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由于未被认识到的土壤侵蚀而导致的土壤碳核算中的不确定性。

Uncertainty in soil carbon accounting due to unrecognized soil erosion.

机构信息

CSIRO Sustainable Agriculture National Research Flagship, Adelaide, SA, 5064, Australia.

出版信息

Glob Chang Biol. 2013 Jan;19(1):264-72. doi: 10.1111/gcb.12030. Epub 2012 Oct 16.

Abstract

The movement of soil organic carbon (SOC) during erosion and deposition events represents a major perturbation to the terrestrial carbon cycle. Despite the recognized impact soil redistribution can have on the carbon cycle, few major carbon accounting models currently allow for soil mass flux. Here, we modified a commonly used SOC model to include a soil redistribution term and then applied it to scenarios which explore the implications of unrecognized erosion and deposition for SOC accounting. We show that models that assume a static landscape may be calibrated incorrectly as erosion of SOC is hidden within the decay constants. This implicit inclusion of erosion then limits the predictive capacity of these models when applied to sites with different soil redistribution histories. Decay constants were found to be 15-50% slower when an erosion rate of 15 t soil ha(-1)  yr(-1) was explicitly included in the SOC model calibration. Static models cannot account for SOC change resulting from agricultural management practices focused on reducing erosion rates. Without accounting for soil redistribution, a soil sampling scheme which uses a fixed depth to support model development can create large errors in actual and relative changes in SOC stocks. When modest levels of erosion were ignored, the combined uncertainty in carbon sequestration rates was 0.3-1.0 t CO2  ha(-1)  yr(-1) . This range is similar to expected sequestration rates for many management options aimed at increasing SOC levels. It is evident from these analyses that explicit recognition of soil redistribution is critical to the success of a carbon monitoring or trading scheme which seeks to credit agricultural activities.

摘要

土壤有机碳(SOC)在侵蚀和沉积事件中的迁移代表了陆地碳循环的主要干扰。尽管人们认识到土壤再分配对碳循环的影响,但目前很少有主要的碳核算模型允许土壤质量通量。在这里,我们修改了一个常用的 SOC 模型,增加了土壤再分配项,然后将其应用于探索未被识别的侵蚀和沉积对 SOC 核算影响的情景。我们表明,假设静态景观的模型可能会被错误校准,因为 SOC 的侵蚀隐藏在衰减常数中。这种对侵蚀的隐含包含限制了这些模型在应用于具有不同土壤再分配历史的地点时的预测能力。当在 SOC 模型校准中明确包含 15 t 土壤公顷(-1)年(-1)的侵蚀率时,衰减常数发现要慢 15-50%。静态模型无法解释由于侧重于降低侵蚀率的农业管理实践导致的 SOC 变化。如果不考虑土壤再分配,使用固定深度支持模型开发的土壤采样方案可能会导致 SOC 储量的实际和相对变化产生很大误差。当忽略适度的侵蚀水平时,碳封存率的综合不确定性为 0.3-1.0 t CO2 公顷(-1)年(-1)。这一范围与许多旨在增加 SOC 水平的管理选项的预期封存率相似。从这些分析中可以明显看出,明确认识土壤再分配对于寻求为农业活动提供信贷的碳监测或交易计划的成功至关重要。

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