Data and code from: 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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ftzenodo:oai:zenodo.org:4594643 2024-09-15T18:02:10+00:00 Data and code from: Accounting for species interactions is necessary for predicting how arctic arthropod communities respond to climate change Abrego, Nerea Roslin, Tomas Huotari, Tea Ji, Yinqiu Schmid, Niels Martin Wang, Jiaxin Yu, Douglas W. Ovaskainen, Otso 2021-03-10 https://doi.org/10.5061/dryad.cc2fqz65p unknown Zenodo https://zenodo.org/communities/dryad https://doi.org/10.5061/dryad.cc2fqz65p oai:zenodo.org:4594643 info:eu-repo/semantics/openAccess Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode info:eu-repo/semantics/other 2021 ftzenodo https://doi.org/10.5061/dryad.cc2fqz65p 2024-07-25T18:12:47Z 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. The data and code include a README.txt file, which contains the instructions for how to replicate the analyses of Abrego et al (2021) Accounting for species interactions is necessary for predicting how arctic arthropod communities respond to climate change. Ecography Other/Unknown Material Climate change Greenland Zenodo |
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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. The data and code include a README.txt file, which contains the instructions for how to replicate the analyses of Abrego et al (2021) Accounting for species interactions is necessary for predicting how arctic arthropod communities respond to climate change. Ecography |
format |
Other/Unknown Material |
author |
Abrego, Nerea Roslin, Tomas Huotari, Tea Ji, Yinqiu Schmid, Niels Martin Wang, Jiaxin Yu, Douglas W. Ovaskainen, Otso |
spellingShingle |
Abrego, Nerea Roslin, Tomas Huotari, Tea Ji, Yinqiu Schmid, Niels Martin Wang, Jiaxin Yu, Douglas W. Ovaskainen, Otso Data and code from: 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 Schmid, Niels Martin Wang, Jiaxin Yu, Douglas W. Ovaskainen, Otso |
author_sort |
Abrego, Nerea |
title |
Data and code from: Accounting for species interactions is necessary for predicting how arctic arthropod communities respond to climate change |
title_short |
Data and code from: Accounting for species interactions is necessary for predicting how arctic arthropod communities respond to climate change |
title_full |
Data and code from: Accounting for species interactions is necessary for predicting how arctic arthropod communities respond to climate change |
title_fullStr |
Data and code from: Accounting for species interactions is necessary for predicting how arctic arthropod communities respond to climate change |
title_full_unstemmed |
Data and code from: Accounting for species interactions is necessary for predicting how arctic arthropod communities respond to climate change |
title_sort |
data and code from: accounting for species interactions is necessary for predicting how arctic arthropod communities respond to climate change |
publisher |
Zenodo |
publishDate |
2021 |
url |
https://doi.org/10.5061/dryad.cc2fqz65p |
genre |
Climate change Greenland |
genre_facet |
Climate change Greenland |
op_relation |
https://zenodo.org/communities/dryad https://doi.org/10.5061/dryad.cc2fqz65p oai:zenodo.org:4594643 |
op_rights |
info:eu-repo/semantics/openAccess Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode |
op_doi |
https://doi.org/10.5061/dryad.cc2fqz65p |
_version_ |
1810439475010994176 |