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Spatial variability of organic layer thickness and carbon stocks in mature boreal forest stands-implications and suggestions for sampling designs

机译:北方成熟森林林分有机层厚度和碳储量的空间变异性-对抽样设计的启示和建议

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Accurate field measurements from inventories across fine spatial scales are critical to improve sampling designs and to increase the precision of forest C cycling modeling. By studying soils undisturbed from active forest management, this paper gives a unique insight in the naturally occurring variability of organic layer C and provides valuable references against which subsequent and future sampling schemes can be evaluated. We found that the organic layer C stocks displayed great short-range variability with spatial autocorrelation distances ranging from 0.86 up to 2.85 m. When spatial autocorrelations are known, we show that a minimum of 20 inventory samples separated by similar to 5 m is needed to determine the organic layer C stock with a precision of +/- 0.5 kg C m(-2). Our data also demonstrates a strong relationship between the organic layer C stock and horizon thickness (R-2 ranging from 0.58 to 0.82). This relationship suggests that relatively inexpensive measurements of horizon thickness can supplement soil C sampling, by reducing the number of soil samples collected, or to enhance the spatial resolution of organic layer C mapping.
机译:在精细的空间尺度上对清单进行准确的实地测量对于改善采样设计和提高森林碳循环建模的精度至关重要。通过研究不受主动森林管理影响的土壤,本文对有机层C的自然发生变化提供了独特的见识,并为后续和未来的采样方案提供了有价值的参考。我们发现有机层C储量显示出很大的短程变化,空间自相关距离范围为0.86至2.85 m。当已知空间自相关时,我们表明至少需要20个由大约5 m隔开的库存样本才能确定精度为+/- 0.5 kg C m(-2)的有机层C库存。我们的数据还证明了有机层C储量与地层厚度之间的密切关系(R-2的范围为0.58至0.82)。这种关系表明,相对便宜的地层厚度测量可以通过减少收集的土壤样本数量或增强有机层C测绘的空间分辨率来补充土壤C采样。

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