Data_Sheet_1_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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Main Authors: Ana M. Correia, Diana Sousa-Guedes, Ágatha Gil, Raul Valente, Massimiliano Rosso, Isabel Sousa-Pinto, Neftalí Sillero, Graham J. Pierce
Format: Dataset
Language:unknown
Published: 2021
Subjects:
GAM
Gam
Online Access:https://doi.org/10.3389/fmars.2021.643569.s001
https://figshare.com/articles/dataset/Data_Sheet_1_Predicting_Cetacean_Distributions_in_the_Eastern_North_Atlantic_to_Support_Marine_Management_pdf/14616006
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spelling ftfrontimediafig:oai:figshare.com:article/14616006 2023-05-15T17:35:51+02:00 Data_Sheet_1_Predicting Cetacean Distributions in the Eastern North Atlantic to Support Marine Management.pdf Ana M. Correia Diana Sousa-Guedes Ágatha Gil Raul Valente Massimiliano Rosso Isabel Sousa-Pinto Neftalí Sillero Graham J. Pierce 2021-05-19T04:41:50Z https://doi.org/10.3389/fmars.2021.643569.s001 https://figshare.com/articles/dataset/Data_Sheet_1_Predicting_Cetacean_Distributions_in_the_Eastern_North_Atlantic_to_Support_Marine_Management_pdf/14616006 unknown doi:10.3389/fmars.2021.643569.s001 https://figshare.com/articles/dataset/Data_Sheet_1_Predicting_Cetacean_Distributions_in_the_Eastern_North_Atlantic_to_Support_Marine_Management_pdf/14616006 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 ftfrontimediafig https://doi.org/10.3389/fmars.2021.643569.s001 2021-05-19T22:57:59Z 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 ... Dataset North Atlantic Frontiers: Figshare Gam ENVELOPE(-57.955,-57.955,-61.923,-61.923)
institution Open Polar
collection Frontiers: Figshare
op_collection_id ftfrontimediafig
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
Diana Sousa-Guedes
Ágatha Gil
Raul Valente
Massimiliano Rosso
Isabel Sousa-Pinto
Neftalí Sillero
Graham J. Pierce
Data_Sheet_1_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 ...
format Dataset
author Ana M. Correia
Diana Sousa-Guedes
Ágatha Gil
Raul Valente
Massimiliano Rosso
Isabel Sousa-Pinto
Neftalí Sillero
Graham J. Pierce
author_facet Ana M. Correia
Diana Sousa-Guedes
Ágatha Gil
Raul Valente
Massimiliano Rosso
Isabel Sousa-Pinto
Neftalí Sillero
Graham J. Pierce
author_sort Ana M. Correia
title Data_Sheet_1_Predicting Cetacean Distributions in the Eastern North Atlantic to Support Marine Management.pdf
title_short Data_Sheet_1_Predicting Cetacean Distributions in the Eastern North Atlantic to Support Marine Management.pdf
title_full Data_Sheet_1_Predicting Cetacean Distributions in the Eastern North Atlantic to Support Marine Management.pdf
title_fullStr Data_Sheet_1_Predicting Cetacean Distributions in the Eastern North Atlantic to Support Marine Management.pdf
title_full_unstemmed Data_Sheet_1_Predicting Cetacean Distributions in the Eastern North Atlantic to Support Marine Management.pdf
title_sort data_sheet_1_predicting cetacean distributions in the eastern north atlantic to support marine management.pdf
publishDate 2021
url https://doi.org/10.3389/fmars.2021.643569.s001
https://figshare.com/articles/dataset/Data_Sheet_1_Predicting_Cetacean_Distributions_in_the_Eastern_North_Atlantic_to_Support_Marine_Management_pdf/14616006
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 doi:10.3389/fmars.2021.643569.s001
https://figshare.com/articles/dataset/Data_Sheet_1_Predicting_Cetacean_Distributions_in_the_Eastern_North_Atlantic_to_Support_Marine_Management_pdf/14616006
op_rights CC BY 4.0
op_rightsnorm CC-BY
op_doi https://doi.org/10.3389/fmars.2021.643569.s001
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