Static species distribution models in the marine realm: The case of baleen whales in the Southern Ocean
Abstract Aim Information on the spatio‐temporal distribution of marine species is essential for developing proactive management strategies. However, sufficient information is seldom available at large spatial scales, particularly in polar areas. The Southern Ocean (SO) represents a critical habitat...
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crwiley:10.1111/ddi.13300 2024-09-15T17:46:44+00:00 Static species distribution models in the marine realm: The case of baleen whales in the Southern Ocean El‐Gabbas, Ahmed Van Opzeeland, Ilse Burkhardt, Elke Boebel, Olaf Real, Raimundo Bundesministerium für Ernährung und Landwirtschaft 2021 http://dx.doi.org/10.1111/ddi.13300 https://onlinelibrary.wiley.com/doi/pdf/10.1111/ddi.13300 https://onlinelibrary.wiley.com/doi/full-xml/10.1111/ddi.13300 en eng Wiley http://creativecommons.org/licenses/by/4.0/ Diversity and Distributions volume 27, issue 8, page 1536-1552 ISSN 1366-9516 1472-4642 journal-article 2021 crwiley https://doi.org/10.1111/ddi.13300 2024-08-27T04:25:12Z Abstract Aim Information on the spatio‐temporal distribution of marine species is essential for developing proactive management strategies. However, sufficient information is seldom available at large spatial scales, particularly in polar areas. The Southern Ocean (SO) represents a critical habitat for various species, particularly migratory baleen whales. Still, the SO’s remoteness and sea ice coverage disallow obtaining sufficient information on baleen whale distribution and niche preference. Here, we used presence‐only species distribution models to predict the circumantarctic habitat suitability of baleen whales and identify important predictors affecting their distribution. Location The Southern Ocean (SO). Methods We used Maxent to model habitat suitability for Antarctic minke, Antarctic blue, fin and humpback whales. Our models employ extensive circumantarctic data and carefully prepared predictors describing the SO’s environment and two spatial sampling bias correction options. Species‐specific spatial‐block cross‐validation was used to optimize model complexity and for spatially independent model evaluation. Results Model performance was high on cross‐validation, with generally little predicted uncertainty. The most important predictors were derived from sea ice, particularly seasonal mean and variability of sea ice concentration and distance to the sea ice edge. Main conclusions Our models support the usefulness of presence‐only models as a cost‐effective tool in the marine realm, particularly for studying the migratory whales’ distribution. However, we found discrepancies between our results and (within) results of similar studies, mainly due to using different species data quality and quantity, different study area extent and methodological reasons. We further highlight the limitations of implementing static distribution models in the highly dynamic marine realm. Dynamic models, which relate species information to environmental conditions contemporaneous to species occurrences, can predict ... Article in Journal/Newspaper Antarc* Antarctic baleen whale baleen whales Sea ice Southern Ocean Wiley Online Library Diversity and Distributions |
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English |
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Abstract Aim Information on the spatio‐temporal distribution of marine species is essential for developing proactive management strategies. However, sufficient information is seldom available at large spatial scales, particularly in polar areas. The Southern Ocean (SO) represents a critical habitat for various species, particularly migratory baleen whales. Still, the SO’s remoteness and sea ice coverage disallow obtaining sufficient information on baleen whale distribution and niche preference. Here, we used presence‐only species distribution models to predict the circumantarctic habitat suitability of baleen whales and identify important predictors affecting their distribution. Location The Southern Ocean (SO). Methods We used Maxent to model habitat suitability for Antarctic minke, Antarctic blue, fin and humpback whales. Our models employ extensive circumantarctic data and carefully prepared predictors describing the SO’s environment and two spatial sampling bias correction options. Species‐specific spatial‐block cross‐validation was used to optimize model complexity and for spatially independent model evaluation. Results Model performance was high on cross‐validation, with generally little predicted uncertainty. The most important predictors were derived from sea ice, particularly seasonal mean and variability of sea ice concentration and distance to the sea ice edge. Main conclusions Our models support the usefulness of presence‐only models as a cost‐effective tool in the marine realm, particularly for studying the migratory whales’ distribution. However, we found discrepancies between our results and (within) results of similar studies, mainly due to using different species data quality and quantity, different study area extent and methodological reasons. We further highlight the limitations of implementing static distribution models in the highly dynamic marine realm. Dynamic models, which relate species information to environmental conditions contemporaneous to species occurrences, can predict ... |
author2 |
Real, Raimundo Bundesministerium für Ernährung und Landwirtschaft |
format |
Article in Journal/Newspaper |
author |
El‐Gabbas, Ahmed Van Opzeeland, Ilse Burkhardt, Elke Boebel, Olaf |
spellingShingle |
El‐Gabbas, Ahmed Van Opzeeland, Ilse Burkhardt, Elke Boebel, Olaf Static species distribution models in the marine realm: The case of baleen whales in the Southern Ocean |
author_facet |
El‐Gabbas, Ahmed Van Opzeeland, Ilse Burkhardt, Elke Boebel, Olaf |
author_sort |
El‐Gabbas, Ahmed |
title |
Static species distribution models in the marine realm: The case of baleen whales in the Southern Ocean |
title_short |
Static species distribution models in the marine realm: The case of baleen whales in the Southern Ocean |
title_full |
Static species distribution models in the marine realm: The case of baleen whales in the Southern Ocean |
title_fullStr |
Static species distribution models in the marine realm: The case of baleen whales in the Southern Ocean |
title_full_unstemmed |
Static species distribution models in the marine realm: The case of baleen whales in the Southern Ocean |
title_sort |
static species distribution models in the marine realm: the case of baleen whales in the southern ocean |
publisher |
Wiley |
publishDate |
2021 |
url |
http://dx.doi.org/10.1111/ddi.13300 https://onlinelibrary.wiley.com/doi/pdf/10.1111/ddi.13300 https://onlinelibrary.wiley.com/doi/full-xml/10.1111/ddi.13300 |
genre |
Antarc* Antarctic baleen whale baleen whales Sea ice Southern Ocean |
genre_facet |
Antarc* Antarctic baleen whale baleen whales Sea ice Southern Ocean |
op_source |
Diversity and Distributions volume 27, issue 8, page 1536-1552 ISSN 1366-9516 1472-4642 |
op_rights |
http://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.1111/ddi.13300 |
container_title |
Diversity and Distributions |
_version_ |
1810495079840743424 |