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Michael J. Paterson

Researcher at International Institute for Sustainable Development

Publications -  64
Citations -  4947

Michael J. Paterson is an academic researcher from International Institute for Sustainable Development. The author has contributed to research in topics: Zooplankton & Eutrophication. The author has an hindex of 31, co-authored 57 publications receiving 4455 citations. Previous affiliations of Michael J. Paterson include Fisheries and Oceans Canada & University of Alberta.

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Eutrophication of lakes cannot be controlled by reducing nitrogen input: Results of a 37-year whole-ecosystem experiment

TL;DR: Reducing nitrogen inputs increasingly favored nitrogen-fixing cyanobacteria as a response by the phytoplankton community to extreme seasonal nitrogen limitation, and the lake remained highly eutrophic, despite showing indications of extreme nitrogen limitation seasonally.
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Multiple anthropogenic stressors cause ecological surprises in boreal lakes

TL;DR: In this article, the authors corroborate findings from an in situ mesocosm experiment with evidence from a whole-ecosystem manipulation to demonstrate for the first time that interactions between climate and acidification determine their cumulative impact on the food-web structure of coldwater lakes.
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The rise and fall of mercury methylation in an experimental reservoir.

TL;DR: In large reservoirs, where the effects of wind and fetch are greater than in the small experimental reservoir the authors constructed, differences can occur in the timing and extent of peat and soil erosion, effecting either transport of MeHg to the food chain or the fueling of microbial activity in open water sediments, both of which could have important long-term implications for MeHG concentrations in predatory fish.
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Communities contain closely related species during ecosystem disturbance.

TL;DR: Species sensitivities to specific disturbances were phylogenetically conserved, were independent of body size, and could be predicted by the sensitivities of close relatives within the same community when predicting community and species responses to disturbance.