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JULES-BE: representation of bioenergy crops and harvesting in the Joint UK Land Environment Simulator vn5.1

机译:Jules-be:在英国陆地环境模拟器VN5.1联合中的生物能量作物和收获的代表

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We describe developments to the land surface model JULES, allowing for flexible user-prescribed harvest regimes of various perennial bioenergy crops or natural vegetation types. Our aim is to integrate the most useful aspects of dedicated bioenergy models into dynamic global vegetation models, in order that assessment of bioenergy options can benefit from state-of-the-art Earth system modelling. A new plant functional type (PFT) representing Miscanthus is also presented. The Miscanthus PFT fits well with growth parameters observed at a site in Lincolnshire, UK; however, global observed yields of Miscanthus are far more variable than is captured by the model, primarily owing to the model's lack of representation of crop age and establishment time. Global expansion of bioenergy crop areas under a 2°C emissions scenario and balanced greenhouse gas mitigation strategy from the IMAGE integrated assessment model (RCP2.6-SSP2) achieves a mean yield of 4.3?billion tonnes of dry matter per year over 2040–2099, around 30% higher than the biomass availability projected by IMAGE. In addition to perennial grasses, JULES-BE can also be used to represent short-rotation coppicing, residue harvesting from cropland or forestry and rotation forestry.
机译:我们描述了对土地表面模型Jules的发展,允许灵活的用户规定的各种多年生生物能量作物或天然植被类型的收获制度。我们的目标是将专用生物能源模型的最有用方面整合到动态的全球植被模型中,以便评估生物能源选择可以从最先进的地球系统建模中受益。还提出了代表MISCANTHUS的新植物功能类型(PFT)。 Miscanthus pft适合在英国Lincolnshire的网站观察到的生长参数;然而,全球观察到的MISCanthus产量远远超过模型捕获的变量,主要原因是由于模型缺乏作物年龄和建立时间。从图像综合评估模型(RCP2.6-SSP2)的2°C排放场景和平衡的温室气体缓解策略下的生物能源作物区域的全球扩张(RCP2.6-SSP2)在2040-2099中每年达到每年4.3亿吨干物质的平均产量,比图像投影的生物质可用性高约30%。除了多年生草外,朱尔斯也可用于代表短旋转的舒适,残留物收获来自农田或林业和旋转林业。

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