Remote Sensing-Driven Pacific Oyster (Crassostrea gigas) Growth Modeling to Inform Offshore Aquaculture Site Selection
Aquaculture increasingly contributes to global seafood production, requiring new farm sites for continued growth. In France, oyster cultivation has conventionally taken place in the intertidal zone, where there is little or no further room for expansion. Despite interest in moving production further...
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ftdoajarticles:oai:doaj.org/article:401e566dc2fe46638f5687d1396d777b 2023-05-15T15:59:03+02:00 Remote Sensing-Driven Pacific Oyster (Crassostrea gigas) Growth Modeling to Inform Offshore Aquaculture Site Selection Stephanie C. J. Palmer Pierre M. Gernez Yoann Thomas Stefan Simis Peter I. Miller Philippe Glize Laurent Barillé 2020-01-01T00:00:00Z https://doi.org/10.3389/fmars.2019.00802 https://doaj.org/article/401e566dc2fe46638f5687d1396d777b EN eng Frontiers Media S.A. https://www.frontiersin.org/article/10.3389/fmars.2019.00802/full https://doaj.org/toc/2296-7745 2296-7745 doi:10.3389/fmars.2019.00802 https://doaj.org/article/401e566dc2fe46638f5687d1396d777b Frontiers in Marine Science, Vol 6 (2020) satellite image time series bivalve dynamic energy budget growth modeling MERIS Science Q General. Including nature conservation geographical distribution QH1-199.5 article 2020 ftdoajarticles https://doi.org/10.3389/fmars.2019.00802 2022-12-31T01:50:03Z Aquaculture increasingly contributes to global seafood production, requiring new farm sites for continued growth. In France, oyster cultivation has conventionally taken place in the intertidal zone, where there is little or no further room for expansion. Despite interest in moving production further offshore, more information is needed regarding the biological potential for offshore oyster growth, including its spatial and temporal variability. This study shows the use of remotely-sensed chlorophyll-a and total suspended matter concentrations retrieved from the Medium Resolution Imaging Spectrometer (MERIS), and sea surface temperature from the Advanced Very High Resolution Radiometer (AVHRR), all validated using in situ matchup measurements, as input to run a Dynamic Energy Budget (DEB) Pacific oyster growth model for a study site along the French Atlantic coast (Bourgneuf Bay, France). Resulting oyster growth maps were calibrated and validated using in situ measurements of total oyster weight made throughout two growing seasons, from the intertidal zone, where cultivation currently takes place, and from experimental offshore sites, for both spat (R2 = 0.91; RMSE = 1.60 g) and adults (R2 = 0.95; RMSE = 4.34 g). Oyster growth time series are further digested into industry-relevant indicators, such as time to achieve market weight and quality index, elaborated in consultation with local producers and industry professionals, and which are also mapped. Offshore growth is found to be feasible and to be as much as two times faster than in the intertidal zone (p < 0.001). However, the potential for growth is also revealed to be highly variable across the investigated area. Mapping reveals a clear spatial gradient in production potential in the offshore environment, with the northeastern segment of the bay far better suited than the southwestern. Results also highlight the added value of spatiotemporal data, such as satellite image time series, to drive modeling in support of marine spatial planning. The current ... Article in Journal/Newspaper Crassostrea gigas Pacific oyster Directory of Open Access Journals: DOAJ Articles Pacific Frontiers in Marine Science 6 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
satellite image time series bivalve dynamic energy budget growth modeling MERIS Science Q General. Including nature conservation geographical distribution QH1-199.5 |
spellingShingle |
satellite image time series bivalve dynamic energy budget growth modeling MERIS Science Q General. Including nature conservation geographical distribution QH1-199.5 Stephanie C. J. Palmer Pierre M. Gernez Yoann Thomas Stefan Simis Peter I. Miller Philippe Glize Laurent Barillé Remote Sensing-Driven Pacific Oyster (Crassostrea gigas) Growth Modeling to Inform Offshore Aquaculture Site Selection |
