Global gridded fishing exploitation patterns (F/FMSY) of demersal and pelagic fish

Global gridded fishing mortality (F) relative to the fishing mortality that supports maximum sustainable yield (FMSY) for three fish functional types: forage fish, large pelagic fish, and demersal fish. Years 1861-2004 0.5-degree spatial resolution Outputs can be used to simulate historical fishing...

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Main Authors: van Denderen, Daniel, Jacobsen, Nis, Petrik, Colleen M
Format: Other/Unknown Material
Language:unknown
Published: Zenodo 2023
Subjects:
Online Access:https://doi.org/10.5281/zenodo.10418225
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spelling ftzenodo:oai:zenodo.org:10418225 2024-09-15T17:47:02+00:00 Global gridded fishing exploitation patterns (F/FMSY) of demersal and pelagic fish van Denderen, Daniel Jacobsen, Nis Petrik, Colleen M 2023-12-21 https://doi.org/10.5281/zenodo.10418225 unknown Zenodo https://zenodo.org/communities/msca_demfish https://zenodo.org/communities/eu https://doi.org/10.5281/zenodo.10418224 https://doi.org/10.5281/zenodo.10418225 oai:zenodo.org:10418225 info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode info:eu-repo/semantics/other 2023 ftzenodo https://doi.org/10.5281/zenodo.1041822510.5281/zenodo.10418224 2024-07-25T18:53:41Z Global gridded fishing mortality (F) relative to the fishing mortality that supports maximum sustainable yield (FMSY) for three fish functional types: forage fish, large pelagic fish, and demersal fish. Years 1861-2004 0.5-degree spatial resolution Outputs can be used to simulate historical fishing patterns of pelagic and demersal fish in ecosystem models. The F/FMSY needs to be multiplied with FMSY of each fish type in the model to obtain F.FMSY depends on fish theoretical model specification and assumptions. The F/FMSY timeseries are estimated using reconstructed catch data and a data limited catch assessment model for all LME × functional type combinations with intermediate and high catches. For all remaining combinations and the high seas, F/FMSY timeseries are estimated by converting nominal effort timeseries per functional type to an F/FMSY using conversion factors. The estimated F/FMSY timeseries are allocated per functional type, ecosystem, and year across a 0.5-degree spatial grid in proportion to total gridded effort in each ecosystem. Reference to the analysis: To be added, in review Additional data sources: Reconstructed fisheries catches: Watson, R. A database of global marine commercial, small-scale, illegal and unreported fisheries catch 1950–2014. Sci Data 4, 170039 (2017). https://doi.org/10.1038/sdata.2017.39 Global gridded fishing effort data reconstruction: Rousseau, Y., Blanchard, J. L., Novaglio, C., Pinnell, K., Tittensor, D. P., Watson, R. A., & Ye, Y. (2022). Global Fishing Effort [Data]. Institute for Marine and Antarctic Studies (IMAS), University of Tasmania (UTAS). Other/Unknown Material Antarc* Antarctic Institute for Marine and Antarctic Studies Zenodo
institution Open Polar
collection Zenodo
op_collection_id ftzenodo
language unknown
description Global gridded fishing mortality (F) relative to the fishing mortality that supports maximum sustainable yield (FMSY) for three fish functional types: forage fish, large pelagic fish, and demersal fish. Years 1861-2004 0.5-degree spatial resolution Outputs can be used to simulate historical fishing patterns of pelagic and demersal fish in ecosystem models. The F/FMSY needs to be multiplied with FMSY of each fish type in the model to obtain F.FMSY depends on fish theoretical model specification and assumptions. The F/FMSY timeseries are estimated using reconstructed catch data and a data limited catch assessment model for all LME × functional type combinations with intermediate and high catches. For all remaining combinations and the high seas, F/FMSY timeseries are estimated by converting nominal effort timeseries per functional type to an F/FMSY using conversion factors. The estimated F/FMSY timeseries are allocated per functional type, ecosystem, and year across a 0.5-degree spatial grid in proportion to total gridded effort in each ecosystem. Reference to the analysis: To be added, in review Additional data sources: Reconstructed fisheries catches: Watson, R. A database of global marine commercial, small-scale, illegal and unreported fisheries catch 1950–2014. Sci Data 4, 170039 (2017). https://doi.org/10.1038/sdata.2017.39 Global gridded fishing effort data reconstruction: Rousseau, Y., Blanchard, J. L., Novaglio, C., Pinnell, K., Tittensor, D. P., Watson, R. A., & Ye, Y. (2022). Global Fishing Effort [Data]. Institute for Marine and Antarctic Studies (IMAS), University of Tasmania (UTAS).
format Other/Unknown Material
author van Denderen, Daniel
Jacobsen, Nis
Petrik, Colleen M
spellingShingle van Denderen, Daniel
Jacobsen, Nis
Petrik, Colleen M
Global gridded fishing exploitation patterns (F/FMSY) of demersal and pelagic fish
author_facet van Denderen, Daniel
Jacobsen, Nis
Petrik, Colleen M
author_sort van Denderen, Daniel
title Global gridded fishing exploitation patterns (F/FMSY) of demersal and pelagic fish
title_short Global gridded fishing exploitation patterns (F/FMSY) of demersal and pelagic fish
title_full Global gridded fishing exploitation patterns (F/FMSY) of demersal and pelagic fish
title_fullStr Global gridded fishing exploitation patterns (F/FMSY) of demersal and pelagic fish
title_full_unstemmed Global gridded fishing exploitation patterns (F/FMSY) of demersal and pelagic fish
title_sort global gridded fishing exploitation patterns (f/fmsy) of demersal and pelagic fish
publisher Zenodo
publishDate 2023
url https://doi.org/10.5281/zenodo.10418225
genre Antarc*
Antarctic
Institute for Marine and Antarctic Studies
genre_facet Antarc*
Antarctic
Institute for Marine and Antarctic Studies
op_relation https://zenodo.org/communities/msca_demfish
https://zenodo.org/communities/eu
https://doi.org/10.5281/zenodo.10418224
https://doi.org/10.5281/zenodo.10418225
oai:zenodo.org:10418225
op_rights info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
op_doi https://doi.org/10.5281/zenodo.1041822510.5281/zenodo.10418224
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