Diatom-based Models for Inferring Hydrology and Periphyton Abundance in a Subtropical Karstic Wetland: Implications for Ecosystem-Scale Bioassessment

摘要: We developed diatom-based prediction models of hydrology and periphyton abundance to inform assessment tools for a hydrologically managed wetland. Because is an important driver ecosystem change, hydrologic alterations by restoration efforts could modify biological responses, such as characteristics. In karstic wetlands, diatoms are particularly components mat-forming calcareous assemblages that both respond contribute the structural organization function matrix. examined distribution across Florida Everglades landscape found hydroperiod biovolume were strongly correlated with assemblage composition. present species optima tolerances biovolume, use in interpreting directionality change these variables. Predictions variables mapped visualize landscape-scale spatial patterns dominant this (hydroperiod) ecosystem-level response metric (periphyton biovolume). Specific diatom inhabiting mats differing can be used infer past conditions management decisions based on how changing. This study captures responses wide gradients characteristics ecosystem-scale bioassessment large