Dynamic species distribution models of Antarctic blue whales in the Weddell Sea using visual sighting and passive acoustic monitoring data
Aim: Species distribution models (SDMs) are essential tools in ecology and conservation. However, the scarcity of visual sightings of marine mammals in remote polar areas hinders the effective application of SDMs there. Passive acoustic monitoring (PAM) data provide year-round information and overco...
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2024
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Online Access: | https://epic.awi.de/id/eprint/58350/ https://doi.org/10.1111/ddi.13790 https://hdl.handle.net/10013/epic.3bd36520-51a2-48b3-9622-46bd1be3ba1c |
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ftawi:oai:epic.awi.de:58350 2024-03-24T08:57:46+00:00 Dynamic species distribution models of Antarctic blue whales in the Weddell Sea using visual sighting and passive acoustic monitoring data El‐Gabbas, Ahmed Thomisch, Karolin Van Opzeeland, Ilse Burkhardt, Elke Boebel, Olaf 2024-01 https://epic.awi.de/id/eprint/58350/ https://doi.org/10.1111/ddi.13790 https://hdl.handle.net/10013/epic.3bd36520-51a2-48b3-9622-46bd1be3ba1c unknown Wiley El‐Gabbas, A. , Thomisch, K. orcid:0000-0002-7144-8369 , Van Opzeeland, I. , Burkhardt, E. orcid:0000-0002-5128-4176 and Boebel, O. orcid:0000-0002-2259-0035 (2024) Dynamic species distribution models of Antarctic blue whales in the Weddell Sea using visual sighting and passive acoustic monitoring data , Diversity and Distributions, 30 (1), pp. 87-105 . doi:10.1111/ddi.13790 <https://doi.org/10.1111/ddi.13790> , hdl:10013/epic.3bd36520-51a2-48b3-9622-46bd1be3ba1c EPIC3Diversity and Distributions, Wiley, 30(1), pp. 87-105, ISSN: 1366-9516 Article peerRev 2024 ftawi https://doi.org/10.1111/ddi.13790 2024-02-27T09:55:26Z Aim: Species distribution models (SDMs) are essential tools in ecology and conservation. However, the scarcity of visual sightings of marine mammals in remote polar areas hinders the effective application of SDMs there. Passive acoustic monitoring (PAM) data provide year-round information and overcome foul weather limitations faced by visual surveys. However, the use of PAM data in SDMs has been sparse so far. Here, we use PAM-based SDMs to investigate the spatiotemporal distribution of the critically endangered Antarctic blue whale in the Weddell Sea. Location: The Weddell Sea. Methods: We used presence-only dynamic SDMs employing visual sightings and PAM detections in independent models. We compared the two independent models with a third combined model that integrated both visual and PAM data, aiming at leveraging the advantages of each data type: the extensive spatial extent of visual data and the broader temporal/environmental range of PAM data. Results: Visual and PAM data prove complementary, as indicated by a low spatial overlap between daily predictions and the low predictability of each model at detections of other data types. Combined data models reproduced suitable habitats as given by both independent models. Visual data models indicate areas close to the sea ice edge (SIE) and with low-to-moderate sea ice concentrations (SIC) as suitable, while PAM data models identified suitable habitats at a broader range of distances to SIE and relatively higher SIC. Main Conclusions: The results demonstrate the potential of PAM data to predict year-round marine mammal habitat suitability at large spatial scales. We provide reasons for discrepancies between SDMs based on either data type and give methodological recommendations on using PAM data in SDMs. Combining visual and PAM data in future SDMs is promising for studying vocalized animals, particularly when using recent advances in integrated distribution modelling methods. Article in Journal/Newspaper Antarc* Antarctic Blue whale Sea ice Weddell Sea Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center) Antarctic Weddell Weddell Sea Diversity and Distributions 30 1 87 105 |
institution |
Open Polar |
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Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center) |
op_collection_id |
ftawi |
language |
unknown |
description |
