A Cross-Ecoregion Evaluation of Nitrogen Fixation and Denitrification in
Streams and Rivers of the United States of America
Abstract
It is typically assumed that dinitrogen (N2) fixation
and denitrification are mutually exclusive processes in riverine
ecosystems because N2 fixation is favored in high light,
low nitrogen (N) environments but denitrification is favored under
anoxic, high N conditions. Yet recent work in marine and lake ecosystems
has demonstrated that N2 fixation can happen under high
N conditions and in sediments, challenging this assumption. We conducted
a cross-ecoregion study to test the hypothesis that N2
fixation and denitrification would co-occur in streams and rivers across
a range of reactive N concentrations. Between 2017 and 2019, we sampled
30 streams in 13 ecoregions, using chambers to quantify
N2 flux using membrane inlet mass spectrometry,
N2 fixation using acetylene reduction, denitrification
using acetylene block, and microbial diversity using 16S gene
sequencing. 25 of the study streams were part of the National Ecological
Observatory Network or the StreamPULSE network, which provided data on
water temperature, light, nutrients, discharge and metabolism. We found
that N2 fixation rates were detectable in half of the
streams surveyed, and were most frequently detected on rock, wood,
and/or macrophyte substrates. Denitrification potential was detected in
all streams, with rates 1-2 orders of magnitude higher than
N2 fixation rates and the highest rates measured in
sediments. Substrate heterogeneity, and associated variation in
environmental conditions, appeared to facilitate the coexistence of
N2 fixation and denitrification in the study streams.
Rates of denitrification were significantly positively related to
streamwater nitrate concentrations (r2 = 0.35), but
N2 fixation rates were not, despite the common
simplifying assumption that denitrification dominates the
N2 flux in streams under high N and N2
fixation only occurs under low N conditions. Additional analyses are
exploring reach to watershed characteristics, and metabolic regimes as
drivers of cross-ecoregion patterns in processes.