Testing the usefulness of optical data for zooplankton long‐term monitoring: Taxonomic composition, abundance, biomass, and size spectra from <scp>ZooScan</scp> image analysis
Abstract The pelagic ecosystem of the Arctic Ocean is threatened by severe changes such as the reduction in sea‐ice coverage and increased inflow of warmer Atlantic water. The latter is already altering the zooplankton community, highlighting the need for monitoring studies. It is therefore essentia...
Published in: | Limnology and Oceanography: Methods |
---|---|
Main Authors: | , , , , , |
Other Authors: | |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
Wiley
2022
|
Subjects: | |
Online Access: | http://dx.doi.org/10.1002/lom3.10495 https://onlinelibrary.wiley.com/doi/pdf/10.1002/lom3.10495 https://onlinelibrary.wiley.com/doi/full-xml/10.1002/lom3.10495 https://aslopubs.onlinelibrary.wiley.com/doi/pdf/10.1002/lom3.10495 |
id |
crwiley:10.1002/lom3.10495 |
---|---|
record_format |
openpolar |
spelling |
crwiley:10.1002/lom3.10495 2024-04-28T08:09:45+00:00 Testing the usefulness of optical data for zooplankton long‐term monitoring: Taxonomic composition, abundance, biomass, and size spectra from <scp>ZooScan</scp> image analysis Cornils, Astrid Thomisch, Karolin Hase, Joanna Hildebrandt, Nicole Auel, Holger Niehoff, Barbara Bundesministerium für Bildung und Forschung 2022 http://dx.doi.org/10.1002/lom3.10495 https://onlinelibrary.wiley.com/doi/pdf/10.1002/lom3.10495 https://onlinelibrary.wiley.com/doi/full-xml/10.1002/lom3.10495 https://aslopubs.onlinelibrary.wiley.com/doi/pdf/10.1002/lom3.10495 en eng Wiley http://creativecommons.org/licenses/by/4.0/ Limnology and Oceanography: Methods volume 20, issue 7, page 428-450 ISSN 1541-5856 1541-5856 Ocean Engineering journal-article 2022 crwiley https://doi.org/10.1002/lom3.10495 2024-04-08T06:50:55Z Abstract The pelagic ecosystem of the Arctic Ocean is threatened by severe changes such as the reduction in sea‐ice coverage and increased inflow of warmer Atlantic water. The latter is already altering the zooplankton community, highlighting the need for monitoring studies. It is therefore essential to accelerate the taxonomic identification to speed up sample analysis, and to expand the analysis to biomass and size assessments, providing data for modeling efforts. Our case study in Fram Strait illustrates that image‐based analyses with the ZooScan provide abundance data and taxonomic resolutions that are comparable to microscopic analyses and are suitable for zooplankton monitoring purposes in the Arctic. We also show that image analysis allows to differentiate developmental stages of the key species Calanus spp. and Metridia longa and, thus, to study their population dynamics. Our results emphasize that older preserved samples can be successfully reanalyzed with ZooScan. To explore the applicability of image parameters for calculating total mesozooplankton and Calanus spp. biomasses, we used (1) conversion factors (CFs) translating wet mass to dry mass (DM), and (2) length–mass (LM) relationships. For Calanus spp., the calculated biomass values yielded similar results as direct DM measurements. Total mesozooplankton biomass ranged between 1.6 and 15 (LM) or 2.4 and 21 (CF) g DM m −2 , respectively, which corresponds to previous studies in Fram Strait. Ultimately, a normalized biomass size spectra analysis provides 1 st insights into the mesozooplankton size structure at different depths, revealing steep slopes in the linear fit in communities influenced by Atlantic water inflow. Article in Journal/Newspaper Arctic Arctic Ocean Fram Strait Sea ice Zooplankton Wiley Online Library Limnology and Oceanography: Methods 20 7 428 450 |
institution |
Open Polar |
collection |
Wiley Online Library |
op_collection_id |
crwiley |
language |
English |
topic |
Ocean Engineering |
spellingShingle |
Ocean Engineering Cornils, Astrid Thomisch, Karolin Hase, Joanna Hildebrandt, Nicole Auel, Holger Niehoff, Barbara Testing the usefulness of optical data for zooplankton long‐term monitoring: Taxonomic composition, abundance, biomass, and size spectra from <scp>ZooScan</scp> image analysis |
