scispace - formally typeset
A

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.

Papers
More filters
Journal ArticleDOI

Human-caused Disturbance Stimuli as a Form of Predation Risk

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.
Journal ArticleDOI

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.
Journal ArticleDOI

State‐dependent risk‐taking by green sea turtles mediates top‐down effects of tiger shark intimidation in a marine ecosystem

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.
Journal ArticleDOI

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.
Journal ArticleDOI

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.