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Hasan Fazli

Researcher at Pukyong National University

Publications -  55
Citations -  579

Hasan Fazli is an academic researcher from Pukyong National University. The author has contributed to research in topics: Population & Clupeonella. The author has an hindex of 12, co-authored 49 publications receiving 517 citations.

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Changes in biodiversity of phytoplankton, zooplankton, fishes and macrobenthos in the Southern Caspian Sea after the invasion of the ctenophore Mnemiopsis Leidyi

TL;DR: Monitoring for 6 years showed that the population explosion of the alien ctenophore Mnemiopsis leidyi in the southern Caspian Sea coincided with a decline in the abundance and species number of mesozooplankton, and some changes in the macrobenthic fauna were also conspicuous after the increase of this ctenophile.
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Biochemical and hemato-immunological parameters in juvenile beluga (Huso huso) following the diet supplemented with nettle (Urtica dioica)

TL;DR: The results suggest that by using this herb there will be an improvement in hemato-biochemical parameters and immune function of juvenile beluga.
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Population ecological parameters and biomass of anchovy kilka Clupeonella engrauliformis in the Caspian Sea

TL;DR: Investigation of the population biology and biomass of anchovy kilka Clupeonella engrauliformis in Iranian waters of the Caspian found that catches and abundance of all species have changed, but catch and sampling data are limited and stock assessments are inadequate.
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Stock assessment and management implications of anchovy kilka (Clupeonella engrauliformis) in Iranian waters of the Caspian Sea

TL;DR: In this article, the authors examined the maximum sustainable yield and fishing intensity at MSY and presented estimates of f MSY, yield-per-recruit and spawning biomass-perrecruit under various harvest strategies of F max, F 0.1 and F 40%.
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Suitability indices and habitat suitability index model of Caspian kutum ( Rutilus frisii kutum ) in the southern Caspian Sea

TL;DR: In this paper, an arithmetic mean model (AMM) was found to be the most appropriate model for describing the relationship between two of the environmental variables investigated (depth and benthos biomass).