Environmental influences on the interannual variation and spatial distribution of Peruvian anchovy (Engraulis ringens) population dynamics from 1991 to 2007: A three-dimensional modeling study

Xu, Yi; Chai, Fei; Rose, Kenneth A.; Ñiquen, C Miguel; Chávez, Francisco P.

doi:10.1016/j.ecolmodel.2013.01.009

Cited by 33 publications

(39 citation statements)

References 63 publications

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“…Though this study finds a high dispersal potential of anchovy larvae up to 500 km across the Black Sea in just 36 days, as well as a strong climateinduced interannual variability, these results are on similar scales to other connectivity studies that have been carried out in different seas, such as on anchovy larvae in the Benguela Parada et al, 2003) and Peru regions (Xu et al, 2013), benthic larvae in the Caribbean Sea (Cowan et al, 2006), Antarctic krill larvae in the Scotia Sea (Fach and Klinck, 2006;, as well as Lobster larvae in the Gulf of Maine (Xue et al, 2008;Incze et al, 2010). For example, it has been shown that in the southern Benguela important spawning grounds of anchovy may be hundreds of kilometers away from nursery areas (Parada et al, 2003), while for different reef fishes in the Caribbean, typical dispersal distances were on the order of tens to hundreds of kilometers (Cowen et al, 2006).…”

Section: Discussionsupporting

confidence: 66%

“…Models of anchovy larvae dispersal that include individual based models of different complexity have been applied to different regions such as the southern Benguela Parada et al, 2003), northern Aegean Sea (Politikos et al, 2011), and the coast of Peru (Xu et al, 2013) but not yet to the Black Sea. The use of such models gives insight into the early life cycle dispersal, the importance of different spawning grounds, as well as the influence of changing environmental conditions on the recruitment success of anchovy.…”

Section: Black Sea Anchovy Early Life Historymentioning

confidence: 99%

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Untitled

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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Section: Discussionsupporting

confidence: 66%

Section: Black Sea Anchovy Early Life Historymentioning

confidence: 99%

Untitled

Fach¹

2014

Turk. J. Fish. Aquat. Sci.

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“…The model anchovy swim in that direction and the displacement of the drifter is obtained by adding the behavioral movement vector to that caused by the advection by currents starting from the drifter's initial position. Selecting the same initial position for both behavioral movement and advection is a reasonable assumption supported by an earlier sensitivity study done by Xu et al (2013).…”

Section: Parameterization Of Anchovy Behaviormentioning

confidence: 62%

“…Anchovy behavior in the form of movement following temperature gradients was incorporated into the Lagrangian model following the parameterization of Xu et al (2013) where anchovy pursue a food gradient. Parameterizing fish movement following gradients is a valid method applied in many different studies, such as Huse et al (2004) for capelin and cod, Tu et al (2012) for the spawning migration of Japanese anchovy and Wang et al (2013) for Japanese anchovy in the Yellow Sea.…”

Section: Parameterization Of Anchovy Behaviormentioning

confidence: 99%

“…The information gained on the variability of migration success between years and seasons due to the intensity and timing of cooling in fall, as well as the strength of currents, is of significant importance when establishing any fisheries management practices. Fisheries management needs to account for changes in the physical environment when targeting fish stocks (Hofmann and Powell, 1998;Xu et al, 2013;Constable et al, 2014;Checkley et al, 2017). …”

Section: Introductionmentioning

confidence: 99%

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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

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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An index of coastal thermal effects of El Niño Southern Oscillation on the Peruvian Upwelling Ecosystem

Quispe-Ccalluari

Tam

Demarcq

et al. 2018

Intl Journal of Climatology

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A Peruvian Coastal Thermal Index (PCTI) was developed from 1982 to 2014 for the detection and forecasting of warm and cold periods off Peru. It showed differences in thermal conditions between the Peruvian Upwelling Ecosystem (PUE) and the Equatorial Pacific Ocean usually monitored by the Oceanic Niño Index (ONI). This index represented 87.7% of the total variation of the sea surface temperature anomalies on the PUE.

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Environmental influences on the interannual variation and spatial distribution of Peruvian anchovy (Engraulis ringens) population dynamics from 1991 to 2007: A three-dimensional modeling study

Cited by 33 publications

References 63 publications

Untitled

Untitled

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

An index of coastal thermal effects of El Niño Southern Oscillation on the Peruvian Upwelling Ecosystem

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