topic_facet |
Ocean Engineering |
description |
Abstract The pelagic ecosystem of the Arctic Ocean is threatened by severe changes such as the reduction in sea‐ice coverage and increased inflow of warmer Atlantic water. The latter is already altering the zooplankton community, highlighting the need for monitoring studies. It is therefore essential to accelerate the taxonomic identification to speed up sample analysis, and to expand the analysis to biomass and size assessments, providing data for modeling efforts. Our case study in Fram Strait illustrates that image‐based analyses with the ZooScan provide abundance data and taxonomic resolutions that are comparable to microscopic analyses and are suitable for zooplankton monitoring purposes in the Arctic. We also show that image analysis allows to differentiate developmental stages of the key species Calanus spp. and Metridia longa and, thus, to study their population dynamics. Our results emphasize that older preserved samples can be successfully reanalyzed with ZooScan. To explore the applicability of image parameters for calculating total mesozooplankton and Calanus spp. biomasses, we used (1) conversion factors (CFs) translating wet mass to dry mass (DM), and (2) length–mass (LM) relationships. For Calanus spp., the calculated biomass values yielded similar results as direct DM measurements. Total mesozooplankton biomass ranged between 1.6 and 15 (LM) or 2.4 and 21 (CF) g DM m −2 , respectively, which corresponds to previous studies in Fram Strait. Ultimately, a normalized biomass size spectra analysis provides 1 st insights into the mesozooplankton size structure at different depths, revealing steep slopes in the linear fit in communities influenced by Atlantic water inflow. |
author2 |
Bundesministerium für Bildung und Forschung |
format |
Article in Journal/Newspaper |
author |
Cornils, Astrid Thomisch, Karolin Hase, Joanna Hildebrandt, Nicole Auel, Holger Niehoff, Barbara |
author_facet |
Cornils, Astrid Thomisch, Karolin Hase, Joanna Hildebrandt, Nicole Auel, Holger Niehoff, Barbara |
author_sort |
Cornils, Astrid |
title |
Testing the usefulness of optical data for zooplankton long‐term monitoring: Taxonomic composition, abundance, biomass, and size spectra from <scp>ZooScan</scp> image analysis |
title_short |
Testing the usefulness of optical data for zooplankton long‐term monitoring: Taxonomic composition, abundance, biomass, and size spectra from <scp>ZooScan</scp> image analysis |
title_full |
Testing the usefulness of optical data for zooplankton long‐term monitoring: Taxonomic composition, abundance, biomass, and size spectra from <scp>ZooScan</scp> image analysis |
title_fullStr |
Testing the usefulness of optical data for zooplankton long‐term monitoring: Taxonomic composition, abundance, biomass, and size spectra from <scp>ZooScan</scp> image analysis |
title_full_unstemmed |
Testing the usefulness of optical data for zooplankton long‐term monitoring: Taxonomic composition, abundance, biomass, and size spectra from <scp>ZooScan</scp> image analysis |
title_sort |
testing the usefulness of optical data for zooplankton long‐term monitoring: taxonomic composition, abundance, biomass, and size spectra from <scp>zooscan</scp> image analysis |
publisher |
Wiley |
publishDate |
2022 |
url |
http://dx.doi.org/10.1002/lom3.10495 https://onlinelibrary.wiley.com/doi/pdf/10.1002/lom3.10495 https://onlinelibrary.wiley.com/doi/full-xml/10.1002/lom3.10495 https://aslopubs.onlinelibrary.wiley.com/doi/pdf/10.1002/lom3.10495 |
genre |
Arctic Arctic Ocean Fram Strait Sea ice Zooplankton |
genre_facet |
Arctic Arctic Ocean Fram Strait Sea ice Zooplankton |
op_source |
Limnology and Oceanography: Methods volume 20, issue 7, page 428-450 ISSN 1541-5856 1541-5856 |
op_rights |
http://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.1002/lom3.10495 |
container_title |
Limnology and Oceanography: Methods |
container_volume |
20 |
container_issue |
7 |
container_start_page |
428 |
op_container_end_page |
450 |
_version_ |
1797577983065587712 |