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土地利用和气候变化对水生态系统的影响:模型耦合与不确定性分解。

Effects of changes in land use and climate on aquatic ecosystems: Coupling of models and decomposition of uncertainties.

机构信息

Aarhus University, Department of Bioscience, Silkeborg, Denmark; Sino-Danish Center for Education and Research (SDC), Aarhus, Denmark; Sino-Danish Center for Education and Research (SDC), Beijing, China.

Aarhus University, Department of Bioscience, Silkeborg, Denmark.

出版信息

Sci Total Environ. 2019 Mar 20;657:627-633. doi: 10.1016/j.scitotenv.2018.12.055. Epub 2018 Dec 5.

Abstract

To analyse the potential future ecological state of estuaries located in the temperate climate (here exemplified with the Odense Fjord estuary, Denmark), we combined end-of-the-century climate change projections from four different climate models, four contrasting land use scenarios ("Agriculture for nature", "Extensive agriculture", "High-tech agriculture" and "Market driven agriculture") and two different eco-hydrological models. By decomposing the variance of the model-simulated output from all scenario and model combinations, we identified the key sources of uncertainties of these future projections. There was generally a decline in the ecological state of the estuary in scenarios with a warmer climate. Strikingly, even the most nature-friendly land use scenario, where a proportion of the intensive agricultural area was converted to forest, may not be enough to counteract the negative effects of a future warmer climate on the ecological state of the estuary. The different land use scenarios were the most significant sources of uncertainty in the projections of future ecological state, followed, in order, by eco-hydrological models and climate models, albeit all three sources caused high variability in the simulated outputs. Therefore, when projecting the future state of aquatic ecosystems in a global warming context, one should at the very least consider to evaluate an ensemble of land use scenarios (nutrient loads) but ideally also include multiple eco-hydrological models and climate change projections. Our study may set precedence for future attempts to predict and quantify uncertainties of model and model input ensembles, as this will likely be key elements in future tools for decision-making processes.

摘要

为了分析位于温带气候的河口的潜在未来生态状况(在此以丹麦的奥登塞峡湾河口为例),我们结合了四个不同气候模型、四个对比鲜明的土地利用情景(“为自然而农业”、“广泛农业”、“高科技农业”和“市场驱动农业”)和两个不同的生态水文学模型的本世纪末气候变化预测。通过分解所有情景和模型组合模拟输出的方差,我们确定了这些未来预测不确定性的关键来源。在气候较暖的情景下,河口的生态状况普遍下降。引人注目的是,即使是最有利于自然的土地利用情景,即将一部分集约农业区转化为森林,也可能不足以抵消未来更暖气候对河口生态状况的负面影响。不同的土地利用情景是未来生态状况预测中不确定性的最大来源,其次是生态水文学模型和气候模型,尽管这三个来源都导致了模拟输出的高度变化。因此,在全球变暖背景下预测水生生态系统的未来状况时,至少应该考虑评估一系列土地利用情景(养分负荷),但理想情况下还应包括多个生态水文学模型和气候变化预测。我们的研究可能为未来预测和量化模型和模型输入组合的不确定性尝试奠定基础,因为这可能是未来决策过程工具的关键要素。

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