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...
Main Authors: | , , , , , |
---|---|
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 |
---|---|
record_format |
openpolar |
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/ |
_version_ |
1796308290904260608 |