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Understanding Dissolved Organic Matter Biogeochemistry Through In Situ Nutrient Manipulations in Stream Ecosystems
Published on: October 29, 2016
Hindcasting nitrogen deposition to determine an ecological critical load
1U.S. Geological Survey, Natural Resource Ecology Laboratory, Colorado State University, Fort Collins, Colorado 80523-1499, USA. jill_baron@usgs.gov
Summary
Nitrogen (N) deposition in alpine lakes was reconstructed using historical emissions data. A critical load of 1.5 kg N x ha(-1) x yr(-1) was identified, indicating the threshold for ecological change due to eutrophication.
Area of Science:
- Environmental Science
- Ecology
- Atmospheric Chemistry
Background:
- Nitrogen (N) deposition is a significant environmental stressor in alpine ecosystems.
- Historical N deposition levels in alpine lakes are often poorly constrained.
- Eutrophication from N deposition can alter aquatic ecosystems, including diatom assemblages.
Purpose of the Study:
- To reconstruct a historical N deposition record for alpine lakes.
- To identify the critical N deposition load associated with ecological change.
- To validate a hindcasting method for estimating past atmospheric deposition.
Main Methods:
- Utilized a 19-year record of measured wet N deposition from Loch Vale, Colorado.
- Developed exponential equations correlating N deposition with EPA-reported NOx emissions.
- Estimated background N deposition using a 1900 value of 0.5 kg N x ha(-1) x yr(-1).
Main Results:
- Reconstructed N deposition history correlated strongly with regional NOx emissions.
- Mean wet N deposition from 1950-1964 was approximately 1.5 kg N x ha(-1) x yr(-1).
- This value aligns with the timing of observed diatom assemblage alterations in Rocky Mountain National Park.
Conclusions:
- A critical N deposition load of 1.5 kg N x ha(-1) x yr(-1) was identified as a threshold for ecological change in alpine lakes.
- Hindcasting N deposition based on identified thresholds is a viable method for assessing past atmospheric deposition.
- The technique is supported by experimental studies, ecosystem modeling, and paleolimnological data.

