Monitoring bay-scale bivalve aquaculture ecosystem interactions using flow cytometry

Monitoring bay-scale bivalve aquaculture ecosystem interactions using flow cytometry Bay-scale empirical demonstrations of how bivalve aquaculture alters plankton composition, and subsequently ecological functioning and higher trophic levels, are lacking. Temporal, inter- and within-bay variation in hydrodynamic, environmental, and aquaculture pressure limit efficient plankton monitoring design to detect bay-scale changes and inform aquaculture ecosystem interactions. Here, we used flow cytometry to investigate spatio-temporal variations in bacteria and phytoplankton (< 20 µm) composition in four bivalve aquaculture embayments. We observed higher abundances of bacteria and phytoplankton in shallow embayments that experienced greater freshwater and nutrient inputs. Depleted nutrient conditions may have led to the dominance of picophytoplankton cells, which showed strong within-bay variation as a function of riverine vs freshwater influence and nutrient availability. Although environmental forcings appeared to be a strong driver of spatio-temporal trends, results showed that bivalve aquaculture may reduce near-lease phytoplankton abundance and favor bacterial growth. We discuss aquaculture pathways of effects such as grazing, benthic-pelagic coupling processes, and microbial biogeochemical cycling. Conclusions provide guidance on optimal sampling considerations using flow cytometry in aquaculture sites based on embayment geomorphology and hydrodynamics. Cite this data as: Sharpe H, Lacoursière-Roussel A, Barrell J (2024). Monitoring bay-scale bivalve aquaculture ecosystem interactions using flow cytometry. Version 1.2. Fisheries and Oceans Canada. Samplingevent dataset. https://ipt.iobis.org/obiscanada/resource?r=monitoring_bay-scale_bivalve_aquaculture_ecosystem_interactions_using_flow_cytometry&v=1.2 2024-11-15 Fisheries and Oceans Canada Anais.Lacoursiere@dfo-mpo.gc.ca Nature and EnvironmentScience and TechnologyPhytoplanktonAquacultureOceansEcosystemsCoastal watersBacteriaNova ScotiaNew Brunswick Event data for the monitoring bay-scale bivalve aquaculture ecosystem interactions using flow cytometryCSV https://api-proxy.edh.azure.cloud.dfo-mpo.gc.ca/catalogue/records/94496446-dff8-4e14-b6b1-ea8d06e989d0/attachments/Event.csv Monitoring bay-scale bivalve aquaculture ecosystem interactions using flow cytometry extended measurement or facts dataCSV https://api-proxy.edh.azure.cloud.dfo-mpo.gc.ca/catalogue/records/94496446-dff8-4e14-b6b1-ea8d06e989d0/attachments/ExtendedMeasurementOrFact.csv Occurrence data for the monitoring bay-scale bivalve aquaculture ecosystem interactions using flow cytometry occurrence dataCSV https://api-proxy.edh.azure.cloud.dfo-mpo.gc.ca/catalogue/records/94496446-dff8-4e14-b6b1-ea8d06e989d0/attachments/Occurrence.csv Event data for the monitoring bay-scale bivalve aquaculture ecosystem interactions using flow cytometryFGDB/GDB https://api-proxy.edh.azure.cloud.dfo-mpo.gc.ca/catalogue/records/94496446-dff8-4e14-b6b1-ea8d06e989d0/attachments/Monitoring_bivalve_aquaculture_flow_cytometry.zip Data dictionaryCSV https://api-proxy.edh.azure.cloud.dfo-mpo.gc.ca/catalogue/records/94496446-dff8-4e14-b6b1-ea8d06e989d0/attachments/Data_Dictionary.csv Monitoring bay-scale bivalve aquaculture ecosystem interactions using flow cytometryESRI REST https://egisp.dfo-mpo.gc.ca/arcgis/rest/services/open_data_donnees_ouvertes/monitoring_bivalve_aquaculture_ecosystem/MapServer Monitoring bay-scale bivalve aquaculture ecosystem interactions using flow cytometryESRI REST https://egisp.dfo-mpo.gc.ca/arcgis/rest/services/open_data_donnees_ouvertes/monitoring_bivalve_aquaculture_ecosystem/MapServer

Bay-scale empirical demonstrations of how bivalve aquaculture alters plankton composition, and subsequently ecological functioning and higher trophic levels, are lacking. Temporal, inter- and within-bay variation in hydrodynamic, environmental, and aquaculture pressure limit efficient plankton monitoring design to detect bay-scale changes and inform aquaculture ecosystem interactions. Here, we used flow cytometry to investigate spatio-temporal variations in bacteria and phytoplankton (< 20 µm) composition in four bivalve aquaculture embayments. We observed higher abundances of bacteria and phytoplankton in shallow embayments that experienced greater freshwater and nutrient inputs. Depleted nutrient conditions may have led to the dominance of picophytoplankton cells, which showed strong within-bay variation as a function of riverine vs freshwater influence and nutrient availability. Although environmental forcings appeared to be a strong driver of spatio-temporal trends, results showed that bivalve aquaculture may reduce near-lease phytoplankton abundance and favor bacterial growth. We discuss aquaculture pathways of effects such as grazing, benthic-pelagic coupling processes, and microbial biogeochemical cycling. Conclusions provide guidance on optimal sampling considerations using flow cytometry in aquaculture sites based on embayment geomorphology and hydrodynamics.

Cite this data as: Sharpe H, Lacoursière-Roussel A, Barrell J (2024). Monitoring bay-scale bivalve aquaculture ecosystem interactions using flow cytometry. Version 1.2. Fisheries and Oceans Canada. Samplingevent dataset. https://ipt.iobis.org/obiscanada/resource?r=monitoring_bay-scale_bivalve_aquaculture_ecosystem_interactions_using_flow_cytometry&v=1.2

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Delivery Point: 125 Marine Science Drive

City: St. Andrews

Administrative Area: New Brunswick

Postal Code: E5B 0E4

Country: Canada

Electronic Mail Address: Anais.Lacoursiere@dfo-mpo.gc.ca

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