Spatial heterogeneity in climate change effects decouples the long‐term dynamics of wild reindeer populations in the high Arctic
The ‘Moran effect’ predicts that dynamics of populations of a species are synchronized over similar distances as their environmental drivers. Strong population synchrony reduces species viability, but spatial heterogeneity in density dependence, the environment, or its ecological responses may decou...
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Online Access: | http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6851690/ http://www.ncbi.nlm.nih.gov/pubmed/31435996 https://doi.org/10.1111/gcb.14761 |
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ftpubmed:oai:pubmedcentral.nih.gov:6851690 2023-05-15T15:00:50+02:00 Spatial heterogeneity in climate change effects decouples the long‐term dynamics of wild reindeer populations in the high Arctic Hansen, Brage Bremset Pedersen, Åshild Ønvik Peeters, Bart Le Moullec, Mathilde Albon, Steve D. Herfindal, Ivar Sæther, Bernt‐Erik Grøtan, Vidar Aanes, Ronny 2019-08-21 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6851690/ http://www.ncbi.nlm.nih.gov/pubmed/31435996 https://doi.org/10.1111/gcb.14761 en eng John Wiley and Sons Inc. http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6851690/ http://www.ncbi.nlm.nih.gov/pubmed/31435996 http://dx.doi.org/10.1111/gcb.14761 © 2019 The Authors. Global Change Biology Published by John Wiley & Sons Ltd This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. CC-BY-NC Primary Research Articles Text 2019 ftpubmed https://doi.org/10.1111/gcb.14761 2019-11-24T01:35:38Z The ‘Moran effect’ predicts that dynamics of populations of a species are synchronized over similar distances as their environmental drivers. Strong population synchrony reduces species viability, but spatial heterogeneity in density dependence, the environment, or its ecological responses may decouple dynamics in space, preventing extinctions. How such heterogeneity buffers impacts of global change on large‐scale population dynamics is not well studied. Here, we show that spatially autocorrelated fluctuations in annual winter weather synchronize wild reindeer dynamics across high‐Arctic Svalbard, while, paradoxically, spatial variation in winter climate trends contribute to diverging local population trajectories. Warmer summers have improved the carrying capacity and apparently led to increased total reindeer abundance. However, fluctuations in population size seem mainly driven by negative effects of stochastic winter rain‐on‐snow (ROS) events causing icing, with strongest effects at high densities. Count data for 10 reindeer populations 8–324 km apart suggested that density‐dependent ROS effects contributed to synchrony in population dynamics, mainly through spatially autocorrelated mortality. By comparing one coastal and one ‘continental’ reindeer population over four decades, we show that locally contrasting abundance trends can arise from spatial differences in climate change and responses to weather. The coastal population experienced a larger increase in ROS, and a stronger density‐dependent ROS effect on population growth rates, than the continental population. In contrast, the latter experienced stronger summer warming and showed the strongest positive response to summer temperatures. Accordingly, contrasting net effects of a recent climate regime shift—with increased ROS and harsher winters, yet higher summer temperatures and improved carrying capacity—led to negative and positive abundance trends in the coastal and continental population respectively. Thus, synchronized population fluctuations by ... Text Arctic Climate change Svalbard PubMed Central (PMC) Arctic Svalbard Global Change Biology 25 11 3656 3668 |
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Primary Research Articles |
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Primary Research Articles Hansen, Brage Bremset Pedersen, Åshild Ønvik Peeters, Bart Le Moullec, Mathilde Albon, Steve D. Herfindal, Ivar Sæther, Bernt‐Erik Grøtan, Vidar Aanes, Ronny Spatial heterogeneity in climate change effects decouples the long‐term dynamics of wild reindeer populations in the high Arctic |
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Primary Research Articles |
description |
The ‘Moran effect’ predicts that dynamics of populations of a species are synchronized over similar distances as their environmental drivers. Strong population synchrony reduces species viability, but spatial heterogeneity in density dependence, the environment, or its ecological responses may decouple dynamics in space, preventing extinctions. How such heterogeneity buffers impacts of global change on large‐scale population dynamics is not well studied. Here, we show that spatially autocorrelated fluctuations in annual winter weather synchronize wild reindeer dynamics across high‐Arctic Svalbard, while, paradoxically, spatial variation in winter climate trends contribute to diverging local population trajectories. Warmer summers have improved the carrying capacity and apparently led to increased total reindeer abundance. However, fluctuations in population size seem mainly driven by negative effects of stochastic winter rain‐on‐snow (ROS) events causing icing, with strongest effects at high densities. Count data for 10 reindeer populations 8–324 km apart suggested that density‐dependent ROS effects contributed to synchrony in population dynamics, mainly through spatially autocorrelated mortality. By comparing one coastal and one ‘continental’ reindeer population over four decades, we show that locally contrasting abundance trends can arise from spatial differences in climate change and responses to weather. The coastal population experienced a larger increase in ROS, and a stronger density‐dependent ROS effect on population growth rates, than the continental population. In contrast, the latter experienced stronger summer warming and showed the strongest positive response to summer temperatures. Accordingly, contrasting net effects of a recent climate regime shift—with increased ROS and harsher winters, yet higher summer temperatures and improved carrying capacity—led to negative and positive abundance trends in the coastal and continental population respectively. Thus, synchronized population fluctuations by ... |
format |
Text |
author |
Hansen, Brage Bremset Pedersen, Åshild Ønvik Peeters, Bart Le Moullec, Mathilde Albon, Steve D. Herfindal, Ivar Sæther, Bernt‐Erik Grøtan, Vidar Aanes, Ronny |
author_facet |
Hansen, Brage Bremset Pedersen, Åshild Ønvik Peeters, Bart Le Moullec, Mathilde Albon, Steve D. Herfindal, Ivar Sæther, Bernt‐Erik Grøtan, Vidar Aanes, Ronny |
author_sort |
Hansen, Brage Bremset |
title |
Spatial heterogeneity in climate change effects decouples the long‐term dynamics of wild reindeer populations in the high Arctic |
title_short |
Spatial heterogeneity in climate change effects decouples the long‐term dynamics of wild reindeer populations in the high Arctic |
title_full |
Spatial heterogeneity in climate change effects decouples the long‐term dynamics of wild reindeer populations in the high Arctic |
title_fullStr |
Spatial heterogeneity in climate change effects decouples the long‐term dynamics of wild reindeer populations in the high Arctic |
title_full_unstemmed |
Spatial heterogeneity in climate change effects decouples the long‐term dynamics of wild reindeer populations in the high Arctic |
title_sort |
spatial heterogeneity in climate change effects decouples the long‐term dynamics of wild reindeer populations in the high arctic |
publisher |
John Wiley and Sons Inc. |
publishDate |
2019 |
url |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6851690/ http://www.ncbi.nlm.nih.gov/pubmed/31435996 https://doi.org/10.1111/gcb.14761 |
geographic |
Arctic Svalbard |
geographic_facet |
Arctic Svalbard |
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Arctic Climate change Svalbard |
genre_facet |
Arctic Climate change Svalbard |
op_relation |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6851690/ http://www.ncbi.nlm.nih.gov/pubmed/31435996 http://dx.doi.org/10.1111/gcb.14761 |
op_rights |
© 2019 The Authors. Global Change Biology Published by John Wiley & Sons Ltd This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
op_rightsnorm |
CC-BY-NC |
op_doi |
https://doi.org/10.1111/gcb.14761 |
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Global Change Biology |
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25 |
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11 |
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3668 |
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