Testing a Model of Pacific Oysters’ ( Crassostrea gigas ) Growth in the Adriatic Sea: Implications for Aquaculture Spatial Planning

Assessing the potential biomass yield is a key step in aquaculture site selection. This is challenging, especially for shellfish, as the growth rate depends on both trophic status and water temperature. Individual ecophysiological models can be used for mapping potential shellfish growth in coastal...

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Main Authors: Camilla Bertolini, Daniele Brigolin, Erika M. D. Porporato, Jasmine Hattab, Roberto Pastres, Pietro Giorgio Tiscar
Format: Article in Journal/Newspaper
Language:unknown
Subjects:
Online Access:https://www.mdpi.com/2071-1050/13/6/3309/pdf
https://www.mdpi.com/2071-1050/13/6/3309/
id ftrepec:oai:RePEc:gam:jsusta:v:13:y:2021:i:6:p:3309-:d:518833
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spelling ftrepec:oai:RePEc:gam:jsusta:v:13:y:2021:i:6:p:3309-:d:518833 2024-04-14T08:10:39+00:00 Testing a Model of Pacific Oysters’ ( Crassostrea gigas ) Growth in the Adriatic Sea: Implications for Aquaculture Spatial Planning Camilla Bertolini Daniele Brigolin Erika M. D. Porporato Jasmine Hattab Roberto Pastres Pietro Giorgio Tiscar https://www.mdpi.com/2071-1050/13/6/3309/pdf https://www.mdpi.com/2071-1050/13/6/3309/ unknown https://www.mdpi.com/2071-1050/13/6/3309/pdf https://www.mdpi.com/2071-1050/13/6/3309/ article ftrepec 2024-03-19T10:39:52Z Assessing the potential biomass yield is a key step in aquaculture site selection. This is challenging, especially for shellfish, as the growth rate depends on both trophic status and water temperature. Individual ecophysiological models can be used for mapping potential shellfish growth in coastal areas, using as input spatial time series of remotely sensed SST and chlorophyll-a. This approach was taken here to estimate the potential for developing oyster ( Crassostrea gigas ) farming in the western Adriatic Sea. Industry relevant indicators (i.e., shell length, total individual weight) and days required to reach marketable size were mapped using a dynamic energy budget model, finetuned on the basis of site-specific morphometric data collected monthly for a year. Spatially scaled-up results showed that the faster and more uniform growth in the northern Adriatic coastal area, compared with the southern one, where chlorophyll-a levels are lower and summer temperatures exceed the critical temperature limit for longer periods. These results could be used in planning the identification of allocated zones for aquaculture, (AZA), taking into account also the potential for farming or co-farming C. gigas . In perspective, the methodology could be used for getting insights on changes to the potential productivity indicators due to climatic changes. Adriatic Sea; AZA; dynamic energy budget; modeling; thermal limits; primary productivity; satellite data Article in Journal/Newspaper Crassostrea gigas RePEc (Research Papers in Economics) Pacific
institution Open Polar
collection RePEc (Research Papers in Economics)
op_collection_id ftrepec
language unknown
description Assessing the potential biomass yield is a key step in aquaculture site selection. This is challenging, especially for shellfish, as the growth rate depends on both trophic status and water temperature. Individual ecophysiological models can be used for mapping potential shellfish growth in coastal areas, using as input spatial time series of remotely sensed SST and chlorophyll-a. This approach was taken here to estimate the potential for developing oyster ( Crassostrea gigas ) farming in the western Adriatic Sea. Industry relevant indicators (i.e., shell length, total individual weight) and days required to reach marketable size were mapped using a dynamic energy budget model, finetuned on the basis of site-specific morphometric data collected monthly for a year. Spatially scaled-up results showed that the faster and more uniform growth in the northern Adriatic coastal area, compared with the southern one, where chlorophyll-a levels are lower and summer temperatures exceed the critical temperature limit for longer periods. These results could be used in planning the identification of allocated zones for aquaculture, (AZA), taking into account also the potential for farming or co-farming C. gigas . In perspective, the methodology could be used for getting insights on changes to the potential productivity indicators due to climatic changes. Adriatic Sea; AZA; dynamic energy budget; modeling; thermal limits; primary productivity; satellite data
format Article in Journal/Newspaper
author Camilla Bertolini
Daniele Brigolin
Erika M. D. Porporato
Jasmine Hattab
Roberto Pastres
Pietro Giorgio Tiscar
spellingShingle Camilla Bertolini
Daniele Brigolin
Erika M. D. Porporato
Jasmine Hattab
Roberto Pastres
Pietro Giorgio Tiscar
Testing a Model of Pacific Oysters’ ( Crassostrea gigas ) Growth in the Adriatic Sea: Implications for Aquaculture Spatial Planning
author_facet Camilla Bertolini
Daniele Brigolin
Erika M. D. Porporato
Jasmine Hattab
Roberto Pastres
Pietro Giorgio Tiscar
author_sort Camilla Bertolini
title Testing a Model of Pacific Oysters’ ( Crassostrea gigas ) Growth in the Adriatic Sea: Implications for Aquaculture Spatial Planning
title_short Testing a Model of Pacific Oysters’ ( Crassostrea gigas ) Growth in the Adriatic Sea: Implications for Aquaculture Spatial Planning
title_full Testing a Model of Pacific Oysters’ ( Crassostrea gigas ) Growth in the Adriatic Sea: Implications for Aquaculture Spatial Planning
title_fullStr Testing a Model of Pacific Oysters’ ( Crassostrea gigas ) Growth in the Adriatic Sea: Implications for Aquaculture Spatial Planning
title_full_unstemmed Testing a Model of Pacific Oysters’ ( Crassostrea gigas ) Growth in the Adriatic Sea: Implications for Aquaculture Spatial Planning
title_sort testing a model of pacific oysters’ ( crassostrea gigas ) growth in the adriatic sea: implications for aquaculture spatial planning
url https://www.mdpi.com/2071-1050/13/6/3309/pdf
https://www.mdpi.com/2071-1050/13/6/3309/
geographic Pacific
geographic_facet Pacific
genre Crassostrea gigas
genre_facet Crassostrea gigas
op_relation https://www.mdpi.com/2071-1050/13/6/3309/pdf
https://www.mdpi.com/2071-1050/13/6/3309/
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