Buckley Hannah L, Day Nicola J, Lear Gavin, Case Bradley S
School of Science, Auckland University of Technology, Auckland, New Zealand.
School of Biological Sciences, Victoria University of Wellington, Wellington, New Zealand.
PeerJ. 2021 Apr 8;9:e11250. doi: 10.7717/peerj.11250. eCollection 2021.
Understanding how biological communities change over time is of increasing importance as Earth moves into the Anthropocene. A wide variety of methods are used for multivariate community analysis and are variously applied to research that aims to characterise temporal dynamics in community composition. Understanding these methods and how they are applied is useful for determining best practice in community ecology.
We reviewed the ecological literature from 1990 to 2018 that used multivariate methods to address questions of temporal community dynamics. For each paper that fulfilled our search criteria, we recorded the types of multivariate analysis used to characterise temporal community dynamics in addition to the research aim, habitat type, location, taxon and the experimental design.
Most studies had relatively few temporal replicates; the median number was seven time points. Nearly 70% of studies applied more than one analysis method; descriptive methods such as bar graphs and ordination were the most commonly applied methods. Surprisingly, the types of analyses used were only related to the number of temporal replicates, but not to research aim or any other aspects of experimental design such as taxon, or habitat or year of study.
This review reveals that most studies interested in understanding community dynamics use relatively short time series meaning that several, more sophisticated, temporal analyses are not widely applicable. However, newer methods using multivariate dissimilarities are growing in popularity and many can be applied to time series of any length.
随着地球进入人类世,了解生物群落如何随时间变化变得越来越重要。多种方法被用于多变量群落分析,并被不同程度地应用于旨在描述群落组成时间动态的研究中。了解这些方法及其应用方式有助于确定群落生态学的最佳实践。
我们回顾了1990年至2018年使用多变量方法解决时间群落动态问题的生态学文献。对于每一篇符合我们搜索标准的论文,除了研究目的、栖息地类型、位置、分类群和实验设计外,我们还记录了用于描述时间群落动态的多变量分析类型。
大多数研究的时间重复样本相对较少;中位数为七个时间点。近70%的研究应用了不止一种分析方法;柱状图和排序等描述性方法是最常用的方法。令人惊讶的是,所使用的分析类型仅与时间重复样本的数量有关,而与研究目的或实验设计的任何其他方面(如分类群、栖息地或研究年份)无关。
本综述表明,大多数对理解群落动态感兴趣的研究使用的时间序列相对较短,这意味着一些更复杂的时间分析方法并未得到广泛应用。然而,使用多变量差异的新方法越来越受欢迎,许多方法可应用于任何长度的时间序列。