Earth Observation and model-derived aquaculture indicators report

Space available for aquaculture, in Europe as elsewhere, is in limited supply and high demand. Additional tools are required to support the identification of potential new sites and to assess their suitability and sustainability for various aquaculture segments. In this report, various aquaculture i...

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Main Authors: Palmer, Stephanie, Barillé, Laurent, Gernez, Pierre, Ciavatta, Stephano, Evers-King, Hayley, Kay, Susan, Kurekin, Andrey, Loveday, Benjamin, Miller, Peter, Wilson, Robert, Tsiaras, Kostas, Wallhead, Phil, Kristiansen, Trond, Staalstrøm, André, Dale, Trine, Bellerby, Richard
Format: Text
Language:unknown
Published: Zenodo 2019
Subjects:
DEB
AZA
AIM
Kay
Online Access:https://dx.doi.org/10.5281/zenodo.3581505
https://zenodo.org/record/3581505
id ftdatacite:10.5281/zenodo.3581505
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institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
topic TAPAS
ERSEM
DEB
satellite
AZA
AIM
climate change
spellingShingle TAPAS
ERSEM
DEB
satellite
AZA
AIM
climate change
Palmer, Stephanie
Barillé, Laurent
Gernez, Pierre
Ciavatta, Stephano
Evers-King, Hayley
Kay, Susan
Kurekin, Andrey
Loveday, Benjamin
Miller, Peter
Wilson, Robert
Tsiaras, Kostas
Wallhead, Phil
Kristiansen, Trond
Staalstrøm, André
Dale, Trine
Bellerby, Richard
Earth Observation and model-derived aquaculture indicators report
topic_facet TAPAS
ERSEM
DEB
satellite
AZA
AIM
climate change
description Space available for aquaculture, in Europe as elsewhere, is in limited supply and high demand. Additional tools are required to support the identification of potential new sites and to assess their suitability and sustainability for various aquaculture segments. In this report, various aquaculture indicators that were derived using satellite Earth Observation and modelling approaches as part of Tools for Assessment and Planning of Aquaculture Sustainability (TAPAS) are presented. These cover far-field, regional ecosystem-scale coastal and offshore aquaculture segments in different parts of Europe. Indicators specific to shellfish and finfish biology and farms are presented, as are more general biogeochemical indicators, and include the identification of current and forecasted future opportunities for aquaculture, as well as environmental risks to the industry. Specifically, satellite ocean-colour observations are used to produce maps of optical water types and suspended particulate matter extremes for the North East Atlantic and Mediterranean, and of harmful algal bloom risk in north-western European waters for the current period (Section 2; PML). Output from a 3D hydrodynamic-biogeochemical ocean model (POLCOMS-ERSEM) is used to produce indicators of current (early-century) and future (mid- and late-century) aquaculture suitability for the Mediterranean Sea and the North West European shelf sea, notably water temperature, phytoplankton and zooplankton biomass, and degree day modelled maps of Pacific oyster spawning and metamorphosis potential, under different climate scenarios (Representative Concentration Pathways 4.5 and 8.5; Section 3; PML). Section 3 output is used in further pan-European modelling of Pacific oyster growth potential via dynamic energy budget (DEB) theory, transformed into industry-relevant indicators for the early- and late-century scenarios (Section 4; UN). The evaluation of Mediterranean finfish Aquaculture Allocated Zone carrying capacity, through the modelling of near-surface currents, chlorophyll-a, and dissolved inorganic nutrients used to calculate environmental indicators and an overall environmental index, also made use of Section 3 outputs (Section 5; HCMR). Additional 3D hydrodynamic-biogeochemical ocean modelling (A20) outputs have been used for macro-siting of offshore salmon and mussel aquaculture in the North Atlantic and Nordic Seas, using thresholds of several output variables to establish and map environmental suitability indices for each (Section 6; NIVA). The compiled approaches and proposed