Animal-sediment relationships re-visited: Characterising species' distributions along an environmental gradient using canonical analysis and quantile regression splines
Animal-sediment relationships re-visited: Characterising species' distributions along an environmental gradient using canonical analysis and quantile regression splines
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DOI：
10.1016/j.jembe.2008.07.006
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发表时间：
2008-11-15
影响因子：
2
通讯作者：
Anderson, Marti J.
中科院分区：
文献类型：
--
作者：
Anderson, Marti J.
底栖软沉积物生物通常与其所居住的沉积物的粒度特征有很强的关系。这些关系，从现场数据的特点，往往是不对称的，非线性和异方差，由于存在多个其他潜在的重要和相互作用的因素，其中一些是不可避免的无法测量。对于多变量数据，主坐标的典型分析（CAP）可以用于隔离感兴趣的特定梯度，尽管存在其他潜在的重要因素。对于单变量丰度数据，关注物种分布上分位数的模型可以改善由其他变量引起的异质性问题。在这里，一个多变量模型之间的关系，底栖潮间带河口软沉积物组合（采样超过3年的时间从整个奥克兰地区的70个网站）和沉积物中的泥的百分比，使用CAP。为了描述组合结构的变化，使用分位数回归样条（0.95分位数）来模拟沿着泥百分比梯度的20个最丰富的个体分类群中的每一个。这种方法提供了一个有效的工具定量预测模型的物种的周转，同时考虑到不对称的，非线性的动物沉积物的关系和异质分散观察到的物种丰度沿着泥梯度。(C)2008 Elsevier B.V.保留所有权利。
Benthic soft-sediment organisms generally show strong relationships with the grain-size characteristics of the sediments they inhabit. These relationships, when characterised from field data, tend to be asymmetrical, non-linear and heteroscedastic, due to the existence of multiple other potentially important and interacting factors, some of which are inevitably unmeasured. For multivariate data, canonical analysis of principal coordinates (CAP) can be used to isolate particular gradients of interest, despite the presence of other potentially important factors. For univariate abundance data, models focusing on upper quantiles of species' distributions can ameliorate the problem of heterogeneity induced by other variables. Here, a multivariate model of the relationship between benthic inter-tidal estuarine soft-sediment assemblages (sampled over a period of 3 years from 70 sites across the Auckland region) and the percentage of mud in the sediments was generated using CAP. To characterise changes in assemblage structure, quantile regression splines (of the 0.95 quantile) were used to model each of the twenty most abundant individual taxa along the gradient in percentage mud. This approach provided an effective instrumental quantitative predictive model of species' turnover, while allowing for the asymmetric, non-linear animal-sediment relationships and heterogeneous scatter observed in species' abundances along the mud gradient. (C) 2008 Elsevier B.V. All rights reserved.