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A spatial and temporal drought risk assessment of three major tree species in Britain using probabilistic climate change projections

机译:使用概率气候变化预测对英国三种主要树种进行时空干旱风险评估

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Probabilistic climate data have become available for the first time through the UK Climate Projections 2009, so that the risk of change in tree growth can be quantified. We assessed the drought risk spatially and temporally using drought probabilities calculated from the weather generator data and tree species vulnerabilities using Ecological Site Classification model across Britain. We evaluated the drought impact on the potential yield class of three major tree species (Picea sitchensis, Pinus sylvestris, and Quercus robur), which cover around 59 % (400,700 ha) of state-managed forests, across the lowlands and uplands. We show that drought impacts result mostly in reduced tree growth over the next 80 years when using B1, A1B, and A1FI IPCC emissions scenarios, but varied spatially. We found a maximum reduction of 94 % but also a maximum increase of 56 % in potential stand yield class in the 2080s from the baseline climate (1961-1990). Furthermore, potential production over the state-managed forests for all three species in the 2080s is estimated to decrease due to drought by 42 % in the lowlands and by 32 % in the uplands in comparison to the baseline climate. Our results reveal that potential tree growth and forest production on the state-managed forests in Britain is likely to reduce, and indicate where and when adaptation measures are required. Moreover, this paper demonstrates the value of probabilistic climate projections for an important economic and environmental sector
机译:概率气候数据已在2009年英国气候预测中首次获得,因此可以量化树木生长变化的风险。我们使用从天气产生器数据计算出的干旱概率和英国生态站点分类模型中的树木物种脆弱性,在时空上评估了干旱风险。我们评估了干旱对三种主要树种(Picea sitchensis,Pinus sylvestris和Quercus robur)的潜在产量的影响,这三种树种覆盖了低地和高地上约59%(400,700公顷)的国家管理森林。我们显示,在使用B1,A1B和A1FI IPCC排放情景的情况下,干旱影响主要会导致未来80年树木生长减少,但在空间上会有所不同。我们发现,从基准气候(1961-1990年)到2080年代,潜在林分产量类别最大减少94%,但最大增加56%。此外,据估计,由于干旱,与基准气候相比,由于干旱,低地上所有三种物种在国家管理森林上的潜在产量下降了42%,而高地上则下降了32%。我们的结果表明,在英国国家管理的森林中,潜在的树木生长和森林生产可能会减少,并表明需要在何时何地采取适应措施。此外,本文证明了概率性气候预测对重要的经济和环境部门的价值

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