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Uncertainties in projected impacts of climate change on European agriculture and terrestrial ecosystems based on scenarios from regional climate models

机译:基于区域气候模型的情景,气候变化对欧洲农业和陆地生态系统的预计影响的不确定性

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摘要

The uncertainties and sources of variation in projected impacts of climate change on agriculture and terrestrial ecosystems depend not only on the emission scenarios and climate models used for projecting future climates, but also on the impact models used, and the local soil and climatic conditions of the managed or unmanaged ecosystems under study. We addressed these uncertainties by applying different impact models at site, regional and continental scales, and by separating the variation in simulated relative changes in ecosystem performance into the different sources of uncertainty and variation using analyses of variance. The crop and ecosystem models used output from a range of global and regional climate models (GCMs and RCMs) projecting climate change over Europe between 1961–1990 and 2071–2100 under the IPCC SRES scenarios. The projected impacts on productivity of crops and ecosystems included the direct effects of increased CO2 concentration on photosynthesis. The variation in simulated results attributed to differences between the climate models were, in all cases, smaller than the variation attributed to either emission scenarios or local conditions. The methods used for applying the climate model outputs played a larger role than the choice of the GCM or RCM. The thermal suitability for grain maize cultivation in Europe was estimated to expand by 30–50% across all SRES emissions scenarios. Strong increases in net primary productivity (NPP) (35–54%) were projected in northern European ecosystems as a result of a longer growing season and higher CO2 concentrations. Changing water balance dominated the projected responses of southern European ecosystems, with NPP declining or increasing only slightly relative to present-day conditions. Both site and continental scale models showed large increases in yield of rain-fed winter wheat for northern Europe, with smaller increases or even decreases in southern Europe. Site-based, regional and continental scale models showed large spatial variations in the response of nitrate leaching from winter wheat cultivation to projected climate change due to strong interactions with soils and climate. The variation in simulated impacts was smaller between scenarios based on RCMs nested within the same GCM than between scenarios based on different GCMs or between emission scenarios.
机译:气候变化对农业和陆地生态系统的预计影响的不确定性和变化来源不仅取决于用于预测未来气候的排放情景和气候模型,还取决于所使用的影响模型以及当地的土壤和气候条件研究中的有管理或无管理的生态系统。我们通过在站点,区域和大陆规模上应用不同的影响模型,以及通过使用方差分析将生态系统性能的模拟相对变化的变化分为不同的不确定性和变化源,来解决这些不确定性。作物和生态系统模型使用了一系列全球和区域气候模型(GCM和RCM)的输出,这些模型预测了IPCC SRES情景下1961–1990年至2071–2100年欧洲的气候变化。预计对作物和生态系统生产力的影响包括二氧化碳浓度升高对光合作用的直接影响。在所有情况下,归因于气候模型之间差异的模拟结果差异均小于归因于排放情景或当地条件的差异。与选择GCM或RCM相比,用于应用气候模型输出的方法起着更大的作用。据估计,在所有SRES排放情景下,欧洲谷物玉米种植的热适应性都将提高30-50%。由于生长季节延长和二氧化碳浓度升高,预计北欧生态系统的净初级生产力(NPP)将大幅增加(35-54%)。水平衡的变化主导了南部欧洲生态系统的预测响应,NPP相对于当前状况下降或仅略有增加。站点和大陆规模模型均显示,北欧雨养冬小麦单产大幅增加,而欧洲南部单产甚至小幅下降。基于站点的区域和大陆尺度模型显示,由于与土壤和气候的强烈相互作用,从冬小麦种植到预计的气候变化,硝酸盐淋失的响应具有很大的空间差异。基于嵌套在同一GCM中的RCM的方案之间的模拟影响差异要小于基于不同GCM的方案之间或排放方案之间的模拟影响差异。

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  • 来源
    《Climatic Change》 |2007年第s1期|123-143|共21页
  • 作者单位

    Danish Institute of Agricultural Sciences Department of Agroecology Research Centre Foulum P.O. Box 50 8830 Tjele Denmark;

    Finnish Environment Institute Box 140 00251 Helsinki Finland;

    Depto. de Producción Vegetal Universidad Politécnica de Madrid Avda. Compluense s 28040 Madrid Spain;

    Finnish Environment Institute Box 140 00251 Helsinki Finland;

    Danish Institute of Agricultural Sciences Department of Agroecology Research Centre Foulum P.O. Box 50 8830 Tjele Denmark;

    Centre for Geobiosphere Science Department of Physical Geography and Ecosystems Analysis Lund University Sölvegatan 37 22362 Lund Sweden;

    Climatic Research Unit University of East Anglia University Plain NR4 7TJ Norwich UK;

    Depto. de Producción Vegetal Universidad Politécnica de Madrid Avda. Compluense s 28040 Madrid Spain;

    Centre for Geobiosphere Science Department of Physical Geography and Ecosystems Analysis Lund University Sölvegatan 37 22362 Lund Sweden;

    Hadley Centre Met Office Fitzroy Road Exeter Devon EX1 3PB UK;

    Depto. de Producción Vegetal Universidad Politécnica de Madrid Avda. Compluense s 28040 Madrid Spain;

    Depto. de Producción Vegetal Universidad Politécnica de Madrid Avda. Compluense s 28040 Madrid Spain;

    Danish Institute of Agricultural Sciences Department of Agroecology Research Centre Foulum P.O. Box 50 8830 Tjele Denmark;

    Depto. de Biologia Vegetal Universidad Politécnica de Madrid Avda. Complutense s 28040 Madrid Spain;

    Centre for Geobiosphere Science Department of Physical Geography and Ecosystems Analysis Lund University Sölvegatan 37 22362 Lund Sweden;

    Centre for Geobiosphere Science Department of Physical Geography and Ecosystems Analysis Lund University Sölvegatan 37 22362 Lund Sweden;

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