Modeling denitrification: can we report what we don’t know?

Grosz, Balázs Péter; Matson, Amanda; Butterbach-Bah, Klaus; Clough, Timothy; Davidson, Eric A.; Dechow, Rene; DelGrosso, Stephen; Diamantopoulos, Efstathios; Dörsch, Peter; Haas, Edwin; He, Hongxing; Henri, Christopher Vincent; Hui, Dafeng; Kleineidam, Kristina; Kraus, David; Kuhnert, Matthias; Léonard, Joël; Mueller, Christoph; Petersen, Søren O.; Sihi, Debjani; Vogeler, Iris; Well, Reinhard; Yeluripati, Jagadeesh Babu; Zhang, Jie; Scheer, Clemens

doi:10.22541/essoar.168500283.32887682/v1

Cited by 2 publications

(1 citation statement)

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“…This model excels in simulating the entire N budget, including Deni‐Flux, which is rarely found in other process models (Butterbach‐Bahl et al., 2013; Zimmermann et al., 2018). In particular, field studies often lack of a comprehensive N budget observation, particularly in quantifying challenging N 2 flux (Groffman et al., 2006; Grosz et al., 2023; Li, Xia, et al., 2014).…”

Section: Resultsmentioning

confidence: 99%

Modeling denitrification nitrogen losses in China's rice fields based on multiscale field‐experiment constraints

Zhang,

Adalibieke,

et al. 2024

Global Change Biology

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Denitrification plays a critical role in soil nitrogen (N) cycling, affecting N availability in agroecosystems. However, the challenges in direct measurement of denitrification products (NO, N2O, and N2) hinder our understanding of denitrification N losses patterns across the spatial scale. To address this gap, we constructed a data‐model fusion method to map the county‐scale denitrification N losses from China's rice fields over the past decade. The estimated denitrification N losses as a percentage of N application from 2009 to 2018 were 11.8 ± 4.0% for single rice, 12.4 ± 3.7% for early rice, and 11.6 ± 3.1% for late rice. The model results showed that the spatial heterogeneity of denitrification N losses is primarily driven by edaphic and climatic factors rather than by management practices. In particular, diffusion and production rates emerged as key contributors to the variation of denitrification N losses. These findings humanize a 38.9 ± 4.8 kg N ha−1 N loss by denitrification and challenge the common hypothesis that substrate availability drives the pattern of N losses by denitrification in rice fields.

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Section: Resultsmentioning

confidence: 99%

Modeling denitrification nitrogen losses in China's rice fields based on multiscale field‐experiment constraints

Zhang,

Adalibieke,

et al. 2024

Global Change Biology

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Regional assessment and uncertainty analysis of carbon and nitrogen balances at cropland scale using the ecosystem model LandscapeDNDC

Sifounakis,

Haas,

Butterbach-Bahl

et al. 2024

Biogeosciences

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Abstract. The assessment of cropland carbon and nitrogen (C and N) balances plays a key role in identifying cost-effective mitigation measures to combat climate change and reduce environmental pollution. In this paper, a biogeochemical modelling approach is adopted to assess all C and N fluxes in a regional cropland ecosystem of Thessaly, Greece. Additionally, the estimation and quantification of the modelling uncertainty in the regional inventory are realized through the propagation of parameter distributions through the model, leading to result distributions for modelling estimations. The model was applied to a regional dataset of approximately 1000 polygons, deploying model initializations and crop rotations for the five major crop cultivations and for a time span of 8 years. The full statistical analysis on modelling results (including the uncertainty ranges given as ± values) yields for the C balance carbon input fluxes into the soil of 12.4 ± 1.4 t C ha−1 yr−1 and output fluxes of 11.9 ± 1.3 t C ha−1 yr−1, with a resulting average carbon sequestration of 0.5 ± 0.3 t C ha−1 yr−1. The averaged N influx was 212.3 ± 9.1 kg N ha−1 yr−1, while outfluxes of 198.3 ± 11.2 kg N ha−1 yr−1 were estimated on average. The net N accumulation into the soil nitrogen pools was estimated to be 14.0 ± 2.1 kg N ha−1 yr−1. The N outflux consists of gaseous N fluxes composed of N2O emissions of 2.6 ± 0.8 kg N2O–N ha−1 yr−1, NO emissions of 3.2 ± 1.5 kg NO–N ha−1 yr−1, N2 emissions of 15.5 ± 7.0 kg N2–N ha−1 yr−1 and NH3 emissions of 34.0 ± 6.7 kg NH3–N ha−1 yr−1, as well as aquatic N fluxes (only nitrate leaching into surface waters) of 14.1 ± 4.5 kg NO3–N ha−1 yr−1 and N fluxes of N removed from the fields in yields, straw and feed of 128.8 ± 8.5 kg N ha−1 yr−1.

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Modeling denitrification: can we report what we don’t know?

Cited by 2 publications

References 50 publications

Modeling denitrification nitrogen losses in China's rice fields based on multiscale field‐experiment constraints

Modeling denitrification nitrogen losses in China's rice fields based on multiscale field‐experiment constraints

Regional assessment and uncertainty analysis of carbon and nitrogen balances at cropland scale using the ecosystem model LandscapeDNDC

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