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Computational visual ecology in the pelagic realm
Visual performance and visual interactions in pelagic animals are notoriously hard to investigate because of our restricted access to the habitat. The pelagic visual world is also dramatically different from benthic or terrestrial habitats, and our intuition is less helpful in understanding vision i...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3886326/ https://www.ncbi.nlm.nih.gov/pubmed/24395965 http://dx.doi.org/10.1098/rstb.2013.0038 |
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author | Nilsson, Dan-E. Warrant, Eric Johnsen, Sönke |
author_facet | Nilsson, Dan-E. Warrant, Eric Johnsen, Sönke |
author_sort | Nilsson, Dan-E. |
collection | PubMed |
description | Visual performance and visual interactions in pelagic animals are notoriously hard to investigate because of our restricted access to the habitat. The pelagic visual world is also dramatically different from benthic or terrestrial habitats, and our intuition is less helpful in understanding vision in unfamiliar environments. Here, we develop a computational approach to investigate visual ecology in the pelagic realm. Using information on eye size, key retinal properties, optical properties of the water and radiance, we develop expressions for calculating the visual range for detection of important types of pelagic targets. We also briefly apply the computations to a number of central questions in pelagic visual ecology, such as the relationship between eye size and visual performance, the maximum depth at which daylight is useful for vision, visual range relations between prey and predators, counter-illumination and the importance of various aspects of retinal physiology. We also argue that our present addition to computational visual ecology can be developed further, and that a computational approach offers plenty of unused potential for investigations of visual ecology in both aquatic and terrestrial habitats. |
format | Online Article Text |
id | pubmed-3886326 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | The Royal Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-38863262014-02-19 Computational visual ecology in the pelagic realm Nilsson, Dan-E. Warrant, Eric Johnsen, Sönke Philos Trans R Soc Lond B Biol Sci Articles Visual performance and visual interactions in pelagic animals are notoriously hard to investigate because of our restricted access to the habitat. The pelagic visual world is also dramatically different from benthic or terrestrial habitats, and our intuition is less helpful in understanding vision in unfamiliar environments. Here, we develop a computational approach to investigate visual ecology in the pelagic realm. Using information on eye size, key retinal properties, optical properties of the water and radiance, we develop expressions for calculating the visual range for detection of important types of pelagic targets. We also briefly apply the computations to a number of central questions in pelagic visual ecology, such as the relationship between eye size and visual performance, the maximum depth at which daylight is useful for vision, visual range relations between prey and predators, counter-illumination and the importance of various aspects of retinal physiology. We also argue that our present addition to computational visual ecology can be developed further, and that a computational approach offers plenty of unused potential for investigations of visual ecology in both aquatic and terrestrial habitats. The Royal Society 2014-02-19 /pmc/articles/PMC3886326/ /pubmed/24395965 http://dx.doi.org/10.1098/rstb.2013.0038 Text en http://creativecommons.org/licenses/by/3.0/ © 2014 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/3.0/, which permits unrestricted use, provided the original author and source are credited. |
spellingShingle | Articles Nilsson, Dan-E. Warrant, Eric Johnsen, Sönke Computational visual ecology in the pelagic realm |
title | Computational visual ecology in the pelagic realm |
title_full | Computational visual ecology in the pelagic realm |
title_fullStr | Computational visual ecology in the pelagic realm |
title_full_unstemmed | Computational visual ecology in the pelagic realm |
title_short | Computational visual ecology in the pelagic realm |
title_sort | computational visual ecology in the pelagic realm |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3886326/ https://www.ncbi.nlm.nih.gov/pubmed/24395965 http://dx.doi.org/10.1098/rstb.2013.0038 |
work_keys_str_mv | AT nilssondane computationalvisualecologyinthepelagicrealm AT warranteric computationalvisualecologyinthepelagicrealm AT johnsensonke computationalvisualecologyinthepelagicrealm |