Coupling Lagrangian simulation models and remote sensing to explore the environmental effect on larval growth rate: The Mediterranean case study of round sardinella (Sardinella aurita) early life stages

Coupling Lagrangian simulation models and remote sensing to explore the environmental effect on larval growth rate: The Mediterranean case study of round sardinella (Sardinella aurita) early life stages

The relationship between environmental conditions and early life-history traits of Sardinella aurita are investigated using material collected in two sites of the Central Mediterranean Sea. Individual mean daily growth during the planktonic phase has been determined by using otolith microstructure a...

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Bibliographic Details
Published in:Frontiers in Marine Science Vol. 9
Main Authors: Torri, Marco, Russo, Stefania, Falcini, Federico, De Luca, Biagio, Colella, Simone, Volpe, Gianluca, Corrado, Raffaele, Placenti, Francesco, Giaramita, Luigi, Musco, Marianna, Masullo, Tiziana, Bennici, Carmelo, Di Natale, Marilena Vita, Patti, Bernardo, Lacorata, Guglielmo, Arculeo, Marco, Cuttitta, Angela
Format: Journal Article
Language:English
Published: Lausanne Frontiers Research Foundation 20-01-2023
Frontiers Media S.A
Subjects:
Additives
Biomass
Case studies
Chlorophyll
Chlorophyll a
chlorophyll-a concentration
Coastal zone
Commercial fishing
Daily
Dispersal
Eggs
Environmental conditions
Environmental effects
Environmental impact
Fish
Fisheries
Fisheries management
Fishery management
Food
Food availability
Food supply
Growth patterns
Growth rate
Hatching
Laboratories
Larvae
Larval development
Life history
Marine fishes
Microstructure
mixed effect models
Ontogeny
otolith microstructure analysis
Remote sensing
Sardinella aurita
Simulation
small pelagics
Spatial analysis
Success
Temperature
Tyrrhenian Sea
Tyrrhenian Sea
Mediterranean Sea
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Summary:The relationship between environmental conditions and early life-history traits of Sardinella aurita are investigated using material collected in two sites of the Central Mediterranean Sea. Individual mean daily growth during the planktonic phase has been determined by using otolith microstructure analysis, while Lagrangian simulation models allowed to estimate the daily position in space and time of each specimen from the hatching to the catch. Generalized Additive Mixed Models (GAMMs) have been implemented to explore the impact of environmental conditions at time t , t -1 day and t -2 days on the mean daily growth rate occurring at time t . Spatial analysis evidenced a wide dispersion of eggs and larvae in the coastal area of both sampling sites in correspondence to relatively warmer and chlorophyll-a enriched waters. Lagrangian simulations detected a complementary larval dispersal pathway able to transport larvae to a known retention area. Temperature at time t was the most important driver affecting the mean daily larval growth, followed by the food availability. On the other hand, models performed on lagged environmental covariates ( t -1 and t -2) did not show any significant effect on the growth rate at time t . In addition to the sub-linear positive correlation between temperature and mean daily larval growth, model highlighted a decrease in the otolith core width at higher temperature that can be linked to an earlier stage of ontogeny at hatching. This study provided a useful methodological approach that takes advantage of available remote sensing data to perform ecological studies in support to fisheries management.
ISSN:2296-7745
2296-7745
DOI:10.3389/fmars.2022.1065514