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Modeling population effects of the Deepwater Horizon oil spill on a long‐lived species
The 2010 Deepwater Horizon (DWH) oil spill exposed common bottlenose dolphins (Tursiops truncatus) in Barataria Bay, Louisiana to heavy oiling that caused increased mortality and chronic disease and impaired reproduction in surviving dolphins. We conducted photographic surveys and veterinary assessm...
Autores principales: | , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9545999/ https://www.ncbi.nlm.nih.gov/pubmed/34918835 http://dx.doi.org/10.1111/cobi.13878 |
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author | Schwacke, Lori H. Marques, Tiago A. Thomas, Len Booth, Cormac G. Balmer, Brian C. Barratclough, Ashley Colegrove, Kathleen De Guise, Sylvain Garrison, Lance P. Gomez, Forrest M. Morey, Jeanine S. Mullin, Keith D. Quigley, Brian M. Rosel, Patricia E. Rowles, Teresa K. Takeshita, Ryan Townsend, Forrest I. Speakman, Todd R. Wells, Randall S. Zolman, Eric S. Smith, Cynthia R. |
author_facet | Schwacke, Lori H. Marques, Tiago A. Thomas, Len Booth, Cormac G. Balmer, Brian C. Barratclough, Ashley Colegrove, Kathleen De Guise, Sylvain Garrison, Lance P. Gomez, Forrest M. Morey, Jeanine S. Mullin, Keith D. Quigley, Brian M. Rosel, Patricia E. Rowles, Teresa K. Takeshita, Ryan Townsend, Forrest I. Speakman, Todd R. Wells, Randall S. Zolman, Eric S. Smith, Cynthia R. |
author_sort | Schwacke, Lori H. |
collection | PubMed |
description | The 2010 Deepwater Horizon (DWH) oil spill exposed common bottlenose dolphins (Tursiops truncatus) in Barataria Bay, Louisiana to heavy oiling that caused increased mortality and chronic disease and impaired reproduction in surviving dolphins. We conducted photographic surveys and veterinary assessments in the decade following the spill. We assigned a prognostic score (good, fair, guarded, poor, or grave) for each dolphin to provide a single integrated indicator of overall health, and we examined temporal trends in prognostic scores. We used expert elicitation to quantify the implications of trends for the proportion of the dolphins that would recover within their lifetime. We integrated expert elicitation, along with other new information, in a population dynamics model to predict the effects of observed health trends on demography. We compared the resulting population trajectory with that predicted under baseline (no spill) conditions. Disease conditions persisted and have recently worsened in dolphins that were presumably exposed to DWH oil: 78% of those assessed in 2018 had a guarded, poor, or grave prognosis. Dolphins born after the spill were in better health. We estimated that the population declined by 45% (95% CI 14–74) relative to baseline and will take 35 years (95% CI 18–67) to recover to 95% of baseline numbers. The sum of annual differences between baseline and injured population sizes (i.e., the lost cetacean years) was 30,993 (95% CI 6607–94,148). The population is currently at a minimum point in its recovery trajectory and is vulnerable to emerging threats, including planned ecosystem restoration efforts that are likely to be detrimental to the dolphins’ survival. Our modeling framework demonstrates an approach for integrating different sources and types of data, highlights the utility of expert elicitation for indeterminable input parameters, and emphasizes the importance of considering and monitoring long‐term health of long‐lived species subject to environmental disasters. Article impact statement: Oil spills can have long‐term consequences for the health of long‐lived species; thus, effective restoration and monitoring are needed. |
format | Online Article Text |
id | pubmed-9545999 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-95459992022-10-14 Modeling population effects of the Deepwater Horizon oil spill on a long‐lived species Schwacke, Lori H. Marques, Tiago A. Thomas, Len Booth, Cormac G. Balmer, Brian C. Barratclough, Ashley Colegrove, Kathleen De Guise, Sylvain Garrison, Lance P. Gomez, Forrest M. Morey, Jeanine S. Mullin, Keith D. Quigley, Brian M. Rosel, Patricia E. Rowles, Teresa K. Takeshita, Ryan Townsend, Forrest I. Speakman, Todd R. Wells, Randall S. Zolman, Eric S. Smith, Cynthia R. Conserv Biol Contributed Papers The 2010 Deepwater Horizon (DWH) oil spill exposed common bottlenose dolphins (Tursiops truncatus) in Barataria Bay, Louisiana to heavy oiling that caused increased mortality and chronic disease and impaired reproduction in surviving dolphins. We conducted photographic surveys and veterinary assessments in the decade following the spill. We assigned a prognostic score (good, fair, guarded, poor, or grave) for each dolphin to provide a single integrated indicator of overall health, and we examined temporal trends in prognostic scores. We used expert elicitation to quantify the implications of trends for the proportion of the dolphins that would recover within their lifetime. We integrated expert elicitation, along with other new information, in a population dynamics model to predict the effects of observed health trends on demography. We compared the resulting population trajectory with that predicted under baseline (no spill) conditions. Disease conditions persisted and have recently worsened in dolphins that were presumably exposed to DWH oil: 78% of those assessed in 2018 had a guarded, poor, or grave prognosis. Dolphins born after the spill were in better health. We estimated that the population declined by 45% (95% CI 14–74) relative to baseline and will take 35 years (95% CI 18–67) to recover to 95% of baseline numbers. The sum of annual differences between baseline and injured population sizes (i.e., the lost cetacean years) was 30,993 (95% CI 6607–94,148). The population is currently at a minimum point in its recovery trajectory and is vulnerable to emerging threats, including planned ecosystem restoration efforts that are likely to be detrimental to the dolphins’ survival. Our modeling framework demonstrates an approach for integrating different sources and types of data, highlights the utility of expert elicitation for indeterminable input parameters, and emphasizes the importance of considering and monitoring long‐term health of long‐lived species subject to environmental disasters. Article impact statement: Oil spills can have long‐term consequences for the health of long‐lived species; thus, effective restoration and monitoring are needed. John Wiley and Sons Inc. 2022-02-16 2022-08 /pmc/articles/PMC9545999/ /pubmed/34918835 http://dx.doi.org/10.1111/cobi.13878 Text en © 2021 The Authors. Conservation Biology published by Wiley Periodicals LLC on behalf of Society for Conservation Biology. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Contributed Papers Schwacke, Lori H. Marques, Tiago A. Thomas, Len Booth, Cormac G. Balmer, Brian C. Barratclough, Ashley Colegrove, Kathleen De Guise, Sylvain Garrison, Lance P. Gomez, Forrest M. Morey, Jeanine S. Mullin, Keith D. Quigley, Brian M. Rosel, Patricia E. Rowles, Teresa K. Takeshita, Ryan Townsend, Forrest I. Speakman, Todd R. Wells, Randall S. Zolman, Eric S. Smith, Cynthia R. Modeling population effects of the Deepwater Horizon oil spill on a long‐lived species |
title | Modeling population effects of the Deepwater Horizon oil spill on a long‐lived species |
title_full | Modeling population effects of the Deepwater Horizon oil spill on a long‐lived species |
title_fullStr | Modeling population effects of the Deepwater Horizon oil spill on a long‐lived species |
title_full_unstemmed | Modeling population effects of the Deepwater Horizon oil spill on a long‐lived species |
title_short | Modeling population effects of the Deepwater Horizon oil spill on a long‐lived species |
title_sort | modeling population effects of the deepwater horizon oil spill on a long‐lived species |
topic | Contributed Papers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9545999/ https://www.ncbi.nlm.nih.gov/pubmed/34918835 http://dx.doi.org/10.1111/cobi.13878 |
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