Seasonal distribution of fish eggs and larvae off sinop (the southern Black Sea) in 1999-2000

Satılmış, Hasan Hüseyin; Гордина, А. Д.; Bat, Levent; Bircan, Recep; Çulha, Mehmet Gökhan; Akbulut, Mehmet; Kıdeyş, Ahmet E.

doi:10.1016/s1146-609x(03)00022-5

Cited by 20 publications

(20 citation statements)

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“…(35%) among larvae samples. Satilmis et al (2003)'s results were consistent with those of this study.…”

Section: Discussionsupporting

confidence: 92%

“…S. sprattus was dominant in rest of the year. Satilmis et al (2003) also found the highest species richness during spring and summer. They observed that especially anchovy (E. encrasicolus) eggs and larvae were highly abundant during this period.…”

Section: Discussionmentioning

confidence: 87%

“…Among them, 28 fish species were producing pelagic eggs and larvae and other 28 species having pelagic larvae only. Gordina et al (1998) observed eggs of 28 and larvae of 44 fish species in the Black Sea during their surveying period of 1986-1996. Satilmis et al (2003, during their studies, either the eggs or larvae of 23 fish species were found in samples obtained from both vertical and horizontal tows.…”

Section: Discussionmentioning

confidence: 97%

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SATILMIS¹,

Mavruk²,

Bat³

et al. 2014

Turk. J. Fish. Aquat. Sci.

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The Black Sea is an important ecosystem in Turkish marine fisheries. The early stages of economical fishes of the Black Sea can be considered well known; however, there are significant data deficiencies on ichthyoplankton assemblages and their structures. Therefore, seasonal changes of structure and dynamics of ichthyoplankton assemblages of Sinop coasts (SouthCentral of the Black Sea, Turkey) were investigated in this study. For this purpose monthly vertical and horizontal standard plankton net tows had been conducted at six sampling stations from two different regions (Inner and Outer Harbours) between 2002 and 2005. Species richness, diversity, abundance and similarity structures were used as ecological indicators to investigate ichthyoplankton assemblages. Planktonic stages of 27 fish species were collected during the studying period. The maximum species richness expectancy was 34 species. Seasonal changes of richness were significant (P<0.05). The groupings of similarity matrices were also explained by seasonal effects for both embryonic and larval stages (P<0.05). In conclusion, the ichthyoplankton assemblage structures of the studying area were generally shaped by seasonal spawning patterns of adult populations.

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“…(35%) among larvae samples. Satilmis et al (2003)'s results were consistent with those of this study.…”

Section: Discussionsupporting

confidence: 92%

Section: Discussionmentioning

confidence: 87%

Section: Discussionmentioning

confidence: 97%

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SATILMIS¹,

Mavruk²,

Bat³

et al. 2014

Turk. J. Fish. Aquat. Sci.

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“…Using surface currents in this model is a valid assumption, since anchovy are known to occupy the warm, upper mixed layer and avoid low temperatures of the Cold Intermediate Layer below (Niermann et al, 1994;Kideys et al, 2000;Satilmis et al, 2003). Chashchin et al (2015) suggested that factors such as wind direction, sea surface temperature distribution and currents are the most critical factors for Black Sea anchovy migration.…”

Section: Satellite Datamentioning

confidence: 99%

Understanding the Impact of Environmental Variability on Anchovy Overwintering Migration in the Black Sea and its Implications for the Fishing Industry

