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Context drives movement patterns in a mobile marine predator
Intra-specific variability in movement behaviour occurs in all major taxonomic groups. Despite its common occurrence and ecological consequences, individual variability is often overlooked. As a result, there is a persistent gap in knowledge about drivers of intra-specific variability in movement an...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10210390/ https://www.ncbi.nlm.nih.gov/pubmed/37226200 http://dx.doi.org/10.1186/s40462-023-00390-5 |
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author | Lubitz, Nicolas Daly, Ryan Filmalter, John D Sheaves, Marcus Cowley, Paul D Naesje, Tor F Barnett, Adam |
author_facet | Lubitz, Nicolas Daly, Ryan Filmalter, John D Sheaves, Marcus Cowley, Paul D Naesje, Tor F Barnett, Adam |
author_sort | Lubitz, Nicolas |
collection | PubMed |
description | Intra-specific variability in movement behaviour occurs in all major taxonomic groups. Despite its common occurrence and ecological consequences, individual variability is often overlooked. As a result, there is a persistent gap in knowledge about drivers of intra-specific variability in movement and its role in fulfilling life history requirements. We apply a context-focused approach to bull sharks (Carcharhinus leucas), a highly mobile marine predator, incorporating intra-specific variability to understand how variable movement patterns arise and how they might be altered under future change scenarios. Spatial analysis of sharks, acoustically tagged both at their distributional limit and the centre of distribution in southern Africa, was combined with spatial analysis of acoustically tagged teleost prey and remote-sensing of environmental variables. The objective was to test the hypothesis that varying resource availability and magnitude of seasonal environmental change in different locations interact to produce variable yet predictable movement behaviours across a species’ distribution. Sharks from both locations showed high seasonal overlap with predictable prey aggregations. Patterns were variable in the centre of distribution, where residency, small- and large-scale movements were all recorded. In contrast, all animals from the distributional limit performed ‘leap-frog migrations’, making long-distance migrations bypassing conspecifics in the centre of distribution. By combining multiple variables related to life history requirements for animals in different environments we identified combinations of key drivers that explain the occurrence of differing movement behaviours across different contexts and delineated the effects of environmental factors and prey dynamics on predator movement. Comparisons with other taxa show striking similarities in patterns of intra-specific variability across terrestrial and marine species, suggesting common drivers. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40462-023-00390-5. |
format | Online Article Text |
id | pubmed-10210390 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-102103902023-05-26 Context drives movement patterns in a mobile marine predator Lubitz, Nicolas Daly, Ryan Filmalter, John D Sheaves, Marcus Cowley, Paul D Naesje, Tor F Barnett, Adam Mov Ecol Research Intra-specific variability in movement behaviour occurs in all major taxonomic groups. Despite its common occurrence and ecological consequences, individual variability is often overlooked. As a result, there is a persistent gap in knowledge about drivers of intra-specific variability in movement and its role in fulfilling life history requirements. We apply a context-focused approach to bull sharks (Carcharhinus leucas), a highly mobile marine predator, incorporating intra-specific variability to understand how variable movement patterns arise and how they might be altered under future change scenarios. Spatial analysis of sharks, acoustically tagged both at their distributional limit and the centre of distribution in southern Africa, was combined with spatial analysis of acoustically tagged teleost prey and remote-sensing of environmental variables. The objective was to test the hypothesis that varying resource availability and magnitude of seasonal environmental change in different locations interact to produce variable yet predictable movement behaviours across a species’ distribution. Sharks from both locations showed high seasonal overlap with predictable prey aggregations. Patterns were variable in the centre of distribution, where residency, small- and large-scale movements were all recorded. In contrast, all animals from the distributional limit performed ‘leap-frog migrations’, making long-distance migrations bypassing conspecifics in the centre of distribution. By combining multiple variables related to life history requirements for animals in different environments we identified combinations of key drivers that explain the occurrence of differing movement behaviours across different contexts and delineated the effects of environmental factors and prey dynamics on predator movement. Comparisons with other taxa show striking similarities in patterns of intra-specific variability across terrestrial and marine species, suggesting common drivers. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40462-023-00390-5. BioMed Central 2023-05-24 /pmc/articles/PMC10210390/ /pubmed/37226200 http://dx.doi.org/10.1186/s40462-023-00390-5 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Lubitz, Nicolas Daly, Ryan Filmalter, John D Sheaves, Marcus Cowley, Paul D Naesje, Tor F Barnett, Adam Context drives movement patterns in a mobile marine predator |
title | Context drives movement patterns in a mobile marine predator |
title_full | Context drives movement patterns in a mobile marine predator |
title_fullStr | Context drives movement patterns in a mobile marine predator |
title_full_unstemmed | Context drives movement patterns in a mobile marine predator |
title_short | Context drives movement patterns in a mobile marine predator |
title_sort | context drives movement patterns in a mobile marine predator |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10210390/ https://www.ncbi.nlm.nih.gov/pubmed/37226200 http://dx.doi.org/10.1186/s40462-023-00390-5 |
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