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

Sarah L. Gilhespy; Steven Anthony; Laura Cardenas; David Chadwick; Agustin del Prado; Changsheng Li; Thomas Misselbrook; Robert M. Rees; William Salas; Alberto Sanz-Cobena; Pete Smith; Emma L. Tilston; Cairistiona F. E. Topp; Sylvia Vetter; Jagadeesh B. Yeluripati

doi:10.1016/j.ecolmodel.2014.09.004

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

Sarah L. Gilhespy^*, Steven Anthony, Laura Cardenas, David Chadwick, Agustin del Prado, Changsheng Li, Thomas Misselbrook, Robert M. Rees, William Salas, Alberto Sanz-Cobena, Pete Smith, Emma L. Tilston, Cairistiona F. E. Topp, Sylvia Vetter, Jagadeesh B. Yeluripati

^*Corresponding author for this work

Aberdeen Centre For Environmental Sustainability

Research output: Contribution to journal › Literature review › peer-review

195 Citations (Scopus)

16 Downloads (Pure)

Abstract

Mathematical models, such as the DNDC (DeNitrification DeComposition) model, are powerful tools that are increasingly being used to examine the potential impacts of management and climate change in agriculture. DNDC can simulate the processes responsible for production, consumption and transport of nitrous oxide (N2O). During the last 20 years DNDC has been modified and adapted by various research groups around the world to suit specific purposes and circumstances. In this paper we review the different versions of the DNDC model including models developed for different ecosystems, e.g. Forest-DNDC, Forest-DNDC-Tropica, regionalised for different areas of the world, e.g. NZ-DNDC, UK-DNDC, modified to suit specific crops, e.g. DNDC-Rice, DNDC-CSW or modularised e.g. Mobile-DNDC, Landscape-DNDC. A 'family tree' and chronological history of the DNDC model is presented, outlining the main features of each version. A literature search was conducted and a survey sent out to c. 1500 model users worldwide to obtain information on the use and development of DNDC. Survey results highlight the many strengths of DNDC including the comparative ease with which the DNDC model can be used and the attractiveness of the graphical user interface. Identified weaknesses could be rectified by providing a more comprehensive user manual, version control and increasing model transparency in collaboration with the Global Research Alliance Modelling Platform (GRAMP), which has much to offer the DNDC user community in terms of promoting the use of DNDC and addressing the deficiencies in the present arrangements for the models' stewardship. (C) 2014 The Authors. Published by Elsevier B.V.

Original language	English
Pages (from-to)	51-62
Number of pages	12
Journal	Ecological Modelling
Volume	292
Early online date	26 Sept 2014
DOIs	https://doi.org/10.1016/j.ecolmodel.2014.09.004
Publication status	Published - 24 Nov 2014

Bibliographical note

Open Access Under a Creative Commons license

Article Accepted Date: 10 September 2014

Acknowledgements
The authors would like to thank the UK Department for Environment, Food and Rural Affairs (Defra) for funding this study as an addition to the InveN2Ory project (AC0116) aimed at establishing the Global Research Alliance Modelling Platform (GRAMP). Rothamsted Research receives strategic funding from the Biotechnology and Biological Sciences Research Council (BBSRC).

Keywords

biogeochemistry
process model
N2O
DNDC
greenhouse gases
emissions
nitrous-oxide emissions
process-oriented model
tropical rain-forests
trace gas emissions
agricultural soils
N2O emissions
biogeochemistry model
mechanistic model
Southwest China
UK agriculture

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1016/j.ecolmodel.2014.09.004

First 20 years of DNDC (DeNitrification DeComposition): Model
This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. http://creativecommons.org/licenses/by/3.0/
Final published version, 1.14 MB

Cite this

Gilhespy, S. L., Anthony, S., Cardenas, L., Chadwick, D., del Prado, A., Li, C., Misselbrook, T., Rees, R. M., Salas, W., Sanz-Cobena, A., Smith, P., Tilston, E. L., Topp, C. F. E., Vetter, S., & Yeluripati, J. B. (2014). First 20 years of DNDC (DeNitrification DeComposition): Model evolution. Ecological Modelling, 292, 51-62. https://doi.org/10.1016/j.ecolmodel.2014.09.004

