Data_Sheet_2_Predicting Cetacean Distributions in the Eastern North Atlantic to Support Marine Management.pdf

Data on species occurrence at the scale of their distributional range and the determination of their habitat use requirements are essential to support conservation and define management plans that account for their habitat requirements. For wide-ranging species, such as cetaceans, especially conside...

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Bibliographic Details
Main Authors: Ana M. Correia (7335549), Diana Sousa-Guedes (10821414), Ágatha Gil (7335556), Raul Valente (7335553), Massimiliano Rosso (7335559), Isabel Sousa-Pinto (540128), Neftalí Sillero (229005), Graham J. Pierce (7335561)
Format: Dataset
Language:unknown
Published: 2021
Subjects:
GAM
Gam
Online Access:https://doi.org/10.3389/fmars.2021.643569.s002
id ftsmithonian:oai:figshare.com:article/14616012
record_format openpolar
spelling ftsmithonian:oai:figshare.com:article/14616012 2023-05-15T17:36:50+02:00 Data_Sheet_2_Predicting Cetacean Distributions in the Eastern North Atlantic to Support Marine Management.pdf Ana M. Correia (7335549) Diana Sousa-Guedes (10821414) Ágatha Gil (7335556) Raul Valente (7335553) Massimiliano Rosso (7335559) Isabel Sousa-Pinto (540128) Neftalí Sillero (229005) Graham J. Pierce (7335561) 2021-05-19T04:41:51Z https://doi.org/10.3389/fmars.2021.643569.s002 unknown https://figshare.com/articles/dataset/Data_Sheet_2_Predicting_Cetacean_Distributions_in_the_Eastern_North_Atlantic_to_Support_Marine_Management_pdf/14616012 doi:10.3389/fmars.2021.643569.s002 CC BY 4.0 CC-BY Oceanography Marine Biology Marine Geoscience Biological Oceanography Chemical Oceanography Physical Oceanography Marine Engineering ecological niche modelling GAM Maxent basin-scale modelling habitat preferences suitable habitats Dataset 2021 ftsmithonian https://doi.org/10.3389/fmars.2021.643569.s002 2021-05-21T14:32:35Z Data on species occurrence at the scale of their distributional range and the determination of their habitat use requirements are essential to support conservation and define management plans that account for their habitat requirements. For wide-ranging species, such as cetaceans, especially considering that their marine habitats include offshore areas, collection of such data is challenging. In the absence of dedicated surveys, alternative methodologies are needed, such as the use of data collected from platforms of opportunity and modelling techniques to predict distribution in unsurveyed areas. Using 6 years of cetacean occurrence data collected along cargo ship routes between the Iberian Peninsula, northwestern African coasts and the Macaronesian islands, we developed ecological niche models to assess habitat preferences and predict suitable habitats of the eight most frequently sighted cetacean taxa in the area. Explanatory variables used for model fitting included topographic, oceanographic, detectability, geographic and seasonal features. To provide a robust habitat characterisation, along with predictions of habitat suitability, making best use of occurrence datasets, we applied two modelling techniques, GAM and Maxent, which offer complementary strengths. Coastal areas provide important habitats for common and bottlenose dophins, while other dolphin species (spotted and striped dolphins) have a more oceanic distribution. The predicted niches of Cuvier’s beaked whale and minke whales are mainly in the high seas at northern latitudes. Suitable habitats for sperm whales and pilot whales are mostly in southern areas in continental slope regions. For all the species, models indicated that areas around seamount features offer suitable habitats, likely of high relevance in oligotrophic offshore waters. As such, dedicated survey effort in such areas would facilitate development and implementation of appropriate management plans, which are currently lacking. Our models offer an important contribution to baseline knowledge of cetacean distribution at basin-scale in the region and could support the definition of priority areas, monitoring plans, and conservation measures, essential to comply with the requirements of the EU Marine Strategy Framework Directive. Dataset North Atlantic Unknown Gam ENVELOPE(-57.955,-57.955,-61.923,-61.923)
institution Open Polar
collection Unknown
op_collection_id ftsmithonian
language unknown
topic Oceanography
Marine Biology
Marine Geoscience
Biological Oceanography
Chemical Oceanography
Physical Oceanography
Marine Engineering
ecological niche modelling
GAM
Maxent
basin-scale modelling
habitat preferences
suitable habitats
spellingShingle Oceanography
Marine Biology
Marine Geoscience
Biological Oceanography
Chemical Oceanography
Physical Oceanography
