First 20 years of DNDC (DeNitrification DeComposition): Model evolution

Gilhespy, S. L.; Anthony, Steven; Cardenas, L. M.; Chadwick, David R.; Prado, A. del; Li, Changsheng; Misselbrook, Tom; Rees, Robert M.; Salas, William; Sanz-Cobeña, Alberto; Smith, Pete; Tilston, Emma L.; Topp, Cairistiona F. E.; Vetter, Sylvia H.; Yeluripati, Jagadeesh

doi:10.1016/j.ecolmodel.2014.09.004

Cited by 227 publications

(106 citation statements)

References 58 publications

Supporting

Mentioning

104

Contrasting

Unclassified

Order By: Relevance

“…Considering that the field-scale study showed similar results as the smallscale laboratory incubation, it would appear that the DNDC model does not include specific soil processes that limit microbial activity after fertilizer addition. Predictions related to N fertilization have been yet reported to be a weakness in DNDC (Gilhespy et al 2014). To improve the model, more experimental research is required to fully understand the interactions between fertilizer additions and microbial activity.…”

Section: Discussionmentioning

confidence: 99%

Soil-surface carbon dioxide emission following nitrogen fertilization in corn

et al. 2016

View full text Add to dashboard Cite

Improvement in use efficiency of N fertilizers can potentially better sustain agriculture by reducing N 2 O emissions from soils, but little is known about its impact on soil CO 2 emissions. A study, involving both a field experiment and a laboratory incubation, was conducted in eastern Canada to determine the N fertilization effect on soil CO 2 emissions. In laboratory, we incubated nine different types of soil with and without 150 kg N ha −1 as KNO 3 or (NH 4 ) 2 SO 4 . The N-fertilized soils had lower CO 2 emissions compared with the no-N control soils for six of them. Among fertilizer sources, emissions of CO 2 were on average 22% lower with KNO 3 than with (NH 4 ) 2 SO 4 . The field experiment conducted on a clay soil included three sources of N (urea-NH 4 NO 3 , CaNH 4 NO 3 , and aqua NH 3 ) at 0-200 kg N ha −1 band-incorporated at the six-leaf corn stage. Under field conditions, most CO 2 was emitted between N application and grain maturity with cumulative seasonal soil emissions greater in the control (4.9 Mg C ha −1 ) than in the N treatments (average of 4.0 ± 0.3 Mg C ha −1 ). Evidence suggested that both heterotrophic and autotrophic respiration seemed affected, whereas the NO 3 -based source had a more depressing effect on CO 2 emissions than did the NH 4 source.Key words: ammonium-N fertilizer, carbon dioxide emission, corn, nitrate-N fertilizer, soil respiration.Résumé : Rehausser l'efficacité des engrais azotés pourrait profiter à l'agriculture par une réduction du N 2 O libéré du sol, mais on sait peu de choses au sujet des répercussions d'une telle bonification sur les émissions de CO 2 . Les auteurs ont réalisé une étude dans l'est du Canada incluant une expérience sur le terrain et une incubation en laboratoire en vue de préciser les conséquences de l'usage de tels engrais sur les dégagements de CO 2 par le sol. Au laboratoire, ils ont incubé neuf types de sol avec et sans addition de 150 kg N ha −1 sous forme de KNO 3 ou de (NH 4 ) 2 SO 4 . Les sols amendés avec l'engrais N libéraient moins de CO 2 que les sols témoins non bonifiés, dans six cas. Quand on compare les engrais, on constate que les émissions de CO 2 sont en moyenne 22 % plus faibles avec le KNO 3 qu'avec le (NH 4 ) 2 SO 4 . L'expérience réalisée sur le terrain consistait en l'incorporation en bande de 0 à 200 kg de N ha −1 de trois sources de N (urée-NH 4 NO 3 , CaNH 4 NO 3 et NH 3 liquide) à un sol argileux, au stade six feuilles du maïs. Dans les conditions ambiantes, la majeure partie du CO 2 a été émise entre l'application du N et la maturation du grain, les émissions saisonnières cumulatives étant plus grandes pour la parcelle témoin (4,9 Mg C ha ). Ces résultats suggèrent que les amendements affectent à la fois la respiration hétérotrophe et autotrophe, et que les engrais à base de NO 3 réduisent plus les émissions de CO 2 que les engrais à base de NH4. [Traduit par la Rédaction] Mots-clés : engrais N-ammonium, émissions de dioxyde de carbone, maïs, engrais N-nitrate, respiration du sol.

show abstract

Section: Discussionmentioning

confidence: 99%

Soil-surface carbon dioxide emission following nitrogen fertilization in corn

et al. 2016

View full text Add to dashboard Cite

show abstract

“…Greenhouse gas emissions associated with agriculture (including livestock systems and biogeochemical processes) will be quantifi ed with the use of existing models (eg, the DAYCENT or DeNitrifi cation-DeComposition [DNDC] models). [69][70][71] An understanding is needed of the potential for multiple environmental factors to aff ect food systems, and the nuances within and between countries and cultures. Further work will be required to refi ne indicators for this area, and the scientifi c community is invited to suggest potential metrics and data sources.…”

Section: Productionmentioning

confidence: 99%

The Lancet Countdown: tracking progress on health and climate change

et al. 2017

View full text Add to dashboard Cite

The Lancet Countdown: tracking progress on health and climate change is an international, multidisciplinary research collaboration between academic institutions and practitioners across the world. It follows on from the work of the 2015 Lancet Commission, which concluded that the response to climate change could be "the greatest global health opportunity of the 21st century". The Lancet Countdown aims to track the health impacts of climate hazards; health resilience and adaptation; health co-benefi ts of climate change mitigation; economics and fi nance; and political and broader engagement. These focus areas form the fi ve thematic working groups of the Lancet Countdown and represent diff erent aspects of the complex association between health and climate change. These thematic groups will provide indicators for a global overview of health and climate change; national case studies highlighting countries leading the way or going against the trend; and engagement with a range of stakeholders. The Lancet Countdown ultimately aims to report annually on a series of indicators across these fi ve working groups. This paper outlines the potential indicators and indicator domains to be tracked by the collaboration, with suggestions on the methodologies and datasets available to achieve this end. The proposed indicator domains require further refi nement, and mark the beginning of an ongoing consultation process-from November, 2016 to early 2017-to develop these domains, identify key areas not currently covered, and change indicators where necessary. This collaboration will actively seek to engage with existing monitoring processes, such as the UN Sustainable Development Goals and WHO's climate and health country profi les. The indicators will also evolve over time through ongoing collaboration with experts and a range of stakeholders, and be dependent on the emergence of new evidence and knowledge. During the course of its work, the Lancet Countdown will adopt a collaborative and iterative process, which aims to complement existing initiatives, welcome engagement with new partners, and be open to developing new research projects on health and climate change.

show abstract

“…According to the literature, the validation of the model could be done based on: (i) crop yield and biomass, (ii) soil data, and (iii) gas emissions [35]. The calibration of the DNDC model to Polish terms performed on the foundation coefficients developed for crops at regional scale in the EU-15 [44].…”

Section: Denitrification Decompositionmentioning

confidence: 99%

“…The DNDC model was used by the European Union (EU) to set sustainability criteria for biofuels with the legislation of the RED [4]. Detailed model development is presented by Gilhespy et al [35], and Zhang and Niu [27]. The DNDC model was validated globally in over 100 studies, which has demonstrated accurate predictions of crop yields, climate, nitrogen losses, carbon sequestration and GHG emissions from agro-ecosystems [27,[36][37].…”

mentioning

confidence: 99%