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Field Scale Studies on the Spatial Variability of Soil Quality Indicators in Washington State, USA

机译:美国华盛顿州土壤质量指标空间变异性的田间尺度研究

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Arable lands are needed for sustainable agricultural systems to support an ever-growing human population. Soil quality needs to be defined to assure that new land brought into crop production is sustainable. To evaluate soil quality, a number of soil attributes will need to be measured, evaluated, and integrated into a soil-quality index using the multivariable indicator kriging (MVIK) procedure. This study was conducted to determine the spatial variability and correlation of indicator parameters on a field scale with respect to soil quality and suitability for use with MVIK. The variability of the biological parameters decreased in the order of respiration > enzyme assays and qCO2> microbial biomass C. The distribution frequency of all parameters except respiration were normal although the spatial distribution across the landscape was highly variable. The biological parameters showed little correlation with each other when all data points were considered; however, when grouped in smaller sections, the correlations were more consistent with observed patterns across the field. To accurately assess soil quality, and arable land use, consideration of spatial and temporal variability, soil conditions, and other controlling factors must be taken into account.
机译:可持续农业系统需要耕地来支持不断增长的人口。需要定义土壤质量,以确保用于农作物生产的新土地具有可持续性。为了评估土壤质量,将需要使用多变量指示克里格(MVIK)程序对许多土壤属性进行测量,评估并整合到土壤质量指数中。进行这项研究是为了确定田间尺度上指示剂参数的空间变异性和相关性,与土壤质量和MVIK的适用性有关。生物学参数的变异性以呼吸>酶测定和qCO2>微生物量C的顺序降低。除呼吸作用外,所有参数的分布频率均是正常的,尽管整个景观的空间分布变化很大。当考虑所有数据点时,生物学参数之间几乎没有相关性。但是,如果按较小的部分分组,则相关性与整个野外观察到的模式更加一致。为了准确评估土壤质量和耕地利用,必须考虑时空变化,土壤条件和其他控制因素。

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