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Farmer perceptions of soil quality and their relationship to management-sensitive soil parameters

机译:农民对土壤质量的认识及其与管理敏感的土壤参数的关系

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A critical step in the quantification of soil quality (SQ) is the selection of SQ benchmarks. The benchmarks used in this study were SQ ratings made by 32 farmer collaborators representing a range of farming systems, scales of operation and geographiclocations in the Mid-Atlantic region of USA. Soils from 45 pairs of sites identified by their farmers as having good and poor SQ were sampled over three seasons and analyzed for 19 soil parameters. Farmer judgments of SQ were based on many factors, mostcommonly soil organic matter, crop performance, soil water availability and erosion history. Selected individual soil parameters were normalized and integrated into an additive SQ index (SQI). Three additional indices were developed using discriminant analysis. The level of agreement between individual parameters, SQIs and farmer SQ ratings was evaluated using paired Mests and mean percent difference values. The additive SQI was found to have the highest level of agreement with farmer SQ ratings (P< 0.0001), demonstrating that a linear combination of soil parameters can be assembled that is more in agreement with holistic SQ criteria, such as farmer SQ ratings, than individual soil parameters. Extractable C from microwave (MW) sterilized soil (a measure of microbial biomass) was the individual parameter that best agreed with farmer SQ ratings (P< 0.0001). Five additional soil C parameters, as well as aggregate stability, also agreed well with farmer SQ ratings (all P values < 0.0005). The three parameters with the highest ratio of mean percent difference to coefficient of variation (an indication of parameter reliability) were extractable C from MW sterilized soil, anthrone reactive C and macroaggregate stability (14.2, 7.7 and 3.7, respectively). Mineral fertility parameters (pH, Ca, Ca: Mg ratio, P and K) were not significantly related to farmer SQ ratings (P values >0.05). The strong relationships observed between soil C parameters, soil structural parameters and farmer SQ ratings suggest that efforts to improve SQ in the study region should focus on monitoring and enhancement of soil C and soil structure.
机译:土壤质量(SQ)量化的关键步骤是选择SQ基准。本研究中使用的基准是由32位农民合作者制定的SQ等级,代表了美国中大西洋地区的一系列耕作制度,经营规模和地理位置。在三个季节中对他们的农民确定的SQ好坏的45对地点的土壤进行了采样,并分析了19个土壤参数。农民对SQ的判断基于许多因素,最常见的是土壤有机质,农作物性能,土壤水分利用率和侵蚀历史。将选定的各个土壤参数归一化并整合到累加SQ指数(SQI)中。使用判别分析开发了三个附加指标。使用成对的Mest和平均百分比差异值评估各个参数,SQI和农民SQ等级之间的一致性水平。发现添加的SQI与农民的SQ等级具有最高的一致性(P <0.0001),这表明土壤参数的线性组合可以与农民的SQ等级等整体SQ标准更一致。各个土壤参数。从微波(MW)灭菌土壤中提取的碳(一种微生物生物量)是最能符合农民SQ等级的个体参数(P <0.0001)。另外五个土壤碳参数以及骨料稳定性也与农民的SQ等级非常吻合(所有P值<0.0005)。平均百分率与变异系数之比最高的三个参数(参数可靠性的指标)是微波消毒土壤中可提取的碳,蒽酮活性碳和大骨料的稳定性(分别为14.2、7.7和3.7)。矿物质的肥力参数(pH,Ca,Ca:Mg比,P和K)与农民的SQ等级无关(P值> 0.05)。在土壤碳参数,土壤结构参数和农民的SQ等级之间观察到的密切关系表明,在研究区域改善SQ的工作应着重于监测和增强土壤碳和土壤结构。

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