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Francis Juanes

Researcher at University of Victoria

Publications -  271
Citations -  9310

Francis Juanes is an academic researcher from University of Victoria. The author has contributed to research in topics: Population & Predation. The author has an hindex of 44, co-authored 237 publications receiving 7273 citations. Previous affiliations of Francis Juanes include University of Massachusetts Boston & University of Massachusetts Amherst.

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Human Consumption of Microplastics

TL;DR: Focusing on the American diet, the number of microplastic particles in commonly consumed foods in relation to their recommended daily intake is evaluated and it is estimated that annual microplastics consumption ranges from 39000 to 52000 particles depending on age and sex.
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Predator size - prey size relationships of marine fish predators: interspecific variation and effects of ontogeny and body size on trophic-niche breadth

TL;DR: Examination of predator size - prey size relationships for 18 species of marine fish predators from continental shelf waters off the northeast US coast demonstrated that the range of prey sizes eaten expanded with increasing predator body size for each of the marine predators examined, leading to asymmetric predator size- prey size distribu- tions.
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Recruitment Limitation as a Consequence of Natural Selection for Use of Restricted Feeding Habitats and Predation Risk Taking by Juvenile Fishes

TL;DR: Combining the food availability and optimal foraging time predictions leads to stock–recruitment patterns similar to classic Beverton–Holt and Ricker forms, depending on how food organisms respond over time.
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The ecological consequences of limb damage and loss in decapod crustaceans: A review and prospectus

TL;DR: An overview of the incidence of limb damage and loss in decapod crustaceans; review the literature on the ecological consequences of such injury; and suggest areas for future research are suggested.
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Inferring ecological relationships from the edges of scatter diagrams: comparison of regression techniques

TL;DR: This paper used least squares and least absolute values models to quantify the boundaries of scatter diagrams and compared the estimated slopes for consistency, finding that least squares regression techniques were particularly sensitive to outlying y values and irregularities in the distribution of observations, and that they frequently produced incon- sistent estimates of slope for upper and lower bounds.