Habitat suitability modeling in different sperm whale social groups
ABSTRACT The identification of significant habitats for highly mobile marine vertebrates is essential for their conservation. Evidence is often difficult to obtain for deep‐diving species such as sperm whales ( Physeter macrocephalus ), where standard visual survey methods are not sufficient to dete...
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crwiley:10.1002/jwmg.21453 2024-06-02T08:13:17+00:00 Habitat suitability modeling in different sperm whale social groups Pace, Daniela Silvia Arcangeli, Antonella Mussi, Barbara Vivaldi, Carlotta Ledon, Cristina Lagorio, Serena Giacomini, Giancarlo Pavan, Gianni Ardizzone, Giandomenico 2018 http://dx.doi.org/10.1002/jwmg.21453 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fjwmg.21453 https://onlinelibrary.wiley.com/doi/full/10.1002/jwmg.21453 en eng Wiley http://onlinelibrary.wiley.com/termsAndConditions#vor The Journal of Wildlife Management volume 82, issue 5, page 1062-1073 ISSN 0022-541X 1937-2817 journal-article 2018 crwiley https://doi.org/10.1002/jwmg.21453 2024-05-03T11:29:14Z ABSTRACT The identification of significant habitats for highly mobile marine vertebrates is essential for their conservation. Evidence is often difficult to obtain for deep‐diving species such as sperm whales ( Physeter macrocephalus ), where standard visual survey methods are not sufficient to detect the species. Sperm whales rely on sound for most of their activities, so acoustics is a crucial tool to locate them in the environment and collect information about their daily life. We used a maximum entropy (MaxEnt) modeling approach to predict potential habitats for sperm whales during 2007–2015 in an area of the Mediterranean Sea (characterized by submarine canyon systems) where sperm whale singletons, social units of females and calves, and clusters with immature males, were regularly encountered in sympatry. Models to test species’ distribution and the potential differences between groups of varying composition and life stages were based on 3 independent variables (depth, slope, and Euclidean distance from the nearest coast) and a combination of presence‐only visual and acoustic data from boat‐based surveys. One variable (depth) was the strongest predictor in all encounters (pooled data) and clusters, whereas distance from coast and slope best predicted encounters with singletons and social units, respectively. The model predicted suitable locations in areas that were well‐known sperm whale habitat and in new regions of previously overlooked habitat, which possibly represent key areas for this endangered species in the Mediterranean. This study highlights that consideration should be taken regarding type of social aggregation when using modeling techniques for generating suitable habitat maps for conservation purposes. © 2018 The Wildlife Society. Article in Journal/Newspaper Physeter macrocephalus Sperm whale Wiley Online Library The Journal of Wildlife Management 82 5 1062 1073 |
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Open Polar |
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Wiley Online Library |
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crwiley |
language |
English |
description |
ABSTRACT The identification of significant habitats for highly mobile marine vertebrates is essential for their conservation. Evidence is often difficult to obtain for deep‐diving species such as sperm whales ( Physeter macrocephalus ), where standard visual survey methods are not sufficient to detect the species. Sperm whales rely on sound for most of their activities, so acoustics is a crucial tool to locate them in the environment and collect information about their daily life. We used a maximum entropy (MaxEnt) modeling approach to predict potential habitats for sperm whales during 2007–2015 in an area of the Mediterranean Sea (characterized by submarine canyon systems) where sperm whale singletons, social units of females and calves, and clusters with immature males, were regularly encountered in sympatry. Models to test species’ distribution and the potential differences between groups of varying composition and life stages were based on 3 independent variables (depth, slope, and Euclidean distance from the nearest coast) and a combination of presence‐only visual and acoustic data from boat‐based surveys. One variable (depth) was the strongest predictor in all encounters (pooled data) and clusters, whereas distance from coast and slope best predicted encounters with singletons and social units, respectively. The model predicted suitable locations in areas that were well‐known sperm whale habitat and in new regions of previously overlooked habitat, which possibly represent key areas for this endangered species in the Mediterranean. This study highlights that consideration should be taken regarding type of social aggregation when using modeling techniques for generating suitable habitat maps for conservation purposes. © 2018 The Wildlife Society. |
format |
Article in Journal/Newspaper |
author |
Pace, Daniela Silvia Arcangeli, Antonella Mussi, Barbara Vivaldi, Carlotta Ledon, Cristina Lagorio, Serena Giacomini, Giancarlo Pavan, Gianni Ardizzone, Giandomenico |
spellingShingle |
Pace, Daniela Silvia Arcangeli, Antonella Mussi, Barbara Vivaldi, Carlotta Ledon, Cristina Lagorio, Serena Giacomini, Giancarlo Pavan, Gianni Ardizzone, Giandomenico Habitat suitability modeling in different sperm whale social groups |
author_facet |
Pace, Daniela Silvia Arcangeli, Antonella Mussi, Barbara Vivaldi, Carlotta Ledon, Cristina Lagorio, Serena Giacomini, Giancarlo Pavan, Gianni Ardizzone, Giandomenico |
author_sort |
Pace, Daniela Silvia |
title |
Habitat suitability modeling in different sperm whale social groups |
title_short |
Habitat suitability modeling in different sperm whale social groups |
title_full |
Habitat suitability modeling in different sperm whale social groups |
title_fullStr |
Habitat suitability modeling in different sperm whale social groups |
title_full_unstemmed |
Habitat suitability modeling in different sperm whale social groups |
title_sort |
habitat suitability modeling in different sperm whale social groups |
publisher |
Wiley |
publishDate |
2018 |
url |
http://dx.doi.org/10.1002/jwmg.21453 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fjwmg.21453 https://onlinelibrary.wiley.com/doi/full/10.1002/jwmg.21453 |
genre |
Physeter macrocephalus Sperm whale |
genre_facet |
Physeter macrocephalus Sperm whale |
op_source |
The Journal of Wildlife Management volume 82, issue 5, page 1062-1073 ISSN 0022-541X 1937-2817 |
op_rights |
http://onlinelibrary.wiley.com/termsAndConditions#vor |
op_doi |
https://doi.org/10.1002/jwmg.21453 |
container_title |
The Journal of Wildlife Management |
container_volume |
82 |
container_issue |
5 |
container_start_page |
1062 |
op_container_end_page |
1073 |
_version_ |
1800736723144015872 |