Response of Chironomids (Diptera, Chironomidae) to Environmental Factors at Different Spatial Scales

被引:0
|
作者
Rossaro, Bruno [1 ]
Marziali, Laura [2 ]
机构
[1] Univ Milan, Dept Agr & Environm Sci DISAA, Via Celoria 2, I-20133 Milan, Italy
[2] Natl Res Council Water Res Inst CNR IRSA, Via Mulino 19, I-20861 Brugherio, Italy
关键词
aquatic insects; environmental factors; spatial factors; BENTHIC MACROINVERTEBRATES; SPECIES DISTRIBUTION; COMMUNITY; DIVERSITY; TRAITS; RIVER;
D O I
10.3390/insects15040272
中图分类号
Q96 [昆虫学];
学科分类号
摘要
Simple Summary Chironomids are probably the most speciose family among aquatic insects, colonizing almost all freshwater habitats. The emphasis of the present research is on: (1) taxonomic composition as the most efficient tool for describing biodiversity in natural habitats; and (2) natural habitat type as the most important factor able to explain different chironomid assemblages. This is because the habitat type summarizes a combination of different biotic and abiotic factors present at each site, determining taxa assemblages. Different spatial scales are often proposed as relevant factors for modeling community composition, but with regard to chironomids, spatial factors act only at a small scale, while environmental factors are the most important determinants for species distribution.Abstract Factors responsible for species distribution of benthic macroinvertebrates, including responses at different spatial scales, have been previously investigated. The aim of the present research was to review the most relevant factors explaining chironomid species distribution focusing on factors operating at different spatial scales, such as latitude, longitude, altitude, substrate, salinity, water temperature, current velocity, conductivity, acidity, dissolved oxygen, nutrient content etc. acting at regional levels and at a large or small water basin level. Data including chironomid species abundances from different lentic and lotic waters in Italy and other surrounding countries were analyzed using partial canonical correspondence analysis (pCCA) and multiple discriminant analysis (DISCR). Spatial analyses, including univariate Moran's I correlograms, multivariate Mantel correlograms and Moran's eigenvector maps (MEMs), were thereafter carried out. The results showed that habitat type, including different types of lotic waters (i.e., kryal, crenal, rhithral, potamal) and different lake types (i.e., littoral, sublittoral, profundal zones), is the most significant factor separating chironomid assemblages, while spatial factors act only as indirect influencers.
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页数:17
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