Data_Sheet_1_The Role of Climate, Oceanography, and Prey in Driving Decadal Spatio-Temporal Patterns of a Highly Mobile Top Predator.docx

Marine mammals have been proposed as ecosystem sentinels due to their conspicuous nature, wide ranging distribution, and capacity to respond to changes in ecosystem structure and functioning. In southern European Atlantic waters, their response to climate variability has been little explored, partly...

Full description

Bibliographic Details
Main Authors: Amaia Astarloa, Maite Louzao, Joana Andrade, Lucy Babey, Simon Berrow, Oliver Boisseau, Tom Brereton, Ghislain Dorémus, Peter G. H. Evans, Nicola K. Hodgins, Mark Lewis, Jose Martinez-Cedeira, Malin L. Pinsky, Vincent Ridoux, Camilo Saavedra, M. Begoña Santos, James T. Thorson, James J. Waggitt, Dave Wall, Guillem Chust
Format: Dataset
Language:unknown
Published: 2021
Subjects:
Online Access:https://doi.org/10.3389/fmars.2021.665474.s001
https://figshare.com/articles/dataset/Data_Sheet_1_The_Role_of_Climate_Oceanography_and_Prey_in_Driving_Decadal_Spatio-Temporal_Patterns_of_a_Highly_Mobile_Top_Predator_docx/17036669
id ftfrontimediafig:oai:figshare.com:article/17036669
record_format openpolar
spelling ftfrontimediafig:oai:figshare.com:article/17036669 2023-05-15T17:36:48+02:00 Data_Sheet_1_The Role of Climate, Oceanography, and Prey in Driving Decadal Spatio-Temporal Patterns of a Highly Mobile Top Predator.docx Amaia Astarloa Maite Louzao Joana Andrade Lucy Babey Simon Berrow Oliver Boisseau Tom Brereton Ghislain Dorémus Peter G. H. Evans Nicola K. Hodgins Mark Lewis Jose Martinez-Cedeira Malin L. Pinsky Vincent Ridoux Camilo Saavedra M. Begoña Santos James T. Thorson James J. Waggitt Dave Wall Guillem Chust 2021-11-18T04:13:36Z https://doi.org/10.3389/fmars.2021.665474.s001 https://figshare.com/articles/dataset/Data_Sheet_1_The_Role_of_Climate_Oceanography_and_Prey_in_Driving_Decadal_Spatio-Temporal_Patterns_of_a_Highly_Mobile_Top_Predator_docx/17036669 unknown doi:10.3389/fmars.2021.665474.s001 https://figshare.com/articles/dataset/Data_Sheet_1_The_Role_of_Climate_Oceanography_and_Prey_in_Driving_Decadal_Spatio-Temporal_Patterns_of_a_Highly_Mobile_Top_Predator_docx/17036669 CC BY 4.0 CC-BY Oceanography Marine Biology Marine Geoscience Biological Oceanography Chemical Oceanography Physical Oceanography Marine Engineering common dolphin center of gravity climate indices predator-prey environmental variability time series Bay of Biscay VAST Dataset 2021 ftfrontimediafig https://doi.org/10.3389/fmars.2021.665474.s001 2021-11-25T00:05:20Z Marine mammals have been proposed as ecosystem sentinels due to their conspicuous nature, wide ranging distribution, and capacity to respond to changes in ecosystem structure and functioning. In southern European Atlantic waters, their response to climate variability has been little explored, partly because of the inherent difficulty of investigating higher trophic levels and long lifespan animals. Here, we analyzed spatio-temporal patterns from 1994 to 2018 of one of the most abundant cetaceans in the area, the common dolphin (Delphinus delphis), in order to (1) explore changes in its abundance and distribution, and (2) identify the underlying drivers. For that, we estimated the density of the species and the center of gravity of its distribution in the Bay of Biscay (BoB) and tested the effect of three sets of potential drivers (climate indices, oceanographic conditions, and prey biomasses) with a Vector Autoregressive Spatio Temporal (VAST) model that accounts for changes in sampling effort resulting from the combination of multiple datasets. Our results showed that the common dolphin significantly increased in abundance in the BoB during the study period. These changes were best explained by climate indices such as the North Atlantic Oscillation (NAO) and by prey species biomass. Oceanographic variables such as chlorophyll a concentration and temperature were less useful or not related. In addition, we found high variability in the geographic center of gravity of the species within the study region, with shifts between the inner (southeast) and the outer (northwest) part of the BoB, although the majority of this variability could not be attributed to the drivers considered in the study. Overall, these findings indicate that considering temperature alone for projecting spatio-temporal patterns of highly mobile predators is insufficient in this region and suggest important influences from prey and climate indices that integrate multiple ecological influences. Further integration of existing observational ... Dataset North Atlantic North Atlantic oscillation Frontiers: Figshare
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
common dolphin
center of gravity
climate indices
predator-prey
environmental variability
time series
Bay of Biscay
VAST
spellingShingle Oceanography
Marine Biology
Marine Geoscience
Biological Oceanography
Chemical Oceanography
Physical Oceanography
Marine Engineering
common dolphin
center of gravity
climate indices
predator-prey
