Data from: Can collective memories shape fish distributions? A test, linking space-time occurrence models and population demographics

Social learning can be fundamental to cohesive group living, and schooling fishes have proven ideal test subjects for recent work in this field. For many species, both demographic factors, and inter- (and intra-) generational information exchange are considered vital ingredients in how movement deci...

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Main Authors: Macdonald, Jed I., Logemann, Kai, Krainski, Elias T., Sigurðsson, Þorsteinn, Beale, Colin M., Huse, Geir, Hjøllo, Solfrid S., Marteinsdóttir, Guðrún
Format: Article in Journal/Newspaper
Language:unknown
Published: 2017
Subjects:
Online Access:http://hdl.handle.net/10255/dryad.151128
https://doi.org/10.5061/dryad.9v46k
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spelling ftdryad:oai:v1.datadryad.org:10255/dryad.151128 2023-05-15T16:52:28+02:00 Data from: Can collective memories shape fish distributions? A test, linking space-time occurrence models and population demographics Macdonald, Jed I. Logemann, Kai Krainski, Elias T. Sigurðsson, Þorsteinn Beale, Colin M. Huse, Geir Hjøllo, Solfrid S. Marteinsdóttir, Guðrún Iceland 2017-07-13T05:25:21Z http://hdl.handle.net/10255/dryad.151128 https://doi.org/10.5061/dryad.9v46k unknown doi:10.5061/dryad.9v46k/1 doi:10.5061/dryad.9v46k/2 doi:10.1111/ecog.03098 doi:10.5061/dryad.9v46k Macdonald JI, Logemann K, Krainski ET, Sigurðsson Þ, Beale CM, Huse G, Hjøllo SS, Marteinsdóttir G (2018) Can collective memories shape fish distributions? A test, linking space-time occurrence models and population demographics. Ecography 41(6): 938-957. http://hdl.handle.net/10255/dryad.151128 collective behaviour environmental effects fishery management INLA schooling fishes spatial memory temperature traditions Article 2017 ftdryad https://doi.org/10.5061/dryad.9v46k https://doi.org/10.5061/dryad.9v46k/1 https://doi.org/10.5061/dryad.9v46k/2 https://doi.org/10.1111/ecog.03098 2020-01-01T15:53:41Z Social learning can be fundamental to cohesive group living, and schooling fishes have proven ideal test subjects for recent work in this field. For many species, both demographic factors, and inter- (and intra-) generational information exchange are considered vital ingredients in how movement decisions are reached. Yet key information is often missing on the spatial outcomes of such decisions, and questions concerning how migratory traditions are influenced by collective memory, density-dependent and density-independent processes remain open. To explore these issues, we focused on Atlantic herring (Clupea harengus), a long-lived, dense-schooling species of high commercial importance, noted for its unpredictable shifts in winter distribution, and developed a series of Bayesian space-time occurrence models to investigate wintering dynamics over 23 years, using point-referenced fishery and survey records from Icelandic waters. We included covariates reflecting local-scale environmental factors, temporally-lagged prey biomass and recent fishing activity, and through an index capturing distributional persistence over time, derived two proxies for spatial memory of past wintering sites. The previous winter's occurrence pattern was a strong predictor of the present pattern, its influence increasing with adult population size. Although the mechanistic underpinnings of this result remain uncertain, we suggest that a ‘wisdom of the crowd’ dynamic may be at play, by which navigational accuracy towards traditional wintering sites improves in larger and/or denser, better synchronized schools. Wintering herring also preferred warmer, fresher, moderately stratified waters of lower velocity, close to hotspots of summer zooplankton biomass, our results indicative of heightened environmental sensitivity in younger cohorts. Incorporating spatiotemporal correlation structure and time-varying regression coefficients improved model performance, and validation tests on independent observations one-year ahead illustrate the potential of uniting demographic information and non-stationary models to quantify both the strength of collective memory in animal groups and its relevance for the spatial management of populations. Article in Journal/Newspaper Iceland Dryad Digital Repository (Duke University)
institution Open Polar
collection Dryad Digital Repository (Duke University)
op_collection_id ftdryad
language unknown
topic collective behaviour
environmental effects
fishery management
INLA
schooling fishes
spatial memory
temperature
traditions
spellingShingle collective behaviour
environmental effects
fishery management
INLA
schooling fishes
spatial memory
temperature
traditions
Macdonald, Jed I.
