Environmental effects on zooplankton dynamics of a shallow Mediterranean coastal lagoon (October 2020–March 2021)

Simantiris, Nikolaos; Theocharis, Alexander; Avlonitis, Markos

doi:10.1016/j.rsma.2021.102001

Cited by 3 publications

(2 citation statements)

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“…The lagoon is of high economic and ecologic importance being the habitat of many marine mammals, fish, birds, reptiles, etc. Local fishermen exploit the lagoon as a natural aquaculture for fish for at least the past three decades [84,85].…”

Section: Study Sitementioning

confidence: 99%

“…The difference between the two periods is linked to the temperature and salinity decrease that naturally occurs during the autumn and winter months [90][91][92]. Due to its shallowness, the lagoon is directly affected by atmospheric forcing [84], and climate conditions seem to be responsible for these two activity phases.…”

Section: Blue Crab Activity Periods In Antinioti Lagoonmentioning

confidence: 99%

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Computing Invasive Species Population Based on a Generalized Random Walk Process: Application to Blue Crab (Callinectes sapidus)

Simantiris

Violaris

Avlonitis

2023

JMSE

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Animal population abundance is a significant parameter for studies on invasive species that can threaten the ecosystem. Researchers have been developing population estimation methods since the 18th century, in order to evaluate species’ evolution and environmental effects. However, studies on the population density of the invasive species Callinectes sapidus are very limited. The present work, using a simulation model combined with field measurements, examines an innovative methodology for estimating the current population of the invasive species Callinectes sapidus in a shallow Mediterranean coastal lagoon. The methodology presented here builds the first stage of modeling and predicting the evolution of this species’ population in marine environments. The simulation model’s results are validated with an estimation of the total population based on juvenile abundance, and a curvature of the species population estimation based on cage catch is implemented. The simulation experiments presented here show the possibility of a robust prediction for blue crab population estimation.

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Section: Study Sitementioning

confidence: 99%