Numerous proxies have been developed over the past few decades to reconstruct the paleohydrology of peatland systems, including testate amoebae, a group of moisture-sensitive protozoa. Testate amoebae have been successfully used to infer patterns of multi-decadal moisture variability; however, variability at shorter timescales may also influence community composition. The objectives of this study were to determine if the composition of testate amoeba communities is influenced by seasonal moisture variability and, if so, develop models to infer the magnitude of seasonal moisture variability from fossil assemblages.
Testate amoebae and surface moisture conditions, including hourly measurements of relative humidity within the upper few centimeters of Sphagnum, were examined throughout the growing season at 78 sites within eleven peatlands of Pennsylvania and Wisconsin. Cluster analysis and non-metric multidimensional scaling (NMS) were used to describe patterns in community composition, and these patterns were compared to environmental variables to assess controls on testate amoebae. Results suggest that testate amoebae can not only be used as indicators of mean water-table depth, as in previous studies, but also seasonal variability, with particular species and communities characteristic of highly variable environments. The calibration data from this study was used to identify time periods of exceptionally high moisture variability in late Holocene testate amoeba records from the Great Lakes region, using a series of modern analogue based models. These reconstructions suggest that this new tool, when used in tandem with mean water-table depth reconstructions, can provide insights into the fine-scale structure of late Holocene moisture changes.