Marine Engineering
ecological niche modelling
GAM
Maxent
basin-scale modelling
habitat preferences
suitable habitats
Ana M. Correia (7335549)
Diana Sousa-Guedes (10821414)
Ágatha Gil (7335556)
Raul Valente (7335553)
Massimiliano Rosso (7335559)
Isabel Sousa-Pinto (540128)
Neftalí Sillero (229005)
Graham J. Pierce (7335561)
Data_Sheet_2_Predicting Cetacean Distributions in the Eastern North Atlantic to Support Marine Management.pdf
topic_facet Oceanography
Marine Biology
Marine Geoscience
Biological Oceanography
Chemical Oceanography
Physical Oceanography
Marine Engineering
ecological niche modelling
GAM
Maxent
basin-scale modelling
habitat preferences
suitable habitats
description Data on species occurrence at the scale of their distributional range and the determination of their habitat use requirements are essential to support conservation and define management plans that account for their habitat requirements. For wide-ranging species, such as cetaceans, especially considering that their marine habitats include offshore areas, collection of such data is challenging. In the absence of dedicated surveys, alternative methodologies are needed, such as the use of data collected from platforms of opportunity and modelling techniques to predict distribution in unsurveyed areas. Using 6 years of cetacean occurrence data collected along cargo ship routes between the Iberian Peninsula, northwestern African coasts and the Macaronesian islands, we developed ecological niche models to assess habitat preferences and predict suitable habitats of the eight most frequently sighted cetacean taxa in the area. Explanatory variables used for model fitting included topographic, oceanographic, detectability, geographic and seasonal features. To provide a robust habitat characterisation, along with predictions of habitat suitability, making best use of occurrence datasets, we applied two modelling techniques, GAM and Maxent, which offer complementary strengths. Coastal areas provide important habitats for common and bottlenose dophins, while other dolphin species (spotted and striped dolphins) have a more oceanic distribution. The predicted niches of Cuvier’s beaked whale and minke whales are mainly in the high seas at northern latitudes. Suitable habitats for sperm whales and pilot whales are mostly in southern areas in continental slope regions. For all the species, models indicated that areas around seamount features offer suitable habitats, likely of high relevance in oligotrophic offshore waters. As such, dedicated survey effort in such areas would facilitate development and implementation of appropriate management plans, which are currently lacking. Our models offer an important contribution to baseline knowledge of cetacean distribution at basin-scale in the region and could support the definition of priority areas, monitoring plans, and conservation measures, essential to comply with the requirements of the EU Marine Strategy Framework Directive.
format Dataset
author Ana M. Correia (7335549)
Diana Sousa-Guedes (10821414)
Ágatha Gil (7335556)
Raul Valente (7335553)
Massimiliano Rosso (7335559)
Isabel Sousa-Pinto (540128)
Neftalí Sillero (229005)
Graham J. Pierce (7335561)
author_facet Ana M. Correia (7335549)
Diana Sousa-Guedes (10821414)
Ágatha Gil (7335556)
Raul Valente (7335553)
Massimiliano Rosso (7335559)
Isabel Sousa-Pinto (540128)
Neftalí Sillero (229005)
Graham J. Pierce (7335561)
author_sort Ana M. Correia (7335549)
title Data_Sheet_2_Predicting Cetacean Distributions in the Eastern North Atlantic to Support Marine Management.pdf
title_short Data_Sheet_2_Predicting Cetacean Distributions in the Eastern North Atlantic to Support Marine Management.pdf
title_full Data_Sheet_2_Predicting Cetacean Distributions in the Eastern North Atlantic to Support Marine Management.pdf
title_fullStr Data_Sheet_2_Predicting Cetacean Distributions in the Eastern North Atlantic to Support Marine Management.pdf
title_full_unstemmed Data_Sheet_2_Predicting Cetacean Distributions in the Eastern North Atlantic to Support Marine Management.pdf
title_sort data_sheet_2_predicting cetacean distributions in the eastern north atlantic to support marine management.pdf
publishDate 2021
url https://doi.org/10.3389/fmars.2021.643569.s002
long_lat ENVELOPE(-57.955,-57.955,-61.923,-61.923)
geographic Gam
geographic_facet Gam
genre North Atlantic
genre_facet North Atlantic
op_relation https://figshare.com/articles/dataset/Data_Sheet_2_Predicting_Cetacean_Distributions_in_the_Eastern_North_Atlantic_to_Support_Marine_Management_pdf/14616012
doi:10.3389/fmars.2021.643569.s002
op_rights CC BY 4.0
op_rightsnorm CC-BY
op_doi https://doi.org/10.3389/fmars.2021.643569.s002
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