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Greenhouse gas emissions from four bioenergy crops in England and Wales: Integrating spatial estimates of yield and soil carbon balance in life cycle analyses

机译:英格兰和威尔士四种生物能源作物的温室气体排放:在生命周期分析中整合产量和土壤碳平衡的空间估算

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Accurate estimation of the greenhouse gas (GHG) mitigation potential of bioenergy crops requires the integration of a significant component of spatially varying information. In particular, crop yield and soil carbon (C) stocks are variables which are generally soil type and climate dependent. Since gaseous emissions from soil C depend on current C stocks, which in turn are related to previous land management it is important to consider both previous and proposed future land use in any C accounting assessment. We have conducted a spatially explicit study for England and Wales, coupling empirical yield maps with the RothC soil C turnover model to simulate soil C dynamics. We estimate soil C changes under proposed planting of four bioenergy crops, Miscanthus ( Miscanthus ???? giganteus ), short rotation coppice (SRC) poplar ( Populus trichocarpa Torr. & Gray ???? P. trichocarpa , var. Trichobel), winter wheat, and oilseed rape. This is then related to the former land use ?¢???? arable, pasture, or forest/seminatural, and the outputs are then assessed in the context of a life cycle analysis (LCA) for each crop. By offsetting emissions from management under the previous land use, and considering fossil fuel C displaced, the GHG balance is estimated for each of the 12 land use change transitions associated with replacing arable, grassland, or forest/seminatural land, with each of the four bioenergy crops. Miscanthus and SRC are likely to have a mostly beneficial impact in reducing GHG emissions, while oilseed rape and winter wheat have either a net GHG cost, or only a marginal benefit. Previous land use is important and can make the difference between the bioenergy crop being beneficial or worse than the existing land use in terms of GHG balance.
机译:准确估算生物能源作物的温室气体(GHG)缓解潜力需要整合空间变化信息的重要组成部分。特别是,农作物的产量和土壤碳(C)储量是变量,通常取决于土壤类型和气候。由于土壤碳的气体排放取决于当前的碳储量,而碳储量又与先前的土地管理有关,因此在任何碳会计评估中都必须考虑先前和拟议的未来土地用途。我们对英格兰和威尔士进行了空间明确的研究,将经验产量图与RothC土壤C周转模型相结合,以模拟土壤C动力学。我们估计了拟议种植的四种生物能源作物,即芒草(Miscanthus ???? giganteus),杨树短旋转(SRC)杨树(Populus trichocarpa Torr。和Grey ???? P. trichocarpa,变种Trichobel),下的土壤碳变化。冬小麦和油菜。然后这与以前的土地使用有关?耕地,牧场或森林/半自然,然后在每种作物的生命周期分析(LCA)中评估产量。通过抵消先前土地使用下的管理排放,并考虑化石燃料C的替代,估算与替换耕地,草地或森林/半自然用地相关的12个土地使用变化过渡中的每一个的温室气体平衡,生物能源作物。芒草和SRC可能在减少温室气体排放方面产生最有利的影响,而油菜和冬小麦则具有温室气体净成本,或仅具有边际效益。以前的土地用途很重要,并且就温室气体平衡而言,生物能源作物与现有土地用途之间的区别是有益的还是不利的。

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