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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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Autores principales: Hansen, Brage Bremset, Pedersen, Åshild Ønvik, Peeters, Bart, Le Moullec, Mathilde, Albon, Steve D., Herfindal, Ivar, Sæther, Bernt‐Erik, Grøtan, Vidar, Aanes, Ronny
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6851690/
https://www.ncbi.nlm.nih.gov/pubmed/31435996
http://dx.doi.org/10.1111/gcb.14761
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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
collection PubMed
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 climatic drivers can be buffered by spatial heterogeneity in the same drivers, as well as in the ecological responses, averaging out climate change effects at larger spatial scales.
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spelling pubmed-68516902019-11-18 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 Glob Chang Biol Primary Research Articles 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 climatic drivers can be buffered by spatial heterogeneity in the same drivers, as well as in the ecological responses, averaging out climate change effects at larger spatial scales. John Wiley and Sons Inc. 2019-08-21 2019-11 /pmc/articles/PMC6851690/ /pubmed/31435996 http://dx.doi.org/10.1111/gcb.14761 Text en © 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.
spellingShingle 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
title 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_short 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
topic Primary Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6851690/
https://www.ncbi.nlm.nih.gov/pubmed/31435996
http://dx.doi.org/10.1111/gcb.14761
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