@article{d81bed9072a147139bde2aaf6239a8f2,

title = "First 20 years of DNDC (DeNitrification DeComposition): Model evolution",

abstract = "Mathematical models, such as the DNDC (DeNitrification DeComposition) model, are powerful tools that are increasingly being used to examine the potential impacts of management and climate change in agriculture. DNDC can simulate the processes responsible for production, consumption and transport of nitrous oxide (N2O). During the last 20 years DNDC has been modified and adapted by various research groups around the world to suit specific purposes and circumstances. In this paper we review the different versions of the DNDC model including models developed for different ecosystems, e.g. Forest-DNDC, Forest-DNDC-Tropica, regionalised for different areas of the world, e.g. NZ-DNDC, UK-DNDC, modified to suit specific crops, e.g. DNDC-Rice, DNDC-CSW or modularised e.g. Mobile-DNDC, Landscape-DNDC. A 'family tree' and chronological history of the DNDC model is presented, outlining the main features of each version. A literature search was conducted and a survey sent out to c. 1500 model users worldwide to obtain information on the use and development of DNDC. Survey results highlight the many strengths of DNDC including the comparative ease with which the DNDC model can be used and the attractiveness of the graphical user interface. Identified weaknesses could be rectified by providing a more comprehensive user manual, version control and increasing model transparency in collaboration with the Global Research Alliance Modelling Platform (GRAMP), which has much to offer the DNDC user community in terms of promoting the use of DNDC and addressing the deficiencies in the present arrangements for the models' stewardship. (C) 2014 The Authors. Published by Elsevier B.V.",

keywords = "biogeochemistry, process model, N2O, DNDC, greenhouse gases, emissions, nitrous-oxide emissions, process-oriented model, tropical rain-forests, trace gas emissions, agricultural soils, N2O emissions, biogeochemistry model, mechanistic model, Southwest China, UK agriculture",

author = "Gilhespy, {Sarah L.} and Steven Anthony and Laura Cardenas and David Chadwick and {del Prado}, Agustin and Changsheng Li and Thomas Misselbrook and Rees, {Robert M.} and William Salas and Alberto Sanz-Cobena and Pete Smith and Tilston, {Emma L.} and Topp, {Cairistiona F. E.} and Sylvia Vetter and Yeluripati, {Jagadeesh B.}",

note = "Open Access Under a Creative Commons license Article Accepted Date: 10 September 2014 Acknowledgements The authors would like to thank the UK Department for Environment, Food and Rural Affairs (Defra) for funding this study as an addition to the InveN2Ory project (AC0116) aimed at establishing the Global Research Alliance Modelling Platform (GRAMP). Rothamsted Research receives strategic funding from the Biotechnology and Biological Sciences Research Council (BBSRC).",

year = "2014",

month = nov,

day = "24",

doi = "10.1016/j.ecolmodel.2014.09.004",

language = "English",

volume = "292",

pages = "51--62",

journal = "Ecological Modelling",

issn = "0304-3800",

publisher = "Elsevier Science B. V.",

}

TY - JOUR

T1 - First 20 years of DNDC (DeNitrification DeComposition)

T2 - Model evolution

AU - Gilhespy, Sarah L.

AU - Anthony, Steven

AU - Cardenas, Laura

AU - Chadwick, David

AU - del Prado, Agustin

AU - Li, Changsheng

AU - Misselbrook, Thomas

AU - Rees, Robert M.

AU - Salas, William

AU - Sanz-Cobena, Alberto

AU - Smith, Pete

AU - Tilston, Emma L.

AU - Topp, Cairistiona F. E.

AU - Vetter, Sylvia

AU - Yeluripati, Jagadeesh B.