Logemann, Kai
Krainski, Elias T.
Sigurðsson, Þorsteinn
Beale, Colin M.
Huse, Geir
Hjøllo, Solfrid S.
Marteinsdóttir, Guðrún
Data from: Can collective memories shape fish distributions? A test, linking space-time occurrence models and population demographics
topic_facet collective behaviour
environmental effects
fishery management
INLA
schooling fishes
spatial memory
temperature
traditions
description Social learning can be fundamental to cohesive group living, and schooling fishes have proven ideal test subjects for recent work in this field. For many species, both demographic factors, and inter- (and intra-) generational information exchange are considered vital ingredients in how movement decisions are reached. Yet key information is often missing on the spatial outcomes of such decisions, and questions concerning how migratory traditions are influenced by collective memory, density-dependent and density-independent processes remain open. To explore these issues, we focused on Atlantic herring (Clupea harengus), a long-lived, dense-schooling species of high commercial importance, noted for its unpredictable shifts in winter distribution, and developed a series of Bayesian space-time occurrence models to investigate wintering dynamics over 23 years, using point-referenced fishery and survey records from Icelandic waters. We included covariates reflecting local-scale environmental factors, temporally-lagged prey biomass and recent fishing activity, and through an index capturing distributional persistence over time, derived two proxies for spatial memory of past wintering sites. The previous winter's occurrence pattern was a strong predictor of the present pattern, its influence increasing with adult population size. Although the mechanistic underpinnings of this result remain uncertain, we suggest that a ‘wisdom of the crowd’ dynamic may be at play, by which navigational accuracy towards traditional wintering sites improves in larger and/or denser, better synchronized schools. Wintering herring also preferred warmer, fresher, moderately stratified waters of lower velocity, close to hotspots of summer zooplankton biomass, our results indicative of heightened environmental sensitivity in younger cohorts. Incorporating spatiotemporal correlation structure and time-varying regression coefficients improved model performance, and validation tests on independent observations one-year ahead illustrate the potential of uniting demographic information and non-stationary models to quantify both the strength of collective memory in animal groups and its relevance for the spatial management of populations.
format Article in Journal/Newspaper
author Macdonald, Jed I.
Logemann, Kai
Krainski, Elias T.
Sigurðsson, Þorsteinn
Beale, Colin M.
Huse, Geir
Hjøllo, Solfrid S.
Marteinsdóttir, Guðrún
author_facet Macdonald, Jed I.
Logemann, Kai
Krainski, Elias T.
Sigurðsson, Þorsteinn
Beale, Colin M.
Huse, Geir
Hjøllo, Solfrid S.
Marteinsdóttir, Guðrún
author_sort Macdonald, Jed I.
title Data from: Can collective memories shape fish distributions? A test, linking space-time occurrence models and population demographics
title_short Data from: Can collective memories shape fish distributions? A test, linking space-time occurrence models and population demographics
title_full Data from: Can collective memories shape fish distributions? A test, linking space-time occurrence models and population demographics
title_fullStr Data from: Can collective memories shape fish distributions? A test, linking space-time occurrence models and population demographics
title_full_unstemmed Data from: Can collective memories shape fish distributions? A test, linking space-time occurrence models and population demographics
title_sort data from: can collective memories shape fish distributions? a test, linking space-time occurrence models and population demographics
publishDate 2017
url http://hdl.handle.net/10255/dryad.151128
https://doi.org/10.5061/dryad.9v46k
op_coverage Iceland
genre Iceland
genre_facet Iceland
op_relation doi:10.5061/dryad.9v46k/1
doi:10.5061/dryad.9v46k/2
doi:10.1111/ecog.03098
doi:10.5061/dryad.9v46k
Macdonald JI, Logemann K, Krainski ET, Sigurðsson Þ, Beale CM, Huse G, Hjøllo SS, Marteinsdóttir G (2018) Can collective memories shape fish distributions? A test, linking space-time occurrence models and population demographics. Ecography 41(6): 938-957.
http://hdl.handle.net/10255/dryad.151128
op_doi https://doi.org/10.5061/dryad.9v46k
https://doi.org/10.5061/dryad.9v46k/1
https://doi.org/10.5061/dryad.9v46k/2
https://doi.org/10.1111/ecog.03098
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