Year-round habitat suitability of humpback whales (Megaptera novaeangliae) in the Southern Ocean ...

The dataset presents maps for the year-round habitat suitability of the humpback whales (Megaptera novaeangliae) in the Southern Ocean. These maps represent predictions from dynamic species distribution models using MaxEnt software. In these models, species visual observations were spatiotemporally...

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Bibliographic Details
Main Authors: El-Gabbas, Ahmed, Van Opzeeland, Ilse, Burkhardt, Elke, Boebel, Olaf
Format: Dataset
Language:English
Published: PANGAEA 2022
Subjects:
Online Access:https://dx.doi.org/10.1594/pangaea.946774
https://doi.pangaea.de/10.1594/PANGAEA.946774
id ftdatacite:10.1594/pangaea.946774
record_format openpolar
spelling ftdatacite:10.1594/pangaea.946774 2024-06-09T07:40:04+00:00 Year-round habitat suitability of humpback whales (Megaptera novaeangliae) in the Southern Ocean ... El-Gabbas, Ahmed Van Opzeeland, Ilse Burkhardt, Elke Boebel, Olaf 2022 text/tab-separated-values https://dx.doi.org/10.1594/pangaea.946774 https://doi.pangaea.de/10.1594/PANGAEA.946774 en eng PANGAEA https://dx.doi.org/10.3389/fmars.2021.802276 https://dx.doi.org/10.1594/pangaea.946772 https://dx.doi.org/10.1594/pangaea.946769 https://dx.doi.org/10.1594/pangaea.946773 https://dx.doi.org/10.1111/ddi.13300 https://dx.doi.org/10.6084/m9.figshare.16611556.v1 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 Antarctic baleen whales habitat suitability habitat suitability modelling humpback whales Maxent Megaptera novaeangliae Southern Ocean species distribution models Binary Object Dataset dataset 2022 ftdatacite https://doi.org/10.1594/pangaea.94677410.3389/fmars.2021.80227610.1594/pangaea.94677210.1594/pangaea.94676910.1594/pangaea.94677310.1111/ddi.1330010.6084/m9.figshare.16611556.v1 2024-05-13T12:44:57Z The dataset presents maps for the year-round habitat suitability of the humpback whales (Megaptera novaeangliae) in the Southern Ocean. These maps represent predictions from dynamic species distribution models using MaxEnt software. In these models, species visual observations were spatiotemporally matched with contemporaneous environmental conditions, predicting habitat suitability both in time and space. Models were evaluated on spatial- and temporal-block cross-validation, attempting to correct for spatial sampling bias. More details on the models and methods implemented are given in El-Gabbas et al. 2021 (doi:10.3389/fmars.2021.802276). The dataset provides maps for the mean daily, weekly, and monthly habitat suitability between June 2002 and December 2019. Further, we also provide maps that summarize long-term daily habitat suitability into monthly maps. ... Dataset Antarc* Antarctic baleen whales Megaptera novaeangliae Southern Ocean DataCite Metadata Store (German National Library of Science and Technology) Antarctic Southern Ocean
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language English
topic Antarctic
baleen whales
habitat suitability
habitat suitability modelling
humpback whales
Maxent
Megaptera novaeangliae
Southern Ocean
species distribution models
Binary Object
spellingShingle Antarctic
baleen whales
habitat suitability
habitat suitability modelling
humpback whales
Maxent
Megaptera novaeangliae
Southern Ocean
species distribution models
Binary Object
El-Gabbas, Ahmed
Van Opzeeland, Ilse
Burkhardt, Elke
Boebel, Olaf
Year-round habitat suitability of humpback whales (Megaptera novaeangliae) in the Southern Ocean ...
topic_facet Antarctic
baleen whales
habitat suitability
habitat suitability modelling
humpback whales
Maxent
Megaptera novaeangliae
Southern Ocean
species distribution models
Binary Object
description The dataset presents maps for the year-round habitat suitability of the humpback whales (Megaptera novaeangliae) in the Southern Ocean. These maps represent predictions from dynamic species distribution models using MaxEnt software. In these models, species visual observations were spatiotemporally matched with contemporaneous environmental conditions, predicting habitat suitability both in time and space. Models were evaluated on spatial- and temporal-block cross-validation, attempting to correct for spatial sampling bias. More details on the models and methods implemented are given in El-Gabbas et al. 2021 (doi:10.3389/fmars.2021.802276). The dataset provides maps for the mean daily, weekly, and monthly habitat suitability between June 2002 and December 2019. Further, we also provide maps that summarize long-term daily habitat suitability into monthly maps. ...
format Dataset
author El-Gabbas, Ahmed
Van Opzeeland, Ilse
Burkhardt, Elke
Boebel, Olaf
author_facet El-Gabbas, Ahmed
Van Opzeeland, Ilse
Burkhardt, Elke
Boebel, Olaf
author_sort El-Gabbas, Ahmed
title Year-round habitat suitability of humpback whales (Megaptera novaeangliae) in the Southern Ocean ...
title_short Year-round habitat suitability of humpback whales (Megaptera novaeangliae) in the Southern Ocean ...
title_full Year-round habitat suitability of humpback whales (Megaptera novaeangliae) in the Southern Ocean ...
title_fullStr Year-round habitat suitability of humpback whales (Megaptera novaeangliae) in the Southern Ocean ...
title_full_unstemmed Year-round habitat suitability of humpback whales (Megaptera novaeangliae) in the Southern Ocean ...
title_sort year-round habitat suitability of humpback whales (megaptera novaeangliae) in the southern ocean ...
publisher PANGAEA
publishDate 2022
url https://dx.doi.org/10.1594/pangaea.946774
https://doi.pangaea.de/10.1594/PANGAEA.946774
geographic Antarctic
Southern Ocean
geographic_facet Antarctic
Southern Ocean
genre Antarc*
Antarctic
baleen whales
Megaptera novaeangliae
Southern Ocean
genre_facet Antarc*
Antarctic
baleen whales
Megaptera novaeangliae
Southern Ocean
op_relation https://dx.doi.org/10.3389/fmars.2021.802276
https://dx.doi.org/10.1594/pangaea.946772
https://dx.doi.org/10.1594/pangaea.946769
https://dx.doi.org/10.1594/pangaea.946773
https://dx.doi.org/10.1111/ddi.13300
https://dx.doi.org/10.6084/m9.figshare.16611556.v1
op_rights Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
cc-by-4.0
op_doi https://doi.org/10.1594/pangaea.94677410.3389/fmars.2021.80227610.1594/pangaea.94677210.1594/pangaea.94676910.1594/pangaea.94677310.1111/ddi.1330010.6084/m9.figshare.16611556.v1
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