Data_Sheet_1_Taxonomic Resolution, Functional Traits, and the Influence of Species Groupings on Mapping Antarctic Seafloor Biodiversity.pdf
Benthic marine biodiversity on the Antarctic continental shelf is high and unique, yet its distributional patterns are still relatively poorly understood. Some of the main issues are that biological data are sparse, and that many species are rare and seem only weakly related to environmental conditi...
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ftfrontimediafig:oai:figshare.com:article/6634544 2023-05-15T13:53:43+02:00 Data_Sheet_1_Taxonomic Resolution, Functional Traits, and the Influence of Species Groupings on Mapping Antarctic Seafloor Biodiversity.pdf Jan Jansen Nicole A. Hill Piers K. Dunstan Marc P. Eléaume Craig R. Johnson 2018-06-21T13:18:44Z https://doi.org/10.3389/fevo.2018.00081.s001 https://figshare.com/articles/Data_Sheet_1_Taxonomic_Resolution_Functional_Traits_and_the_Influence_of_Species_Groupings_on_Mapping_Antarctic_Seafloor_Biodiversity_pdf/6634544 unknown doi:10.3389/fevo.2018.00081.s001 https://figshare.com/articles/Data_Sheet_1_Taxonomic_Resolution_Functional_Traits_and_the_Influence_of_Species_Groupings_on_Mapping_Antarctic_Seafloor_Biodiversity_pdf/6634544 CC BY 4.0 CC-BY Evolutionary Biology Ecology Invasive Species Ecology Landscape Ecology Conservation and Biodiversity Behavioural Ecology Community Ecology (excl. Invasive Species Ecology) Ecological Physiology Freshwater Ecology Marine and Estuarine Ecology (incl. Marine Ichthyology) Population Ecology Terrestrial Ecology marine biodiversity Southern Ocean functional trait taxonomic resolution species archetype model species distribution Antarctica benthic assemblages Dataset 2018 ftfrontimediafig https://doi.org/10.3389/fevo.2018.00081.s001 2018-06-27T22:57:48Z Benthic marine biodiversity on the Antarctic continental shelf is high and unique, yet its distributional patterns are still relatively poorly understood. Some of the main issues are that biological data are sparse, and that many species are rare and seem only weakly related to environmental conditions. Grouping species by taxonomic or functional similarity has historically been used to compensate for missing species identification, to generate a more widespread distribution of data-points, and this practice can help to gain a better understanding of the distribution of biodiversity. However, there are few guidelines on how to group species, the implicit assumptions about species associations in the groups are difficult to validate, and the information loss associated with grouping species is unknown. Here, we analyse whether grouping benthic macrofaunal species by taxonomic or functional similarity preserves distributional patterns seen in species distributions, using a model-based approach called “species archetype model” that groups species or other units based on the similarity in their responses to environmental factors. Using presence-absence data, the species archetype models identify twice as many assemblages when used on the highest taxonomic resolution data, than when applied to taxonomic data at lower resolution (e.g., class) or functional groups based on mobility, feeding type, and body shape. Further, confidence in the predictions of either taxonomic or functional groups is far less than for predictions based on the highest taxonomic resolution data. Although using functional groups is often thought to accumulate species with similar environmental responses, our analysis shows that functional groups may insufficiently resolve assemblage structure for presence-absence data. Model-based approaches provide key information to understanding the regional distribution of Antarctic marine biodiversity, and care needs to be taken when using a-priori groupings of species to make statements about the ... Dataset Antarc* Antarctic Antarctica Southern Ocean Frontiers: Figshare Antarctic Southern Ocean The Antarctic |
institution |
Open Polar |
collection |
Frontiers: Figshare |
op_collection_id |
ftfrontimediafig |
language |
unknown |
topic |
Evolutionary Biology Ecology Invasive Species Ecology Landscape Ecology Conservation and Biodiversity Behavioural Ecology Community Ecology (excl. Invasive Species Ecology) Ecological Physiology Freshwater Ecology Marine and Estuarine Ecology (incl. Marine Ichthyology) Population Ecology Terrestrial Ecology marine biodiversity Southern Ocean functional trait taxonomic resolution species archetype model species distribution Antarctica benthic assemblages |
spellingShingle |
