Estimating greenhouse gas emissions from soil following liquid manure applications using a unit response curve method

Wang, Gangsheng; Chen, Shulin; Frear, Craig

doi:10.1016/j.geoderma.2011.12.001

Cited by 7 publications

(3 citation statements)

References 41 publications

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“…To determine the relative importance of the three variables in Eqn (20), we carried out a sensitivity analysis (Wang & Xia, 2010;Wang et al, 2012a). The sensitivities of m T to the changes in the three variables are…”

Section: Overall Maintenance Coefficient and Sensitivity Analysismentioning

confidence: 99%

A theoretical reassessment of microbial maintenance and implications for microbial ecology modeling

Wang

Post

2012

FEMS Microbiol Ecol

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We attempted to reconcile three microbial maintenance models (Herbert, Pirt, and Compromise) through a theoretical reassessment. We provided a rigorous proof that the true growth yield coefficient (Y(G)) is the ratio of the specific maintenance rate (a in Herbert) to the maintenance coefficient (m in Pirt). Other findings from this study include: (1) the Compromise model is identical to the Herbert for computing microbial growth and substrate consumption, but it expresses the dependence of maintenance on both microbial biomass and substrate; (2) the maximum specific growth rate in the Herbert (μ(max,H)) is higher than those in the other two models (μ(max,P) and μ(max,C)), and the difference is the physiological maintenance factor (m(q) = a); and (3) the overall maintenance coefficient (m(T)) is more sensitive to m(q) than to the specific growth rate (μ(G)) and Y(G). Our critical reassessment of microbial maintenance provides a new approach for quantifying some important components in soil microbial ecology models.

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Section: Overall Maintenance Coefficient and Sensitivity Analysismentioning

confidence: 99%

A theoretical reassessment of microbial maintenance and implications for microbial ecology modeling

Wang

Post

2012

FEMS Microbiol Ecol

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“…The average background (before manure application) N 2 O flux was 0.005 kg N 2 O-N ha − 1 d − 1 . The details for field data collections and data analysis can be found in Wang et al (2011). The initial NH 4 + and NO 3 − concentrations were 1 g N m − 3 .…”

Section: Model Comparison Through Uncertainty Analysismentioning

confidence: 99%

“…The initial NH 4 + and NO 3 − concentrations were 1 g N m − 3 . It is noticed that the 1-h interval gas flux rates generated from field observations by the UR method (Wang et al, 2011) were used as "observations" in model simulation, because the real observational data were collected with irregular time intervals. The numbers of model parameters used for uncertainty analysis were 8, 10, 4, and 10 in DAYCENT, DNDC, ECOSYS, and COMP, respectively.…”

Section: Model Comparison Through Uncertainty Analysismentioning

confidence: 99%

A review on parameterization and uncertainty in modeling greenhouse gas emissions from soil

Wang

Chen

2012

Geoderma

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SWAT modeling with uncertainty and cluster analyses of tillage impacts on hydrological processes

Wang

Barber

Chen

et al. 2013

Stoch Environ Res Risk Assess

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Estimating greenhouse gas emissions from soil following liquid manure applications using a unit response curve method

Cited by 7 publications

References 41 publications

A theoretical reassessment of microbial maintenance and implications for microbial ecology modeling

A theoretical reassessment of microbial maintenance and implications for microbial ecology modeling

A review on parameterization and uncertainty in modeling greenhouse gas emissions from soil

SWAT modeling with uncertainty and cluster analyses of tillage impacts on hydrological processes

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