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Biodiversity of Culicid Mosquitoes in Rural Neka Township of Mazandaran Province, Northern Iran Pubmed



Nikookar SH1 ; Moosakazemi SH2 ; Oshaghi MA2 ; Vatandoost H2 ; Yaghoobiershadi MR2 ; Enayati AA3 ; Motevalihaghi F3 ; Ziapour SP1, 4 ; Fazelidinan M3
Authors
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Authors Affiliations
  1. 1. Health Sciences Research Center, Department of Medical Entomology and Vector Control, Mazandaran University of Medical Sciences, Sari, Iran
  2. 2. Department of Medical Entomology and Vector Control, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
  3. 3. Department of Medical Entomology and Vector Control, Health Sciences Research Center, Mazandaran University of Medical Sciences, Sari, Iran
  4. 4. Department of Parasitology, North Research Center, Pasteur Institute of Iran, Amol, Mazandaran, Iran

Source: Journal of Vector Borne Diseases Published:2015


Abstract

Background & objectives: This paper presents the results of a study on ecological parameters including diversity indices applied on populations of Culicidae mosquitoes (Diptera: Culicidae) from three rural areas (Darvishan, Chalmardi and Khairabad) of Neka township in Mazandaran province, northern Iran. Methods: Adult and larval stages of mosquitoes were systematically sampled to obtain data required for measuring diversity of mosquitoes in these areas. Alfa and beta indices were analyzed to compare mosquito diversity. A total of 5270 specimens belonging to four genera and 14 different species were collected and identified. Results: Evaluation of dominance structure of species showed that culicid mosquitoes of Neka rangelands include one eudominant species, two dominant species, two subdominant species, two rare species and eight subrare species when Heydemann classification was used. Interpretation & conclusion: Data analysis revealed a higher diversity of mosquitoes in Khairabad with a low degree of interspecific dominance, while Darvishan and Chalmardi recorded the lowest observed diversity and a high degree of interspecific dominance. The cluster analysis based on Jaccard’s index indicated the relationship between the categories and indicates that Darvishan and Khairabad are the closest categories in their specific composition. © 2015, Journal of Vector Borne Diseases. All rights reserved.
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