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Beyond correlation: integrating environmentally and behaviourally mediated processes in models of marine mammal distributions

机译:超越相关性:将环境和行为介导的过程整合到海洋哺乳动物分布模型中

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摘要

Marine species distribution modeling has seen explosive growth in recent years, and the Endangered Species Research Theme Section entitled 'Beyond marine mammal habitat mod- eling: applications for ecology and conservation' demonstrates that the field of marine mammal- ogy has been no exception. For the past decade, marine mammal ecologists have been developing habitat models with increasing proficiency and sophistication. However, these efforts have largely focused on correlative analyses of observed species-environment associations, which often have low explanatory power due to the absence of critical, but unaccounted for processes that are important drivers of animal distributions. Here we provide an overview of these processes, advo- cate for directed studies (e.g. tagging, prey sampling, focal follows, physiological assessment) to address how the processes influence species' distributions, and challenge the modeling commu- nity to incorporate these results into their efforts. We also identify a progression of modeling stages from correlative to confirmatory to mechanistic that should lead us to formulate increas- ingly robust and accurate predictions of species distributions rooted in greater ecological under- standing. Given the on-going risks to marine mammals from human activities and climate change, such models are needed for conservation and management now more than ever.
机译:近年来,海洋物种分布建模已呈现爆炸性增长,而濒危物种研究主题部分名为“超越海洋哺乳动物栖息地模式:生态和保护的应用”表明,海洋哺乳动物学领域也不例外。在过去的十年中,海洋哺乳动物的生态学家一直在开发熟练度和复杂度不断提高的栖息地模型。但是,这些努力主要集中在对观察到的物种-环境关联的相关分析上,由于缺乏关键因素,但由于缺乏解释,而对于动物分布的重要驱动因素,这些解释力通常较低。在这里,我们提供了这些过程的概述,建议进行有针对性的研究(例如,标记,猎物采样,重点跟踪,生理评估),以解决这些过程如何影响物种分布的挑战,并挑战建模社区将这些结果纳入他们的努力。我们还确定了建模阶段从相关性到确认性到机械性的进展,这应该使我们能够对根源于更大的生态学理解的物种分布进行逐渐增强的准确预测。鉴于人类活动和气候变化给海洋哺乳动物带来的持续风险,现在比以往任何时候都更需要这种模型进行保护和管理。

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