Poster Presentation Society for Freshwater Science 2025 Annual Meeting

“Assessing the greatest influences on the composition of crayfish assemblages in the Ogeechee River Basin” (117839)

Reginald Turner 1 , nicholas macias 2 , Jose C. Colon Gaud 1
  1. Georgia Southern University, GA, United States
  2. University of Georgia Marine Institute, Sapelo Island, GA, USA

Crayfish are important members of aquatic ecosystems as consumers and prey for many aquatic and terrestrial predators. Approximately half of the crayfish species in North America are either vulnerable, threatened, endangered, or possibly extinct. Crayfish face challenges of habitat degradation, range limitation, and the introduction of invasive species. Crayfish assemblages in Georgia (USA) have not been extensively studied since the 1980s, and there is a need for updated distribution records for the species native to the Ogeechee River Basin (ORB). The Ogeechee River is the longest unimpounded river in Georgia, and its lack of impoundments makes it an essential habitat for many aquatic species. Studies have been done in fish assemblages on the influence of different scales of variables on the composition of fish assemblages, but not many have focused on crayfish assemblages. The Ogeechee River stretches through the coastal plain, which has entirely different habitat conditions regarding its flow regime, native flora and fauna, and its distinct lack of impoundments. We hypothesize that landscape variables, such as the contributing drainage size and the ecoregion of the site, have more influence on the composition of crayfish assemblages than the site-specific variables, such as water chemistry and channel morphologies. Crayfish were collected along the main stem and tributaries of the Ogeechee River to establish their distributions, habitat preferences, and species abundances. We targeted twenty-seven 10-digit hydrologic units (HUC10s) within the ORB, and the minimum sampling sites were two streams within each HUC10 zone. We utilized active and passive sampling methods to procure samples and measure environmental and biological parameters at each site.  We used multivariate analyses (PCA, PERMANOVA, NMDS) to analyze the correlations between the environmental variables and assemblage composition data. Our preliminary data suggest that the distance to the mouth is the most influential variable in explaining the correlations between habitat parameters and assemblage composition.