Collective gradient sensing in fish schools
| Autor: | Julia A. Giannini, Aawaz Pokhrel, James G. Puckett |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
0301 basic medicine
Collective behavior Cyprinidae lcsh:Medicine FOS: Physical sciences Relative weight Quantitative Biology - Quantitative Methods Models Biological Article 03 medical and health sciences Animals Physics - Biological Physics lcsh:Science Social Behavior Group performance Quantitative Methods (q-bio.QM) Environmental gradient Rummy-nose tetra Multidisciplinary biology Behavior Animal Ecology Characidae lcsh:R biology.organism_classification Nonlinear Sciences - Adaptation and Self-Organizing Systems 030104 developmental biology Geography Biological Physics (physics.bio-ph) FOS: Biological sciences Fish lcsh:Q Hemigrammus bleheri Adaptation and Self-Organizing Systems (nlin.AO) |
| Zdroj: | Scientific Reports Scientific Reports, Vol 8, Iss 1, Pp 1-11 (2018) |
| DOI: | 10.48550/arxiv.1711.06909 |
| Popis: | Throughout the animal kingdom, animals frequently benefit from living in groups. Models of collective behaviour show that simple local interactions are sufficient to generate group morphologies found in nature (swarms, flocks and mills). However, individuals also interact with the complex noisy environment in which they live. In this work, we experimentally investigate the group performance in navigating a noisy light gradient of two unrelated freshwater species: golden shiners (Notemigonus crysoleucas) and rummy nose tetra (Hemigrammus bleheri). We find that tetras outperform shiners due to their innate individual ability to sense the environmental gradient. Using numerical simulations, we examine how group performance depends on the relative weight of social and environmental information. Our results highlight the importance of balancing of social and environmental information to promote optimal group morphologies and performance. Comment: 19 pages, 6 figures |
| Databáze: | OpenAIRE |
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