2017

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Black Sea anchovy (Engraulis encrasicolus) undertake extensive overwintering migrations every fall from nursery grounds to warmer overwintering areas located on the south-eastern coast of the Black Sea. During migration and particularly upon arrival at the Anatolian coast, they support an important fishery and valuable source of income for the regional community. Black Sea anchovy have undergone significant stock fluctuations partly related to climatic conditions; for example, migrating anchovy schools arrived late or failed to arrive at the Anatolian coast when fall temperatures increased. It is therefore of importance to understand the conditions required for successful overwintering migration and explore different migration routes. This study invokes a Lagrangian modeling approach applied to satellite derived circulation and temperature data as a first attempt to model anchovy migration dynamics in the Black Sea. This modeling approach takes the influence of the physical environment into account, while the quality of overwintering grounds, adaptive, schooling, and homing behavior is neglected. The model is used to investigate the possible influence of interannual and seasonal variability of temperature and surface currents, as well as the influence of migration behavior on the success of anchovy overwintering migration for both the Black Sea and Azov Sea anchovy. The results of the present work show the possibility that overwintering anchovy fished along the Turkish Eastern Anatolian coast may not exclusively originate from the northwestern shelf, but mainly from the eastern Black Sea basin. Migration pathways are identified for both Black Sea and Azov Sea anchovy, which are of importance for the national fisheries efforts of riparian countries. The modeling results are in agreement with general patterns of anchovy migration given in the literature indicating that the physical environment may be a major factor in shaping general migration patterns. Simulation results are used to hypothesize about alternatives to previously determined migration routes and provide potential reasons that explain the inability of the Bulgarian anchovy fishery to recover. Results show that the intensity and timing of autumnal cooling, coupled with current Guraslan et al.Environmental Impact on Anchovy Overwintering Migration strength, can be of significant importance in determining annual and seasonal variability of migration success. Considering the need for fisheries management to account for the variability in fishable overwintering anchovy stocks a modeling approach as developed in the current study may provide such a tool.

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“…The mean sea surface height provided by Korotaev et al (2003) was then added to the daily AVISO fields to compute the geostrophic flow at the surface. Using only surface circulation fields in this study is a reasonable assumption for anchovy in the Black Sea, because eggs and larvae are found in the upper 10-20 m, above the seasonal thermocline, egg production not being possible in the Cold Intermediate Layer (~ 7°C) below the surface mixed layer (Niermann et al, 1994;Kideys et al, 1999;Satilmis et al, 2003).…”

Section: Satellite Datamentioning

confidence: 99%

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Fach¹

2014

Turk. J. Fish. Aquat. Sci.

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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)(2002)(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. Keywords: Black Sea anchovy larvae, Black Sea circulation, connectivity, Lagrangian modeling, temperature dependence. Karadeniz'deki Hamsi Dağılımı ve Bölgeler Arası Bağlantısı üzerine Hidrodinamik Proseslerin Etkisinin Modellenmesi ÖzetKaradeniz hamsi larvalarının (Engraulis encrasicolus ponticus) Karadeniz baseninde dağılım mekanizmaları, geliştirilen bir birey tabanlı hamsi larva modelinin üç yıllık (2001)(2002)(2003) altimetre verisinden hesaplanmış yüzey akıntıları kullanılarak bir Lagrangian modeline entegrasyonu ile araştırılmıştır. Model içinde hamsi yumurtalarını temsil eden parçacıklar HaziranAğustos ayları arasında farklı noktalarda bırakılmış ve zamana bağlı hareketleri takip edilmiştir. Hamsi yumurtalarının juvenil bireye gelişim süresi (ortalama) olan 36 gün boyunca model içinde bu parçacıklar akıntıya bağlı hareket etmiştir. Daha sonra bu bireylerin uydu verisinden hesaplanan yüzey suyu sıcaklık verisine bağlı olarak somatik büyümeleri hesaplanmıştır.Model sonuçları göstermiştir ki Karadeniz'de basen ölçeğinde larval dağılımı kontrol eden en büyük faktör kıyı akıntısı (Rim Current) ve iki büyük ölçekli siklonik döngüdür. Yerel ölçekte ise orta ölçek (mesoscale) girdaplar önem kazanır. Gözlemlenen akıntı sistemleri ile de tutarlı olarak, orta ve batı basende kuzey kıyılarından güneye güçlü bir boylamsal taşınım oluşur. Model sonuçları ayrıca batı ve doğu siklonik döngülerinin çevrelerinde güney sahillerinden ...

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Seasonal distribution of fish eggs and larvae off sinop (the southern Black Sea) in 1999-2000

Cited by 20 publications

References 4 publications

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Understanding the Impact of Environmental Variability on Anchovy Overwintering Migration in the Black Sea and its Implications for the Fishing Industry

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