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

aquatic insects environmental factors spatial factors

Journal

Insects
ISSN: 2075-4450
Titre abrégé: Insects
Pays: Switzerland
ID NLM: 101574235

Informations de publication

Date de publication:
14 Apr 2024
Historique:
received: 15 03 2024
revised: 12 04 2024
accepted: 12 04 2024
medline: 26 4 2024
pubmed: 26 4 2024
entrez: 26 4 2024
Statut: epublish

Résumé

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.

Identifiants

pubmed: 38667402
pii: insects15040272
doi: 10.3390/insects15040272
pii:
doi:

Types de publication

Journal Article

Langues

eng

Auteurs

Bruno Rossaro (B)

Department of Agricultural and Environmental Sciences (DISAA), University of Milan, Via Celoria 2, 20133 Milan, Italy.

Laura Marziali (L)

National Research Council-Water Research Institute (CNR-IRSA), Via del Mulino 19, 20861 Brugherio, Italy.

Classifications MeSH