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首页> 外文期刊>Trends in Ecology & Evolution >So Many Variables: Joint Modeling in Community Ecology
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So Many Variables: Joint Modeling in Community Ecology

机译:如此多的变量:社区生态学中的联合建模

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Technological advances have enabled a new class of multivariate models for ecology, with the potential now to specify a statistical model for abundances jointly across many taxa, to simultaneously explore interactions across taxa and the response of abundance to environmental variables. Joint models can be used for several purposes of interest to ecologists, including estimating patterns of residual correlation across taxa, ordination, multivariate inference about environmental effects and environment-by-trait interactions, accounting for missing predictors, and improving predictions in situations where one can leverage knowledge of some species to predict others. We demonstrate this by example and discuss recent computation tools and future directions.
机译:技术的进步使一类新的生态多元模型成为可能,现在有潜力为多个分类单元共同指定一个丰度统计模型,从而同时探索各个分类单元之间的相互作用以及丰度对环境变量的响应。联合模型可用于生态学家感兴趣的几个目的,包括估计整个分类单元的残差相关性模式,排序,关于环境影响和环境-特征相互作用的多元推断,考虑缺失的预测因素以及在可能的情况下改进预测利用某些物种的知识来预测其他物种。我们通过示例进行演示,并讨论最新的计算工具和未来的方向。

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