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Local vs Global: How to assess the ecological cost and benefits of large scale renewables?

机译:本地与全球:如何评估大规模可再生能源的生态成本和益处吗?

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Marine space is about to get even busier. Around the globe many countries are looking to use their ocean space, especially their coastal marine areas, for the extraction of renewable energy from the wind, waves and tides. This large scale use of renewable energy will help global reductions in CO2 release and ultimately reduce the risk of ecological damage due to sever climate change. However the cumulative effect of large scale developments and the range of methods to extract energy from the oceans will cause local changes in physical mixing properties and the effects will be felt locally throughout the trophic chain. How can we assess the ecological costs and benefits of these contrasting pressures on our marine systems such that our choices in where we allow the placement of large scale energy extraction is ultimately ecological beneficial? In this work we suggest that the use of statistical joint models; spatially explicit models that simultaneous explore the distributions of mobile predator and prey species such as pelagic fish and seabird and marine mammal species are a most useful tool in the calculation of the degree of overlap in these species now and in future predictions with climate change, energy extraction and both climate change and energy extraction. The contrasting degree of spatial overlap in these different scenarios will allow the estimate on the ecological costs and benefits of large scale extraction of marine renewable energy.
机译:海洋空间即将销售。全球各地许多国家都希望使用他们的海洋空间,特别是他们的沿海海洋地区,从风,波浪和潮汐中提取可再生能源。这种大规模使用可再生能源将有助于全球减少二氧化碳释放,并最终降低由于气候变化发生的生态损害的风险。然而,大规模发展的累积效应和从海洋中提取能量的方法的范围将导致物理混合性能的局部变化,并且在整个营养链中局部感受到效果。我们如何在我们的海洋系统上评估这些对比压力的生态成本和益处,使我们在我们允许放置大规模能量提取的地方最终生态有益?在这项工作中,我们建议使用统计联合模型;在空间明确的模型,同时探索移动捕食者和猎物种类,如皮鱼和海鸟和海洋哺乳动物物种,是在计算这些物种的重叠程度和未来的气候变化,能量的预测中最有用的工具提取和气候变化和能源提取。这些不同情景中的空间重叠的对比度将允许估计海洋可再生能源大规模提取的生态成本和益处。

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