B
Bill Shipley
Researcher at Université de Sherbrooke
Publications - 174
Citations - 20930
Bill Shipley is an academic researcher from Université de Sherbrooke. The author has contributed to research in topics: Specific leaf area & Trait. The author has an hindex of 61, co-authored 171 publications receiving 17546 citations. Previous affiliations of Bill Shipley include Centre national de la recherche scientifique & University of Guelph.
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Journal ArticleDOI
Do plant species with high relative growth rates have poorer chemical defences
TL;DR: It is suggested that an evolutionary trade-off with increasing investment in chemical defences in species adapted to different levels of habitat fertility does not exist in this group of Asteraceae.
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Plant traits, species pools and the prediction of relative abundance in plant communities: a maximum entropy approach
TL;DR: The results both confirm the generality of the original model but also highlight the importance of taking into account neutral processes during assembly of a plant community, and properly defining the species pool.
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Common paths link food abundance and ectoparasite loads to physiological performance and recruitment in nestling blue tits
Donald W. Thomas,Bill Shipley,Jacques Blondel,Philippe Perret,A. Simon,A. Simon,Marcel M. Lambrechts +6 more
TL;DR: The analyses show that an antagonistic interaction between ectoparasites and food abundance sets tissue development and oxygen carrying capacity of blood at fledging, and that identical paths link these variables to physiological performance and recruitment, and suggest that metabolic capacity at fledged may be important in determining subsequent recruitment and unmasks subtle fitness costs of an ectoparsite.
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Testing models for the leaf economics spectrum with leaf and whole-plant traits in Arabidopsis thaliana.
Benjamin Blonder,François Vasseur,Cyrille Violle,Bill Shipley,Brian J. Enquist,Brian J. Enquist,Denis Vile +6 more
TL;DR: It is shown that no extant theory for the LES is supported, but that some leaf venation networks likely play a role in driving the pattern and a roadmap is provided for the measurements that could generate further insight into this fundamental ecological pattern.
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Analysing the allometry of multiple interacting traits
TL;DR: A new statistical test is described (‘d-sep test’) that allows one to test, and potentially falsify, alternative multivariate orderings of cause-and-effect in the context of allometry.