Antarctic biodiversity predictions through substrate qualities and environmental DNA
Antarctic conservation science is crucial for enhancing Antarctic policy and understanding alterations to terrestrial Antarctic biodiversity. Antarctic conservation will have limited long-term impacts in the absence of large-scale biodiversity data, but if such data were available, it is likely to i...
Published in: | Frontiers in Ecology and the Environment |
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Online Access: | https://hdl.handle.net/2440/137664 https://doi.org/10.1002/fee.2560 |
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ftunivadelaidedl:oai:digital.library.adelaide.edu.au:2440/137664 2023-12-17T10:20:15+01:00 Antarctic biodiversity predictions through substrate qualities and environmental DNA Czechowski, P. de Lange, M. Knapp, M. Terauds, A. Stevens, M.I. 2022 application/pdf https://hdl.handle.net/2440/137664 https://doi.org/10.1002/fee.2560 en eng WILEY http://purl.org/au-research/grants/arc/LP0991985 http://purl.org/au-research/grants/arc/SR200100005 Frontiers in Ecology and the Environment, 2022; 20(10):550-557 1540-9295 1540-9309 https://hdl.handle.net/2440/137664 doi:10.1002/fee.2560 Stevens, M.I. [0000-0003-1505-1639] © 2022 The Authors. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. http://dx.doi.org/10.1002/fee.2560 Journal article 2022 ftunivadelaidedl https://doi.org/10.1002/fee.2560 2023-11-20T23:27:47Z Antarctic conservation science is crucial for enhancing Antarctic policy and understanding alterations to terrestrial Antarctic biodiversity. Antarctic conservation will have limited long-term impacts in the absence of large-scale biodiversity data, but if such data were available, it is likely to improve environmental protection regimes. To enable the prediction of Antarctic biodiversity across continental spatial scales through proxy variables, in the absence of baseline surveys, we linked Antarctic substrate-derived environmental DNA (eDNA) sequence data from the remote Antarctic Prince Charles Mountains to a selected range of concomitantly collected measurements of substrate properties. We achieved this through application of a statistical method commonly used in machine learning. Our analysis indicated that neutral substrate pH, low conductivity, and certain substrate minerals are important predictors of the presence of basidiomycetes, chlorophytes, ciliophorans, nematodes, and tardigrades. A bootstrapped regression revealed how variations in the identified substrate parameters influence probabilities of detecting eukaryote phyla across vast and remote areas of Antarctica. We believe that our work will improve future taxon distribution modeling and aid in developing more targeted surveys of biodiversity conducted under logistically challenging conditions. Paul Czechowski, Michel de Lange, Michael Knapp, Aleks Terauds, and Mark I Stevens Article in Journal/Newspaper Antarc* Antarctic Antarctica Prince Charles Mountains The University of Adelaide: Digital Library Antarctic Prince Charles Mountains ENVELOPE(67.246,67.246,-71.427,-71.427) Frontiers in Ecology and the Environment 20 10 550 557 |
institution |
Open Polar |
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The University of Adelaide: Digital Library |
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ftunivadelaidedl |
language |
English |
description |
Antarctic conservation science is crucial for enhancing Antarctic policy and understanding alterations to terrestrial Antarctic biodiversity. Antarctic conservation will have limited long-term impacts in the absence of large-scale biodiversity data, but if such data were available, it is likely to improve environmental protection regimes. To enable the prediction of Antarctic biodiversity across continental spatial scales through proxy variables, in the absence of baseline surveys, we linked Antarctic substrate-derived environmental DNA (eDNA) sequence data from the remote Antarctic Prince Charles Mountains to a selected range of concomitantly collected measurements of substrate properties. We achieved this through application of a statistical method commonly used in machine learning. Our analysis indicated that neutral substrate pH, low conductivity, and certain substrate minerals are important predictors of the presence of basidiomycetes, chlorophytes, ciliophorans, nematodes, and tardigrades. A bootstrapped regression revealed how variations in the identified substrate parameters influence probabilities of detecting eukaryote phyla across vast and remote areas of Antarctica. We believe that our work will improve future taxon distribution modeling and aid in developing more targeted surveys of biodiversity conducted under logistically challenging conditions. Paul Czechowski, Michel de Lange, Michael Knapp, Aleks Terauds, and Mark I Stevens |
format |
Article in Journal/Newspaper |
author |
Czechowski, P. de Lange, M. Knapp, M. Terauds, A. Stevens, M.I. |
spellingShingle |
Czechowski, P. de Lange, M. Knapp, M. Terauds, A. Stevens, M.I. Antarctic biodiversity predictions through substrate qualities and environmental DNA |
author_facet |
Czechowski, P. de Lange, M. Knapp, M. Terauds, A. Stevens, M.I. |
author_sort |
Czechowski, P. |
title |
Antarctic biodiversity predictions through substrate qualities and environmental DNA |
title_short |
Antarctic biodiversity predictions through substrate qualities and environmental DNA |
title_full |
Antarctic biodiversity predictions through substrate qualities and environmental DNA |
title_fullStr |
Antarctic biodiversity predictions through substrate qualities and environmental DNA |
title_full_unstemmed |
Antarctic biodiversity predictions through substrate qualities and environmental DNA |
title_sort |
antarctic biodiversity predictions through substrate qualities and environmental dna |
publisher |
WILEY |
publishDate |
2022 |
url |
https://hdl.handle.net/2440/137664 https://doi.org/10.1002/fee.2560 |
long_lat |
ENVELOPE(67.246,67.246,-71.427,-71.427) |
geographic |
Antarctic Prince Charles Mountains |
geographic_facet |
Antarctic Prince Charles Mountains |
genre |
Antarc* Antarctic Antarctica Prince Charles Mountains |
genre_facet |
Antarc* Antarctic Antarctica Prince Charles Mountains |
op_source |
http://dx.doi.org/10.1002/fee.2560 |
op_relation |
http://purl.org/au-research/grants/arc/LP0991985 http://purl.org/au-research/grants/arc/SR200100005 Frontiers in Ecology and the Environment, 2022; 20(10):550-557 1540-9295 1540-9309 https://hdl.handle.net/2440/137664 doi:10.1002/fee.2560 Stevens, M.I. [0000-0003-1505-1639] |
op_rights |
© 2022 The Authors. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
op_doi |
https://doi.org/10.1002/fee.2560 |
container_title |
Frontiers in Ecology and the Environment |
container_volume |
20 |
container_issue |
10 |
container_start_page |
550 |
op_container_end_page |
557 |
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1785590133094875136 |