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A Multi-Scale Framework for the Analysis of Fish Metacommunities

机译:用于分析鱼类的多尺度框架

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One of the central goals of aquatic ecology is to understand how natural and human-induced processes control fish distributions. Species assemblages are regulated by both local and large-scale processes, but most studies have failed to tackle the fullrange of relevant geographic scales at which fish communities are organized. As a result, we have little understanding of how key variables such as local and regional habitat filters and the dynamics of dispersal, together with local colonization and extinction events, interact to structure freshwater fish metacommunities. Although dispersal in metapopulations can be modeled using a variety of statistical and stochastic patch-occupancy methods, these frameworks are designed for single species and preclude the analysis of metacommunities. We introduce a synthetic quantitative framework that considers local and regional factors, as well as spatial predictors and patch isolation, to estimate the relative importance of different factors in determining thedistribution of fish metacommunities. The framework is illustrated using a data set of fish distributions from northern Wisconsin. Our results suggest that isolation is of relatively low importance in structuring fish metacommunities in Wisconsin, withboth local and regional habitat playing a more important role. More generally, our framework offers some powerful analytical tools while also highlighting some of the challenges that lie ahead. Questions of phenotypic plasticity and individual dispersalremain difficult to resolve in a largely statistical framework, and the difficulties associated with quantifying microhabitat features over very large landscapes may make it hard to adequately test for local influences. Nonetheless, careful selection andanalysis of multiscale, spatially explicit variables and their relationships to community composition can offer valuable insights into the forces that structure metacommunities.
机译:水生生态的核心目标之一是了解如何自然和人类诱导的过程控制鱼类分布。物种组合由本地和大规模流程调节,但大多数研究未能解决鱼群组织的相关地理尺度的完整性。因此,我们几乎不了解诸如本地和区域栖息地过滤器的关键变量以及分散的动态以及局部殖民化和灭绝事件,与结构淡水鱼类互动相互作用。尽管可以使用各种统计和随机的贴片占用方法进行建模分散,但这些框架设计用于单一物种,并排除了据称的分析。我们介绍了一种综合定量框架,旨在考虑地方和区域因素,以及空间预测器和贴片隔离,以估计不同因素在确定鱼类军团的分列时的相对重要性。使用来自威斯康星州北部的鱼类分布的数据集来说明该框架。我们的研究结果表明,隔离在威斯康星州的鱼割草中具有相对较低的重要性,占据当地和区域栖息地发挥更重要的作用。更一般地,我们的框架提供了一些功能强大的分析工具,同时还突出了未来的一些挑战。表型可塑性和个体分散体难以在很大程度上统计框架解决的问题,以及与量化微藻具有在非常大的景观中的困难可能使其难以充分测试局部影响。尽管如此,仔细选择和批准多尺度,空间显式变量及其与社区组成的关系可以向构建地铁的力量提供有价值的见解。

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