Forecasting the relative influence of environmental and anthropogenic stressors on polar bears

Abstract Effective conservation planning requires understanding and ranking threats to wildlife populations. We developed a Bayesian network model to evaluate the relative influence of environmental and anthropogenic stressors, and their mitigation, on the persistence of polar bears (Ursus maritimus...

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Published in:Ecosphere
Main Authors: Todd C. Atwood, Bruce G. Marcot, David C. Douglas, Steven C. Amstrup, Karyn D. Rode, George M. Durner, Jeffrey F. Bromaghin
Format: Article in Journal/Newspaper
Language:English
Published: Wiley 2016
Subjects:
Online Access:https://doi.org/10.1002/ecs2.1370
https://doaj.org/article/de856aa6239c4f29bd19159d182ee46e
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spelling ftdoajarticles:oai:doaj.org/article:de856aa6239c4f29bd19159d182ee46e 2023-05-15T14:29:20+02:00 Forecasting the relative influence of environmental and anthropogenic stressors on polar bears Todd C. Atwood Bruce G. Marcot David C. Douglas Steven C. Amstrup Karyn D. Rode George M. Durner Jeffrey F. Bromaghin 2016-06-01T00:00:00Z https://doi.org/10.1002/ecs2.1370 https://doaj.org/article/de856aa6239c4f29bd19159d182ee46e EN eng Wiley https://doi.org/10.1002/ecs2.1370 https://doaj.org/toc/2150-8925 2150-8925 doi:10.1002/ecs2.1370 https://doaj.org/article/de856aa6239c4f29bd19159d182ee46e Ecosphere, Vol 7, Iss 6, Pp n/a-n/a (2016) Arctic Bayesian network climate change conservation greenhouse gas emissions influence analysis Ecology QH540-549.5 article 2016 ftdoajarticles https://doi.org/10.1002/ecs2.1370 2022-12-31T03:16:53Z Abstract Effective conservation planning requires understanding and ranking threats to wildlife populations. We developed a Bayesian network model to evaluate the relative influence of environmental and anthropogenic stressors, and their mitigation, on the persistence of polar bears (Ursus maritimus). Overall sea ice conditions, affected by rising global temperatures, were the most influential determinant of population outcomes. Accordingly, unabated rise in atmospheric greenhouse gas (GHG) concentrations was the dominant influence leading to worsened population outcomes, with polar bears in three of four ecoregions reaching a dominant probability of decreased or greatly decreased by the latter part of this century. Stabilization of atmospheric GHG concentrations by mid‐century delayed the greatly reduced state by ≈25 yr in two ecoregions. Prompt and aggressive mitigation of emissions reduced the probability of any regional population becoming greatly reduced by up to 25%. Marine prey availability, linked closely to sea ice trend, had slightly less influence on outcome state than sea ice availability itself. Reduced mortality from hunting and defense of life and property interactions resulted in modest declines in the probability of a decreased or greatly decreased population outcome. Minimizing other stressors such as trans‐Arctic shipping, oil and gas exploration, and contaminants had a negligible effect on polar bear outcomes, although the model was not well‐informed with respect to the potential influence of these stressors. Adverse consequences of loss of sea ice habitat became more pronounced as the summer ice‐free period lengthened beyond four months, which could occur in most of the Arctic basin after mid‐century if GHG emissions are not promptly reduced. Long‐term conservation of polar bears would be best supported by holding global mean temperature to ≤ 2°C above preindustrial levels. Until further sea ice loss is stopped, management of other stressors may serve to slow the transition of populations to ... Article in Journal/Newspaper Arctic Basin Arctic Climate change Sea ice Ursus maritimus Directory of Open Access Journals: DOAJ Articles Arctic Ecosphere 7 6
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Arctic
Bayesian network
climate change
conservation
greenhouse gas emissions
influence analysis
Ecology
QH540-549.5
spellingShingle Arctic
Bayesian network
climate change
