Fine-scale population dynamics in a marine fish species inferred from dynamic state-space models

Identifying the spatial scale of population structuring is critical for the conservation of natural populations and for drawing accurate ecological inferences. However, population studies often use spatially aggregated data to draw inferences about population trends and drivers, potentially masking...

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Published in:Journal of Animal Ecology
Main Authors: Rogers, Lauren, Storvik, Geir Olve, Knutsen, Halvor, Olsen, Esben Moland, Stenseth, Nils Christian
Format: Article in Journal/Newspaper
Language:English
Published: Wiley 2017
Subjects:
Online Access:http://hdl.handle.net/11250/2484398
https://doi.org/10.1111/1365-2656.12678
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spelling ftagderuniv:oai:uia.brage.unit.no:11250/2484398 2024-09-15T17:55:34+00:00 Fine-scale population dynamics in a marine fish species inferred from dynamic state-space models Rogers, Lauren Storvik, Geir Olve Knutsen, Halvor Olsen, Esben Moland Stenseth, Nils Christian 2017 application/pdf http://hdl.handle.net/11250/2484398 https://doi.org/10.1111/1365-2656.12678 eng eng Wiley Journal of Animal Ecology. 2017, 86 (4), 888-898. urn:issn:0021-8790 http://hdl.handle.net/11250/2484398 https://doi.org/10.1111/1365-2656.12678 cristin:1468786 Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal http://creativecommons.org/licenses/by-nc-nd/4.0/deed.no 888-898 86 Journal of Animal Ecology 4 Journal article Peer reviewed 2017 ftagderuniv https://doi.org/10.1111/1365-2656.12678 2024-07-04T03:04:25Z Identifying the spatial scale of population structuring is critical for the conservation of natural populations and for drawing accurate ecological inferences. However, population studies often use spatially aggregated data to draw inferences about population trends and drivers, potentially masking ecologically relevant population sub-structure and dynamics. The goals of this study were to investigate how population dynamics models with and without spatial structure affect inferences on population trends and the identification of intrinsic drivers of population dynamics (e.g. density dependence). Specifically, we developed dynamic, age-structured, state-space models to test different hypotheses regarding the spatial structure of a population complex of coastal Atlantic cod (Gadus morhua). Data were from a 93-year survey of juvenile (age 0 and 1) cod sampled along >200 km of the Norwegian Skagerrak coast. We compared two models: one which assumes all sampled cod belong to one larger population, and a second which assumes that each fjord contains a unique population with locally determined dynamics. Using the best supported model, we then reconstructed the historical spatial and temporal dynamics of Skagerrak coastal cod. Cross-validation showed that the spatially structured model with local dynamics had better predictive ability. Furthermore, posterior predictive checks showed that a model which assumes one homogeneous population failed to capture the spatial correlation pattern present in the survey data. The spatially structured model indicated that population trends differed markedly among fjords, as did estimates of population parameters including density-dependent survival. Recent biomass was estimated to be at a near-record low all along the coast, but the finer scale model indicated that the decline occurred at different times in different regions. Warm temperatures were associated with poor recruitment, but local changes in habitat and fishing pressure may have played a role in driving local dynamics. ... Article in Journal/Newspaper atlantic cod Gadus morhua Unvieristy of Agder: AURA Journal of Animal Ecology 86 4 888 898
institution Open Polar
collection Unvieristy of Agder: AURA
op_collection_id ftagderuniv
language English
description Identifying the spatial scale of population structuring is critical for the conservation of natural populations and for drawing accurate ecological inferences. However, population studies often use spatially aggregated data to draw inferences about population trends and drivers, potentially masking ecologically relevant population sub-structure and dynamics. The goals of this study were to investigate how population dynamics models with and without spatial structure affect inferences on population trends and the identification of intrinsic drivers of population dynamics (e.g. density dependence). Specifically, we developed dynamic, age-structured, state-space models to test different hypotheses regarding the spatial structure of a population complex of coastal Atlantic cod (Gadus morhua). Data were from a 93-year survey of juvenile (age 0 and 1) cod sampled along >200 km of the Norwegian Skagerrak coast. We compared two models: one which assumes all sampled cod belong to one larger population, and a second which assumes that each fjord contains a unique population with locally determined dynamics. Using the best supported model, we then reconstructed the historical spatial and temporal dynamics of Skagerrak coastal cod. Cross-validation showed that the spatially structured model with local dynamics had better predictive ability. Furthermore, posterior predictive checks showed that a model which assumes one homogeneous population failed to capture the spatial correlation pattern present in the survey data. The spatially structured model indicated that population trends differed markedly among fjords, as did estimates of population parameters including density-dependent survival. Recent biomass was estimated to be at a near-record low all along the coast, but the finer scale model indicated that the decline occurred at different times in different regions. Warm temperatures were associated with poor recruitment, but local changes in habitat and fishing pressure may have played a role in driving local dynamics. ...
format Article in Journal/Newspaper
author Rogers, Lauren
Storvik, Geir Olve
Knutsen, Halvor
Olsen, Esben Moland
Stenseth, Nils Christian
spellingShingle Rogers, Lauren
Storvik, Geir Olve
Knutsen, Halvor
Olsen, Esben Moland
Stenseth, Nils Christian
Fine-scale population dynamics in a marine fish species inferred from dynamic state-space models
author_facet Rogers, Lauren
Storvik, Geir Olve
Knutsen, Halvor
Olsen, Esben Moland
Stenseth, Nils Christian
author_sort Rogers, Lauren
title Fine-scale population dynamics in a marine fish species inferred from dynamic state-space models
title_short Fine-scale population dynamics in a marine fish species inferred from dynamic state-space models
title_full Fine-scale population dynamics in a marine fish species inferred from dynamic state-space models
title_fullStr Fine-scale population dynamics in a marine fish species inferred from dynamic state-space models
title_full_unstemmed Fine-scale population dynamics in a marine fish species inferred from dynamic state-space models
title_sort fine-scale population dynamics in a marine fish species inferred from dynamic state-space models
publisher Wiley
publishDate 2017
url http://hdl.handle.net/11250/2484398
https://doi.org/10.1111/1365-2656.12678
genre atlantic cod
Gadus morhua
genre_facet atlantic cod
Gadus morhua
op_source 888-898
86
Journal of Animal Ecology
4
op_relation Journal of Animal Ecology. 2017, 86 (4), 888-898.
urn:issn:0021-8790
http://hdl.handle.net/11250/2484398
https://doi.org/10.1111/1365-2656.12678
cristin:1468786
op_rights Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
http://creativecommons.org/licenses/by-nc-nd/4.0/deed.no
op_doi https://doi.org/10.1111/1365-2656.12678
container_title Journal of Animal Ecology
container_volume 86
container_issue 4
container_start_page 888
op_container_end_page 898
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