4.8 Article

Denitrification and Nitrogen Burial in Swiss Lakes

Journal

ENVIRONMENTAL SCIENCE & TECHNOLOGY
Volume 56, Issue 4, Pages 2794-2802

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/acs.est.1c07602

Keywords

nitrogen removal efficiency; net sedimentation; nitrogen load; phosphorus management; oligotrophication

Funding

  1. Swiss National Science Foundation [205321_169142]
  2. Swiss National Science Foundation (SNF) [205321_169142] Funding Source: Swiss National Science Foundation (SNF)

Ask authors/readers for more resources

The nitrogen cycle in Swiss lakes is affected by various factors, with nitrate concentration, external nitrogen load, and hydraulic loading rate being key predictors of denitrification rates. Net sedimentation of nitrogen is strongly related to total phosphorus concentration. Nitrogen removal efficiency is negatively correlated with hydraulic loading rate. These findings highlight the importance of nitrogen management alongside phosphorus management in order to protect lake water quality.
Earth's nitrogen (N) cycle is imbalanced because of excessive anthropogenic inputs. Freshwater lakes efficiently remove N from surface waters by transformation of NO3- to atmospheric N-2 and/or N2O (denitrification; DN) and by burial of organic N in sediments (net sedimentation; NS). However, relatively little is known about the controlling environmental conditions, and few long-term measurements on individual lakes are available to quantify conversion rates. We report N-elimination rates in 21 Swiss lakes estimated from whole-lake N budgets covering up to similar to 20 years of monitoring. The NO3- concentration in the bottom water was the main predictor of DN. Additionally, DN rates were positively correlated with external N load and the area-specific hydraulic loading rate (mean depth/water residence time; Q(s)). NS of N was strongly related to total phosphorus (P) concentration. Nitrogen removal efficiency (NRE), the fraction of the load of dissolved N to a lake removed by DN and NS, was strongly negatively related to Q(s). This previously unconsidered variable improves the predictability of NRE and does not require knowledge of N and P loading rates or concentrations. We conclude that P management alone intended to oligotrophy lakes only slightly increases N export unless it is accompanied by N management.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available