Data from: Harvesting wildlife affected by climate change: a modelling and management approach for polar bears
The conservation of many wildlife species requires understanding the demographic effects of climate change, including interactions between climate change and harvest, which can provide cultural, nutritional or economic value to humans. We present a demographic model that is based on the polar bear U...
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ftdans:oai:easy.dans.knaw.nl:easy-dataset:96753 2023-07-02T03:33:31+02:00 Data from: Harvesting wildlife affected by climate change: a modelling and management approach for polar bears Regehr, Eric V. Wilson, Ryan R. Rode, Karyn D. Runge, Michael C. Stern, Harry L. 2017-03-08T13:56:04.000+01:00 http://nbn-resolving.org/urn:nbn:nl:ui:13-cv-1nvr https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:96753 unknown doi:10.5061/dryad.f68m0/1 doi:10.5061/dryad.f68m0/2 doi:10.1111/1365-2664.12864 http://nbn-resolving.org/urn:nbn:nl:ui:13-cv-1nvr doi:10.5061/dryad.f68m0 https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:96753 OPEN_ACCESS: The data are archived in Easy, they are accessible elsewhere through the DOI https://dans.knaw.nl/en/about/organisation-and-policy/legal-information/DANSLicence.pdf Life sciences medicine and health care 2017 ftdans https://doi.org/10.5061/dryad.f68m0/110.5061/dryad.f68m0/210.1111/1365-2664.1286410.5061/dryad.f68m0 2023-06-13T13:24:13Z The conservation of many wildlife species requires understanding the demographic effects of climate change, including interactions between climate change and harvest, which can provide cultural, nutritional or economic value to humans. We present a demographic model that is based on the polar bear Ursus maritimus life cycle and includes density-dependent relationships linking vital rates to environmental carrying capacity (K). Using this model, we develop a state-dependent management framework to calculate a harvest level that (i) maintains a population above its maximum net productivity level (MNPL; the population size that produces the greatest net increment in abundance) relative to a changing K, and (ii) has a limited negative effect on population persistence. Our density-dependent relationships suggest that MNPL for polar bears occurs at approximately 0·69 (95% CI = 0·63–0·74) of K. Population growth rate at MNPL was approximately 0·82 (95% CI = 0·79–0·84) of the maximum intrinsic growth rate, suggesting relatively strong compensation for human-caused mortality. Our findings indicate that it is possible to minimize the demographic risks of harvest under climate change, including the risk that harvest will accelerate population declines driven by loss of the polar bear's sea-ice habitat. This requires that (i) the harvest rate – which could be 0 in some situations – accounts for a population's intrinsic growth rate, (ii) the harvest rate accounts for the quality of population data (e.g. lower harvest when uncertainty is large), and (iii) the harvest level is obtained by multiplying the harvest rate by an updated estimate of population size. Environmental variability, the sex and age of removed animals and risk tolerance can also affect the harvest rate. Synthesis and applications. We present a coupled modelling and management approach for wildlife that accounts for climate change and can be used to balance trade-offs among multiple conservation goals. In our example application to polar bears experiencing ... Other/Unknown Material polar bear Sea ice Ursus maritimus Data Archiving and Networked Services (DANS): EASY (KNAW - Koninklijke Nederlandse Akademie van Wetenschappen) |
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Open Polar |
collection |
Data Archiving and Networked Services (DANS): EASY (KNAW - Koninklijke Nederlandse Akademie van Wetenschappen) |
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ftdans |
language |
unknown |
topic |
Life sciences medicine and health care |
spellingShingle |
Life sciences medicine and health care Regehr, Eric V. Wilson, Ryan R. Rode, Karyn D. Runge, Michael C. Stern, Harry L. Data from: Harvesting wildlife affected by climate change: a modelling and management approach for polar bears |
topic_facet |
Life sciences medicine and health care |
description |
The conservation of many wildlife species requires understanding the demographic effects of climate change, including interactions between climate change and harvest, which can provide cultural, nutritional or economic value to humans. We present a demographic model that is based on the polar bear Ursus maritimus life cycle and includes density-dependent relationships linking vital rates to environmental carrying capacity (K). Using this model, we develop a state-dependent management framework to calculate a harvest level that (i) maintains a population above its maximum net productivity level (MNPL; the population size that produces the greatest net increment in abundance) relative to a changing K, and (ii) has a limited negative effect on population persistence. Our density-dependent relationships suggest that MNPL for polar bears occurs at approximately 0·69 (95% CI = 0·63–0·74) of K. Population growth rate at MNPL was approximately 0·82 (95% CI = 0·79–0·84) of the maximum intrinsic growth rate, suggesting relatively strong compensation for human-caused mortality. Our findings indicate that it is possible to minimize the demographic risks of harvest under climate change, including the risk that harvest will accelerate population declines driven by loss of the polar bear's sea-ice habitat. This requires that (i) the harvest rate – which could be 0 in some situations – accounts for a population's intrinsic growth rate, (ii) the harvest rate accounts for the quality of population data (e.g. lower harvest when uncertainty is large), and (iii) the harvest level is obtained by multiplying the harvest rate by an updated estimate of population size. Environmental variability, the sex and age of removed animals and risk tolerance can also affect the harvest rate. Synthesis and applications. We present a coupled modelling and management approach for wildlife that accounts for climate change and can be used to balance trade-offs among multiple conservation goals. In our example application to polar bears experiencing ... |
author |
Regehr, Eric V. Wilson, Ryan R. Rode, Karyn D. Runge, Michael C. Stern, Harry L. |
author_facet |
Regehr, Eric V. Wilson, Ryan R. Rode, Karyn D. Runge, Michael C. Stern, Harry L. |
author_sort |
Regehr, Eric V. |
title |
Data from: Harvesting wildlife affected by climate change: a modelling and management approach for polar bears |
title_short |
Data from: Harvesting wildlife affected by climate change: a modelling and management approach for polar bears |
title_full |
Data from: Harvesting wildlife affected by climate change: a modelling and management approach for polar bears |
title_fullStr |
Data from: Harvesting wildlife affected by climate change: a modelling and management approach for polar bears |
title_full_unstemmed |
Data from: Harvesting wildlife affected by climate change: a modelling and management approach for polar bears |
title_sort |
data from: harvesting wildlife affected by climate change: a modelling and management approach for polar bears |
publishDate |
2017 |
url |
http://nbn-resolving.org/urn:nbn:nl:ui:13-cv-1nvr https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:96753 |
genre |
polar bear Sea ice Ursus maritimus |
genre_facet |
polar bear Sea ice Ursus maritimus |
op_relation |
doi:10.5061/dryad.f68m0/1 doi:10.5061/dryad.f68m0/2 doi:10.1111/1365-2664.12864 http://nbn-resolving.org/urn:nbn:nl:ui:13-cv-1nvr doi:10.5061/dryad.f68m0 https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:96753 |
op_rights |
OPEN_ACCESS: The data are archived in Easy, they are accessible elsewhere through the DOI https://dans.knaw.nl/en/about/organisation-and-policy/legal-information/DANSLicence.pdf |
op_doi |
https://doi.org/10.5061/dryad.f68m0/110.5061/dryad.f68m0/210.1111/1365-2664.1286410.5061/dryad.f68m0 |
_version_ |
1770273502462476288 |