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Country-level carbon balance of forest soils: a country-specific model based on case studies in Hungary

机译:森林土壤的国家级碳平衡:基于匈牙利案例研究的特定国家模型

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摘要

International agreements require countries to annually report on greenhouse gas emissions and removals. For the land-use sector, this includes estimating stock changes in various carbon pools. For carbon pools like mineral forest soil where a country-level statistical inventory based on measurements is very difficult, models are usually applied together with data from case studies. In this paper, we present a country-specific model together with case studies that aim at capturing major soil processesdue to forestry activity. These processes include "hot moments", e.g., disturbances thai occur rarely but might result in relatively high emissions. The model only aims at developing a conservative estimate, rather than a centra! one, of net country-level carbon stock change with emissions overestimated and removals underestimated. The model is partially parameterised using paired sampling of soil organic carbon in the uppermost 30-cm layer, applying standard methods including those suggested by TPCC,in afforestations on former croplands and in artificial regenerations. Results show that soils of afforested croplands actas a sink, and carbon stock after regeneration might decrease due to disturbance by forest operations, but might also increase due to transfer of carbon from dead roots to soil depending on disturbance levels. The estimation al the country level, which involves additional considerations and data from the literature, suggests that overall, forest soils are a net sink in Hungary, but also that artificially limiting soil organic carbon changes estimation to the uppermost 30-cm layer as applied in the IPCCmethodology might lead to artefacts.
机译:国际协议要求各国每年报告温室气体的排放量和清除量。对于土地利用部门,这包括估算各种碳库中的存量变化。对于像矿物森林土壤这样的碳库,在这些国家,基于测量的国家级统计清单非常困难,通常将模型与案例研究中的数据一起应用。在本文中,我们提出了一个针对特定国家的模型以及一些案例研究,旨在捕获由于林业活动而造成的主要土壤过程。这些过程包括“热时刻”,例如,很少发生干扰,但可能导致相对较高的排放。该模型仅旨在建立一个保守的估计,而不是一个中心!一是国家一级的净碳储量变化,其排放量被高估而清除量被低估。该模型的部分参数是通过在最上层30厘米的土壤中有机碳的成对采样,并采用标准方法(包括TPCC建议的方法),在旧农田造林和人工更新中进行的。结果表明,绿化农田的土壤起汇聚作用,再生后的碳储量可能由于森林操作的干扰而减少,但也可能由于碳从死根转移到土壤而增加,具体取决于干扰水平。在国家一级进行的估算涉及文献中的其他考虑因素和数据,这表明,总体上,匈牙利的森林土壤是一个净汇,但人为地将土壤有机碳变化估算值限制在匈牙利的30厘米层IPCC方法可能会导致伪像。

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