set was the minimum under spatial and temporal scales. |
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Keywords: | Multiple spatial and temporal scales Soil quality Minimum data set |
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