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Impact of modelling choices on setting the reference levels for the EU forest carbon sinks: how do different assumptions affect the country-specific forest reference levels?

机译:建模选择对欧盟森林碳汇的参考水平的影响:不同的假设如何影响国家特定的森林参考水平?

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In 2018, the European Union (EU) adopted Regulation 2018/841, which sets the accounting rules for the land use, land use change and forestry (LULUCF) sector for the period 2021-2030. This regulation is part of the EU's commitments to comply with the Paris Agreement. According to the new regulation, emissions and removals for managed forest land are to be accounted against a projected forest reference level (FRL) that is estimated by each EU Member State based on the continuation of forest management practices of the reference period 2000-2009. The aim of this study is to assess how different modelling assumptions possible under the regulation may influence the FRL estimates. Applying the interlinked G4M and WoodCarbonMonitor modelling frameworks, we estimate potential FRLs for each individual EU Member State following a set of conceptual scenarios, each reflecting different modelling assumptions that are consistent with the regulation and the technical guidance document published by the European Commission. The simulations of the conceptual scenarios show that differences in the underlying modelling assumptions may have a large impact on the projected FRL. Depending on the assumptions taken, the projected annual carbon sink on managed forest land in the EU varies from -319 MtCO2 to -397 MtCO2 during the first compliance period (2021-2025) and from -296 MtCO2 to -376 MtCO2 during the second compliance period (i.e. 2026-2030). These estimates can be compared with the 2017 national GHG inventories which estimated that the forest carbon sink for managed forest land was -373 MtCO2 in 2015. On an aggregated EU level, the assumptions related to climate change and the allocation of forest management practices have the largest impacts on the FRL estimates. On the other hand, assumptions concerning the starting year of the projection, stratification of managed forest land, and timing of individual management activities are found to have relatively small impacts on the FRL estimates. We provide a first assessment of the level of uncertainty associated with the different assumptions discussed in the technical guidance document and the LULUCF regulation, and the impact of these assumptions on the country-specific FRL. The results highlight the importance of transparent documentation by the EU Member States on how their FRL has been calculated, and on the underlying assumptions.
机译:2018年,欧洲联盟(欧盟)通过了2018/841年第2018/841号法规,该规则设定了2021 - 2013年期间土地利用,土地利用变革和林业(Lulucf)部门的会计规则。该监管是欧盟遵守巴黎协定的承诺的一部分。根据新的监管,管理森林土地的排放和除去应根据每个欧盟成员国估计的预计森林参考级(FRL),根据2000-2009的参考期的森林管理实践延续估计。本研究的目的是评估规则下可能不同的建模假设如何影响FRL估计。应用互通的G4M和WoodcarbonMonitor建模框架,我们在一系列概念场景之后估算每个欧盟成员国的潜在FRL,每个方案都反映了与欧盟委员会发布的规定和技术指导文件一致的不同建模假设。概念场景的模拟表明,底层建模假设的差异可能对投影的FRL产生很大的影响。根据所采取的假设,欧盟管理林地的预计年碳汇在第一个合规期(2021-2025)期间从-319 MTCO2到-397 MTCO2等于 - 在第二份合规期间从-296 MTCO2到-376 MTCO2期间(即2026-2030)。这些估计值可以与2017年国家温室气体清单进行比较,估计植物林地的森林碳汇在2015年--373 MTCO2。在汇总欧盟层面,与气候变化有关的假设和森林管理惯例的分配有对FRL估计的最大影响。另一方面,发现关于投影开始,管理林地分层以及个人管理活动的时间的假设对FRL估计产生了相对较小的影响。我们提供了与技术指导文件和Lulucf监管中讨论的不同假设相关的不确定性水平的第一次评估,以及这些假设对特定国家的FRL的影响。结果突出了欧盟成员国对其FRL的计算方式以及潜在的假设的透明文件的重要性。

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