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re 72 pe ts optimisation model. The choice of optimal temperature area of a juvenile (1-group) cod growing from a start weight (50 g, 15 cm) to a size refuge (640 g, 40 cm) was modelled for two scenarios with distributions of predators (4+ groups cod) similar to those observed in the Barents Sea in...
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ftciteseerx:oai:CiteSeerX.psu:10.1.1.570.5253 2023-05-15T15:38:56+02:00 o The Pennsylvania State University CiteSeerX Archives application/pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.570.5253 http://icesjms.oxfordjournals.org/content/58/1/172.full.pdf en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.570.5253 http://icesjms.oxfordjournals.org/content/58/1/172.full.pdf Metadata may be used without restrictions as long as the oai identifier remains attached to it. http://icesjms.oxfordjournals.org/content/58/1/172.full.pdf Key words cod dynamic modelling predation risk growth survival text ftciteseerx 2016-01-08T12:30:22Z re 72 pe ts optimisation model. The choice of optimal temperature area of a juvenile (1-group) cod growing from a start weight (50 g, 15 cm) to a size refuge (640 g, 40 cm) was modelled for two scenarios with distributions of predators (4+ groups cod) similar to those observed in the Barents Sea in February 1990 and 1994, respectively, and without food limitations. The model predicted that when there was an overlap in distribution between large cod and younger cod (0–3 group), the younger year classes would move to areas with lower temperature and less predators, offering higher survival rates. Fish predators forced the prey to inhabit less optimal areas, and both growth and survival rates fell in comparison with a scenario with fewer fish predators (cannibals) and less overlap. Increased fish predator density increased these effects, and the juveniles would stay in colder water for a longer period and their growth rate would be further reduced. Higher mortality, independent of area and size, made it more profitable to stay in warmer water, leading to higher growth but increased mortality rates. Text Barents Sea Unknown Barents Sea |
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English |
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Key words cod dynamic modelling predation risk growth survival |
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Key words cod dynamic modelling predation risk growth survival o |
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Key words cod dynamic modelling predation risk growth survival |
description |
re 72 pe ts optimisation model. The choice of optimal temperature area of a juvenile (1-group) cod growing from a start weight (50 g, 15 cm) to a size refuge (640 g, 40 cm) was modelled for two scenarios with distributions of predators (4+ groups cod) similar to those observed in the Barents Sea in February 1990 and 1994, respectively, and without food limitations. The model predicted that when there was an overlap in distribution between large cod and younger cod (0–3 group), the younger year classes would move to areas with lower temperature and less predators, offering higher survival rates. Fish predators forced the prey to inhabit less optimal areas, and both growth and survival rates fell in comparison with a scenario with fewer fish predators (cannibals) and less overlap. Increased fish predator density increased these effects, and the juveniles would stay in colder water for a longer period and their growth rate would be further reduced. Higher mortality, independent of area and size, made it more profitable to stay in warmer water, leading to higher growth but increased mortality rates. |
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The Pennsylvania State University CiteSeerX Archives |
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http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.570.5253 http://icesjms.oxfordjournals.org/content/58/1/172.full.pdf |
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Barents Sea |
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Barents Sea |
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Barents Sea |
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http://icesjms.oxfordjournals.org/content/58/1/172.full.pdf |
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http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.570.5253 http://icesjms.oxfordjournals.org/content/58/1/172.full.pdf |
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