ArticleJournal of the Royal Society, Interface2015
Optimal Lévy-flight foraging in a finite landscape.
Article in Journal of the Royal Society, Interface, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Foraging behaviour and patch size distribution jointly determine population dynamics in fragmented landscapes.Journal of the Royal Society, Interface · 2022Article
- Foraging behavior in visual search: A review of theoretical and mathematical models in humans and animals.Psychological research · 2022Review
- Intrinsic and environmental factors modulating autonomous robotic search under high uncertainty.Scientific reports · 2021Article
- Hybrid foraging in patchy environments using spatial memory.Journal of the Royal Society, Interface · 2020Article
- Resource distribution and internal factors interact to govern movement of a freshwater snail.Proceedings. Biological sciences · 2019Article
- A 3D Coverage Algorithm Based on Complex Surfaces for UAVs in Wireless Multimedia Sensor Networks.Sensors (Basel, Switzerland) · 2019Article
- The evolutionary origins of Lévy walk foraging.PLoS computational biology · 2017Article
- System-wide organization of actin cytoskeleton determines organelle transport in hypocotyl plant cells.Proceedings of the National Academy of Sciences of the United States of America · 2017Article
- Understanding the spatiotemporal pattern of grazing cattle movement.Scientific reports · 2016Article
- Extending Lévy search theory from one to higher dimensions: Lévy walking favours the blind.Proceedings. Mathematical, physical, and engineering sciences · 2015Article
- Computational Methods for Tracking, Quantitative Assessment, and Visualization of C. elegans Locomotory Behavior.PloS one · 2015Article
Corrections and comments
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Authors and funding
8 authors.
Funding
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Abstract
We present a simple model to study Lévy-flight foraging with a power-law step-size distribution [P(l) ∞ l-μ] in a finite landscape with countable targets. We find that different optimal foraging strategies characterized by a wide range of power-law exponent μopt, from ballistic motion (μopt → 1) to Lévy flight (1 < μopt < 3) to Brownian motion (μopt ≥ 3), may arise in adaptation to the interplay between the termination of foraging, which is regulated by the number of foraging steps, and the environmental context of the landscape, namely the landscape size and number of targets. We further demonstrate that stochastic returning can be another significant factor that affects the foraging efficiency and optimality of foraging strategy. Our study provides a new perspective on Lévy-flight foraging, opens new avenues for investigating the interaction between foraging dynamics and the environment and offers a realistic framework for analysing animal movement patterns from empirical data.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.