Habitat modelling of tracking data from multiple marine predators identifies important areas in the Southern Indian Ocean
AIM : The distribution of marine predators is driven by the distribution and abundance of their prey; areas preferred by multiple marine predator species should therefore indicate areas of ecological significance. The Southern Ocean supports large populations of seabirds and marine mammals and is un...
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Online Access: | http://hdl.handle.net/2263/68962 https://doi.org/10.1111/ddi.12702 |
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ftunivpretoria:oai:repository.up.ac.za:2263/68962 2023-05-15T13:48:21+02:00 Habitat modelling of tracking data from multiple marine predators identifies important areas in the Southern Indian Ocean Reisinger, Ryan Rudolf Raymond, Ben Hindell, Mark A. Bester, Marthan Nieuwoudt Crawford, Robert J.M. Davies, Delia De Bruyn, P.J. Nico Dilley, Ben J. Kirkman, Stephen P. Makhado, Azwianewi B. Ryan, Peter G. Schoombie, Stefan Stevens, Kim Sumner, Michael D. Tosh, Cheryl A. Wege, Mia Whitehead, Thomas Otto Wotherspoon, Simon Pistorius, Pierre Anton 2018-04 http://hdl.handle.net/2263/68962 https://doi.org/10.1111/ddi.12702 en eng Wiley http://hdl.handle.net/2263/68962 Reisinger RR, Raymond B, Hindell MA, et al. Habitat modelling of tracking data from multiple marine predators identifies important areas in the Southern Indian Ocean. Diversity and Distributions 2018;24:535–550. https://doi.org/10.1111/ddi.12702. 1366-9516 (print) 1472-4642 (online) doi:10.1111/ddi.12702 © 2018 John Wiley & Sons Ltd. This is the pre-peer reviewed version of the following article : Habitat modelling of tracking data from multiple marine predators identifies important areas in the Southern Indian Ocean. Diversity and Distributions 2018;24:535–550. https://doi.org/10.1111/ddi.12702. The definite version is available at : http://wileyonlinelibrary.com/journal/ddi. Seabirds Marine protected areas Marine mammals Hotspots Distribution models Distribution Areas of ecological significance Southern Indian Ocean Postprint Article 2018 ftunivpretoria https://doi.org/10.1111/ddi.12702 2022-05-31T13:35:34Z AIM : The distribution of marine predators is driven by the distribution and abundance of their prey; areas preferred by multiple marine predator species should therefore indicate areas of ecological significance. The Southern Ocean supports large populations of seabirds and marine mammals and is undergoing rapid environmental change. The management and conservation of these predators and their environment relies on understanding their distribution and its link with the biophysical environment, as the latter determines the distribution and abundance of prey. We addressed this issue using tracking data from 14 species of marine predators to identify important habitat. LOCATION : Indian Ocean sector of the Southern Ocean. METHODS : We used tracking data from 538 tag deployments made over a decade at the Subantarctic Prince Edward Islands. For each real track, we simulated a set of pseudo‐tracks that allowed a presence‐availability habitat modelling approach that estimates an animal's habitat preference. Using model ensembles of boosted regression trees and random forests, we modelled these tracks as a response to a set of 17 environmental variables. We combined the resulting species‐specific models to evaluate areas of mean importance. RESULTS : Real tracking locations covered 39.75 million km2, up to 7,813 km from the Prince Edward Islands. Areas of high mean importance were located broadly from the Subtropical Zone to the Polar Frontal Zone in summer and from the Subantarctic to Antarctic Zones in winter. Areas of high mean importance were best predicted by factors including wind speed, sea surface temperature, depth and current speed. MAIN CONCLUSIONS : The models and predictions developed here identify important habitat of marine predators around the Prince Edward Islands and can support the large‐scale conservation and management of Subantarctic ecosystems and the marine predators they sustain. The results also form the basis of future efforts to predict the consequences of environmental change. A National ... Article in Journal/Newspaper Antarc* Antarctic Prince Edward Islands Southern Ocean University of Pretoria: UPSpace Antarctic Southern Ocean Indian Diversity and Distributions 24 4 535 550 |
institution |
Open Polar |
collection |
University of Pretoria: UPSpace |
op_collection_id |
ftunivpretoria |
language |
English |
topic |
Seabirds Marine protected areas Marine mammals Hotspots Distribution models Distribution Areas of ecological significance Southern Indian Ocean |
spellingShingle |
Seabirds Marine protected areas Marine mammals Hotspots Distribution models Distribution Areas of ecological significance Southern Indian Ocean Reisinger, Ryan Rudolf Raymond, Ben Hindell, Mark A. Bester, Marthan Nieuwoudt Crawford, Robert J.M. Davies, Delia De Bruyn, P.J. Nico Dilley, Ben J. Kirkman, Stephen P. Makhado, Azwianewi B. Ryan, Peter G. Schoombie, Stefan Stevens, Kim Sumner, Michael D. Tosh, Cheryl A. Wege, Mia Whitehead, Thomas Otto Wotherspoon, Simon Pistorius, Pierre Anton Habitat modelling of tracking data from multiple marine predators identifies important areas in the Southern Indian Ocean |
