WP3 virtual timeseries workshop, 15-18 June 2021

Overview

Temporal change in marine ecosystems occurs over ecological to geological timescales. Exploring ocean time series helps us interpret past events such as regime shifts, community change and loss of species, but it also helps consider future ecosystem outcomes under climate change. Despite the multitude of approaches and methods we use to collect ocean time series data, we can employ a common set of statistical analyses to facilitate ecosystem assessments at larger scales, e.g., over an entire region or ocean basin scale.

The purpose of our workshop is to strengthen the capacity of marine scientists who already have an understanding of statistical tests and experience using R to employ robust statistical methods to visualise, analyse and explain drivers of change in ocean time series datasets in order to facilitate such ecosystem assessments.

Over the 4 days, we cover visualisation and analysis of univariate and multivariate ocean time series data in, for example:

• analysis of variance (MANOVA);
• polynomial regression;
• distance-based Moran’s eigenvector maps (dbMEM);
• space-time analysis;
• local contribution to beta diversity (LCBD);
• multivariate regression tree (MRT) analysis.