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Lagrangian simulations and interannual variability of anchovy egg and larva dispersal in the Sicily Channel
Author(s) -
Palatella Luigi,
Bignami Francesco,
Falcini Federico,
Lacorata Guglielmo,
Lanotte Alessandra S.,
Santoleri Rosalia
Publication year - 2014
Publication title -
journal of geophysical research: oceans
Language(s) - English
Resource type - Journals
eISSN - 2169-9291
pISSN - 2169-9275
DOI - 10.1002/2013jc009384
Subject(s) - anchovy , biological dispersal , lagrangian , advection , mediterranean climate , population , channel (broadcasting) , scale (ratio) , environmental science , oceanography , climatology , geography , geology , fishery , physics , ecology , biology , cartography , demography , sociology , fish <actinopterygii> , electrical engineering , mathematical physics , engineering , thermodynamics
The interannual variability in the transport of anchovy eggs and larvae in the Sicily Channel, relatively to the period 1999–2012, is studied by means of numerical simulations of the Mediterranean Forecasting System (MFS) circulation model provided by INGV. Subgrid‐scale dynamics not resolved by the MFS model is parameterized in terms of kinematic fields. The latter affect small‐scale tracer relative dispersion, while leaving the mean large‐scale advection substantially unchanged. A Lagrangian Transport Index (LTI) can be defined to characterize the efficiency of the main currents, e.g., the Atlantic Ionian Stream, in connecting spawning and nursery areas to each other. In our case, this indicator comes from the first arrival time statistics of tracers traveling from a spawning area near Sciacca to a nursery area in proximity of Cape Passero. We observe, on the basis of LTI values, that there are years when the Lagrangian connectivity is very efficient (2004, 2008, 2012) and years when it is weak (2000, 2001, 2003, 2010). Lagrangian indicators like the LTI concur to explain observed fluctuations of larval density and, also, can be employed, more in general, in multivariate models of population dynamics.