Abstract
Understanding aquatic insect diversity is fundamental for river monitoring, conservation, and restoration. In contrast to the existence of general patterns for aquatic insects at large scales, weak or non-significant patterns are common at small scales. Numerical resolution and statistical approaches are considered key technical factors influencing the revealed patterns. In the present study, we examined the taxonomic composition and diversity of aquatic insects in a disturbed (sub)tropical river during wet and dry seasons and demonstrated seasonal patterns using linear and nonlinear approaches with both occurrence and abundance data. Collector-gatherers were more abundant and scrapers were less abundant in the wet season than in the dry season. Alpha diversity did not change significantly between the seasons but was affected seasonally by different environmental variables. However, beta diversity measured by both Sorensen and Bray–Curtis dissimilarity varied seasonally. Beta diversity was predicted to vary nonlinearly by environmental distance, more strongly in the wet season, and Bray–Curtis dissimilarity was predicted better than Sorensen dissimilarity index. Our study supports the role of environmental selection in structuring the community composition and diversity of aquatic insects in (sub)tropical rivers and emphasises that quantitative data and nonlinear approaches are more sensitive to community analyses at small scales.
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This study was supported by grants from The NSF of China (32171538).
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Wang, L., Li, Y., Li, J. et al. The seasonal patterns of aquatic insect composition and diversity in a disturbed (sub)tropical river revealed by linear and nonlinear approaches with occurrence and abundance data. Hydrobiologia 850, 3949–3963 (2023). https://doi.org/10.1007/s10750-023-05278-4
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DOI: https://doi.org/10.1007/s10750-023-05278-4