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...
Main Authors: | , , , , , , , |
---|---|
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 |
id |
ftdryad:oai:v1.datadryad.org:10255/dryad.151128 |
---|---|
record_format |
openpolar |
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 |
_version_ |
1766042753866661888 |