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LLWR Techniques for Quantifying Potential Soil Compaction Consequences of Crop Residue Removal

机译：LLWR技术用于量化作物残渣清除的潜在土壤压实后果

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Harvesting crop residues for bioenergy or bio-product production may decrease soil organic matter (SOM) content, resulting in the degradation of soil physical properties and ultimately soil productivity. Using the least limiting water range (LLWR) to evaluate improvement or degradation of soil physical properties in response to SOM changes has generally been hampered by the extensive amount of data needed to parameterize limiting factor models for crop production. Our objective was to evaluate five pedotransfer functions to determine their effectiveness in predicting soil water holding capacity in response to different SOM levels. Similarly, two other pedotransfer functions were evaluated to determine the effects of SOM on cone index values. Predictions of field capacity and wilting point water content as well as the cone index–water content–bulk density relationship of soil strength using the pedotransfer functions were compared with field data from two tillage experiments near Akron, CO that had a range of SOM concentrations. Equations previously developed by da Silva and Kay gave the best estimates of LLWR for the pedotransfer functions we evaluated. These equations were then used to illustrate LLWR changes in response to different soil and crop management practices on a Duroc loam near Sidney, NE. The results showed that tillage and, possibly, soil erosion decreased the LLWR as tillage intensity increased. Therefore, we recommend that crop residue removal rates be limited to rates that maintain or increase SOM content to ensure soil physical conditions are not degraded.
机译：收获用于生物能源或生物产品生产的农作物残留物可能会降低土壤有机质（SOM）含量，从而导致土壤物理性质下降，最终导致土壤生产力下降。通常，使用最小限度水域（LLWR）评估土壤物理特性对SOM变化的改善或退化，这对于参数化作物生产限制因素模型所需的大量数据通常不利。我们的目标是评估五个pedotransfer函数，以确定它们在响应不同SOM水平时预测土壤持水量方面的有效性。同样，评估了其他两个pedotransfer函数，以确定SOM对圆锥指数值的影响。使用pedotransfer函数对田间持水量和枯萎点水含量以及土壤强度的锥度指数-水分含量-堆积密度关系的预测与来自科罗拉多州阿克伦附近两个耕种实验的田间数据进行了比较，这些实验具有一定的SOM浓度。达席尔瓦（Da Silva）和凯（Kay）先前开发的方程式为我们评估的脚传传递函数提供了LLWR的最佳估计。然后，这些方程式被用来说明内布拉斯加州西德尼附近的杜洛克（Duroc）壤土对不同土壤和作物管理实践的响应。结果表明，耕作以及可能的土壤侵蚀会随着耕作强度的增加而降低LLWR。因此，我们建议将作物残留清除率限制为保持或增加SOM含量的速率，以确保土壤物理条件不会退化。

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