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Abstract

This international working group will use time-series analysis to analyze a 60-year data set describing the plankton community of Lake Baikal (Siberia) — the deepest, oldest, and most biotically diverse lake on the planet. Due to financial constraints on scientific research in Russia during the post-Soviet era, an extraordinary data set describing the dynamics of the plankton community in Lake Baikal has been greatly underutilized, and it is nearly unknown by the international scientific community. Using this high-resolution data set, we will explore spatial-temporal patterns in plankton abundance and community structure, and compare effects of perturbations on plankton dynamics. This work will increase our understanding of ecosystem functioning in one of the world's great lakes, and it will bring the Lake Baikal dataset to international recognition, encouraging future exploitation of this rich scientific resource.