Use of micronekton data and models to improve ecology of top predators
Typically, studies that focus on mid-to-high trophic-level species, such as fish and marine mammals, analyse data collected using instruments designed specifically to observe only a partial aspect of a single or small group or related species. For instance, mid-trophic level mesopelagic (200 to 1,00...
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ftzenodo:oai:zenodo.org:2588407 2023-05-15T16:05:09+02:00 Use of micronekton data and models to improve ecology of top predators Proud, Roland Brierley, A.S. 2018-11-30 https://zenodo.org/record/2588407 https://doi.org/10.5281/zenodo.2588407 eng eng info:eu-repo/grantAgreement/EC/H2020/692173/ doi:10.3354/meps12612 doi:10.5281/zenodo.2588406 https://zenodo.org/communities/mesopp-h2020 https://zenodo.org/record/2588407 https://doi.org/10.5281/zenodo.2588407 oai:zenodo.org:2588407 info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode marine mammals active-acoustics deep scattering layers Southern elephant seal predator-prey interactions Southern Ocean Kerguelen info:eu-repo/semantics/report publication-report 2018 ftzenodo https://doi.org/10.5281/zenodo.258840710.3354/meps1261210.5281/zenodo.2588406 2023-03-10T21:50:02Z Typically, studies that focus on mid-to-high trophic-level species, such as fish and marine mammals, analyse data collected using instruments designed specifically to observe only a partial aspect of a single or small group or related species. For instance, mid-trophic level mesopelagic (200 to 1,000 m) organisms, which form deep scattering layers (DSLs), can be observed using echosounders, but these instruments do not enable elucidation of food web structure. Recent developments in data collection, storage and accessibility (via online data centres and project portals), have enabled observations collected by a wide range of instruments to be integrated and analysed concurrently. The Pelagic Ecology Research Group (PERG) at the University of St Andrews has collated a global dataset of 38 kHz echosounder observations. The Southern Ocean component of this collated data were obtained primarily from the Integrated Marine Observing System (IMOS, ww.imos.org.au) and the MESOPP data portal (www.mesopp.eu), which include observations made from both fisheries and research vessels. In parallel to these developments, a database of Southern elephant seal diving data has been established, providing both CTD and time-depth data collected via bio-logging. In this study, we link together a decade’s worth (between 2004 and 2017) of Southern elephant seal dive data and echosounder observations of sound scattering layers (SSLs) to investigate fine-scale (10’s m) vertical predator-prey interactions in the Indian ocean sector of the Southern Ocean. Report Elephant Seal Southern Elephant Seal Southern Ocean Zenodo Southern Ocean Kerguelen Indian |
institution |
Open Polar |
collection |
Zenodo |
op_collection_id |
ftzenodo |
language |
English |
topic |
marine mammals active-acoustics deep scattering layers Southern elephant seal predator-prey interactions Southern Ocean Kerguelen |
spellingShingle |
marine mammals active-acoustics deep scattering layers Southern elephant seal predator-prey interactions Southern Ocean Kerguelen Proud, Roland Brierley, A.S. Use of micronekton data and models to improve ecology of top predators |
topic_facet |
marine mammals active-acoustics deep scattering layers Southern elephant seal predator-prey interactions Southern Ocean Kerguelen |
description |
Typically, studies that focus on mid-to-high trophic-level species, such as fish and marine mammals, analyse data collected using instruments designed specifically to observe only a partial aspect of a single or small group or related species. For instance, mid-trophic level mesopelagic (200 to 1,000 m) organisms, which form deep scattering layers (DSLs), can be observed using echosounders, but these instruments do not enable elucidation of food web structure. Recent developments in data collection, storage and accessibility (via online data centres and project portals), have enabled observations collected by a wide range of instruments to be integrated and analysed concurrently. The Pelagic Ecology Research Group (PERG) at the University of St Andrews has collated a global dataset of 38 kHz echosounder observations. The Southern Ocean component of this collated data were obtained primarily from the Integrated Marine Observing System (IMOS, ww.imos.org.au) and the MESOPP data portal (www.mesopp.eu), which include observations made from both fisheries and research vessels. In parallel to these developments, a database of Southern elephant seal diving data has been established, providing both CTD and time-depth data collected via bio-logging. In this study, we link together a decade’s worth (between 2004 and 2017) of Southern elephant seal dive data and echosounder observations of sound scattering layers (SSLs) to investigate fine-scale (10’s m) vertical predator-prey interactions in the Indian ocean sector of the Southern Ocean. |
format |
Report |
author |
Proud, Roland Brierley, A.S. |
author_facet |
Proud, Roland Brierley, A.S. |
author_sort |
Proud, Roland |
title |
Use of micronekton data and models to improve ecology of top predators |
title_short |
Use of micronekton data and models to improve ecology of top predators |
title_full |
Use of micronekton data and models to improve ecology of top predators |
title_fullStr |
Use of micronekton data and models to improve ecology of top predators |
title_full_unstemmed |
Use of micronekton data and models to improve ecology of top predators |
title_sort |
use of micronekton data and models to improve ecology of top predators |
publishDate |
2018 |
url |
https://zenodo.org/record/2588407 https://doi.org/10.5281/zenodo.2588407 |
geographic |
Southern Ocean Kerguelen Indian |
geographic_facet |
Southern Ocean Kerguelen Indian |
genre |
Elephant Seal Southern Elephant Seal Southern Ocean |
genre_facet |
Elephant Seal Southern Elephant Seal Southern Ocean |
op_relation |
info:eu-repo/grantAgreement/EC/H2020/692173/ doi:10.3354/meps12612 doi:10.5281/zenodo.2588406 https://zenodo.org/communities/mesopp-h2020 https://zenodo.org/record/2588407 https://doi.org/10.5281/zenodo.2588407 oai:zenodo.org:2588407 |
op_rights |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode |
op_doi |
https://doi.org/10.5281/zenodo.258840710.3354/meps1261210.5281/zenodo.2588406 |
_version_ |
1766400958030413824 |