Related Experiment Video
Updated: Sep 5, 2025

An R-Based Landscape Validation of a Competing Risk Model
Published on: September 16, 2022
Dynamic landscapes of fear: understanding spatiotemporal risk
Meredith S Palmer1, Kaitlyn M Gaynor2, Justine A Becker3
1Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ 08544, USA.
Abstract:
The landscape of fear (LOF) concept posits that prey navigate spatial heterogeneity in perceived predation risk, balancing risk mitigation against other activities necessary for survival and reproduction. These proactive behavioral responses to risk can affect individual fitness, population dynamics, species interactions, and coexistence. Yet, antipredator responses in free-ranging prey often contradict expectations, raising questions about the generality and scalability of the LOF framework and suggesting that a purely spatial, static LOF conceptualization may be inadequate. Here, we outline a 'dynamic' LOF framework that explicitly incorporates time to account for predictable spatiotemporal variation in risk-resource trade-offs. This integrated approach suggests novel predictions about predator effects on prey behaviors to refine understanding of the role predators play in ecological communities.
Related Concept Videos
Design Example: Analyzing Capacity Contours for Flood Risk Assessment
Applications of GIS: Disaster Management and Emergency Response
Relative Risk
Hazard Rate
Uncertainty: Overview
Causality in Epidemiology

