Oral Presentation Society for Freshwater Science 2026 Annual Meeting

Spatial distribution and hydrology as controls on aquatic insect beta diversity across geographically isolated wetlands (135894)

Elizabeth Sicking 1 , Kier Klepzig 1 , Steve Golladay 1 , Daniel McLaughlin 2 , Sally Entrekin 2
  1. The Jones Center at Ichauway, Newton, GA
  2. Virginia Tech, Blacksburg, Virginia, United States

The alteration of wetlands and creation of man-made wetlands is leading to landscape fragmentation, intensifying the need to understand what factors control the dispersal of organisms among sites. Wetlands are both sources and sinks of water, nutrients, and organisms, and act as important breeding habitats for amphibians, migrating birds, and dispersing aquatic insects. In geographically isolated wetlands (GIWs), long-term hydrological patterns are one of the most important determinants of emergent insect timing and community composition. However, the extent to which distance between sites, hydrological diversity, and seasonal timing control individual wetland aquatic insect diversity across GIWs is unknown, making it difficult to predict how changes to these factors may influence regional diversity in wetlands. To address this gap, we assessed emergent aquatic insect communities across a hydroperiod in 11 wetlands. We sampled five cypress swamps and six sedge marshes in the southeastern Coastal Plain of Georgia, USA during 2023, and measured total beta diversity, nestedness, and turnover between sites using distance, hydrology, wetland type, and time as predictors. We hypothesized that  communities would be most similar in closely located GIWs with similar hydrology, late in the inundated period when emergence rates were greatest. We also predicted that communities would be most different between marshes and swamps, due to differences in habitat. Preliminary results suggest that wetlands were most similar when they were closer together, but there is less dissimilarity between communities with different hydrological regimes and between wetland types than expected. Our analysis will continue diving into these patterns by adding a temporal perspective and incorporating isolation as an additional predictor to address our objective.