topic_facet |
satellite image time series bivalve dynamic energy budget growth modeling MERIS Science Q General. Including nature conservation geographical distribution QH1-199.5 |
description |
Aquaculture increasingly contributes to global seafood production, requiring new farm sites for continued growth. In France, oyster cultivation has conventionally taken place in the intertidal zone, where there is little or no further room for expansion. Despite interest in moving production further offshore, more information is needed regarding the biological potential for offshore oyster growth, including its spatial and temporal variability. This study shows the use of remotely-sensed chlorophyll-a and total suspended matter concentrations retrieved from the Medium Resolution Imaging Spectrometer (MERIS), and sea surface temperature from the Advanced Very High Resolution Radiometer (AVHRR), all validated using in situ matchup measurements, as input to run a Dynamic Energy Budget (DEB) Pacific oyster growth model for a study site along the French Atlantic coast (Bourgneuf Bay, France). Resulting oyster growth maps were calibrated and validated using in situ measurements of total oyster weight made throughout two growing seasons, from the intertidal zone, where cultivation currently takes place, and from experimental offshore sites, for both spat (R2 = 0.91; RMSE = 1.60 g) and adults (R2 = 0.95; RMSE = 4.34 g). Oyster growth time series are further digested into industry-relevant indicators, such as time to achieve market weight and quality index, elaborated in consultation with local producers and industry professionals, and which are also mapped. Offshore growth is found to be feasible and to be as much as two times faster than in the intertidal zone (p < 0.001). However, the potential for growth is also revealed to be highly variable across the investigated area. Mapping reveals a clear spatial gradient in production potential in the offshore environment, with the northeastern segment of the bay far better suited than the southwestern. Results also highlight the added value of spatiotemporal data, such as satellite image time series, to drive modeling in support of marine spatial planning. The current ... |
format |
Article in Journal/Newspaper |
author |
Stephanie C. J. Palmer Pierre M. Gernez Yoann Thomas Stefan Simis Peter I. Miller Philippe Glize Laurent Barillé |
author_facet |
Stephanie C. J. Palmer Pierre M. Gernez Yoann Thomas Stefan Simis Peter I. Miller Philippe Glize Laurent Barillé |
author_sort |
Stephanie C. J. Palmer |
title |
Remote Sensing-Driven Pacific Oyster (Crassostrea gigas) Growth Modeling to Inform Offshore Aquaculture Site Selection |
title_short |
Remote Sensing-Driven Pacific Oyster (Crassostrea gigas) Growth Modeling to Inform Offshore Aquaculture Site Selection |
title_full |
Remote Sensing-Driven Pacific Oyster (Crassostrea gigas) Growth Modeling to Inform Offshore Aquaculture Site Selection |
title_fullStr |
Remote Sensing-Driven Pacific Oyster (Crassostrea gigas) Growth Modeling to Inform Offshore Aquaculture Site Selection |
title_full_unstemmed |
Remote Sensing-Driven Pacific Oyster (Crassostrea gigas) Growth Modeling to Inform Offshore Aquaculture Site Selection |
title_sort |
remote sensing-driven pacific oyster (crassostrea gigas) growth modeling to inform offshore aquaculture site selection |
publisher |
Frontiers Media S.A. |
publishDate |
2020 |
url |
https://doi.org/10.3389/fmars.2019.00802 https://doaj.org/article/401e566dc2fe46638f5687d1396d777b |
geographic |
Pacific |
geographic_facet |
Pacific |
genre |
Crassostrea gigas Pacific oyster |
genre_facet |
Crassostrea gigas Pacific oyster |
op_source |
Frontiers in Marine Science, Vol 6 (2020) |
op_relation |
https://www.frontiersin.org/article/10.3389/fmars.2019.00802/full https://doaj.org/toc/2296-7745 2296-7745 doi:10.3389/fmars.2019.00802 https://doaj.org/article/401e566dc2fe46638f5687d1396d777b |
op_doi |
https://doi.org/10.3389/fmars.2019.00802 |
container_title |
Frontiers in Marine Science |
container_volume |
6 |
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1766394828242812928 |