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Deriving simple predictions from complex models to support environmental decision-making

机译:从复杂模型中得出简单的预测以支持环境决策

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摘要

Recent decades have seen great advances in ecological modelling and computing power, enabling ecologists to build increasingly detailed models to more accurately represent ecological systems. To better inform environmental decision-making, it is important that the predictions of these models are expressed in simple ways that are straightforward for stakeholders to comprehend and use. One way to achieve this is to predict threshold values for environmental perturbations (e.g. climate change, habitat modification, food loss, sea level rise) associated with negative impacts on individuals, populations, communities or ecosystems. These thresholds can be used by stakeholders to inform management and policy. In this paper we demonstrate how this approach can use individual-based models of birds, their prey and habitats, to provide the evidence-base for coastal bird conservation and shellfishery management. In particular, we show how such models can be used to identify threshold values for perturbations of food abundance that can impact negatively on bird populations. We highlight how environmental thresholds could be used more widely to inform management of species and habitats under environmental change.
机译:近几十年来,生态建模和计算能力取得了长足的进步,使生态学家能够建立越来越详细的模型以更准确地表示生态系统。为了更好地为环境决策提供信息,重要的是,以简单的方式表达这些模型的预测,以使利益相关者能够理解和使用。实现此目标的一种方法是预测与对个人,人口,社区或生态系统的负面影响相关的环境扰动(例如,气候变化,栖息地改变,食物损失,海平面上升)的阈值。利益相关者可以使用这些阈值来告知管理和政策。在本文中,我们演示了该方法如何使用基于鸟类的个体模型,它们的猎物和栖息地,为沿海鸟类保护和贝类管理提供依据。尤其是,我们展示了如何使用此类模型来识别对可能会对鸟类种群造成负面影响的食物丰度扰动的阈值。我们重点介绍了如何更广泛地使用环境阈值来指导环境变化下物种和栖息地的管理。

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