Complex biogeographical patterns support an ecological connectivity network of a large marine predator in the north‐east Atlantic
Abstract Aim The knowledge of a species biogeographical patterns greatly enhances our understanding of geographical ecology, which can improve identifying key conservation needs. Yet, this knowledge is still scarce for many marine top predators. Here, we aim to analyse movement patterns and spatial...
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crwiley:10.1111/ddi.12848 2024-09-30T14:39:53+00:00 Complex biogeographical patterns support an ecological connectivity network of a large marine predator in the north‐east Atlantic Alves, Filipe Alessandrini, Anita Servidio, Antonella Mendonça, Ana Sofia Hartman, Karin L. Prieto, Rui Berrow, Simon Magalhães, Sara Steiner, Lisa Santos, Rui Ferreira, Rita Pérez, Jacobo Marrero Ritter, Fabian Dinis, Ana Martín, Vidal Silva, Mónica Aguilar de Soto, Natacha European Social Fund Fundação para a Ciência e a Tecnologia 2018 http://dx.doi.org/10.1111/ddi.12848 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2Fddi.12848 https://onlinelibrary.wiley.com/doi/pdf/10.1111/ddi.12848 https://onlinelibrary.wiley.com/doi/full-xml/10.1111/ddi.12848 en eng Wiley http://onlinelibrary.wiley.com/termsAndConditions#vor Diversity and Distributions volume 25, issue 2, page 269-284 ISSN 1366-9516 1472-4642 journal-article 2018 crwiley https://doi.org/10.1111/ddi.12848 2024-09-17T04:45:29Z Abstract Aim The knowledge of a species biogeographical patterns greatly enhances our understanding of geographical ecology, which can improve identifying key conservation needs. Yet, this knowledge is still scarce for many marine top predators. Here, we aim to analyse movement patterns and spatial structuring of a large predator, the short‐finned pilot whale Globicephala macrorhynchus, over a wide geographical area. Location North‐east Atlantic, in Macaronesian archipelagos (Azores, Madeira and Canaries) and Iberian Peninsula (Sagres). Methods We used likelihood techniques to estimate residency times and transition probabilities and carried out social analysis from individual photographic identification data, and analysed year‐round distribution from effort‐related sightings, collated between 1999 and 2015. Results The best‐fitting models included emigration and reimmigration and showed different residency times within each archipelago. A total of 26 individual movements from 21 individuals (from a sample of >2,300 individuals) were recorded between Madeira and the neighbouring archipelagos, and heterogeneous transition probabilities were estimated within and between areas. A social network diagram showed associations from animals with distinct residency patterns. Higher significant sighting rates were recorded during autumn in the Azores and Madeira. Main conclusions The variation in site fidelity and year‐round occupancy among areas of the Macaronesia is consistent with some degree of population structuring, which combined with a connectivity network and seasonal inflows from animals inhabiting offshore waters, support the development of a complex social and geographical ecology in short‐finned pilot whales. The combination of techniques applied in this study was an effective way to estimate parameters of movement, which could be a good practice to be used for other scenarios and species. Article in Journal/Newspaper North East Atlantic Wiley Online Library Diversity and Distributions |
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Open Polar |
collection |
Wiley Online Library |
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crwiley |
language |
English |
description |
Abstract Aim The knowledge of a species biogeographical patterns greatly enhances our understanding of geographical ecology, which can improve identifying key conservation needs. Yet, this knowledge is still scarce for many marine top predators. Here, we aim to analyse movement patterns and spatial structuring of a large predator, the short‐finned pilot whale Globicephala macrorhynchus, over a wide geographical area. Location North‐east Atlantic, in Macaronesian archipelagos (Azores, Madeira and Canaries) and Iberian Peninsula (Sagres). Methods We used likelihood techniques to estimate residency times and transition probabilities and carried out social analysis from individual photographic identification data, and analysed year‐round distribution from effort‐related sightings, collated between 1999 and 2015. Results The best‐fitting models included emigration and reimmigration and showed different residency times within each archipelago. A total of 26 individual movements from 21 individuals (from a sample of >2,300 individuals) were recorded between Madeira and the neighbouring archipelagos, and heterogeneous transition probabilities were estimated within and between areas. A social network diagram showed associations from animals with distinct residency patterns. Higher significant sighting rates were recorded during autumn in the Azores and Madeira. Main conclusions The variation in site fidelity and year‐round occupancy among areas of the Macaronesia is consistent with some degree of population structuring, which combined with a connectivity network and seasonal inflows from animals inhabiting offshore waters, support the development of a complex social and geographical ecology in short‐finned pilot whales. The combination of techniques applied in this study was an effective way to estimate parameters of movement, which could be a good practice to be used for other scenarios and species. |
author2 |
European Social Fund Fundação para a Ciência e a Tecnologia |
format |
Article in Journal/Newspaper |
author |
Alves, Filipe Alessandrini, Anita Servidio, Antonella Mendonça, Ana Sofia Hartman, Karin L. Prieto, Rui Berrow, Simon Magalhães, Sara Steiner, Lisa Santos, Rui Ferreira, Rita Pérez, Jacobo Marrero Ritter, Fabian Dinis, Ana Martín, Vidal Silva, Mónica Aguilar de Soto, Natacha |
spellingShingle |
Alves, Filipe Alessandrini, Anita Servidio, Antonella Mendonça, Ana Sofia Hartman, Karin L. Prieto, Rui Berrow, Simon Magalhães, Sara Steiner, Lisa Santos, Rui Ferreira, Rita Pérez, Jacobo Marrero Ritter, Fabian Dinis, Ana Martín, Vidal Silva, Mónica Aguilar de Soto, Natacha Complex biogeographical patterns support an ecological connectivity network of a large marine predator in the north‐east Atlantic |
author_facet |
Alves, Filipe Alessandrini, Anita Servidio, Antonella Mendonça, Ana Sofia Hartman, Karin L. Prieto, Rui Berrow, Simon Magalhães, Sara Steiner, Lisa Santos, Rui Ferreira, Rita Pérez, Jacobo Marrero Ritter, Fabian Dinis, Ana Martín, Vidal Silva, Mónica Aguilar de Soto, Natacha |
author_sort |
Alves, Filipe |
title |
Complex biogeographical patterns support an ecological connectivity network of a large marine predator in the north‐east Atlantic |
title_short |
Complex biogeographical patterns support an ecological connectivity network of a large marine predator in the north‐east Atlantic |
title_full |
Complex biogeographical patterns support an ecological connectivity network of a large marine predator in the north‐east Atlantic |
title_fullStr |
Complex biogeographical patterns support an ecological connectivity network of a large marine predator in the north‐east Atlantic |
title_full_unstemmed |
Complex biogeographical patterns support an ecological connectivity network of a large marine predator in the north‐east Atlantic |
title_sort |
complex biogeographical patterns support an ecological connectivity network of a large marine predator in the north‐east atlantic |
publisher |
Wiley |
publishDate |
2018 |
url |
http://dx.doi.org/10.1111/ddi.12848 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2Fddi.12848 https://onlinelibrary.wiley.com/doi/pdf/10.1111/ddi.12848 https://onlinelibrary.wiley.com/doi/full-xml/10.1111/ddi.12848 |
genre |
North East Atlantic |
genre_facet |
North East Atlantic |
op_source |
Diversity and Distributions volume 25, issue 2, page 269-284 ISSN 1366-9516 1472-4642 |
op_rights |
http://onlinelibrary.wiley.com/termsAndConditions#vor |
op_doi |
https://doi.org/10.1111/ddi.12848 |
container_title |
Diversity and Distributions |
_version_ |
1811642459634008064 |