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首页> 外文期刊>Transactions of the ASABE >Soil drying effects on spatial variability of soil hardpan attributes on Pacolet sandy loam soil.
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Soil drying effects on spatial variability of soil hardpan attributes on Pacolet sandy loam soil.

机译:土壤干燥对Pacolet沙质壤土上土壤硬度特征空间变异性的影响。

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摘要

Soil hardpans found in many of the southeastern U.S. soils reduce crop yields by restricting the root growth. Site-specific soil compaction management to alleviate this problem requires determination of the spatial variability and mapping of soil hardpans. The objective of this study was to determine the spatial variability of soil hardpan as influenced by soil moisture. Geo-referenced soil cone index measurements were taken in 200 grid cells (10 m x 10 m grid cell size) on Pacolet sandy loam soil (fine, kaolinitic, thermic Typic Kanhapludults) in Auburn, Alabama, on 29 June and 25 August 2004, representing "wet" and "dry" soil measurement dates. Core samples were also taken in 5 cm depth increments up to a depth of 65 cm for soil moisture and bulk density determinations. Statistical and geostatistical methods were used for the data analysis. In the 0-35 cm depth, the soil moisture had dried significantly by 25 August 2004 (dry) as compared to the soil moisture on 29 June 2004 (wet; P<0.0001). An isotropic spherical semivariogram model best fit the semivariances of the peak cone index for wet (R2=0.98) and dry (R2=0.97) soil conditions. Soil drying increased the peak cone index and the maximum semivariance value (sill). Small but statistically significant differences (P<0.0001) were also observed on the depth to the peak cone index as the soil dried in the 0-35 cm depth. In the dry soil condition, the semivariances of the depth to the peak cone index were nearly constant over the separation distances, suggesting that the depth to the hardpan did not exhibit substantial spatial dependence.
机译:在美国东南部的许多土壤中发现的土壤硬pan通过限制根的生长而降低了农作物的产量。为减轻这一问题,针对特定地点的土壤压实管理需要确定空间变异性并确定土壤硬地表。这项研究的目的是确定受土壤水分影响的土壤硬土的空间变异性。 2004年6月29日至8月25日,在阿拉巴马州奥本市的Pacolet沙质壤土(细,高岭土,典型Typic Kanhapludults)上的200个网格单元(10 mx 10 m网格单元大小)中进行了以地理为参考的土壤锥指数测量,分别代表“湿”和“干”土壤测量日期。还以5 cm的深度增量采集核心样品,直至65 cm的深度,以测定土壤湿度和堆积密度。统计和地统计方法用于数据分析。与2004年6月29日的土壤水分(湿; P <0.0001)相比,在0-35厘米深处,土壤水分在2004年8月25日之前已经干燥(干燥)。各向同性球面半变异函数模型最适合湿(R 2 = 0.98)和干(R 2 = 0.97)土壤条件下峰值圆锥指数的半方差。土壤干燥会增加峰值圆锥指数和最大半方差值(窗台)。当土壤在0-35厘米深处干燥时,在峰值锥指数的深度上也观察到微小但具有统计学意义的差异( P <0.0001)。在干燥土壤条件下,深度与峰值锥指数的半变异在分离距离上几乎是恒定的,这表明到硬盘的深度没有表现出明显的空间依赖性。

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