Testing the usefulness of optical data for zooplankton long‐term monitoring: Taxonomic composition, abundance, biomass, and size spectra from ZooScan image analysis
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 acce...
Published in: | Limnology and Oceanography: Methods |
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Online Access: | https://epic.awi.de/id/eprint/56165/ https://epic.awi.de/id/eprint/56165/1/Cornils_etal_2022_LOMethods.pdf https://doi.org/10.1002/lom3.10495 https://hdl.handle.net/10013/epic.6f39177c-4748-4f50-ac82-cba11d43e987 |
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ftawi:oai:epic.awi.de:56165 2024-09-15T17:54:07+00:00 Testing the usefulness of optical data for zooplankton long‐term monitoring: Taxonomic composition, abundance, biomass, and size spectra from ZooScan image analysis Cornils, Astrid Thomisch, Karolin Hase, Joanna Hildebrandt, Nicole Auel, Holger Niehoff, Barbara 2022 application/pdf https://epic.awi.de/id/eprint/56165/ https://epic.awi.de/id/eprint/56165/1/Cornils_etal_2022_LOMethods.pdf https://doi.org/10.1002/lom3.10495 https://hdl.handle.net/10013/epic.6f39177c-4748-4f50-ac82-cba11d43e987 unknown https://epic.awi.de/id/eprint/56165/1/Cornils_etal_2022_LOMethods.pdf Cornils, A. orcid:0000-0003-4536-9015 , Thomisch, K. orcid:0000-0002-7144-8369 , Hase, J. , Hildebrandt, N. , Auel, H. and Niehoff, B. orcid:0000-0002-7483-9373 (2022) Testing the usefulness of optical data for zooplankton long‐term monitoring: Taxonomic composition, abundance, biomass, and size spectra from ZooScan image analysis , Limnology and Oceanography: Methods . doi:10.1002/lom3.10495 <https://doi.org/10.1002/lom3.10495> , hdl:10013/epic.6f39177c-4748-4f50-ac82-cba11d43e987 EPIC3Limnology and Oceanography: Methods, ISSN: 1541-5856 Article isiRev 2022 ftawi https://doi.org/10.1002/lom3.10495 2024-06-24T04:28:46Z 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 1st 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 Ocean Fram Strait Sea ice Zooplankton Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center) Limnology and Oceanography: Methods |
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Open Polar |
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Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center) |
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ftawi |
language |
unknown |
description |
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 1st insights into the mesozooplankton size structure at different depths, revealing steep slopes in the linear fit in communities influenced by Atlantic water inflow. |
format |
Article in Journal/Newspaper |
author |
Cornils, Astrid Thomisch, Karolin Hase, Joanna Hildebrandt, Nicole Auel, Holger Niehoff, Barbara |
spellingShingle |
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 ZooScan image analysis |
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 ZooScan image analysis |
title_short |
Testing the usefulness of optical data for zooplankton long‐term monitoring: Taxonomic composition, abundance, biomass, and size spectra from ZooScan image analysis |
title_full |
Testing the usefulness of optical data for zooplankton long‐term monitoring: Taxonomic composition, abundance, biomass, and size spectra from ZooScan image analysis |
title_fullStr |
Testing the usefulness of optical data for zooplankton long‐term monitoring: Taxonomic composition, abundance, biomass, and size spectra from ZooScan image analysis |
title_full_unstemmed |
Testing the usefulness of optical data for zooplankton long‐term monitoring: Taxonomic composition, abundance, biomass, and size spectra from ZooScan image analysis |
title_sort |
testing the usefulness of optical data for zooplankton long‐term monitoring: taxonomic composition, abundance, biomass, and size spectra from zooscan image analysis |
publishDate |
2022 |
url |
https://epic.awi.de/id/eprint/56165/ https://epic.awi.de/id/eprint/56165/1/Cornils_etal_2022_LOMethods.pdf https://doi.org/10.1002/lom3.10495 https://hdl.handle.net/10013/epic.6f39177c-4748-4f50-ac82-cba11d43e987 |
genre |
Arctic Ocean Fram Strait Sea ice Zooplankton |
genre_facet |
Arctic Ocean Fram Strait Sea ice Zooplankton |
op_source |
EPIC3Limnology and Oceanography: Methods, ISSN: 1541-5856 |
op_relation |
https://epic.awi.de/id/eprint/56165/1/Cornils_etal_2022_LOMethods.pdf Cornils, A. orcid:0000-0003-4536-9015 , Thomisch, K. orcid:0000-0002-7144-8369 , Hase, J. , Hildebrandt, N. , Auel, H. and Niehoff, B. orcid:0000-0002-7483-9373 (2022) Testing the usefulness of optical data for zooplankton long‐term monitoring: Taxonomic composition, abundance, biomass, and size spectra from ZooScan image analysis , Limnology and Oceanography: Methods . doi:10.1002/lom3.10495 <https://doi.org/10.1002/lom3.10495> , hdl:10013/epic.6f39177c-4748-4f50-ac82-cba11d43e987 |
op_doi |
https://doi.org/10.1002/lom3.10495 |
container_title |
Limnology and Oceanography: Methods |
_version_ |
1810430325970436096 |