Patterns in the chaos: scale and the spatio-temporal dynamics of GBR reef fish assemblages

This paper analyses the spatial patterns and temporal dynamics of the long-term fish dataset from the LTMP (see LTMP metadata for details on methods).The dataset spand 233 coral reef fish species, recorded from 1995 to 2023 across the entire GBR.We analysed spatial patterns and temporal dynamics at the whole GBR scale and the sector x shelf scale, by year and decade, and by total density and species richness, family level and species level. We used Bayesian glmms, and multivariate techniques such as PCA, Adonis and RDA.

本研究针对LTMP（Long-Term Monitoring Program）的长期鱼类数据集开展空间格局与时间动态分析，方法细节可参阅LTMP元数据。该数据集收录了1995年至2023年间大堡礁（Great Barrier Reef, GBR）全域范围内的233种珊瑚礁鱼类观测记录。本研究分别从年际、年代际尺度，总密度、物种丰富度维度，以及科、种分类层级，在大堡礁全域及分区-陆架尺度下展开空间格局与时间动态分析。分析过程中采用了贝叶斯广义线性混合模型（Bayesian Generalized Linear Mixed Models, Bayesian GLMMs）以及主成分分析（Principal Component Analysis, PCA）、Adonis、冗余分析（Redundancy Analysis, RDA）等多元统计技术。