Aim: Species distribution models (SDMs) are essential tools in ecology and conservation. However, the scarcity of visual sightings of marine mammals in remote polar areas hinders the effective application of SDMs there. Passive acoustic monitoring (PAM) data provide year-round information and overcome foul weather limitations faced by visual surveys. However, the use of PAM data in SDMs has been sparse so far. Here, we use PAM-based SDMs to investigate the spatiotemporal distribution of the critically endangered Antarctic blue whale in the Weddell Sea. Location: The Weddell Sea. Methods: We used presence-only dynamic SDMs employing visual sightings and PAM detections in independent models. We compared the two independent models with a third combined model that integrated both visual and PAM data, aiming at leveraging the advantages of each data type: the extensive spatial extent of visual data and the broader temporal/environmental range of PAM data. Results: Visual and PAM data prove complementary, as indicated by a low spatial overlap between daily predictions and the low predictability of each model at detections of other data types. Combined data models reproduced suitable habitats as given by both independent models. Visual data models indicate areas close to the sea ice edge (SIE) and with low-to-moderate sea ice concentrations (SIC) as suitable, while PAM data models identified suitable habitats at a broader range of distances to SIE and relatively higher SIC. Main Conclusions: The results demonstrate the potential of PAM data to predict year-round marine mammal habitat suitability at large spatial scales. We provide reasons for discrepancies between SDMs based on either data type and give methodological recommendations on using PAM data in SDMs. Combining visual and PAM data in future SDMs is promising for studying vocalized animals, particularly when using recent advances in integrated distribution modelling methods. |
format |
Article in Journal/Newspaper |
author |
El‐Gabbas, Ahmed Thomisch, Karolin Van Opzeeland, Ilse Burkhardt, Elke Boebel, Olaf |
spellingShingle |
El‐Gabbas, Ahmed Thomisch, Karolin Van Opzeeland, Ilse Burkhardt, Elke Boebel, Olaf Dynamic species distribution models of Antarctic blue whales in the Weddell Sea using visual sighting and passive acoustic monitoring data |
author_facet |
El‐Gabbas, Ahmed Thomisch, Karolin Van Opzeeland, Ilse Burkhardt, Elke Boebel, Olaf |
author_sort |
El‐Gabbas, Ahmed |
title |
Dynamic species distribution models of Antarctic blue whales in the Weddell Sea using visual sighting and passive acoustic monitoring data |
title_short |
Dynamic species distribution models of Antarctic blue whales in the Weddell Sea using visual sighting and passive acoustic monitoring data |
title_full |
Dynamic species distribution models of Antarctic blue whales in the Weddell Sea using visual sighting and passive acoustic monitoring data |
title_fullStr |
Dynamic species distribution models of Antarctic blue whales in the Weddell Sea using visual sighting and passive acoustic monitoring data |
title_full_unstemmed |
Dynamic species distribution models of Antarctic blue whales in the Weddell Sea using visual sighting and passive acoustic monitoring data |
title_sort |
dynamic species distribution models of antarctic blue whales in the weddell sea using visual sighting and passive acoustic monitoring data |
publisher |
Wiley |
publishDate |
2024 |
url |
https://epic.awi.de/id/eprint/58350/ https://doi.org/10.1111/ddi.13790 https://hdl.handle.net/10013/epic.3bd36520-51a2-48b3-9622-46bd1be3ba1c |
geographic |
Antarctic Weddell Weddell Sea |
geographic_facet |
Antarctic Weddell Weddell Sea |
genre |
Antarc* Antarctic Blue whale Sea ice Weddell Sea |
genre_facet |
Antarc* Antarctic Blue whale Sea ice Weddell Sea |
op_source |
EPIC3Diversity and Distributions, Wiley, 30(1), pp. 87-105, ISSN: 1366-9516 |
op_relation |
El‐Gabbas, A. , Thomisch, K. orcid:0000-0002-7144-8369 , Van Opzeeland, I. , Burkhardt, E. orcid:0000-0002-5128-4176 and Boebel, O. orcid:0000-0002-2259-0035 (2024) Dynamic species distribution models of Antarctic blue whales in the Weddell Sea using visual sighting and passive acoustic monitoring data , Diversity and Distributions, 30 (1), pp. 87-105 . doi:10.1111/ddi.13790 <https://doi.org/10.1111/ddi.13790> , hdl:10013/epic.3bd36520-51a2-48b3-9622-46bd1be3ba1c |
op_doi |
https://doi.org/10.1111/ddi.13790 |
container_title |
Diversity and Distributions |
container_volume |
30 |
container_issue |
1 |
container_start_page |
87 |
op_container_end_page |
105 |
_version_ |
1794408139542495232 |