Nitrous oxide dynamics across nitrogen and pH gradients in headwater streams

Abstract. Headwater streams in agricultural landscapes can contribute substantially to nitrous oxide (N₂O) emissions, yet the environmental controls on stream N₂O dynamics remain poorly resolved, particularly in systems with low pH. We investigated 72 Danish headwater streams spanning broad gradients in pH (5.0 - 8.8), land use, and soil type to identify the main drivers of N₂O variability. Nitrate (NO₃⁻) was the strongest predictor of N₂O saturation, and its positive association with N₂O intensified under acidic conditions according to linear mixed models. Ammonium, dissolved organic carbon, and stream depth also showed significant but weaker positive relationships with N₂O. Spatial differences among streams explained considerably more variation than seasonal or regional patterns, underscoring the dominance of local factors. Streams with pH < 6 consistently exhibited higher N₂O saturation, and generalized additive modelling indicated a marked decline in N₂O levels beginning near pH 6. Despite generally high N₂O saturation, approximately 9 % of observations displayed undersaturation, which occurred mainly in streams with low NO₃⁻ concentrations and across all seasons. Our results indicate that acidic, weakly buffered catchments may enhance in‑stream N₂O accumulation even at moderate nitrogen levels. These findings highlight the need to consider pH‑related controls when assessing N₂O dynamics in freshwater networks and when designing mitigation strategies for agricultural landscapes.

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Publication Details

Journal
Biogeosciences
Published
2026-10-30
DOI
https://doi.org/10.5194/bg-23-7661-2026
Primary Topic
Soil and Water Nutrient Dynamics
Type
article
Field-Weighted Citation Impact
0.00

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article

Nitrous oxide dynamics across nitrogen and pH gradients in headwater streams

Mette Vodder Carstensen, Annelies J. Veraart, N. Wrage, Joachim Audet et al.
1 links
Biogeosciences
Soil and Water Nutrient Dynamics
article

Nitrous oxide dynamics across nitrogen and pH gradients in headwater streams

Mette Vodder Carstensen, Annelies J. Veraart, N. Wrage, Joachim Audet, Ida F. Peterse
article en

Abstract

Abstract. Headwater streams in agricultural landscapes can contribute substantially to nitrous oxide (N₂O) emissions, yet the environmental controls on stream N₂O dynamics remain poorly resolved, particularly in systems with low pH. We investigated 72 Danish headwater streams spanning broad gradients in pH (5.0 - 8.8), land use, and soil type to identify the main drivers of N₂O variability. Nitrate (NO₃⁻) was the strongest predictor of N₂O saturation, and its positive association with N₂O intensified under acidic conditions according to linear mixed models. Ammonium, dissolved organic carbon, and stream depth also showed significant but weaker positive relationships with N₂O. Spatial differences among streams explained considerably more variation than seasonal or regional patterns, underscoring the dominance of local factors. Streams with pH < 6 consistently exhibited higher N₂O saturation, and generalized additive modelling indicated a marked decline in N₂O levels beginning near pH 6. Despite generally high N₂O saturation, approximately 9 % of observations displayed undersaturation, which occurred mainly in streams with low NO₃⁻ concentrations and across all seasons. Our results indicate that acidic, weakly buffered catchments may enhance in‑stream N₂O accumulation even at moderate nitrogen levels. These findings highlight the need to consider pH‑related controls when assessing N₂O dynamics in freshwater networks and when designing mitigation strategies for agricultural landscapes.

BiogeosciencesVol. 23(21)
Radboud University Nijmegen (NL), Aarhus University (DK), University of Rostock (DE)
Aarhus Universitet, Danmarks Frie Forskningsfond
Clean water and sanitation, Climate action, Life on land
Openalex Percentile: Top 96%
Soil and Water Nutrient Dynamics
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Nitrous oxide dynamics across nitrogen and pH gradients in headwater streams — Mette Vodder Carstensen, Annelies J. Veraart, et al. · Biogeosciences (2026) | TGRS Research Map | TGRS