Predicting global killer whale population collapse from PCB pollution

This research was supported by grants to J.-P.D. from the Canadian National Science and Engineering Research Council (NSERC) (PGSD3-443700-2013) and Aarhus University’s Graduate School and Science and Technology (GSST) and Department of Bioscience; and by funding from the Danish DANCEA program (MST-...

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Published in:Science
Main Authors: Desforges, Jean-Pierre, Hall, Ailsa, McConnell, Bernie, Rosing-Asvid, Aqqalu, Barber, Jonathan L., Brownlow, Andrew, De Guise, Sylvain, Eulaers, Igor, Jepson, Paul D., Letcher, Robert J., Levin, Milton, Ross, Peter S., Samarra, Filipa, Vikingson, Gísli, Sonne, Christian, Dietz, Rune
Other Authors: NERC, University of St Andrews. School of Biology, University of St Andrews. Sea Mammal Research Unit, University of St Andrews. Marine Alliance for Science & Technology Scotland, University of St Andrews. Scottish Oceans Institute
Format: Article in Journal/Newspaper
Language:English
Published: 2018
Subjects:
DAS
BDC
R2C
Online Access:http://hdl.handle.net/10023/16189
https://doi.org/10.1126/science.aat1953
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spelling ftstandrewserep:oai:research-repository.st-andrews.ac.uk:10023/16189 2023-07-02T03:32:50+02:00 Predicting global killer whale population collapse from PCB pollution Desforges, Jean-Pierre Hall, Ailsa McConnell, Bernie Rosing-Asvid, Aqqalu Barber, Jonathan L. Brownlow, Andrew De Guise, Sylvain Eulaers, Igor Jepson, Paul D. Letcher, Robert J. Levin, Milton Ross, Peter S. Samarra, Filipa Vikingson, Gísli Sonne, Christian Dietz, Rune NERC University of St Andrews. School of Biology University of St Andrews. Sea Mammal Research Unit University of St Andrews. Marine Alliance for Science & Technology Scotland University of St Andrews. Scottish Oceans Institute 2018-10-11T12:30:09Z 4 application/pdf http://hdl.handle.net/10023/16189 https://doi.org/10.1126/science.aat1953 eng eng Science Desforges , J-P , Hall , A , McConnell , B , Rosing-Asvid , A , Barber , J L , Brownlow , A , De Guise , S , Eulaers , I , Jepson , P D , Letcher , R J , Levin , M , Ross , P S , Samarra , F , Vikingson , G , Sonne , C & Dietz , R 2018 , ' Predicting global killer whale population collapse from PCB pollution ' , Science , vol. 361 , no. 6409 , pp. 1373-1376 . https://doi.org/10.1126/science.aat1953 0036-8075 PURE: 256100495 PURE UUID: 392b65a3-c25c-4f7f-a534-b0b1b3fbaebf Bibtex: urn:03bc22c49a6e450156d6d04b0e2043cf PubMed: 30262502 Scopus: 85054145385 ORCID: /0000-0002-7562-1771/work/49052080 ORCID: /0000-0001-7575-5270/work/56052239 WOS: 000446142200047 http://hdl.handle.net/10023/16189 https://doi.org/10.1126/science.aat1953 NE/R015007/1 Agreement R8-H12-86 © 2018, the Author(s). This work has been made available online in accordance with the publisher’s policies. This is the author created accepted version manuscript following peer review and as such may differ slightly from the final published version. The final published version of this work is available at https://doi.org/10.1126/science.aat1953 QH301 Biology DAS NERC BDC R2C ~DC~ QH301 Journal article 2018 ftstandrewserep https://doi.org/10.1126/science.aat1953 2023-06-13T18:28:14Z This research was supported by grants to J.-P.D. from the Canadian National Science and Engineering Research Council (NSERC) (PGSD3-443700-2013) and Aarhus University’s Graduate School and Science and Technology (GSST) and Department of Bioscience; and by funding from the Danish DANCEA program (MST-112-00171 and MST-112-00199); the Defra, Scottish and Welsh Governments (for CSIP/SMASS/CEFAS); and the Icelandic Research Fund (i. Rannsóknasjóður; grant no. 120248042). B.M. was supported by funding from NERC (grant no. SMRU 10001). This paper is a contribution from the BONUS BALTHEALTH project, which has received funding from BONUS (Art. 185), funded jointly by the EU, Innovation Fund Denmark, Forschungszentrum Jülich GmbH, German Federal Ministry of Education and Research (grant no. FKZ 03F0767A), Academy of Finland (decision no. 311966), and Swedish Foundation for Strategic Environmental Research. Killer whales (Orcinus orca) are among the most highly polychlorinated biphenyl (PCB)–contaminated mammals in the world, raising concern about the health consequences of current PCB exposures. Using an individual-based model framework and globally available data on PCB concentrations in killer whale tissues, we show that PCB-mediated effects on reproduction and immune function threaten the long-term viability of >50% of the world’s killer whale populations. PCB-mediated effects over the coming 100 years predicted that killer whale populations near industrialized regions, and those feeding at high trophic levels regardless of location, are at high risk of population collapse. Despite a near-global ban of PCBs more than 30 years ago, the world’s killer whales illustrate the troubling persistence of this chemical class. Postprint Peer reviewed Article in Journal/Newspaper Killer Whale Orca Orcinus orca Killer whale University of St Andrews: Digital Research Repository Science 361 6409 1373 1376
institution Open Polar
collection University of St Andrews: Digital Research Repository
op_collection_id ftstandrewserep
language English
topic QH301 Biology
DAS
NERC
BDC
R2C
~DC~
QH301
spellingShingle QH301 Biology
DAS
NERC
BDC
R2C
~DC~
QH301
Desforges, Jean-Pierre
Hall, Ailsa
McConnell, Bernie
Rosing-Asvid, Aqqalu
Barber, Jonathan L.
