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...

Full description

Bibliographic Details
Published in:Frontiers in Ecology and Evolution
Main Authors: Herrmann, Bent, Cerbule, Kristine, Brčić, Jure, Grimaldo, Eduardo, Geoffroy, Maxime, Daase, Malin, Berge, Jørgen
Format: Article in Journal/Newspaper
Language:English
Published: 2022
Subjects:
Online Access:https://orbit.dtu.dk/en/publications/ef594a4f-8fda-4c94-a7ee-e0b1231ba9d1
https://doi.org/10.3389/fevo.2022.775759
https://backend.orbit.dtu.dk/ws/files/277419448/fevo_10_775759.pdf
id ftdtupubl:oai:pure.atira.dk:publications/ef594a4f-8fda-4c94-a7ee-e0b1231ba9d1
record_format openpolar
spelling ftdtupubl:oai:pure.atira.dk:publications/ef594a4f-8fda-4c94-a7ee-e0b1231ba9d1 2024-09-15T17:50:57+00:00 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, Eduardo Geoffroy, Maxime Daase, Malin Berge, Jørgen 2022 application/pdf https://orbit.dtu.dk/en/publications/ef594a4f-8fda-4c94-a7ee-e0b1231ba9d1 https://doi.org/10.3389/fevo.2022.775759 https://backend.orbit.dtu.dk/ws/files/277419448/fevo_10_775759.pdf eng eng https://orbit.dtu.dk/en/publications/ef594a4f-8fda-4c94-a7ee-e0b1231ba9d1 info:eu-repo/semantics/openAccess Herrmann , B , Cerbule , K , Brčić , J , Grimaldo , E , Geoffroy , M , Daase , M & Berge , J 2022 , ' Accounting for Uncertainties in Biodiversity Estimations: A New Methodology and Its Application to the Mesopelagic Sound Scattering Layer of the High Arctic ' , Frontiers in Ecology and Evolution , vol. 10 , 775759 . https://doi.org/10.3389/fevo.2022.775759 Uncertainty Sound scattering layer Mesopelagic Bootstrapping Biodiversity indices Arctic /dk/atira/pure/sustainabledevelopmentgoals/life_below_water name=SDG 14 - Life Below Water article 2022 ftdtupubl https://doi.org/10.3389/fevo.2022.775759 2024-08-13T00:03:06Z 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. Article in Journal/Newspaper Arctic Technical University of Denmark: DTU Orbit Frontiers in Ecology and Evolution 10
institution Open Polar
collection Technical University of Denmark: DTU Orbit
op_collection_id ftdtupubl
language English
topic Uncertainty
Sound scattering layer
Mesopelagic
Bootstrapping
Biodiversity indices
Arctic
/dk/atira/pure/sustainabledevelopmentgoals/life_below_water
name=SDG 14 - Life Below Water
spellingShingle Uncertainty
Sound scattering layer
Mesopelagic
Bootstrapping
Biodiversity indices
Arctic
/dk/atira/pure/sustainabledevelopmentgoals/life_below_water
name=SDG 14 - Life Below Water
Herrmann, Bent
Cerbule, Kristine
Brčić, Jure
Grimaldo, Eduardo
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
topic_facet Uncertainty
Sound scattering layer
Mesopelagic
Bootstrapping
Biodiversity indices
Arctic
/dk/atira/pure/sustainabledevelopmentgoals/life_below_water
name=SDG 14 - Life Below Water
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.
format Article in Journal/Newspaper
author Herrmann, Bent
Cerbule, Kristine
Brčić, Jure
Grimaldo, Eduardo
Geoffroy, Maxime
Daase, Malin
Berge, Jørgen
author_facet Herrmann, Bent
Cerbule, Kristine
Brčić, Jure
Grimaldo, Eduardo
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
publishDate 2022
url https://orbit.dtu.dk/en/publications/ef594a4f-8fda-4c94-a7ee-e0b1231ba9d1
https://doi.org/10.3389/fevo.2022.775759
https://backend.orbit.dtu.dk/ws/files/277419448/fevo_10_775759.pdf
genre Arctic
genre_facet Arctic
op_source Herrmann , B , Cerbule , K , Brčić , J , Grimaldo , E , Geoffroy , M , Daase , M & Berge , J 2022 , ' Accounting for Uncertainties in Biodiversity Estimations: A New Methodology and Its Application to the Mesopelagic Sound Scattering Layer of the High Arctic ' , Frontiers in Ecology and Evolution , vol. 10 , 775759 . https://doi.org/10.3389/fevo.2022.775759
op_relation https://orbit.dtu.dk/en/publications/ef594a4f-8fda-4c94-a7ee-e0b1231ba9d1
op_rights info:eu-repo/semantics/openAccess
op_doi https://doi.org/10.3389/fevo.2022.775759
container_title Frontiers in Ecology and Evolution
container_volume 10
_version_ 1810292752359882752