Fitting of two benthic fishes abundance Paracobitis hircanica (Mousavi-Sabet, Sayyadzadeh, Esmaeili, Eagderi, Patimar & Freyhof, 2015) and Neogobius pallasi (Berg, 1916) Using Fuzzy Regression

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GHOLIZADEH M.; Toomaj A.S.; MOTAMEDI R.

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Journal: JOURNAL OF APPLIED ICHTHYOLOGICAL RESEARCH Year:2020 | Volume:8 | Issue:2 Page(s): 18-26

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Title

Fitting of two benthic fishes abundance Paracobitis hircanica (Mousavi-Sabet, Sayyadzadeh, Esmaeili, Eagderi, Patimar & Freyhof, 2015) and Neogobius pallasi (Berg, 1916) Using Fuzzy Regression

Author(s)

GHOLIZADEH M. | Toomaj A.S. | MOTAMEDI R. | Issue Writer Certificate

Keywords

P.hircanicaQ1

N.pallasiQ1

Fuzzy numbersQ1

Linear programmingQ1

Zarin Gol riverQ1

Abstract

Knowledge of the biological requirements of aquatic organisms in perennial rivers is necessary for the protection of biological diversity in riverine ecosystems. Habitat knowledge includes using models for estimating specific properties from the physical structure of rivers by simple and accurate methods. A fuzzy regression model was used to investigate the abundance and diversity of the two endemic fish species (Paracobitis hircanica and Neogobius pallasi) in the Zarin Gol river (located in northern Iran) in summer 2017. P. hircanica and N. pallasi overlapped in mesohabitat use, both fish species preferred riffles to pools. Further analyses based on stepwise multiple regressions showed that fish abundance was significantly correlated with riparian vegetation and substrate for P. hircanica, but correlated with water depth, stream width, velocity, and discharge for N. pallasi tilis. The results showed that fuzzy regression can be an appropriate complementary or alternative method for statistical regression when the relationship between the variables is vague or there are errors due to vagueness in the regression equation structure. The result recommends that the various substratum compositions may have accounted for the coexistence of these two benthic fish species. It also provides important information for habitat management and ecological engineering of Mountain Rivers in Iran.

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APA: Copy

GHOLIZADEH, M., Toomaj, A.S., & MOTAMEDI, R.. (2020). Fitting of two benthic fishes abundance Paracobitis hircanica (Mousavi-Sabet, Sayyadzadeh, Esmaeili, Eagderi, Patimar & Freyhof, 2015) and Neogobius pallasi (Berg, 1916) Using Fuzzy Regression. JOURNAL OF APPLIED ICHTHYOLOGICAL RESEARCH, 8(2 ), 18-26. SID. https://sid.ir/paper/384895/en

Vancouver: Copy

GHOLIZADEH M., Toomaj A.S., MOTAMEDI R.. Fitting of two benthic fishes abundance Paracobitis hircanica (Mousavi-Sabet, Sayyadzadeh, Esmaeili, Eagderi, Patimar & Freyhof, 2015) and Neogobius pallasi (Berg, 1916) Using Fuzzy Regression. JOURNAL OF APPLIED ICHTHYOLOGICAL RESEARCH[Internet]. 2020;8(2 ):18-26. Available from: https://sid.ir/paper/384895/en

IEEE: Copy

M. GHOLIZADEH, A.S. Toomaj, and R. MOTAMEDI, “Fitting of two benthic fishes abundance Paracobitis hircanica (Mousavi-Sabet, Sayyadzadeh, Esmaeili, Eagderi, Patimar & Freyhof, 2015) and Neogobius pallasi (Berg, 1916) Using Fuzzy Regression,” JOURNAL OF APPLIED ICHTHYOLOGICAL RESEARCH, vol. 8, no. 2 , pp. 18–26, 2020, [Online]. Available: https://sid.ir/paper/384895/en

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