topic_facet |
Seabirds Marine protected areas Marine mammals Hotspots Distribution models Distribution Areas of ecological significance Southern Indian Ocean |
description |
AIM : The distribution of marine predators is driven by the distribution and abundance of their prey; areas preferred by multiple marine predator species should therefore indicate areas of ecological significance. The Southern Ocean supports large populations of seabirds and marine mammals and is undergoing rapid environmental change. The management and conservation of these predators and their environment relies on understanding their distribution and its link with the biophysical environment, as the latter determines the distribution and abundance of prey. We addressed this issue using tracking data from 14 species of marine predators to identify important habitat. LOCATION : Indian Ocean sector of the Southern Ocean. METHODS : We used tracking data from 538 tag deployments made over a decade at the Subantarctic Prince Edward Islands. For each real track, we simulated a set of pseudo‐tracks that allowed a presence‐availability habitat modelling approach that estimates an animal's habitat preference. Using model ensembles of boosted regression trees and random forests, we modelled these tracks as a response to a set of 17 environmental variables. We combined the resulting species‐specific models to evaluate areas of mean importance. RESULTS : Real tracking locations covered 39.75 million km2, up to 7,813 km from the Prince Edward Islands. Areas of high mean importance were located broadly from the Subtropical Zone to the Polar Frontal Zone in summer and from the Subantarctic to Antarctic Zones in winter. Areas of high mean importance were best predicted by factors including wind speed, sea surface temperature, depth and current speed. MAIN CONCLUSIONS : The models and predictions developed here identify important habitat of marine predators around the Prince Edward Islands and can support the large‐scale conservation and management of Subantarctic ecosystems and the marine predators they sustain. The results also form the basis of future efforts to predict the consequences of environmental change. A National ... |
format |
Article in Journal/Newspaper |
author |
Reisinger, Ryan Rudolf Raymond, Ben Hindell, Mark A. Bester, Marthan Nieuwoudt Crawford, Robert J.M. Davies, Delia De Bruyn, P.J. Nico Dilley, Ben J. Kirkman, Stephen P. Makhado, Azwianewi B. Ryan, Peter G. Schoombie, Stefan Stevens, Kim Sumner, Michael D. Tosh, Cheryl A. Wege, Mia Whitehead, Thomas Otto Wotherspoon, Simon Pistorius, Pierre Anton |
author_facet |
Reisinger, Ryan Rudolf Raymond, Ben Hindell, Mark A. Bester, Marthan Nieuwoudt Crawford, Robert J.M. Davies, Delia De Bruyn, P.J. Nico Dilley, Ben J. Kirkman, Stephen P. Makhado, Azwianewi B. Ryan, Peter G. Schoombie, Stefan Stevens, Kim Sumner, Michael D. Tosh, Cheryl A. Wege, Mia Whitehead, Thomas Otto Wotherspoon, Simon Pistorius, Pierre Anton |
author_sort |
Reisinger, Ryan Rudolf |
title |
Habitat modelling of tracking data from multiple marine predators identifies important areas in the Southern Indian Ocean |
title_short |
Habitat modelling of tracking data from multiple marine predators identifies important areas in the Southern Indian Ocean |
title_full |
Habitat modelling of tracking data from multiple marine predators identifies important areas in the Southern Indian Ocean |
title_fullStr |
Habitat modelling of tracking data from multiple marine predators identifies important areas in the Southern Indian Ocean |
title_full_unstemmed |
Habitat modelling of tracking data from multiple marine predators identifies important areas in the Southern Indian Ocean |
title_sort |
habitat modelling of tracking data from multiple marine predators identifies important areas in the southern indian ocean |
publisher |
Wiley |
publishDate |
2018 |
url |
http://hdl.handle.net/2263/68962 https://doi.org/10.1111/ddi.12702 |
geographic |
Antarctic Southern Ocean Indian |
geographic_facet |
Antarctic Southern Ocean Indian |
genre |
Antarc* Antarctic Prince Edward Islands Southern Ocean |
genre_facet |
Antarc* Antarctic Prince Edward Islands Southern Ocean |
op_relation |
http://hdl.handle.net/2263/68962 Reisinger RR, Raymond B, Hindell MA, et al. Habitat modelling of tracking data from multiple marine predators identifies important areas in the Southern Indian Ocean. Diversity and Distributions 2018;24:535–550. https://doi.org/10.1111/ddi.12702. 1366-9516 (print) 1472-4642 (online) doi:10.1111/ddi.12702 |
op_rights |
© 2018 John Wiley & Sons Ltd. This is the pre-peer reviewed version of the following article : Habitat modelling of tracking data from multiple marine predators identifies important areas in the Southern Indian Ocean. Diversity and Distributions 2018;24:535–550. https://doi.org/10.1111/ddi.12702. The definite version is available at : http://wileyonlinelibrary.com/journal/ddi. |
op_doi |
https://doi.org/10.1111/ddi.12702 |
container_title |
Diversity and Distributions |
container_volume |
24 |
container_issue |
4 |
container_start_page |
535 |
op_container_end_page |
550 |
_version_ |
1766249169406656512 |