N1 - Open Access Under a Creative Commons license Article Accepted Date: 10 September 2014 Acknowledgements The authors would like to thank the UK Department for Environment, Food and Rural Affairs (Defra) for funding this study as an addition to the InveN2Ory project (AC0116) aimed at establishing the Global Research Alliance Modelling Platform (GRAMP). Rothamsted Research receives strategic funding from the Biotechnology and Biological Sciences Research Council (BBSRC).

PY - 2014/11/24

Y1 - 2014/11/24

N2 - Mathematical models, such as the DNDC (DeNitrification DeComposition) model, are powerful tools that are increasingly being used to examine the potential impacts of management and climate change in agriculture. DNDC can simulate the processes responsible for production, consumption and transport of nitrous oxide (N2O). During the last 20 years DNDC has been modified and adapted by various research groups around the world to suit specific purposes and circumstances. In this paper we review the different versions of the DNDC model including models developed for different ecosystems, e.g. Forest-DNDC, Forest-DNDC-Tropica, regionalised for different areas of the world, e.g. NZ-DNDC, UK-DNDC, modified to suit specific crops, e.g. DNDC-Rice, DNDC-CSW or modularised e.g. Mobile-DNDC, Landscape-DNDC. A 'family tree' and chronological history of the DNDC model is presented, outlining the main features of each version. A literature search was conducted and a survey sent out to c. 1500 model users worldwide to obtain information on the use and development of DNDC. Survey results highlight the many strengths of DNDC including the comparative ease with which the DNDC model can be used and the attractiveness of the graphical user interface. Identified weaknesses could be rectified by providing a more comprehensive user manual, version control and increasing model transparency in collaboration with the Global Research Alliance Modelling Platform (GRAMP), which has much to offer the DNDC user community in terms of promoting the use of DNDC and addressing the deficiencies in the present arrangements for the models' stewardship. (C) 2014 The Authors. Published by Elsevier B.V.

AB - Mathematical models, such as the DNDC (DeNitrification DeComposition) model, are powerful tools that are increasingly being used to examine the potential impacts of management and climate change in agriculture. DNDC can simulate the processes responsible for production, consumption and transport of nitrous oxide (N2O). During the last 20 years DNDC has been modified and adapted by various research groups around the world to suit specific purposes and circumstances. In this paper we review the different versions of the DNDC model including models developed for different ecosystems, e.g. Forest-DNDC, Forest-DNDC-Tropica, regionalised for different areas of the world, e.g. NZ-DNDC, UK-DNDC, modified to suit specific crops, e.g. DNDC-Rice, DNDC-CSW or modularised e.g. Mobile-DNDC, Landscape-DNDC. A 'family tree' and chronological history of the DNDC model is presented, outlining the main features of each version. A literature search was conducted and a survey sent out to c. 1500 model users worldwide to obtain information on the use and development of DNDC. Survey results highlight the many strengths of DNDC including the comparative ease with which the DNDC model can be used and the attractiveness of the graphical user interface. Identified weaknesses could be rectified by providing a more comprehensive user manual, version control and increasing model transparency in collaboration with the Global Research Alliance Modelling Platform (GRAMP), which has much to offer the DNDC user community in terms of promoting the use of DNDC and addressing the deficiencies in the present arrangements for the models' stewardship. (C) 2014 The Authors. Published by Elsevier B.V.

KW - biogeochemistry

KW - process model

KW - N2O

KW - DNDC

KW - greenhouse gases

KW - emissions

KW - nitrous-oxide emissions

KW - process-oriented model

KW - tropical rain-forests

KW - trace gas emissions

KW - agricultural soils

KW - N2O emissions

KW - biogeochemistry model

KW - mechanistic model

KW - Southwest China

KW - UK agriculture

U2 - 10.1016/j.ecolmodel.2014.09.004

DO - 10.1016/j.ecolmodel.2014.09.004

M3 - Literature review

SN - 0304-3800

VL - 292

SP - 51

EP - 62

JO - Ecological Modelling

JF - Ecological Modelling

ER -

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

Abstract

Bibliographical note

Keywords

UN SDGs

Access to Document

Fingerprint

Cite this