Characterising essential breeding habitat for whales informs the development of large-scale Marine Protected Areas in the South Pacific
There are significant challenges associated with mapping critical habitat for large, migratory species. The humpback whales of Oceania in the South Pacific are no exception, with their winter breeding grounds spanning >4000 km of ocean basin. This subpopulation is listed as endangered, but there...
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ftunivphilosban:oai:www.ukdr.uplb.edu.ph:journal-articles-2652 2023-05-15T16:36:08+02:00 Characterising essential breeding habitat for whales informs the development of large-scale Marine Protected Areas in the South Pacific Lindsay, Rebecca E. Constantine, Rochelle Robbins, Jooke Mattila, David K. Tagarino, Alden Dennis, Todd E. 2016-04-01T07:00:00Z https://www.ukdr.uplb.edu.ph/journal-articles/1609 https://www.researchgate.net/publication/295257513_Characterising_essential_breeding_habitat_for_whales_informs_the_development_of_large-scale_Marine_Protected_Areas_in_the_South_Pacific English eng University Knowledge Digital Repository https://www.ukdr.uplb.edu.ph/journal-articles/1609 https://www.researchgate.net/publication/295257513_Characterising_essential_breeding_habitat_for_whales_informs_the_development_of_large-scale_Marine_Protected_Areas_in_the_South_Pacific Journal Article Habitat Humpback whale Maximum entropy modelling Megaptera novaeangliae MPA text 2016 ftunivphilosban 2023-03-05T06:53:12Z There are significant challenges associated with mapping critical habitat for large, migratory species. The humpback whales of Oceania in the South Pacific are no exception, with their winter breeding grounds spanning >4000 km of ocean basin. This subpopulation is listed as endangered, but there are few systematic spatial data with which to prioritise specific areas for additional research or conservation. A few sites in Oceania have been the focus of long-term, non-systematic population surveys. Using the maximum entropy algorithm, we developed predictive habitat models for 2 such sites: American Samoa 2003-2010 (n = 300) and Tonga 1996-2007 (n = 475), using sightings of whale groups and environmental factors hypothesised to influence their space-use patterns. At both sites, shallow water was the best predictor of the spatial distribution of mother-calf pairs. In contrast, access to deep water was important for adult groups, and sea-floor slope and rugosity influenced habitat suitability for males engaged in acoustic breeding displays. Our study illustrates the value of predictive modelling for identifying habitat partitioning for specific sub-groups of a wider population. Similarities between habitat requirements predicted in our study to those identified for other populations suggest that the slow recovery of Oceania humpback whales cannot be attributed to unusual breeding-habitat needs; instead, there may be other factors influencing the slow increase in population size. We recommend that the modelling techniques utilised here be used to identify other breeding sites within Oceania for future research and conservation efforts across the South Pacific region. Text Humpback Whale Megaptera novaeangliae University Knowledge Digital Repository UPLB (University of the Philippines Los Baños) Pacific Tonga ENVELOPE(7.990,7.990,63.065,63.065) |
institution |
Open Polar |
collection |
University Knowledge Digital Repository UPLB (University of the Philippines Los Baños) |
op_collection_id |
ftunivphilosban |
language |
English |
topic |
Habitat Humpback whale Maximum entropy modelling Megaptera novaeangliae MPA |
spellingShingle |
Habitat Humpback whale Maximum entropy modelling Megaptera novaeangliae MPA Lindsay, Rebecca E. Constantine, Rochelle Robbins, Jooke Mattila, David K. Tagarino, Alden Dennis, Todd E. Characterising essential breeding habitat for whales informs the development of large-scale Marine Protected Areas in the South Pacific |
topic_facet |
Habitat Humpback whale Maximum entropy modelling Megaptera novaeangliae MPA |
description |
There are significant challenges associated with mapping critical habitat for large, migratory species. The humpback whales of Oceania in the South Pacific are no exception, with their winter breeding grounds spanning >4000 km of ocean basin. This subpopulation is listed as endangered, but there are few systematic spatial data with which to prioritise specific areas for additional research or conservation. A few sites in Oceania have been the focus of long-term, non-systematic population surveys. Using the maximum entropy algorithm, we developed predictive habitat models for 2 such sites: American Samoa 2003-2010 (n = 300) and Tonga 1996-2007 (n = 475), using sightings of whale groups and environmental factors hypothesised to influence their space-use patterns. At both sites, shallow water was the best predictor of the spatial distribution of mother-calf pairs. In contrast, access to deep water was important for adult groups, and sea-floor slope and rugosity influenced habitat suitability for males engaged in acoustic breeding displays. Our study illustrates the value of predictive modelling for identifying habitat partitioning for specific sub-groups of a wider population. Similarities between habitat requirements predicted in our study to those identified for other populations suggest that the slow recovery of Oceania humpback whales cannot be attributed to unusual breeding-habitat needs; instead, there may be other factors influencing the slow increase in population size. We recommend that the modelling techniques utilised here be used to identify other breeding sites within Oceania for future research and conservation efforts across the South Pacific region. |
format |
Text |
author |
Lindsay, Rebecca E. Constantine, Rochelle Robbins, Jooke Mattila, David K. Tagarino, Alden Dennis, Todd E. |
author_facet |
Lindsay, Rebecca E. Constantine, Rochelle Robbins, Jooke Mattila, David K. Tagarino, Alden Dennis, Todd E. |
author_sort |
Lindsay, Rebecca E. |
title |
Characterising essential breeding habitat for whales informs the development of large-scale Marine Protected Areas in the South Pacific |
title_short |
Characterising essential breeding habitat for whales informs the development of large-scale Marine Protected Areas in the South Pacific |
title_full |
Characterising essential breeding habitat for whales informs the development of large-scale Marine Protected Areas in the South Pacific |
title_fullStr |
Characterising essential breeding habitat for whales informs the development of large-scale Marine Protected Areas in the South Pacific |
title_full_unstemmed |
Characterising essential breeding habitat for whales informs the development of large-scale Marine Protected Areas in the South Pacific |
title_sort |
characterising essential breeding habitat for whales informs the development of large-scale marine protected areas in the south pacific |
publisher |
University Knowledge Digital Repository |
publishDate |
2016 |
url |
https://www.ukdr.uplb.edu.ph/journal-articles/1609 https://www.researchgate.net/publication/295257513_Characterising_essential_breeding_habitat_for_whales_informs_the_development_of_large-scale_Marine_Protected_Areas_in_the_South_Pacific |
long_lat |
ENVELOPE(7.990,7.990,63.065,63.065) |
geographic |
Pacific Tonga |
geographic_facet |
Pacific Tonga |
genre |
Humpback Whale Megaptera novaeangliae |
genre_facet |
Humpback Whale Megaptera novaeangliae |
op_source |
Journal Article |
op_relation |
https://www.ukdr.uplb.edu.ph/journal-articles/1609 https://www.researchgate.net/publication/295257513_Characterising_essential_breeding_habitat_for_whales_informs_the_development_of_large-scale_Marine_Protected_Areas_in_the_South_Pacific |
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1766026441120546816 |