Accounting for species interactions is necessary for predicting how arctic arthropod communities respond to climate change
Species interactions are known to structure ecological communities. Still, the influence of climate change on biodiversity has primarily been evaluated by correlating individual species distributions with local climatic descriptors, then extrapolating into future climate scenarios. We ask whether pr...
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Online Access: | http://dx.doi.org/10.1111/ecog.05547 https://onlinelibrary.wiley.com/doi/pdf/10.1111/ecog.05547 https://onlinelibrary.wiley.com/doi/full-xml/10.1111/ecog.05547 |
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crwiley:10.1111/ecog.05547 2024-06-23T07:49:57+00:00 Accounting for species interactions is necessary for predicting how arctic arthropod communities respond to climate change Abrego, Nerea Roslin, Tomas Huotari, Tea Ji, Yinqiu Schmidt, Niels Martin Wang, Jiaxin Yu, Douglas W. Ovaskainen, Otso 2021 http://dx.doi.org/10.1111/ecog.05547 https://onlinelibrary.wiley.com/doi/pdf/10.1111/ecog.05547 https://onlinelibrary.wiley.com/doi/full-xml/10.1111/ecog.05547 en eng Wiley http://creativecommons.org/licenses/by/3.0/ Ecography volume 44, issue 6, page 885-896 ISSN 0906-7590 1600-0587 journal-article 2021 crwiley https://doi.org/10.1111/ecog.05547 2024-06-04T06:39:07Z Species interactions are known to structure ecological communities. Still, the influence of climate change on biodiversity has primarily been evaluated by correlating individual species distributions with local climatic descriptors, then extrapolating into future climate scenarios. We ask whether predictions on arctic arthropod response to climate change can be improved by accounting for species interactions. For this, we use a 14‐year‐long, weekly time series from Greenland, resolved to the species level by mitogenome mapping. During the study period, temperature increased by 2°C and arthropod species richness halved. We show that with abiotic variables alone, we are essentially unable to predict species responses, but with species interactions included, the predictive power of the models improves considerably. Cascading trophic effects thereby emerge as important in structuring biodiversity response to climate change. Given the need to scale up from species‐level to community‐level projections of biodiversity change, these results represent a major step forward for predictive ecology. Article in Journal/Newspaper Arctic Climate change Greenland Wiley Online Library Arctic Greenland Ecography 44 6 885 896 |
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Wiley Online Library |
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crwiley |
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English |
description |
Species interactions are known to structure ecological communities. Still, the influence of climate change on biodiversity has primarily been evaluated by correlating individual species distributions with local climatic descriptors, then extrapolating into future climate scenarios. We ask whether predictions on arctic arthropod response to climate change can be improved by accounting for species interactions. For this, we use a 14‐year‐long, weekly time series from Greenland, resolved to the species level by mitogenome mapping. During the study period, temperature increased by 2°C and arthropod species richness halved. We show that with abiotic variables alone, we are essentially unable to predict species responses, but with species interactions included, the predictive power of the models improves considerably. Cascading trophic effects thereby emerge as important in structuring biodiversity response to climate change. Given the need to scale up from species‐level to community‐level projections of biodiversity change, these results represent a major step forward for predictive ecology. |
format |
Article in Journal/Newspaper |
author |
Abrego, Nerea Roslin, Tomas Huotari, Tea Ji, Yinqiu Schmidt, Niels Martin Wang, Jiaxin Yu, Douglas W. Ovaskainen, Otso |
spellingShingle |
Abrego, Nerea Roslin, Tomas Huotari, Tea Ji, Yinqiu Schmidt, Niels Martin Wang, Jiaxin Yu, Douglas W. Ovaskainen, Otso Accounting for species interactions is necessary for predicting how arctic arthropod communities respond to climate change |
author_facet |
Abrego, Nerea Roslin, Tomas Huotari, Tea Ji, Yinqiu Schmidt, Niels Martin Wang, Jiaxin Yu, Douglas W. Ovaskainen, Otso |
author_sort |
Abrego, Nerea |
title |
Accounting for species interactions is necessary for predicting how arctic arthropod communities respond to climate change |
title_short |
Accounting for species interactions is necessary for predicting how arctic arthropod communities respond to climate change |
title_full |
Accounting for species interactions is necessary for predicting how arctic arthropod communities respond to climate change |
title_fullStr |
Accounting for species interactions is necessary for predicting how arctic arthropod communities respond to climate change |
title_full_unstemmed |
Accounting for species interactions is necessary for predicting how arctic arthropod communities respond to climate change |
title_sort |
accounting for species interactions is necessary for predicting how arctic arthropod communities respond to climate change |
publisher |
Wiley |
publishDate |
2021 |
url |
http://dx.doi.org/10.1111/ecog.05547 https://onlinelibrary.wiley.com/doi/pdf/10.1111/ecog.05547 https://onlinelibrary.wiley.com/doi/full-xml/10.1111/ecog.05547 |
geographic |
Arctic Greenland |
geographic_facet |
Arctic Greenland |
genre |
Arctic Climate change Greenland |
genre_facet |
Arctic Climate change Greenland |
op_source |
Ecography volume 44, issue 6, page 885-896 ISSN 0906-7590 1600-0587 |
op_rights |
http://creativecommons.org/licenses/by/3.0/ |
op_doi |
https://doi.org/10.1111/ecog.05547 |
container_title |
Ecography |
container_volume |
44 |
container_issue |
6 |
container_start_page |
885 |
op_container_end_page |
896 |
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1802640684306399232 |