PS 3-65 - δ15N of detritivores track nitrogen inputs from agricultural land into shallow Minnesota lakes

Monday, August 6, 2012
Exhibit Hall, Oregon Convention Center
Tom A. Langer, Biology, University of St Thomas, St Paul, MN, Kyle D. Zimmer, Biology, University of St. Thomas, St. Paul, MN, Brian R. Herwig, Fisheries Research, Minnesota Department of Natural Resources, Bemidji, MN, Mark A. Hanson, Wildlife Research, Minnesota Department of Natural Resources, Bemidji, MN, William O. Hobbs, St. Croix Watershed Research Station, Science Museum of Minnesota, Marine on St. Croix, MN, James B. Cotner, Ecology, Evolution and Behavior, University of Minnesota - Twin Cities, St. Paul, MN, Robert W. Wright, Wildlife GIS Unit, Minnesota Department of Natural Resources, Forest Lake, MN and Sean R. Vaughn, Division of Waters, Minnesota Department of Natural Resources
Background/Question/Methods

Eutrophication of freshwater ecosystems continues to be a major issue, and nonpoint sources of nutrients are particularly difficult to quantify and alleviate. Agricultural activities can be a major source of nutrients for lakes and could be especially influential on shallow lakes in the prairie region of North America due to high watershed area: lake surface area ratios. Prairie lakes are naturally productive and nutrient levels are dynamic through time making it difficult to estimate influences of agriculture on these lakes.  Enriched δ 15N values in lake biota can reflect the influence of agriculture on N-cycling in lakes, owing to fractionation associated with high rates of N inputs to the landscape. We assessed agricultural effects on shallow lakes in 2009 by measuring δ15N values of detritivorous fathead minnows (Pimephales promelas) collected from 33 lakes from three prairie-parkland ecoregions of Minnesota, USA.  We used an information-theoretic approach to assess ability of competing models to predict δ 15N in the fish; models were based on landscape-level effects (ecoregion), watershed features (e.g. watershed size, extent of row-crop agriculture and urbanization), and within-lake characteristics (e.g. lake volume, abundance of submerged macrophytes, and turbid versus clear-water states).  

Results/Conclusions

Results show little within-lake variation, but substantial variation between lakes, with lake mean δ15N values ranging from 5 to 19‰.  Results of model selection indicated the most parsimonious model for predicting δ15N in fish was based on just the total amount of agriculture in the watershed (summed area of hay, row crops, and pasture); the relationship was positive and agriculture explained 48% of the variation in δ15N among lakes.  Model parsimony was not improved by partitioning total agriculture into row-crop agriculture versus pasture land, and we found little support for δ15N being influenced by other watershed features, ecoregion effects, or within-lake characteristics.  Our results indicate agriculture in lake watersheds of shallow prairie-parkland lakes results in enriched δ15N in fish, suggesting δ15N may be a useful index of agricultural influence on these lakes.  An unanswered question is the degree to which the large enrichment of δ15N in fish in these systems is driven by N-cycling in watershed soils versus within the lake ecosystem.