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Diversity of mosquitoes and larval breeding preference based on physico-chemical parameters in Western Ghats, Tamilnadu, India
Authors: Periyasamy Senthamarai Selvan, Arulsamy Jebanesan, Govindaraj Divya and Velu Ramesh
Number of views: 304
Objective: To study the diversity and distribution of mosquitoes in Western Ghats of
Coimbatore and Nilgiris District, Tamilnadu, India.
Methods: Random collections were carried out during August-2013 to July-2014 in cesspits,
animal footprints, rock holes, tree holes, drainages at study areas of Marudhamalai, Valparai,
Mettupalayam in Coimbatore District and Dhottapeta, Coonoor, Gudalur in Nilgiris District
of Tamilnadu, India by using suction tube and kerosene pump. Mosquitoes were identified by
standard entomological procedures.
Results: A total of 1 018 mosquitoes (larvae and pupae) were collected from all over the study
areas comprising 6 genera and 23 species. They are, Culex mimulus, Culex pseudovishnui,
Culex quinquefasciatus, Culex vishnui, Culex khazani, Culex uniformis, Heizmannia chandi,
Heizmannia grenii, Heizmannia indica, Oclerotatus anureostriatus, Oclerotatus albotaeniatis,
Oclerotatus deccanus, Oclerotatus gubernatoris, Aedes aegypti, Aedes albopictus, Aedes
edwardsi, Aedes krombeini, Toxorhynchites minimus, Toxorhynchites splendens, Anopheles
aitkenii, Anopheles barbirostris, Anopheles culiciformis and Anopheles maculatus. Shannon-
Weaver diversity index, Margalef’s index of richness and Simpsons dominance index was
also studied. From 6 sites, the highest mosquitoes were collected from Marudhamalai
(309) and the least mosquitoes were collected in Mettupalayam (68). The study determined
whether physicochemical characteristics differ between habitats with high and low presence
of mosquito larvae. Based on Margalef’s index of richness (D mg ), the highest values were
present in Mettupalayam (5.214) study area and the lowest in Marudhamalai (3.837). It can
be concluded from Shanon-Weaver index of diversity that, the highest values were present in
Mettupalayam (2.947) and the least value were in Gudalur (2.410) during the study period.
Conclusions: In areas with reservoirs of disease, mosquito abundance information can help to
identify the areas at higher risk of disease transmission. The study identifies mosquito species
density and diversity of culicine and anopheline larvae. Hence, this research contribution has
more significance for basic biological research and developing control strategies for vector
borne diseases.