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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Language: | English |
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2021
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Online Access: | https://pure.au.dk/portal/en/publications/a4791be0-cf68-478d-a8e9-240141d4d4eb https://doi.org/10.1111/ecog.05547 |
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ftuniaarhuspubl:oai:pure.atira.dk:publications/a4791be0-cf68-478d-a8e9-240141d4d4eb 2024-02-11T09:59:32+01:00 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, J. Yu, Douglas W Ovaskainen, Otso 2021-06 https://pure.au.dk/portal/en/publications/a4791be0-cf68-478d-a8e9-240141d4d4eb https://doi.org/10.1111/ecog.05547 eng eng https://pure.au.dk/portal/en/publications/a4791be0-cf68-478d-a8e9-240141d4d4eb info:eu-repo/semantics/openAccess Abrego , N , Roslin , T , Huotari , T , Ji , Y , Schmidt , N M , Wang , J , Yu , D W & Ovaskainen , O 2021 , ' Accounting for species interactions is necessary for predicting how arctic arthropod communities respond to climate change ' , Ecography , vol. 44 , no. 6 , pp. 885-896 . https://doi.org/10.1111/ecog.05547 Arctic Arthropoda climate change community assembly food web joint species distribution model trophic cascade article 2021 ftuniaarhuspubl https://doi.org/10.1111/ecog.05547 2024-01-18T00:00:32Z 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 Arctic Climate change Greenland Aarhus University: Research Arctic Greenland Ecography 44 6 885 896 |
institution |
Open Polar |
collection |
Aarhus University: Research |
op_collection_id |
ftuniaarhuspubl |
language |
English |
topic |
Arctic Arthropoda climate change community assembly food web joint species distribution model trophic cascade |
spellingShingle |
Arctic Arthropoda climate change community assembly food web joint species distribution model trophic cascade Abrego, Nerea Roslin, Tomas Huotari, Tea Ji, Yinqiu Schmidt, Niels Martin Wang, J. Yu, Douglas W Ovaskainen, Otso Accounting for species interactions is necessary for predicting how arctic arthropod communities respond to climate change |
topic_facet |
Arctic Arthropoda climate change community assembly food web joint species distribution model trophic cascade |
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, J. Yu, Douglas W Ovaskainen, Otso |
author_facet |
Abrego, Nerea Roslin, Tomas Huotari, Tea Ji, Yinqiu Schmidt, Niels Martin Wang, J. 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 |
publishDate |
2021 |
url |
https://pure.au.dk/portal/en/publications/a4791be0-cf68-478d-a8e9-240141d4d4eb https://doi.org/10.1111/ecog.05547 |
geographic |
Arctic Greenland |
geographic_facet |
Arctic Greenland |
genre |
Arctic Arctic Climate change Greenland |
genre_facet |
Arctic Arctic Climate change Greenland |
op_source |
Abrego , N , Roslin , T , Huotari , T , Ji , Y , Schmidt , N M , Wang , J , Yu , D W & Ovaskainen , O 2021 , ' Accounting for species interactions is necessary for predicting how arctic arthropod communities respond to climate change ' , Ecography , vol. 44 , no. 6 , pp. 885-896 . https://doi.org/10.1111/ecog.05547 |
op_relation |
https://pure.au.dk/portal/en/publications/a4791be0-cf68-478d-a8e9-240141d4d4eb |
op_rights |
info:eu-repo/semantics/openAccess |
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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1790595395094577152 |