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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ftzenodo:oai:zenodo.org:4969476 2023-05-15T18:01:46+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. 2018-01-31 https://zenodo.org/record/4969476 https://doi.org/10.5061/dryad.f68m0 unknown doi:10.1111/1365-2664.12864 https://zenodo.org/communities/dryad https://zenodo.org/record/4969476 https://doi.org/10.5061/dryad.f68m0 oai:zenodo.org:4969476 info:eu-repo/semantics/openAccess https://creativecommons.org/publicdomain/zero/1.0/legalcode habitat loss harvest polar bear sustainable risk state-dependent management Ursus maritimus info:eu-repo/semantics/other dataset 2018 ftzenodo https://doi.org/10.5061/dryad.f68m010.1111/1365-2664.12864 2023-03-11T01:38:44Z 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 ... Dataset polar bear Sea ice Ursus maritimus Zenodo |
institution |
Open Polar |
collection |
Zenodo |
op_collection_id |
ftzenodo |
language |
unknown |
topic |
habitat loss harvest polar bear sustainable risk state-dependent management Ursus maritimus |
spellingShingle |
habitat loss harvest polar bear sustainable risk state-dependent management Ursus maritimus 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 |
habitat loss harvest polar bear sustainable risk state-dependent management Ursus maritimus |
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 ... |
format |
Dataset |
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 |
2018 |
url |
https://zenodo.org/record/4969476 https://doi.org/10.5061/dryad.f68m0 |
genre |
polar bear Sea ice Ursus maritimus |
genre_facet |
polar bear Sea ice Ursus maritimus |
op_relation |
doi:10.1111/1365-2664.12864 https://zenodo.org/communities/dryad https://zenodo.org/record/4969476 https://doi.org/10.5061/dryad.f68m0 oai:zenodo.org:4969476 |
op_rights |
info:eu-repo/semantics/openAccess https://creativecommons.org/publicdomain/zero/1.0/legalcode |
op_doi |
https://doi.org/10.5061/dryad.f68m010.1111/1365-2664.12864 |
_version_ |
1766171281340760064 |