Denning phenology and reproductive success of wolves in response to climate signals
Abstract Arctic and boreal ecosystems are experiencing rapid changes in temperature and precipitation regimes. Subsequent shifts in seasonality can lead to a mismatch between the timing of resource availability and species’ life-history events, known as phenological or trophic mismatch. Although mis...
Published in: | Environmental Research Letters |
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Online Access: | http://dx.doi.org/10.1088/1748-9326/abc0ba https://iopscience.iop.org/article/10.1088/1748-9326/abc0ba https://iopscience.iop.org/article/10.1088/1748-9326/abc0ba/pdf |
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crioppubl:10.1088/1748-9326/abc0ba 2024-09-09T19:27:57+00:00 Denning phenology and reproductive success of wolves in response to climate signals Mahoney, Peter J Joly, Kyle Borg, Bridget L Sorum, Mathew S Rinaldi, Todd A Saalfeld, David Golden, Howard Latham, A David M Kelly, Allicia P Mangipane, Buck Koizumi, Catherine Lambert Neufeld, Layla Hebblewhite, Mark Boelman, Natalie T Prugh, Laura R NASA Arctic Boreal Vulnerability Experiment 2020 http://dx.doi.org/10.1088/1748-9326/abc0ba https://iopscience.iop.org/article/10.1088/1748-9326/abc0ba https://iopscience.iop.org/article/10.1088/1748-9326/abc0ba/pdf unknown IOP Publishing http://creativecommons.org/licenses/by/4.0 https://iopscience.iop.org/info/page/text-and-data-mining Environmental Research Letters volume 15, issue 12, page 125001 ISSN 1748-9326 journal-article 2020 crioppubl https://doi.org/10.1088/1748-9326/abc0ba 2024-06-17T04:11:12Z Abstract Arctic and boreal ecosystems are experiencing rapid changes in temperature and precipitation regimes. Subsequent shifts in seasonality can lead to a mismatch between the timing of resource availability and species’ life-history events, known as phenological or trophic mismatch. Although mismatch has been shown to negatively affect some northern animal populations, longer-term impacts across large regions remain unknown. In addition, animals may rely on climate cues during preceding seasons to time key life history events such as reproduction, but the reliability of these cues as indicators of subsequent resource availability has not been examined. We used remote sensing and gridded spatial data to evaluate the effect of climate factors on the reproductive phenology and success of a wide-ranging carnivore, the gray wolf ( Canis lupus ). We used global positioning system (GPS) location data from 388 wolves to estimate den initiation dates ( n = 227 dens within 106 packs) and reproductive success in eight populations across northwestern North America from 2000 to 2017. Spring onset shifted 14.2 d earlier, on average, during the 18-year period, but the regional mean date of denning did not change. Preceding winter temperature was the strongest climatic predictor of denning phenology, with higher temperatures advancing the timing of denning. Winter temperature was also one the strongest and most reliable indicators of the timing of spring onset. Reproductive success was not affected by timing of denning or synchrony with spring onset, but improved during cooler summers and following relatively dry autumns. Our findings highlight a disconnect between climate factors that affect phenology and those that affect demography, suggesting that carnivores may be resilient to shifts in seasonality and yet sensitive to weather conditions affecting their prey at both local and regional scales. These insights regarding the relationship between climate and carnivore demography should improve predictions of climate warming ... Article in Journal/Newspaper Arctic Canis lupus gray wolf IOP Publishing Arctic Environmental Research Letters 15 12 125001 |
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IOP Publishing |
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crioppubl |
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description |
