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Alejandro Frid
Researcher at University of Victoria
Publications - 49
Citations - 4934
Alejandro Frid is an academic researcher from University of Victoria. The author has contributed to research in topics: Population & Predation. The author has an hindex of 25, co-authored 45 publications receiving 4253 citations. Previous affiliations of Alejandro Frid include Dalhousie University & Simon Fraser University.
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Journal ArticleDOI
Human-caused Disturbance Stimuli as a Form of Predation Risk
Alejandro Frid,Lawrence M. Dill +1 more
TL;DR: A growing number of studies quantify the impact of non-lethal human disturbance on the behavior and reproductive success of animals as mentioned in this paper, and many of these studies are well designed and analytically sophisticated, but most lack a theoretical framework for making predictions and for understanding why particular responses occur.
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Predicting ecological consequences of marine top predator declines
TL;DR: The consequences of marine predator declines are outlined and an integrated predictive framework that includes risk effects is proposed, which appear to be strongest for long-lived prey species and when resources are abundant.
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State‐dependent risk‐taking by green sea turtles mediates top‐down effects of tiger shark intimidation in a marine ecosystem
Michael R. Heithaus,Alejandro Frid,Aaron J. Wirsing,Lawrence M. Dill,James W. Fourqurean,Derek A. Burkholder,Jordan A. Thomson,Lars Bejder +7 more
TL;DR: This study suggests that declines in large-bodied sharks may affect ecosystems more substantially than assumed when non-lethal effects of these top predators on mesoconsumers are not considered explicitly.
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Seascapes of fear: evaluating sublethal predator effects experienced and generated by marine mammals
TL;DR: It is suggested that future studies quantify patterns of time allocation to measure sub lethal effects of predators on marine mammals, as well as the capacity of marine mammals to have sublethal effects on their own prey.
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Vigilance by female Dall's sheep: interactions between predation risk factors☆
TL;DR: Generating predictions with the interactive factors hypothesis may be a more realistic approach for understanding vigilance and other anti-predator behaviours.