S
Stewart J. Plaistow
Researcher at University of Liverpool
Publications - 36
Citations - 2214
Stewart J. Plaistow is an academic researcher from University of Liverpool. The author has contributed to research in topics: Population & Maternal effect. The author has an hindex of 20, co-authored 34 publications receiving 2018 citations. Previous affiliations of Stewart J. Plaistow include University of Burgundy & University of Stirling.
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Journal ArticleDOI
Energetic Constraints and Male Mate-Securing Tactics in the Damselfly Calopteryx splendens xanthostoma (Charpentier)
TL;DR: It is shown that the ability to win fights, and therefore be territorial, is dependent on energy reserves (fat), and an alternative explanation centring around Grafen’s (1987) ‘desperado’ effect and the energy constraint on a male's ability to obtain a territory is provided.
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Complex population dynamics and complex causation: devils, details and demography
TL;DR: Experimental dissection of empirical systems is providing important insights into the details of the drivers of demographic responses and therefore dynamics and should also stimulate theory that incorporates relevant biological mechanism.
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Context‐Dependent Intergenerational Effects: The Interaction between Past and Present Environments and Its Effect on Population Dynamics
TL;DR: It is shown that manipulating parental food environments of soil mites produced intergenerational effects that were still detectable in the life histories of descendents three generations later.
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Changes in maternal investment in eggs can affect population dynamics
Tim G. Benton,Stewart J. Plaistow,Stewart J. Plaistow,Andrew P. Beckerman,Craig T. Lapsley,S Littlejohns +5 more
TL;DR: In the soil mite, Sancassania berlesei, it is shown that there is a trade-off between a female's fecundity and the per-egg provisioning of protein, and conjecture that maternal effects could result in long-term dynamical effects.
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The Role of Omics in the Application of Adverse Outcome Pathways for Chemical Risk Assessment
Erica K. Brockmeier,Geoff Hodges,Thomas H. Hutchinson,Emma Butler,Markus Hecker,Knut Erik Tollefsen,Natàlia Garcia-Reyero,Natàlia Garcia-Reyero,Peter Kille,Doerthe Becker,Kevin Chipman,John K. Colbourne,Timothy W. Collette,Andrew R. Cossins,Mark T. D. Cronin,Peter Graystock,Steve Gutsell,Dries Knapen,Ioanna Katsiadaki,Anke Lange,Stuart Marshall,Stewart F. Owen,Edward J. Perkins,Stewart J. Plaistow,Anthony L. Schroeder,Daisy Taylor,Mark R. Viant,Gerald T. Ankley,Francesco Falciani +28 more
TL;DR: An overview of ecological risk assessment process and a perspective on how high content molecular-level datasets can support the future of assessment procedures through the AOP framework are developed.