Abstract Arctic and boreal ecosystems are experiencing rapid changes in temperature and precipitation regimes. Subsequent shifts in seasonality can lead to a mismatch between the timing of resource availability and species’ life-history events, known as phenological or trophic mismatch. Although mismatch has been shown to negatively affect some northern animal populations, longer-term impacts across large regions remain unknown. In addition, animals may rely on climate cues during preceding seasons to time key life history events such as reproduction, but the reliability of these cues as indicators of subsequent resource availability has not been examined. We used remote sensing and gridded spatial data to evaluate the effect of climate factors on the reproductive phenology and success of a wide-ranging carnivore, the gray wolf ( Canis lupus ). We used global positioning system (GPS) location data from 388 wolves to estimate den initiation dates ( n = 227 dens within 106 packs) and reproductive success in eight populations across northwestern North America from 2000 to 2017. Spring onset shifted 14.2 d earlier, on average, during the 18-year period, but the regional mean date of denning did not change. Preceding winter temperature was the strongest climatic predictor of denning phenology, with higher temperatures advancing the timing of denning. Winter temperature was also one the strongest and most reliable indicators of the timing of spring onset. Reproductive success was not affected by timing of denning or synchrony with spring onset, but improved during cooler summers and following relatively dry autumns. Our findings highlight a disconnect between climate factors that affect phenology and those that affect demography, suggesting that carnivores may be resilient to shifts in seasonality and yet sensitive to weather conditions affecting their prey at both local and regional scales. These insights regarding the relationship between climate and carnivore demography should improve predictions of climate warming ... |
author2 |
NASA Arctic Boreal Vulnerability Experiment |
format |
Article in Journal/Newspaper |
author |
Mahoney, Peter J Joly, Kyle Borg, Bridget L Sorum, Mathew S Rinaldi, Todd A Saalfeld, David Golden, Howard Latham, A David M Kelly, Allicia P Mangipane, Buck Koizumi, Catherine Lambert Neufeld, Layla Hebblewhite, Mark Boelman, Natalie T Prugh, Laura R |
spellingShingle |
Mahoney, Peter J Joly, Kyle Borg, Bridget L Sorum, Mathew S Rinaldi, Todd A Saalfeld, David Golden, Howard Latham, A David M Kelly, Allicia P Mangipane, Buck Koizumi, Catherine Lambert Neufeld, Layla Hebblewhite, Mark Boelman, Natalie T Prugh, Laura R Denning phenology and reproductive success of wolves in response to climate signals |
author_facet |
Mahoney, Peter J Joly, Kyle Borg, Bridget L Sorum, Mathew S Rinaldi, Todd A Saalfeld, David Golden, Howard Latham, A David M Kelly, Allicia P Mangipane, Buck Koizumi, Catherine Lambert Neufeld, Layla Hebblewhite, Mark Boelman, Natalie T Prugh, Laura R |
author_sort |
Mahoney, Peter J |
title |
Denning phenology and reproductive success of wolves in response to climate signals |
title_short |
Denning phenology and reproductive success of wolves in response to climate signals |
title_full |
Denning phenology and reproductive success of wolves in response to climate signals |
title_fullStr |
Denning phenology and reproductive success of wolves in response to climate signals |
title_full_unstemmed |
Denning phenology and reproductive success of wolves in response to climate signals |
title_sort |
denning phenology and reproductive success of wolves in response to climate signals |
publisher |
IOP Publishing |
publishDate |
2020 |
url |
http://dx.doi.org/10.1088/1748-9326/abc0ba https://iopscience.iop.org/article/10.1088/1748-9326/abc0ba https://iopscience.iop.org/article/10.1088/1748-9326/abc0ba/pdf |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Canis lupus gray wolf |
genre_facet |
Arctic Canis lupus gray wolf |
op_source |
Environmental Research Letters volume 15, issue 12, page 125001 ISSN 1748-9326 |
op_rights |
http://creativecommons.org/licenses/by/4.0 https://iopscience.iop.org/info/page/text-and-data-mining |
op_doi |
https://doi.org/10.1088/1748-9326/abc0ba |
container_title |
Environmental Research Letters |
container_volume |
15 |
container_issue |
12 |
container_start_page |
125001 |
_version_ |
1809897265316233216 |