Modeling the influence of hydrodynamic processes on anchovy distribution and connectivity in the black sea Karadeniz'deki hamsi dağılımı ve bölgeler arası bağlantısı üzerine hidrodinamik proseslerin etkisinin modellenmesi

Date

2014-01-01

Author

Fach Salihoğlu, Bettina Andrea

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

272
views

0
downloads

Dispersal mechanisms of Black Sea anchovy larvae (Engraulis encrasicolus ponticus) across the Black Sea were studied with an individual based anchovy larvae model embedded in a Lagrangian model using surface currents calculated from daily dynamic height topography maps of altimeter data during a period of three years (2001-2003). Particles representing anchovy eggs were released at different sites during June to August and their movement was tracked over time. Drifters were advected for 36 days, representing the time it generally takes for anchovy eggs to develop into juveniles. Each individual was subject to somatic growth whose temperature dependence was calculated from satellite derived sea surface temperature data. Model results indicate that larval dispersal in the Black Sea is strongly controlled at the basin scale by the Rim Current circulation and its two cyclonic basin-wide gyres. It is locally controlled by mesoscale eddies. Consistent with the observed circulation fields, a strong meridional transport exists from the northern to the southern coastal zone along the western coast and the central basin. The peripheries of both the western and the eastern cyclonic gyres are also associated with strong larval transport from the southern coast to offshore areas. Elsewhere the connectivity between different regions is not as well pronounced due to weaker and patchy current fields. Variability in the dispersal of larvae is considerable when comparing different years and seasons and should be taken into account when designing networks of Marine Protected Areas in the Black Sea.

Subject Keywords

Black Sea anchovy larvae, Black Sea circulation, Connectivity, Lagrangian modeling, Temperature dependence

URI

https://hdl.handle.net/11511/31129

Journal

Turkish Journal of Fisheries and Aquatic Sciences

DOI

https://doi.org/10.4194/1303-2712-v14_2_06

Collections

Graduate School of Marine Sciences, Article

Suggestions

OpenMETU
Core

MODELING THE IMPACT OF CLIMATE VARIABILITY ON ANCHOVY OVERWINTERING MIGRATION IN THE BLACK SEA Güraslan, Ceren; Fach Salihoğlu, Bettina; Department of Oceanography (2016-10-21) Black Sea anchovy (Engraulis encrasicolus ponticus) undertake extensive (~1000km long) overwintering migration in autumn from northern spawning grounds to the overwintering areas located at the south-eastern coasts of the Black Sea. When arriving at the Anatolian coast, they support important fisheries in Turkey. Black Sea anchovy is known to experience stock variability quite frequently including stock collapses, which are believed to be closely linked with environmental conditions. Therefore, it is of imp...
Principal component and time series analysis of air-sea interactions in the "seas of the old world" Gündüz, Murat; Özsoy, Emin; Graduate School of Marine Sciences (2002) Climate data on surface atmospheric variables, sea surface temperature and computed air-sea fluxes are analysed to describe comparative surface climatolo gies of the 'Seas of the Old World' (Black, Caspian and Mediterranean Seas) and to investigate their interannual and interdecadal variability. Based on these analyses, differences and similarities between climates of these basins and their relationships to other global systems are identified. Empirical Orthogonal Function (EOF) Analysis is used to study sp...
Modeling the impact of climate variability on Black Sea anchovy recruitment and production Güraslan, Ceren; Fach Salihoğlu, Bettina Andrea; Oğuz, Temel (2014-09-01) The connection of climate variability with anchovy spawning and recruitment in the Black Sea in particular, and other ecosystems in general, was studied using a two-way coupled lower trophic level and anchovy bioenergetics model. Climate variability was represented by a 50-yr time series of daily temperature and vertical mixing rates with stochastic variations. Temperature was found to be the dominant factor influencing early life stages and hence population dynamics of Black Sea anchovy as marked by a high...
Spatial distribution and source identification of persistent organic pollutants in the sediments of the Yesilirmak River and coastal area in the Black Sea Dinc, Burak; ÇELEBİ, AHMET; Avaz, Gulsen; Canl, Oltan; Guzel, Baris; EREN, BEYTULLAH; Yetiş, Ülkü (2021-11-01) Surface sediments from the Yes,ilirmak River and the near coastal area in the Black Sea were collected using sediment traps to assess the spatial distributions of persistent organic pollutants and find their potential sources. Analyses were carried out to determine the concentrations of the persistent organic pollutants of seventeen polychlorinated dibenzo-p-dioxins and dibenzofurans, sixteen polycyclic aromatic hydrocarbons, seven polychlorinated biphenyls, and eight organochlorine pesticides using high-re...
Simulation of eddy-driven phytoplankton production in the Black Sea Oguz, T; Salihoğlu, Barış (2000-07-15) A three dimensional, three-layer biological model is used to assess impact of eddy-dominated horizontal circulation on the spatial and temporal variations of plankton biomass in the Black Sea. Simulations are shown to exhibit patchy distributions of phytoplankton biomass as inferred from satellite images, and their intensities agree reasonably well with observations. Overall performance of the three layer model points to its potential capability as a practical alternative tool to more complex and computatio...

Citation Formats

B. A. Fach Salihoğlu, “Modeling the influence of hydrodynamic processes on anchovy distribution and connectivity in the black sea Karadeniz’deki hamsi dağılımı ve bölgeler arası bağlantısı üzerine hidrodinamik proseslerin etkisinin modellenmesi,” Turkish Journal of Fisheries and Aquatic Sciences, pp. 353–365, 2014, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/31129.