Evolutionary Biology Ecology Invasive Species Ecology Landscape Ecology Conservation and Biodiversity Behavioural Ecology Community Ecology (excl. Invasive Species Ecology) Ecological Physiology Freshwater Ecology Marine and Estuarine Ecology (incl. Marine Ichthyology) Population Ecology Terrestrial Ecology marine biodiversity Southern Ocean functional trait taxonomic resolution species archetype model species distribution Antarctica benthic assemblages Jan Jansen Nicole A. Hill Piers K. Dunstan Marc P. Eléaume Craig R. Johnson Data_Sheet_1_Taxonomic Resolution, Functional Traits, and the Influence of Species Groupings on Mapping Antarctic Seafloor Biodiversity.pdf |
topic_facet |
Evolutionary Biology Ecology Invasive Species Ecology Landscape Ecology Conservation and Biodiversity Behavioural Ecology Community Ecology (excl. Invasive Species Ecology) Ecological Physiology Freshwater Ecology Marine and Estuarine Ecology (incl. Marine Ichthyology) Population Ecology Terrestrial Ecology marine biodiversity Southern Ocean functional trait taxonomic resolution species archetype model species distribution Antarctica benthic assemblages |
description |
Benthic marine biodiversity on the Antarctic continental shelf is high and unique, yet its distributional patterns are still relatively poorly understood. Some of the main issues are that biological data are sparse, and that many species are rare and seem only weakly related to environmental conditions. Grouping species by taxonomic or functional similarity has historically been used to compensate for missing species identification, to generate a more widespread distribution of data-points, and this practice can help to gain a better understanding of the distribution of biodiversity. However, there are few guidelines on how to group species, the implicit assumptions about species associations in the groups are difficult to validate, and the information loss associated with grouping species is unknown. Here, we analyse whether grouping benthic macrofaunal species by taxonomic or functional similarity preserves distributional patterns seen in species distributions, using a model-based approach called “species archetype model” that groups species or other units based on the similarity in their responses to environmental factors. Using presence-absence data, the species archetype models identify twice as many assemblages when used on the highest taxonomic resolution data, than when applied to taxonomic data at lower resolution (e.g., class) or functional groups based on mobility, feeding type, and body shape. Further, confidence in the predictions of either taxonomic or functional groups is far less than for predictions based on the highest taxonomic resolution data. Although using functional groups is often thought to accumulate species with similar environmental responses, our analysis shows that functional groups may insufficiently resolve assemblage structure for presence-absence data. Model-based approaches provide key information to understanding the regional distribution of Antarctic marine biodiversity, and care needs to be taken when using a-priori groupings of species to make statements about the ... |
format |
Dataset |
author |
Jan Jansen Nicole A. Hill Piers K. Dunstan Marc P. Eléaume Craig R. Johnson |
author_facet |
Jan Jansen Nicole A. Hill Piers K. Dunstan Marc P. Eléaume Craig R. Johnson |
author_sort |
Jan Jansen |
title |
Data_Sheet_1_Taxonomic Resolution, Functional Traits, and the Influence of Species Groupings on Mapping Antarctic Seafloor Biodiversity.pdf |
title_short |
Data_Sheet_1_Taxonomic Resolution, Functional Traits, and the Influence of Species Groupings on Mapping Antarctic Seafloor Biodiversity.pdf |
title_full |
Data_Sheet_1_Taxonomic Resolution, Functional Traits, and the Influence of Species Groupings on Mapping Antarctic Seafloor Biodiversity.pdf |
title_fullStr |
Data_Sheet_1_Taxonomic Resolution, Functional Traits, and the Influence of Species Groupings on Mapping Antarctic Seafloor Biodiversity.pdf |
title_full_unstemmed |
Data_Sheet_1_Taxonomic Resolution, Functional Traits, and the Influence of Species Groupings on Mapping Antarctic Seafloor Biodiversity.pdf |
title_sort |
data_sheet_1_taxonomic resolution, functional traits, and the influence of species groupings on mapping antarctic seafloor biodiversity.pdf |
publishDate |
2018 |
url |
https://doi.org/10.3389/fevo.2018.00081.s001 https://figshare.com/articles/Data_Sheet_1_Taxonomic_Resolution_Functional_Traits_and_the_Influence_of_Species_Groupings_on_Mapping_Antarctic_Seafloor_Biodiversity_pdf/6634544 |
geographic |
Antarctic Southern Ocean The Antarctic |
geographic_facet |
Antarctic Southern Ocean The Antarctic |
genre |
Antarc* Antarctic Antarctica Southern Ocean |
genre_facet |
Antarc* Antarctic Antarctica Southern Ocean |
op_relation |
doi:10.3389/fevo.2018.00081.s001 https://figshare.com/articles/Data_Sheet_1_Taxonomic_Resolution_Functional_Traits_and_the_Influence_of_Species_Groupings_on_Mapping_Antarctic_Seafloor_Biodiversity_pdf/6634544 |
op_rights |
CC BY 4.0 |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.3389/fevo.2018.00081.s001 |
_version_ |
1766259091451150336 |