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首页> 外文期刊>Aspects of Applied Biology >Moving from reactive to proactive modelling of agricultural greenhouse gas mitigation
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Moving from reactive to proactive modelling of agricultural greenhouse gas mitigation

机译:从反应性建模到主动型农业温室气体减排建模

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摘要

Greenhouse gas (GHG) emissions from agriculture, land use, land use change and forestry (ALULUCF) are a significant percentage of UK emissions. This means that as the UK and devolved administrations set ambitious emissions reductions targets, the ALULUCF sectors will come under increasing scrutiny and pressure to reduce emissions. In order to address this, the Committee on Climate Change (CCC) commissioned a project developing marginal abatement cost curves (MACCs) for greenhouse gas mitigation in the ALULUCF sectors. As with many policy-relevant questions, the project constraints led to a largely reactive process with numerous enforced shortcuts in the integration process. On reflection, it is easy to identify areas where the analysis could be improved. However, accuracy comes at a cost, and a more challenging task is to identify the optimal level of analysis.
机译:农业,土地利用,土地利用变化和林业(ALULUCF)产生的温室气体(GHG)排放量占英国排放量的很大比例。这意味着,随着英国和权力下放的政府制定宏伟的减排目标,ALUCLUF部门将受到越来越多的审查和减少排放的压力。为了解决这个问题,气候变化委员会(CCC)委托开展了一个项目,以开发减少边际减排成本曲线(MACC)来缓解ALULUCF部门的温室气体排放。与许多与政策相关的问题一样,项目约束导致了很大程度上是被动的过程,在集成过程中存在许多强制执行的快捷方式。通过反思,很容易确定可以改进分析的领域。但是,准确性是有代价的,而更具挑战性的任务是确定最佳分析水平。

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