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Separating Duff and Litter for Improved Mass and Carbon Estimates

机译:分离垃圾和垃圾,以改善质量和碳估算

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Mass and carbon load estimates, such as those from forest soil organic matter (cluff and litter), inform forestry decisions. The US Forest Inventory and Analysis (FIA) Program systematically collects data nationwide: a down woody material protocol specifies discrete duff and litter depth measurements, and a soils protocol specifies mass and carbon of duff and litter combined. Sampling duff and liner separately via the soils protocol would increase accuracy of subsequent bulk density calculations and mass and carbon estimates that use them. At 57 locations in North Carolina, Virginia, and West Virginia, we measured depth, mass, and carbon of duff and litter separately. Duff depth divided by total depth varied from 20% to 56%, duff was 1-4 times denser than litter, and the calculated median carbon-to-moss ratio for hardwood duff (0,37) was less than that for litter (0.45). Using FIA depth measurements, we calculated mass from (1) our mean density values, (2) a mass versus depth regression model we developed, and (3) published density values. Model mass calculations were lower than those using our mean densities, possibly because the latter ignore density differences with layer thickness. Our model could provide valuable mass and carbon estimates if fully developed with future FIA data (duff and litter separated).
机译:质量和碳负荷估算,例如来自森林土壤有机质(崖柏和垃圾)的估算,可为林业决策提供依据。美国森林清单和分析(FIA)计划在全国范围内系统地收集数据:低碳木质材料协议指定离散的粉煤灰和垃圾深度测量,土壤协议指定垃圾和垃圾的质量和碳组合。通过土壤规程分别对粉尘和衬里进行采样将提高后续堆积密度计算以及使用它们的质量和碳估算的准确性。在北卡罗莱纳州,弗吉尼亚州和西弗吉尼亚州的57个地点,我们分别测量了粉扑和垃圾的深度,质量和碳。 Duff深度除以总深度的范围从20%到56%,Duff的密度是垃圾的1-4倍,并且计算得出的硬木Duff的碳/苔藓中位数比率(0.37)小于垃圾的中位数(0.45) )。使用FIA深度测量,我们从(1)我们的平均密度值,(2)我们开发的质量与深度的回归模型以及(3)发布的密度值计算质量。模型质量的计算比使用我们的平均密度的计算低,这可能是因为后者忽略了层厚度的密度差异。如果使用未来的FIA数据(粉尘和垃圾分开)充分发展,我们的模型可以提供有价值的质量和碳估算。

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