indicators are relevant to diverse European aquaculture segments and situations, and could be individually selected or mix-and-matched to best respond to the particular context or question. Using far-field models, large-scale zones of interest are highlighted for broad aquaculture planning and policy development, which can be then considered in higher resolution at subsequent planning and decision-making steps. Long-term sustainability and uncertainties were considered through the implementation of various climate and management scenarios in modelled forecasting of indicators. Such consideration of different scenarios helps zones of interest to be identified, and also serves to highlight which factors are expected have the greatest impact on the given aquaculture sector. : This study has received funding from the EU H2020 research and innovation programme under Grant Agreement No 678396. This is Deliverable 6.6 from the TAPAS project (Tools for Assessment and Planning of Aquaculture Sustainability). Refer to this document as: Palmer, S., Barillé, L., Gernez, P., Ciavatta, S., Evers-King, H., Kay, S., Kurekin, A., Loveday, B., Miller, P.I., Simis, S., Wilson, R., Tsiaras, K., Wallhead, P., Kristiansen, T., Staalstrøm, A., Dale, T., Bellerby R., 2019. Earth Observation and model-derived aquaculture indicators report. TAPAS project Deliverable 6.6 report. 65 pp. doi: 10.5281/zenodo.3581506
format Text
author Palmer, Stephanie
Barillé, Laurent
Gernez, Pierre
Ciavatta, Stephano
Evers-King, Hayley
Kay, Susan
Kurekin, Andrey
Loveday, Benjamin
Miller, Peter
Wilson, Robert
Tsiaras, Kostas
Wallhead, Phil
Kristiansen, Trond
Staalstrøm, André
Dale, Trine
Bellerby, Richard
author_facet Palmer, Stephanie
Barillé, Laurent
Gernez, Pierre
Ciavatta, Stephano
Evers-King, Hayley
Kay, Susan
Kurekin, Andrey
Loveday, Benjamin
Miller, Peter
Wilson, Robert
Tsiaras, Kostas
Wallhead, Phil
Kristiansen, Trond
Staalstrøm, André
Dale, Trine
Bellerby, Richard
author_sort Palmer, Stephanie
title Earth Observation and model-derived aquaculture indicators report
title_short Earth Observation and model-derived aquaculture indicators report
title_full Earth Observation and model-derived aquaculture indicators report
title_fullStr Earth Observation and model-derived aquaculture indicators report
title_full_unstemmed Earth Observation and model-derived aquaculture indicators report
title_sort earth observation and model-derived aquaculture indicators report
publisher Zenodo
publishDate 2019
url https://dx.doi.org/10.5281/zenodo.3581505
https://zenodo.org/record/3581505
long_lat ENVELOPE(-60.917,-60.917,-64.117,-64.117)
ENVELOPE(23.913,23.913,66.136,66.136)
geographic Kay
Niva
Pacific
geographic_facet Kay
Niva
Pacific
genre Nordic Seas
North Atlantic
North East Atlantic
Pacific oyster
genre_facet Nordic Seas
North Atlantic
North East Atlantic
Pacific oyster
op_relation https://dx.doi.org/10.5281/zenodo.3581506
op_rights Open Access
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
cc-by-4.0
info:eu-repo/semantics/openAccess
op_rightsnorm CC-BY
op_doi https://doi.org/10.5281/zenodo.3581505
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spelling ftdatacite:10.5281/zenodo.3581505 2023-05-15T17:24:25+02:00 Earth Observation and model-derived aquaculture indicators report Palmer, Stephanie Barillé, Laurent Gernez, Pierre Ciavatta, Stephano Evers-King, Hayley Kay, Susan Kurekin, Andrey Loveday, Benjamin Miller, Peter Wilson, Robert Tsiaras, Kostas Wallhead, Phil Kristiansen, Trond Staalstrøm, André Dale, Trine Bellerby, Richard 2019 https://dx.doi.org/10.5281/zenodo.3581505 https://zenodo.org/record/3581505 unknown Zenodo https://dx.doi.org/10.5281/zenodo.3581506 Open Access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 info:eu-repo/semantics/openAccess CC-BY TAPAS ERSEM DEB satellite AZA AIM climate change Text Project deliverable article-journal ScholarlyArticle 2019 ftdatacite https://doi.org/10.5281/zenodo.3581505 https://doi.org/10.5281/zenodo.3581506 2021-11-05T12:55:41Z Space available for aquaculture, in Europe as elsewhere, is in limited supply and high demand. Additional