Brownlow, Andrew
De Guise, Sylvain
Eulaers, Igor
Jepson, Paul D.
Letcher, Robert J.
Levin, Milton
Ross, Peter S.
Samarra, Filipa
Vikingson, Gísli
Sonne, Christian
Dietz, Rune
Predicting global killer whale population collapse from PCB pollution
topic_facet QH301 Biology
DAS
NERC
BDC
R2C
~DC~
QH301
description This research was supported by grants to J.-P.D. from the Canadian National Science and Engineering Research Council (NSERC) (PGSD3-443700-2013) and Aarhus University’s Graduate School and Science and Technology (GSST) and Department of Bioscience; and by funding from the Danish DANCEA program (MST-112-00171 and MST-112-00199); the Defra, Scottish and Welsh Governments (for CSIP/SMASS/CEFAS); and the Icelandic Research Fund (i. Rannsóknasjóður; grant no. 120248042). B.M. was supported by funding from NERC (grant no. SMRU 10001). This paper is a contribution from the BONUS BALTHEALTH project, which has received funding from BONUS (Art. 185), funded jointly by the EU, Innovation Fund Denmark, Forschungszentrum Jülich GmbH, German Federal Ministry of Education and Research (grant no. FKZ 03F0767A), Academy of Finland (decision no. 311966), and Swedish Foundation for Strategic Environmental Research. Killer whales (Orcinus orca) are among the most highly polychlorinated biphenyl (PCB)–contaminated mammals in the world, raising concern about the health consequences of current PCB exposures. Using an individual-based model framework and globally available data on PCB concentrations in killer whale tissues, we show that PCB-mediated effects on reproduction and immune function threaten the long-term viability of >50% of the world’s killer whale populations. PCB-mediated effects over the coming 100 years predicted that killer whale populations near industrialized regions, and those feeding at high trophic levels regardless of location, are at high risk of population collapse. Despite a near-global ban of PCBs more than 30 years ago, the world’s killer whales illustrate the troubling persistence of this chemical class. Postprint Peer reviewed
author2 NERC
University of St Andrews. School of Biology
University of St Andrews. Sea Mammal Research Unit
University of St Andrews. Marine Alliance for Science & Technology Scotland
University of St Andrews. Scottish Oceans Institute
format Article in Journal/Newspaper
author Desforges, Jean-Pierre
Hall, Ailsa
McConnell, Bernie
Rosing-Asvid, Aqqalu
Barber, Jonathan L.
Brownlow, Andrew
De Guise, Sylvain
Eulaers, Igor
Jepson, Paul D.
Letcher, Robert J.
Levin, Milton
Ross, Peter S.
Samarra, Filipa
Vikingson, Gísli
Sonne, Christian
Dietz, Rune
author_facet Desforges, Jean-Pierre
Hall, Ailsa
McConnell, Bernie
Rosing-Asvid, Aqqalu
Barber, Jonathan L.
Brownlow, Andrew
De Guise, Sylvain
Eulaers, Igor
Jepson, Paul D.
Letcher, Robert J.
Levin, Milton
Ross, Peter S.
Samarra, Filipa
Vikingson, Gísli
Sonne, Christian
Dietz, Rune
author_sort Desforges, Jean-Pierre
title Predicting global killer whale population collapse from PCB pollution
title_short Predicting global killer whale population collapse from PCB pollution
title_full Predicting global killer whale population collapse from PCB pollution
title_fullStr Predicting global killer whale population collapse from PCB pollution
title_full_unstemmed Predicting global killer whale population collapse from PCB pollution
title_sort predicting global killer whale population collapse from pcb pollution
publishDate 2018
url http://hdl.handle.net/10023/16189
https://doi.org/10.1126/science.aat1953
genre Killer Whale
Orca
Orcinus orca
Killer whale
genre_facet Killer Whale
Orca
Orcinus orca
Killer whale
op_relation Science
Desforges , J-P , Hall , A , McConnell , B , Rosing-Asvid , A , Barber , J L , Brownlow , A , De Guise , S , Eulaers , I , Jepson , P D , Letcher , R J , Levin , M , Ross , P S , Samarra , F , Vikingson , G , Sonne , C & Dietz , R 2018 , ' Predicting global killer whale population collapse from PCB pollution ' , Science , vol. 361 , no. 6409 , pp. 1373-1376 . https://doi.org/10.1126/science.aat1953
0036-8075
PURE: 256100495
PURE UUID: 392b65a3-c25c-4f7f-a534-b0b1b3fbaebf
Bibtex: urn:03bc22c49a6e450156d6d04b0e2043cf
PubMed: 30262502
Scopus: 85054145385
ORCID: /0000-0002-7562-1771/work/49052080
ORCID: /0000-0001-7575-5270/work/56052239
WOS: 000446142200047
http://hdl.handle.net/10023/16189
https://doi.org/10.1126/science.aat1953
NE/R015007/1
Agreement R8-H12-86
op_rights © 2018, the Author(s). This work has been made available online in accordance with the publisher’s policies. This is the author created accepted version manuscript following peer review and as such may differ slightly from the final published version. The final published version of this work is available at https://doi.org/10.1126/science.aat1953
op_doi https://doi.org/10.1126/science.aat1953
container_title Science
container_volume 361
container_issue 6409
container_start_page 1373
op_container_end_page 1376
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