Habitat suitability assessment for native oyster based on temperature and salinity modelling in an estuarine environment

Abstract The European flat oyster, Ostrea edulis , has been harvested in Galway Bay, Ireland, for centuries, but the oyster populations in the bay have declined and are currently facing multiple threats. One major concern in the bay is the recurrence of heavy-rainfall, high-runoff and low-salinity events. In this work, a high-resolution hydrodynamic coastal model of Galway Bay is used together with experimental data on oyster mortality to identify areas with suitable combinations of temperature and salinity for native oyster restoration. A new coastal circulation model of Galway Bay is presented, and its performance is evaluated against in-situ temperature and salinity observations. Separately, oyster mortality under various combinations of temperature and salinity was examined in the laboratory and cumulative mortality curves were determined. These experimental data were used to develop an oyster mortality response model that, together with the temperature and salinity predictions from the hydrodynamic model, determines the total mortality over a given period. A Habitat Suitability Index for the Bay, with respect to temperature and salinity, is proposed, based on the distribution of total cumulative mortality that oysters would experience over their life span due to unfavourable conditions of temperature and salinity.

Authors

Institutions

Publication Details

Journal
Ocean Dynamics
Published
2025-09-27
DOI
https://doi.org/10.1007/s10236-025-01732-0
Citations
2
Primary Topic
Marine Bivalve and Aquaculture Studies
Type
article
Field-Weighted Citation Impact
2.21

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Habitat suitability assessment for native oyster based on temperature and salinity modelling in an estuarine environment

Diego Pereiro, Glenn Nolan, Eoghan Daly, Kieran Lyons et al.
2 citations
Ocean Dynamics
Marine Bivalve and Aquaculture Studies
2.21
article

Habitat suitability assessment for native oyster based on temperature and salinity modelling in an estuarine environment

Diego Pereiro, Glenn Nolan, Eoghan Daly, Kieran Lyons, Colin D. O'Dowd, Tomasz Dabrowski, Oliver Tully, Laurence William Gill, Bidroha Basu, Patrick Morrisey, Gerry O’Halloran, Diarmuid Kelly
article en
2 citations

Abstract

Abstract The European flat oyster, Ostrea edulis , has been harvested in Galway Bay, Ireland, for centuries, but the oyster populations in the bay have declined and are currently facing multiple threats. One major concern in the bay is the recurrence of heavy-rainfall, high-runoff and low-salinity events. In this work, a high-resolution hydrodynamic coastal model of Galway Bay is used together with experimental data on oyster mortality to identify areas with suitable combinations of temperature and salinity for native oyster restoration. A new coastal circulation model of Galway Bay is presented, and its performance is evaluated against in-situ temperature and salinity observations. Separately, oyster mortality under various combinations of temperature and salinity was examined in the laboratory and cumulative mortality curves were determined. These experimental data were used to develop an oyster mortality response model that, together with the temperature and salinity predictions from the hydrodynamic model, determines the total mortality over a given period. A Habitat Suitability Index for the Bay, with respect to temperature and salinity, is proposed, based on the distribution of total cumulative mortality that oysters would experience over their life span due to unfavourable conditions of temperature and salinity.

Ocean DynamicsVol. 75(10)
Sprint (United States) (US), Trinity College Dublin (IE), Marine Institute (IE)
European Commission
Openalex Percentile: Top 11%
Marine Bivalve and Aquaculture Studies
2.21
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.