Individual based spatial models with evolved fish behaviour
Due to spatial heterogeneity, the survival and growth of fishes depend upon their habitat. For mobile pelagic fishes, it hence becomes important to analyse the factors responsible for spatial dynamics in order to understand population dynamics better. The current work is an attempt to approach fishe...
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ftimr:oai:imr.brage.unit.no:11250/105851 2023-05-15T15:38:57+02:00 Individual based spatial models with evolved fish behaviour Huse, Geir Giske, Jarl 1998 application/pdf http://hdl.handle.net/11250/105851 eng eng ICES ICES CM Documents;1998/J:16 This report is not to be cited without prior reference to the authors http://hdl.handle.net/11250/105851 16 s. fish behaviour fiskeatferd genetics genetikk distribution utbredelse VDP::Mathematics and natural science: 400::Zoology and botany: 480::Ethology: 485 VDP::Mathematics and natural science: 400::Geosciences: 450::Oceanography: 452 VDP::Agriculture and fishery disciplines: 900::Fisheries science: 920::Fish health: 923 Working paper 1998 ftimr 2021-09-23T20:15:27Z Due to spatial heterogeneity, the survival and growth of fishes depend upon their habitat. For mobile pelagic fishes, it hence becomes important to analyse the factors responsible for spatial dynamics in order to understand population dynamics better. The current work is an attempt to approach fisheries assessment from a theoretical ecological perspective. We here present individual based single species and multispecies models where spatial behaviour and life history strategies are evolved. Spatial movement for each fish is calculated using an artificial neural network with weights evolved by a genetic algorithm. Behaviour relies on sensory information about food, temperature, light and predators. A concept for modelling life history strategies and migration in fish using this method is presented along with an application of this concept for the Barents Sea capelin. A predator-prey model based on the same principle is also presented. Potential areas of application for these kinds of models are discussed. Report Barents Sea Institute for Marine Research: Brage IMR Barents Sea |
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Open Polar |
collection |
Institute for Marine Research: Brage IMR |
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ftimr |
language |
English |
topic |
fish behaviour fiskeatferd genetics genetikk distribution utbredelse VDP::Mathematics and natural science: 400::Zoology and botany: 480::Ethology: 485 VDP::Mathematics and natural science: 400::Geosciences: 450::Oceanography: 452 VDP::Agriculture and fishery disciplines: 900::Fisheries science: 920::Fish health: 923 |
spellingShingle |
fish behaviour fiskeatferd genetics genetikk distribution utbredelse VDP::Mathematics and natural science: 400::Zoology and botany: 480::Ethology: 485 VDP::Mathematics and natural science: 400::Geosciences: 450::Oceanography: 452 VDP::Agriculture and fishery disciplines: 900::Fisheries science: 920::Fish health: 923 Huse, Geir Giske, Jarl Individual based spatial models with evolved fish behaviour |
topic_facet |
fish behaviour fiskeatferd genetics genetikk distribution utbredelse VDP::Mathematics and natural science: 400::Zoology and botany: 480::Ethology: 485 VDP::Mathematics and natural science: 400::Geosciences: 450::Oceanography: 452 VDP::Agriculture and fishery disciplines: 900::Fisheries science: 920::Fish health: 923 |
description |
Due to spatial heterogeneity, the survival and growth of fishes depend upon their habitat. For mobile pelagic fishes, it hence becomes important to analyse the factors responsible for spatial dynamics in order to understand population dynamics better. The current work is an attempt to approach fisheries assessment from a theoretical ecological perspective. We here present individual based single species and multispecies models where spatial behaviour and life history strategies are evolved. Spatial movement for each fish is calculated using an artificial neural network with weights evolved by a genetic algorithm. Behaviour relies on sensory information about food, temperature, light and predators. A concept for modelling life history strategies and migration in fish using this method is presented along with an application of this concept for the Barents Sea capelin. A predator-prey model based on the same principle is also presented. Potential areas of application for these kinds of models are discussed. |
format |
Report |
author |
Huse, Geir Giske, Jarl |
author_facet |
Huse, Geir Giske, Jarl |
author_sort |
Huse, Geir |
title |
Individual based spatial models with evolved fish behaviour |
title_short |
Individual based spatial models with evolved fish behaviour |
title_full |
Individual based spatial models with evolved fish behaviour |
title_fullStr |
Individual based spatial models with evolved fish behaviour |
title_full_unstemmed |
Individual based spatial models with evolved fish behaviour |
title_sort |
individual based spatial models with evolved fish behaviour |
publisher |
ICES |
publishDate |
1998 |
url |
http://hdl.handle.net/11250/105851 |
geographic |
Barents Sea |
geographic_facet |
Barents Sea |
genre |
Barents Sea |
genre_facet |
Barents Sea |
op_source |
16 s. |
op_relation |
ICES CM Documents;1998/J:16 This report is not to be cited without prior reference to the authors http://hdl.handle.net/11250/105851 |
_version_ |
1766370388745388032 |