environmental variability
time series
Bay of Biscay
VAST
Amaia Astarloa
Maite Louzao
Joana Andrade
Lucy Babey
Simon Berrow
Oliver Boisseau
Tom Brereton
Ghislain Dorémus
Peter G. H. Evans
Nicola K. Hodgins
Mark Lewis
Jose Martinez-Cedeira
Malin L. Pinsky
Vincent Ridoux
Camilo Saavedra
M. Begoña Santos
James T. Thorson
James J. Waggitt
Dave Wall
Guillem Chust
Data_Sheet_1_The Role of Climate, Oceanography, and Prey in Driving Decadal Spatio-Temporal Patterns of a Highly Mobile Top Predator.docx
topic_facet Oceanography
Marine Biology
Marine Geoscience
Biological Oceanography
Chemical Oceanography
Physical Oceanography
Marine Engineering
common dolphin
center of gravity
climate indices
predator-prey
environmental variability
time series
Bay of Biscay
VAST
description Marine mammals have been proposed as ecosystem sentinels due to their conspicuous nature, wide ranging distribution, and capacity to respond to changes in ecosystem structure and functioning. In southern European Atlantic waters, their response to climate variability has been little explored, partly because of the inherent difficulty of investigating higher trophic levels and long lifespan animals. Here, we analyzed spatio-temporal patterns from 1994 to 2018 of one of the most abundant cetaceans in the area, the common dolphin (Delphinus delphis), in order to (1) explore changes in its abundance and distribution, and (2) identify the underlying drivers. For that, we estimated the density of the species and the center of gravity of its distribution in the Bay of Biscay (BoB) and tested the effect of three sets of potential drivers (climate indices, oceanographic conditions, and prey biomasses) with a Vector Autoregressive Spatio Temporal (VAST) model that accounts for changes in sampling effort resulting from the combination of multiple datasets. Our results showed that the common dolphin significantly increased in abundance in the BoB during the study period. These changes were best explained by climate indices such as the North Atlantic Oscillation (NAO) and by prey species biomass. Oceanographic variables such as chlorophyll a concentration and temperature were less useful or not related. In addition, we found high variability in the geographic center of gravity of the species within the study region, with shifts between the inner (southeast) and the outer (northwest) part of the BoB, although the majority of this variability could not be attributed to the drivers considered in the study. Overall, these findings indicate that considering temperature alone for projecting spatio-temporal patterns of highly mobile predators is insufficient in this region and suggest important influences from prey and climate indices that integrate multiple ecological influences. Further integration of existing observational ...
format Dataset
author Amaia Astarloa
Maite Louzao
Joana Andrade
Lucy Babey
Simon Berrow
Oliver Boisseau
Tom Brereton
Ghislain Dorémus
Peter G. H. Evans
Nicola K. Hodgins
Mark Lewis
Jose Martinez-Cedeira
Malin L. Pinsky
Vincent Ridoux
Camilo Saavedra
M. Begoña Santos
James T. Thorson
James J. Waggitt
Dave Wall
Guillem Chust
author_facet Amaia Astarloa
Maite Louzao
Joana Andrade
Lucy Babey
Simon Berrow
Oliver Boisseau
Tom Brereton
Ghislain Dorémus
Peter G. H. Evans
Nicola K. Hodgins
Mark Lewis
Jose Martinez-Cedeira
Malin L. Pinsky
Vincent Ridoux
Camilo Saavedra
M. Begoña Santos
James T. Thorson
James J. Waggitt
Dave Wall
Guillem Chust
author_sort Amaia Astarloa
title Data_Sheet_1_The Role of Climate, Oceanography, and Prey in Driving Decadal Spatio-Temporal Patterns of a Highly Mobile Top Predator.docx
title_short Data_Sheet_1_The Role of Climate, Oceanography, and Prey in Driving Decadal Spatio-Temporal Patterns of a Highly Mobile Top Predator.docx
title_full Data_Sheet_1_The Role of Climate, Oceanography, and Prey in Driving Decadal Spatio-Temporal Patterns of a Highly Mobile Top Predator.docx
title_fullStr Data_Sheet_1_The Role of Climate, Oceanography, and Prey in Driving Decadal Spatio-Temporal Patterns of a Highly Mobile Top Predator.docx
title_full_unstemmed Data_Sheet_1_The Role of Climate, Oceanography, and Prey in Driving Decadal Spatio-Temporal Patterns of a Highly Mobile Top Predator.docx
title_sort data_sheet_1_the role of climate, oceanography, and prey in driving decadal spatio-temporal patterns of a highly mobile top predator.docx
publishDate 2021
url https://doi.org/10.3389/fmars.2021.665474.s001
https://figshare.com/articles/dataset/Data_Sheet_1_The_Role_of_Climate_Oceanography_and_Prey_in_Driving_Decadal_Spatio-Temporal_Patterns_of_a_Highly_Mobile_Top_Predator_docx/17036669
genre North Atlantic
North Atlantic oscillation
genre_facet North Atlantic
North Atlantic oscillation
op_relation doi:10.3389/fmars.2021.665474.s001
https://figshare.com/articles/dataset/Data_Sheet_1_The_Role_of_Climate_Oceanography_and_Prey_in_Driving_Decadal_Spatio-Temporal_Patterns_of_a_Highly_Mobile_Top_Predator_docx/17036669
op_rights CC BY 4.0
op_rightsnorm CC-BY
op_doi https://doi.org/10.3389/fmars.2021.665474.s001
_version_ 1766136394242064384