conservation
greenhouse gas emissions
influence analysis
Ecology
QH540-549.5
Todd C. Atwood
Bruce G. Marcot
David C. Douglas
Steven C. Amstrup
Karyn D. Rode
George M. Durner
Jeffrey F. Bromaghin
Forecasting the relative influence of environmental and anthropogenic stressors on polar bears
topic_facet Arctic
Bayesian network
climate change
conservation
greenhouse gas emissions
influence analysis
Ecology
QH540-549.5
description Abstract Effective conservation planning requires understanding and ranking threats to wildlife populations. We developed a Bayesian network model to evaluate the relative influence of environmental and anthropogenic stressors, and their mitigation, on the persistence of polar bears (Ursus maritimus). Overall sea ice conditions, affected by rising global temperatures, were the most influential determinant of population outcomes. Accordingly, unabated rise in atmospheric greenhouse gas (GHG) concentrations was the dominant influence leading to worsened population outcomes, with polar bears in three of four ecoregions reaching a dominant probability of decreased or greatly decreased by the latter part of this century. Stabilization of atmospheric GHG concentrations by mid‐century delayed the greatly reduced state by ≈25 yr in two ecoregions. Prompt and aggressive mitigation of emissions reduced the probability of any regional population becoming greatly reduced by up to 25%. Marine prey availability, linked closely to sea ice trend, had slightly less influence on outcome state than sea ice availability itself. Reduced mortality from hunting and defense of life and property interactions resulted in modest declines in the probability of a decreased or greatly decreased population outcome. Minimizing other stressors such as trans‐Arctic shipping, oil and gas exploration, and contaminants had a negligible effect on polar bear outcomes, although the model was not well‐informed with respect to the potential influence of these stressors. Adverse consequences of loss of sea ice habitat became more pronounced as the summer ice‐free period lengthened beyond four months, which could occur in most of the Arctic basin after mid‐century if GHG emissions are not promptly reduced. Long‐term conservation of polar bears would be best supported by holding global mean temperature to ≤ 2°C above preindustrial levels. Until further sea ice loss is stopped, management of other stressors may serve to slow the transition of populations to ...
format Article in Journal/Newspaper
author Todd C. Atwood
Bruce G. Marcot
David C. Douglas
Steven C. Amstrup
Karyn D. Rode
George M. Durner
Jeffrey F. Bromaghin
author_facet Todd C. Atwood
Bruce G. Marcot
David C. Douglas
Steven C. Amstrup
Karyn D. Rode
George M. Durner
Jeffrey F. Bromaghin
author_sort Todd C. Atwood
title Forecasting the relative influence of environmental and anthropogenic stressors on polar bears
title_short Forecasting the relative influence of environmental and anthropogenic stressors on polar bears
title_full Forecasting the relative influence of environmental and anthropogenic stressors on polar bears
title_fullStr Forecasting the relative influence of environmental and anthropogenic stressors on polar bears
title_full_unstemmed Forecasting the relative influence of environmental and anthropogenic stressors on polar bears
title_sort forecasting the relative influence of environmental and anthropogenic stressors on polar bears
publisher Wiley
publishDate 2016
url https://doi.org/10.1002/ecs2.1370
https://doaj.org/article/de856aa6239c4f29bd19159d182ee46e
geographic Arctic
geographic_facet Arctic
genre Arctic Basin
Arctic
Climate change
Sea ice
Ursus maritimus
genre_facet Arctic Basin
Arctic
Climate change
Sea ice
Ursus maritimus
op_source Ecosphere, Vol 7, Iss 6, Pp n/a-n/a (2016)
op_relation https://doi.org/10.1002/ecs2.1370
https://doaj.org/toc/2150-8925
2150-8925
doi:10.1002/ecs2.1370
https://doaj.org/article/de856aa6239c4f29bd19159d182ee46e
op_doi https://doi.org/10.1002/ecs2.1370
container_title Ecosphere
container_volume 7
container_issue 6
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