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首页> 外文期刊>Soil Science Society of America Journal >Identification of Regional Soil Quality Factors and Indicators: II. Northern Mississippi Loess Hills and Palouse Prairie
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Identification of Regional Soil Quality Factors and Indicators: II. Northern Mississippi Loess Hills and Palouse Prairie

机译:确定区域土壤质量因素和指标:II。北部密西西比州的黄土丘陵和帕卢斯大草原

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摘要

Diversity of soil series present in a region may hinder identification of soil quality factors and indicators at a regional scale. Our objectives were (i) to identify soil quality factors for a diverse population of soils at the regional scale, (ii) to determine which factors vary significantly with land use, (iii) to select indicators from these factors that can be used with the National Resource Inventory (NRI) for monitoring soil quality, and (iv) to compare these results to a similar study involving only a single soil series. One hundred eighty-six points representing 75 soil series in the Northern Mississippi Valley Loess Hills and 149 points representing 58 soil series in Palouse and Nez Perce Prairies were sampled from a statistically representative subset of NRI sample points and analyzed for 20 soil attributes. Factor analysis was used to identify soil quality factors and discriminant analysis was used to identify factors and indicators most sensitive to land use within each region. In the Northern Mississippi Valley Loess Hills, five soil quality factors were identified. Discriminant analysis selected potentially mineralizable N (PMN), microbial biomass C (MBC), water stable aggregates (WSA), and total organic C (TOC) as the most discriminating attributes between land uses. In the Palouse and Nez Perce Prairies, six factors were identified. Discriminant analysis selected TOC and total N as the most discriminating attributes between land uses. The soil quality factors were similar among three of the four regions, but TOC was the only indicator common to all regions for distinguishing among land uses.
机译:一个区域中存在的土壤序列的多样性可能会阻碍在区域范围内对土壤质量因子和指标的识别。 我们的目标是(i)识别 区域尺度上的多种土壤,(ii) 确定哪些因素随土地使用而显着变化,(iii) 从中选择指标可以与 国家资源清单(NRI)一起用于监测土壤质量的因素, 和(iv)将这些结果与涉及 的类似研究进行比较sup>只有一个土壤系列。 146个点代表北密西西比河谷黄土丘陵的 75个土壤系列,149个点代表Palouse和Nez Perce的58个土壤系列从具有代表性的NRI样本点的子集采样草原并分析20种土壤属性。因子分析用于识别土壤质量因子和 判别分析用于确定每个区域内对土地使用最敏感的因素和指标。在密西西比河谷北部的黄土丘陵地区,确定了五个土壤质量因子 。判别分析选择了潜在可矿化的 N(PMN),微生物生物量C(MBC),水稳定聚集体 (WSA)和总有机碳(TOC)作为最能区分的< sup> 在土地用途之间的归属。在Palouse和Nez Perce草原,确定了 六个因素。判别分析选择了 TOC和总N作为 土地使用之间最有区别的属性。在四个区域中的三个 中,土壤质量因子相似,但是TOC是 所有区域共有的唯一用于区分土地用途的指标。

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  • 来源
    《Soil Science Society of America Journal》 |2000年第6期|2125-2135|共11页
  • 作者单位

    USDA-ARS, Wheat, Sorghum, and Forage Res. Unit, 344 Keim Hall, Univ. of Nebraska, Lincoln, NE 68583 USA,Dep. Soil, Water, and Climate, 1991 Buford Circle, Univ. Minn., St. Paul, MN 55108 USA;

    USDA-ARS, National Soil Tilth Lab, 2150 Pammel Drive, Ames, IA 50011 USA,Dep. Soil, Water, and Climate, 1991 Buford Circle, Univ. Minn., St. Paul, MN 55108 USA;

    USDA-ARS, 215 Johnson Hall, Washington State Univ., Pullman, WA 99164-6421 USA,Dep. Soil, Water, and Climate, 1991 Buford Circle, Univ. Minn., St. Paul, MN 55108 USA;

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