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首页> 外文期刊>Soil Science Society of America Journal >An Accurate and Efficient Method for Sorting Biomass Extracted from Soil Cores Using Point-Intercept Sampling
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An Accurate and Efficient Method for Sorting Biomass Extracted from Soil Cores Using Point-Intercept Sampling

机译：使用点截取采样对土壤核心中提取的生物质进行分类的一种准确高效的方法

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We describe a point-intercept sampling technique that reduces the time and therefore the cost associated with hand sorting biomass extracted from soil cores. Typically, organic material that has been extracted from soil cores is painstakingly separated into categories such as roots, leaves, and unidentifiable organic matter so that each can be weighed. With the point-intercept method, we spread the extracted organic material over a grid and record the category of randomly located point intercepts within grid cells. The proportion of each category determined via point intercepts is then attributed to the total dry mass of the organic material. With a subset of our data, we determined ordinary least squares regression relationships between hand-sorted (census) and point-intercept (sample) estimates of the belowground biomass components roots, aboveground detritus, and soil organic matter. We then applied these regression models to the remainder of our data, which had been hand sorted to serve as a validation dataset. Using bootstrapped 95% confidence intervals of the ordinary least squares (OLS) bisector slope estimate, we found no significant differences between the point-intercept and hand-sorted values for all three belowground biomass components. The time saved sorting belowground biomass by the point-intercept method (15 min core–1) allowed us to process 43% more cores during the same period. We applied the same technique to components of aboveground herbaceous biomass, but with less success because these pools tended to be less uniformly distributed throughout the sample layer. We recommend the approach for sorting belowground biomass components from soil cores, but the method requires more development before being used to sort other ecosystem components.
机译：我们描述了一种点截取采样技术，该技术可减少 的时间，并因此减少与从土壤核心中提取生物质的手分类相关的成本。通常，将从土壤核心中提取的有机物质 精心地分离 到根，叶和无法识别的有机 物质等类别中，以便每个可以称重。使用点截距 方法，我们将提取的有机材料分布在网格 上，并记录网格单元中随机定位的点截距 的类别。然后，通过点截距确定的每个类别的比例归因于有机材料的总干质量 。使用我们的数据子集，我们确定了手工排序的 （人口普查）与地下 <的点截距（样本）估计之间的 常规最小二乘回归关系。 / sup>生物量成分的根，地上碎屑和土壤有机物 。然后，我们将这些回归模型应用于数据的其余部分 ，这些数据已经过手工排序以用作验证 数据集。使用 普通最小二乘（OLS）平分线斜率估计值的自举95％置信区间，我们发现 点截距和手工排序的 < / sup>所有三个地下生物质成分的值。时间 通过点截取法 （15分钟core –1 ）节省了对地下生物量的分类，这使我们在< sup> 同一时期。我们对地上草本生物质的组分 应用了相同的技术，但效果不佳，因为 这些池在整个 样品层中分布较不均匀。我们建议从土壤核心中分类地下 生物量组成部分的方法，但是该方法需要 更多的开发才能用于分类其他生态系统组成部分。

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