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Sebastian Valanko

Researcher at University of Helsinki

Publications -  20
Citations -  1150

Sebastian Valanko is an academic researcher from University of Helsinki. The author has contributed to research in topics: Biological dispersal & Metacommunity. The author has an hindex of 10, co-authored 19 publications receiving 894 citations. Previous affiliations of Sebastian Valanko include Åbo Akademi University & International Council for the Exploration of the Sea.

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Metacommunity organisation, spatial extent and dispersal in aquatic systems: patterns, processes and prospects

TL;DR: A better understanding of the relative roles of species sorting, mass effects and dispersal limitation in affecting aquatic metacommunities requires the following: characterising dispersal rates more directly or adopting better proxies than have been used previously; considering the nature of aquatic networks; and combining correlative and experimental approaches.
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Size matters: implications of the loss of large individuals for ecosystem function

TL;DR: By manipulating bivalve size structure through the removal of large individuals, this work held species identity constant, but altered the trait characteristics of the community, and the number of large bivalves was the best predictor of ecosystem functioning.
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Conditional responses to increasing scales of disturbance, and potential implications for threshold dynamics in soft-sediment communities

TL;DR: In this article, the authors conducted a large-scale sublittoral experiment investigating patterns in recovery of two functionally different groups of deposit feeders with increasing spatial scales of hypoxic disturbance in the Baltic Sea, and found group-specific responses related to mode of living (epifaunal/infaunal) and dispersal potential.
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Strategies of post-larval dispersal in non-tidal soft-sediment communities

TL;DR: Results from this study provide the first evidence that also in the Baltic Sea, a non-tidal system, benthic species disperse in relative proportions distinctly different from the relative composition of the resident community.
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Exploring methods for predicting multiple pressures on ecosystem recovery: A case study on marine eutrophication and fisheries

TL;DR: In this article, the authors tested three completely different methods (a spatial impact index, a food web model and a Bayesian expert method) to evaluate the effects of different management measures on marine ecosystems and found that a large uncertainty existed regarding the ecosystem response to the management scenarios.