Accounting for Uncertainties in Biodiversity Estimations: A New Methodology and Its Application to the Mesopelagic Sound Scattering Layer of the High Arctic
Measures of biological diversity (biodiversity) are important for monitoring the state of ecosystems. Several indices and methods are used to describe biodiversity from field observations. Marine faunal biodiversity is often quantified based on analysis of samples collected using a trawl during rese...
Published in: | Frontiers in Ecology and Evolution |
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Language: | English |
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Online Access: | https://hdl.handle.net/11250/3033043 https://doi.org/10.3389/fevo.2022.775759 |
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ftntnutrondheimi:oai:ntnuopen.ntnu.no:11250/3033043 2023-05-15T14:57:15+02:00 Accounting for Uncertainties in Biodiversity Estimations: A New Methodology and Its Application to the Mesopelagic Sound Scattering Layer of the High Arctic Herrmann, Bent Cerbule, Kristine Brčić, Jure Grimaldo Vela, Eduardo Enrique Geoffroy, Maxime Daase, Malin Berge, Jørgen 2022 application/pdf https://hdl.handle.net/11250/3033043 https://doi.org/10.3389/fevo.2022.775759 eng eng Frontiers Media Frontiers in Ecology and Evolution. 2022, 10 . urn:issn:2296-701X https://hdl.handle.net/11250/3033043 https://doi.org/10.3389/fevo.2022.775759 cristin:2044599 Navngivelse 4.0 Internasjonal http://creativecommons.org/licenses/by/4.0/deed.no CC-BY 14 10 Frontiers in Ecology and Evolution Peer reviewed Journal article 2022 ftntnutrondheimi https://doi.org/10.3389/fevo.2022.775759 2022-11-23T23:42:28Z Measures of biological diversity (biodiversity) are important for monitoring the state of ecosystems. Several indices and methods are used to describe biodiversity from field observations. Marine faunal biodiversity is often quantified based on analysis of samples collected using a trawl during research surveys. To monitor spatial and temporal changes in biodiversity between surveys, samples are generally collected from a series of stations. Inference regarding changes in biodiversity must account for uncertainties in the estimation of the values for the different biodiversity indices used. Estimation for a single station is affected by spatial-temporal variation in the species composition in the area and by uncertainty due to the finite sample size taken by the trawl. Therefore, variation between stations needs to be accounted for when estimating uncertainty for values of different indices during a survey as total or as mean for the survey. Herein, we present a method based on nested bootstrapping that accounts for uncertainties in the estimation of various indices and which can be used to infer changes in biodiversity. Application of this methodology is demonstrated using data collected in the mesopelagic sound scattering layer in the high Arctic. publishedVersion Article in Journal/Newspaper Arctic NTNU Open Archive (Norwegian University of Science and Technology) Arctic Frontiers in Ecology and Evolution 10 |
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Open Polar |
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NTNU Open Archive (Norwegian University of Science and Technology) |
op_collection_id |
ftntnutrondheimi |
language |
English |
description |
Measures of biological diversity (biodiversity) are important for monitoring the state of ecosystems. Several indices and methods are used to describe biodiversity from field observations. Marine faunal biodiversity is often quantified based on analysis of samples collected using a trawl during research surveys. To monitor spatial and temporal changes in biodiversity between surveys, samples are generally collected from a series of stations. Inference regarding changes in biodiversity must account for uncertainties in the estimation of the values for the different biodiversity indices used. Estimation for a single station is affected by spatial-temporal variation in the species composition in the area and by uncertainty due to the finite sample size taken by the trawl. Therefore, variation between stations needs to be accounted for when estimating uncertainty for values of different indices during a survey as total or as mean for the survey. Herein, we present a method based on nested bootstrapping that accounts for uncertainties in the estimation of various indices and which can be used to infer changes in biodiversity. Application of this methodology is demonstrated using data collected in the mesopelagic sound scattering layer in the high Arctic. publishedVersion |
format |
Article in Journal/Newspaper |
author |
Herrmann, Bent Cerbule, Kristine Brčić, Jure Grimaldo Vela, Eduardo Enrique Geoffroy, Maxime Daase, Malin Berge, Jørgen |
spellingShingle |
Herrmann, Bent Cerbule, Kristine Brčić, Jure Grimaldo Vela, Eduardo Enrique Geoffroy, Maxime Daase, Malin Berge, Jørgen Accounting for Uncertainties in Biodiversity Estimations: A New Methodology and Its Application to the Mesopelagic Sound Scattering Layer of the High Arctic |
author_facet |
Herrmann, Bent Cerbule, Kristine Brčić, Jure Grimaldo Vela, Eduardo Enrique Geoffroy, Maxime Daase, Malin Berge, Jørgen |
author_sort |
Herrmann, Bent |
title |
Accounting for Uncertainties in Biodiversity Estimations: A New Methodology and Its Application to the Mesopelagic Sound Scattering Layer of the High Arctic |
title_short |
Accounting for Uncertainties in Biodiversity Estimations: A New Methodology and Its Application to the Mesopelagic Sound Scattering Layer of the High Arctic |
title_full |
Accounting for Uncertainties in Biodiversity Estimations: A New Methodology and Its Application to the Mesopelagic Sound Scattering Layer of the High Arctic |
title_fullStr |
Accounting for Uncertainties in Biodiversity Estimations: A New Methodology and Its Application to the Mesopelagic Sound Scattering Layer of the High Arctic |
title_full_unstemmed |
Accounting for Uncertainties in Biodiversity Estimations: A New Methodology and Its Application to the Mesopelagic Sound Scattering Layer of the High Arctic |
title_sort |
accounting for uncertainties in biodiversity estimations: a new methodology and its application to the mesopelagic sound scattering layer of the high arctic |
publisher |
Frontiers Media |
publishDate |
2022 |
url |
https://hdl.handle.net/11250/3033043 https://doi.org/10.3389/fevo.2022.775759 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
14 10 Frontiers in Ecology and Evolution |
op_relation |
Frontiers in Ecology and Evolution. 2022, 10 . urn:issn:2296-701X https://hdl.handle.net/11250/3033043 https://doi.org/10.3389/fevo.2022.775759 cristin:2044599 |
op_rights |
Navngivelse 4.0 Internasjonal http://creativecommons.org/licenses/by/4.0/deed.no |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.3389/fevo.2022.775759 |
container_title |
Frontiers in Ecology and Evolution |
container_volume |
10 |
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1766329338820558848 |