Monthly dynamics of ground-dwelling beetles remain poorly resolved in agro-pastoral ecotones. From June to September 2025, beetles were sampled monthly with pitfall traps in 81 permanent 1 m × 1 m quadrats across nine plots representing temperate steppe, temperate desert steppe, and lowland meadow in the Tacheng Basin, Xinjiang, China. Specimens were identified to family, and analyses used family-level data. Assemblage composition varied significantly among months, whereas neither the overall habitat effect nor the habitat × month interaction was significant. Habitat × month interactions were significant for total beetle activity-density and for Tenebrionidae, Scarabaeidae, and Carabidae activity-density. Tenebrionidae dominated catches in July and August, whereas Scarabaeidae contributed the largest proportions in June and September. Significant within-month habitat contrasts in diversity metrics were detected only for Margalef richness in June. Neither distance class nor the distance class × month interaction was significantly associated with activity-density, diversity metrics, or assemblage composition. After conditioning on plot identity and month, measured vegetation and soil variables did not significantly explain residual assemblage variation. These findings highlight pronounced monthly turnover and the value of repeated sampling across months during the June–September period.

Gut microbiota plays an important role in host metabolism, immunity, and environmental adaptation, yet its response to contrasting wintering habitats in migratory waterbirds remains poorly understood. We compared the gut microbiota of whooper swans (Cygnus cygnus) wintering in a natural riverine habitat (Swan Bay, Hejing County) and an urban wetland habitat (Worker’s Park, Korla City) in Xinjiang, China. A total of 34 fresh fecal samples were analyzed using 16S rRNA gene sequencing. We identified 2207 operational taxonomic units (OTUs), of which 734 were shared between habitats, indicating the presence of a conserved core microbiota. The urban wetland group exhibited a significantly higher Simpson index, whereas beta diversity analysis revealed significant differences in community structure between habitats (p < 0.05). Both groups were dominated by Firmicutes, Fusobacteriota, Proteobacteria, Campylobacterota, and Bacteroidota, although their relative abundances differed markedly. LEfSe analysis identified distinct habitat-associated taxa, and PICRUSt2 prediction suggested greater enrichment of metabolism-related pathways in the natural riverine group. Overall, wintering habitat was associated with differences in gut microbial composition and predicted function, providing new insight into the ecological adaptation of migratory waterbirds under contrasting environmental conditions.