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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Main Authors: Abrego, Nerea, Roslin, Tomas, Huotari, Tea, Ji, Yinqiu, Schmid, Niels Martin, Wang, Jiaxin, Yu, Douglas W., Ovaskainen, Otso
Format: Dataset
Language:English
Published: Dryad 2021
Subjects:
Online Access:https://dx.doi.org/10.5061/dryad.cc2fqz65p
https://datadryad.org/stash/dataset/doi:10.5061/dryad.cc2fqz65p
id ftdatacite:10.5061/dryad.cc2fqz65p
record_format openpolar
spelling ftdatacite:10.5061/dryad.cc2fqz65p 2024-01-28T10:03:32+01:00 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 https://dx.doi.org/10.5061/dryad.cc2fqz65p https://datadryad.org/stash/dataset/doi:10.5061/dryad.cc2fqz65p en eng Dryad https://dx.doi.org/10.1111/ecog.05547 Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode cc0-1.0 Dataset dataset 2021 ftdatacite https://doi.org/10.5061/dryad.cc2fqz65p10.1111/ecog.05547 2024-01-04T15:12:18Z 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 ... : The data were collected as part of the GEM program in Zackenberg, a High Arctic site located in North-East Greenland (74°28’ N; 20°34’ W). Arthropods were sampled weekly during the growing season from 1997 to 2013, using yellow-pitfall traps located in a mesic heath habitat. The material derives from three traps located 5 meters from each other. The 2010 samples were lost in transit from Greenland, so data from this year are missing. The species data was derived mostly from mitogenome mapping (see Ji et al 2020). The species data were complemented with individually DNA-barcoded samples in the case of samples with few individuals, and data on Diptera species from subsamples that had been identified in an independent morphological study (but had not yet been returned and thus could not be sequenced). The species data is accompanied by functional information in the form of the trophic levels (herbivore, omnivore, parasitoid, predator, saprophage or detritivore). As environmental data, there are data on weekly ... Dataset Arctic Climate change East Greenland Greenland Zackenberg DataCite Metadata Store (German National Library of Science and Technology) Arctic Greenland
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language 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 ... : The data were collected as part of the GEM program in Zackenberg, a High Arctic site located in North-East Greenland (74°28’ N; 20°34’ W). Arthropods were sampled weekly during the growing season from 1997 to 2013, using yellow-pitfall traps located in a mesic heath habitat. The material derives from three traps located 5 meters from each other. The 2010 samples were lost in transit from Greenland, so data from this year are missing. The species data was derived mostly from mitogenome mapping (see Ji et al 2020). The species data were complemented with individually DNA-barcoded samples in the case of samples with few individuals, and data on Diptera species from subsamples that had been identified in an independent morphological study (but had not yet been returned and thus could not be sequenced). The species data is accompanied by functional information in the form of the trophic levels (herbivore, omnivore, parasitoid, predator, saprophage or detritivore). As environmental data, there are data on weekly ...
format Dataset
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 Dryad
publishDate 2021
url https://dx.doi.org/10.5061/dryad.cc2fqz65p
https://datadryad.org/stash/dataset/doi:10.5061/dryad.cc2fqz65p
geographic Arctic
Greenland
geographic_facet Arctic
Greenland
genre Arctic
Climate change
East Greenland
Greenland
Zackenberg
genre_facet Arctic
Climate change
East Greenland
Greenland
Zackenberg
op_relation https://dx.doi.org/10.1111/ecog.05547
op_rights Creative Commons Zero v1.0 Universal
https://creativecommons.org/publicdomain/zero/1.0/legalcode
cc0-1.0
op_doi https://doi.org/10.5061/dryad.cc2fqz65p10.1111/ecog.05547
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