Evidence map›Paper›PMID 40329353›Full record

ArticleParasites & vectors2025

Habitat characterization and breeding preferences of mosquito larvae in northwestern Spain: abundance, diversity, and species composition.

Yasmina Martínez-Barciela, Alejandro Polina, Josefina Garrido

Abstract read
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Article in Parasites & vectors, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Yasmina Martínez-BarcielaDepartamento de Ecoloxía e Bioloxía Animal, Universidade de Vigo, Vigo, Galicia, Spain. ymartinez@uvigo.es.
Alejandro PolinaDepartamento de Ecoloxía e Bioloxía Animal, Universidade de Vigo, Vigo, Galicia, Spain.
Josefina GarridoDepartamento de Ecoloxía e Bioloxía Animal, Universidade de Vigo, Vigo, Galicia, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUnderstanding how environmental variables determine the presence, abundance, and diversity of mosquitoes (Diptera: Culicidae) in their larval habitats is crucial to establish appropriate preventive and control measures against these disease vectors. Although the autonomous community of Galicia (northwestern Spain) is an optimal area for the development of mosquitoes, little is known about their larval ecology.

methodsThe study was performed in 333 sampling points evenly distributed throughout Galicia. Different habitat characteristics (climatic zone, hydroregime, water body type, substrate, surface, depth, degree of insolation, environment type, and land use) and physicochemical parameters of the water (temperature, pH, electrical conductivity, dissolved oxygen, turbidity, salinity, and total dissolved solids) were recorded in each water body. Mosquitoes were collected using the standardized dipping technique between May and October in 2021 and 2022. The relationship between environmental variables with diversity, abundance, and species composition was assessed throughout the Kruskal-Wallis test (K-W), redundancy analysis (RDA), and generalized linear models (GLM). The affinity index between species that shared breeding sites was also analyzed.

resultsA total of 14 mosquito species belonging to the genus Culex (88.1%), Anopheles (7.5%), and Culiseta (4.4%) were identified, with Culex pipiens s.l. being the most abundant in the region (48.1%). The frequency, abundance, and diversity of mosquitoes varied significantly among climatic zones, hydroregime, water body types, substrates, and seasons according to the K-W results (P < 0.05). RDA indicated that water body type, temperature, pH, and the conductivity of the water accounted for the main part of the variation in species composition. GLM revealed that water conductivity, hydroregime, land use, and degree of insolation affect Cx. pipiens s.l. larval abundance. Many species shared breeding sites, but Cx. pipiens s.l. and Cx. torrentium had the highest affinity index (2.58). Both species are competent vectors of West Nile virus (WNV), so their wide presence in Galicia is of interest to public health.

conclusionsSeveral environmental variables determine the diversity, abundance, and species composition of mosquitoes at breeding sites. The information presented in this study provides valuable insights into mosquito larval ecology, especially useful for the identification of epidemiological risk areas and the design of vector surveillance and control programs.

Indexed as

BiodiversityCulicidaeEcosystemMosquito VectorsAnimalsAnophelesBreedingCulexLarvaSpainBreeding sitesGaliciaLarval ecologyMosquitoesNorthwestern SpainPhysicochemical parametersSpecies diversityVectors

Identifiers

PMID40329353
PMCPMC12057168

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.