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首页> 外文期刊>Journal of forest research >Litter carbon inputs to the mineral soil of Japanese Brown forest soils: comparing estimates from the RothC model with estimates from MODIS
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Litter carbon inputs to the mineral soil of Japanese Brown forest soils: comparing estimates from the RothC model with estimates from MODIS

机译:日本棕森林土壤矿物土壤中的废弃物碳输入量:将RothC模型的估算值与MODIS的估算值进行比较

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摘要

The level of organic carbon found in soil is the result of the balance between litter input to the soil and decomposition. Litter input to the soil is closely related to net primary production (NPP); at equilibrium, the NPP is equal to the litter input to soil. Plant litter input to a depth of 30 cm in the mineral soil was estimated for Japanese forest using the Rothamsted Carbon model (RothC) and an average value of soil organic carbon (SOC) content, and was compared with estimated litter inputs from the NPP dataset from Moderate Resolution Imaging Spectroradiometer (MODIS). A Monte Carlo uncertainty analysis of the input SOC was also conducted in order to reveal the sensitivity and uncertainty of the model to input SOC. The litter carbon input calculated using RothC and that derived from MODIS NPP were positively correlated, but the mean estimated litter input from RothC was 17.2% smaller than that estimated from MODIS. Mapping the normalized difference revealed spatial biases in the difference. The discrepancy was probably because of the different temperature controls for the MODIS algorithm and the RothC model, and also our simple assumption in the RothC calculation. This comparison reveals a close link between litter inputs estimated from SOC data and litter inputs estimated from satellite-based NPP data. The discrepancies between the estimates merit further study.
机译:土壤中发现的有机碳含量是向土壤中输入的垃圾与分解之间取得平衡的结果。垃圾输入土壤与净初级生产(NPP)密切相关;在平衡状态下,NPP等于土壤中的垫料输入量。使用Rothamsted Carbon模型(RothC)和土壤有机碳(SOC)的平均值,估算了日本森林在矿物土壤中深度为30 cm的植物凋落物,并与NPP数据集的估计凋落物输入进行了比较。由中等分辨率成像光谱仪(MODIS)提供。为了揭示模型对输入SOC的敏感性和不确定性,还对输入SOC进行了蒙特卡洛不确定性分析。使用RothC计算得出的垫料碳输入量与来自MODIS NPP的垫料碳输入量呈正相关,但RothC估算的垫料平均输入量比MODIS估算的低17.2%。映射归一化的差异将揭示差异中的空间偏差。差异可能是由于MODIS算法和RothC模型的温度控制不同,以及我们在RothC计算中的简单假设所致。这种比较揭示了根据SOC数据估算的垃圾输入与根据卫星NPP数据估算的垃圾输入之间的紧密联系。估计之间的差异值得进一步研究。

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