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

Authors: Gilhespy, S. L.; Anthony, S.; Cardenas, L. M.; Chadwick, D.; Del Prado, A.; Li, C.; Misselbrook, T. H.; +8 Authors

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

Abstract

AbstractMathematical 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.

Keywords

N2O emissions, 330, tropical rain-forests, process model, Process model, biogeochemistry, greenhouse gases, SDG 13 - Climate Action, trace gas emissions, UK agriculture, DNDC, GE, mechanistic model, N2O, emissions, Southwest China, Biogeochemistry, process-oriented model, nitrous-oxide emissions, Ecological Modelling, Greenhouse gases, biogeochemistry model, Emissions, agricultural soils, GE Environmental Sciences

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    popularity
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    Top 1%
    influence
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
232
Top 1%
Top 10%
Top 10%
Green
hybrid