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Climate change impacts on vegetation and water cycle in the Euro-Mediterranean region, studied by a likelihood approach

机译:通过似然法研究气候变化对欧洲-地中海地区植被和水循环的影响

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摘要

Scientific community and policy-makers share the common interest in identifying and evaluating potential impacts of climate change on ecosystems, relying mainly on probabilistic methods of exploring the risks. In this perspective, the concept of ensemble forecasting makes possible to handle uncertainties associated with climate risk analysis by focusing on a range of potential or probable impact scenarios rather than actualizing a single case. In this paper, an ensemble of simulations based on the Lund-Potsdam-Jena (LPJ) model was used to investigate the uncertainty upon predictions of the future Euro-Mediterranean vegetation distribution, carbon dynamics, and water budget. Twenty simulations from past to future were based on the combination of different climate inputs, vegetation model parameterizations, and configurations. The evaluation of results combined the separate deterministic future projections from the LPJ model into a single probabilistic projection, associating a likelihood degree in accordance with the most recent Intergovernmental Panel on Climate Change terminology. Results projected a general critical situation in terms of water availability, made more serious if considering that also the occurrence of extreme-related events, e.g., fires, is expected to become more frequent as favored by more recurrent drought episodes. Although more uncomfortable climate conditions were projected for vegetation, net primary production (NPP) was predicted to increase due to the potential enrichment of CO_2 in atmosphere and its fertilization effects on vegetation. The combination of rising NPP and fire frequency may shape the carbon cycle components, as the carbon losses by fire also were projected to increase.
机译:科学界和政策制定者在识别和评估气候变化对生态系统的潜在影响方面有着共同的利益,主要依靠探索风险的概率方法。从这个角度来看,整体预报的概念使得通过关注一系列潜在或可能的影响情景而不是单个案例来处理与气候风险分析相关的不确定性成为可能。在本文中,基于Lund-Potsdam-Jena(LPJ)模型的一组模拟被用来调查关于未来欧洲-地中海植被分布,碳动态和水预算的预测的不确定性。过去到将来的二十次模拟是基于不同气候输入,植被模型参数化和配置的组合。结果评估将来自LPJ模型的单独的确定性未来预测组合为单个概率预测,并根据最新的政府间气候变化专门委员会术语将可能性程度进行关联。结果预测了水资源的一般性危急情况,如果考虑到极端相关事件(例如火灾)的发生预计会由于频繁发生的干旱事件而变得更加频繁,则情况将更加严重。尽管预计植被会出现更不舒适的气候条件,但由于大气中CO_2的潜在富集及其对植被的施肥作用,净初级生产(NPP)预计会增加。 NPP上升和火灾频率的组合可能会影响碳循环成分,因为火灾造成的碳损失也预计会增加。

著录项

  • 来源
    《Regional Environmental Change》 |2014年第4期|1405-1418|共14页
  • 作者单位

    Division on Impacts on Agriculture, Forest and Natural Ecosystems (IAFENT), Centro Euro-Mediterraneo sui Cambiamenti Climatici (CMCC), via Antonio Pacinotti 5, 01100 Viterbo, Italy,Department for Innovation in Biological. Agro-Food and Forest Systems (DIBAF), University of Tuscia, via San Camillo de Lellis snc, 01100 Viterbo, Italy;

    Division on Impacts on Agriculture, Forest and Natural Ecosystems (IAFENT), Centro Euro-Mediterraneo sui Cambiamenti Climatici (CMCC), via Antonio Pacinotti 5, 01100 Viterbo, Italy,Department for Innovation in Biological. Agro-Food and Forest Systems (DIBAF), University of Tuscia, via San Camillo de Lellis snc, 01100 Viterbo, Italy;

    Division on Impacts on Agriculture, Forest and Natural Ecosystems (IAFENT), Centro Euro-Mediterraneo sui Cambiamenti Climatici (CMCC), via Antonio Pacinotti 5, 01100 Viterbo, Italy,Department for Innovation in Biological. Agro-Food and Forest Systems (DIBAF), University of Tuscia, via San Camillo de Lellis snc, 01100 Viterbo, Italy;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Ensemble projections; Likelihood; DGVM; Euro-Mediterranean area; IPCC;

    机译:集合投影;可能性DGVM;欧洲地中海地区;IPCC;

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