tools are required to support the identification of potential new sites and to assess their suitability and sustainability for various aquaculture segments. In this report, various aquaculture indicators that were derived using satellite Earth Observation and modelling approaches as part of Tools for Assessment and Planning of Aquaculture Sustainability (TAPAS) are presented. These cover far-field, regional ecosystem-scale coastal and offshore aquaculture segments in different parts of Europe. Indicators specific to shellfish and finfish biology and farms are presented, as are more general biogeochemical indicators, and include the identification of current and forecasted future opportunities for aquaculture, as well as environmental risks to the industry. Specifically, satellite ocean-colour observations are used to produce maps of optical water types and suspended particulate matter extremes for the North East Atlantic and Mediterranean, and of harmful algal bloom risk in north-western European waters for the current period (Section 2; PML). Output from a 3D hydrodynamic-biogeochemical ocean model (POLCOMS-ERSEM) is used to produce indicators of current (early-century) and future (mid- and late-century) aquaculture suitability for the Mediterranean Sea and the North West European shelf sea, notably water temperature, phytoplankton and zooplankton biomass, and degree day modelled maps of Pacific oyster spawning and metamorphosis potential, under different climate scenarios (Representative Concentration Pathways 4.5 and 8.5; Section 3; PML). Section 3 output is used in further pan-European modelling of Pacific oyster growth potential via dynamic energy budget (DEB) theory, transformed into industry-relevant indicators for the early- and late-century scenarios (Section 4; UN). The evaluation of Mediterranean finfish Aquaculture Allocated Zone carrying capacity, through the modelling of near-surface currents, chlorophyll-a, and dissolved inorganic nutrients used to calculate environmental indicators and an overall environmental index, also made use of Section 3 outputs (Section 5; HCMR). Additional 3D hydrodynamic-biogeochemical ocean modelling (A20) outputs have been used for macro-siting of offshore salmon and mussel aquaculture in the North Atlantic and Nordic Seas, using thresholds of several output variables to establish and map environmental suitability indices for each (Section 6; NIVA). The compiled approaches and proposed indicators are relevant to diverse European aquaculture segments and situations, and could be individually selected or mix-and-matched to best respond to the particular context or question. Using far-field models, large-scale zones of interest are highlighted for broad aquaculture planning and policy development, which can be then considered in higher resolution at subsequent planning and decision-making steps. Long-term sustainability and uncertainties were considered through the implementation of various climate and management scenarios in modelled forecasting of indicators. Such consideration of different scenarios helps zones of interest to be identified, and also serves to highlight which factors are expected have the greatest impact on the given aquaculture sector. : This study has received funding from the EU H2020 research and innovation programme under Grant Agreement No 678396. This is Deliverable 6.6 from the TAPAS project (Tools for Assessment and Planning of Aquaculture Sustainability). Refer to this document as: Palmer, S., Barillé, L., Gernez, P., Ciavatta, S., Evers-King, H., Kay, S., Kurekin, A., Loveday, B., Miller, P.I., Simis, S., Wilson, R., Tsiaras, K., Wallhead, P., Kristiansen, T., Staalstrøm, A., Dale, T., Bellerby R., 2019. Earth Observation and model-derived aquaculture indicators report. TAPAS project Deliverable 6.6 report. 65 pp. doi: 10.5281/zenodo.3581506 Text Nordic Seas North Atlantic North East Atlantic Pacific oyster DataCite Metadata Store (German National Library of Science and Technology) Kay ENVELOPE(-60.917,-60.917,-64.117,-64.117) Niva ENVELOPE(23.913,23.913,66.136,66.136) Pacific