DAYCENT Simulated Effects of Land Use and Climate on County Level N Loss Vectors in the USA

Grosso, Stephen J. Del; Parton, William J.; Ojima, Dennis S.; Keough, Cindy; Riley, Tim; Mosier, A. R.

doi:10.1016/b978-0-12-374347-3.00018-4

Cited by 20 publications

(17 citation statements)

References 47 publications

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“…The parameter constraints were informed by the code developers and the restriction of performance in this case may motivate reevaluation of the bounds. Underestimation of ANPP during the validation period, despite accurate reproduction of soil temperature and VSWC dynamics, is further evidence that the DayCent representations of soil biochemistry are not completely correct (Del Grosso et al, 2008b;Parton et al, 2010). Calibrated DayCent also underestimated the magnitude of soil NO 3 À and NH 4 þ following fertilization events, and since N 2 O fluxes are strongly influenced by soil N, the magnitude of N 2 O fluxes was underestimated as well.…”

Section: Daycent Calibration and Validationmentioning

confidence: 89%

Understanding the DayCent model: Calibration, sensitivity, and identifiability through inverse modeling

Necpálová

Anex

Fienen

et al. 2015

Environmental Modelling & Software

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a b s t r a c tThe ability of biogeochemical ecosystem models to represent agro-ecosystems depends on their correct integration with field observations. We report simultaneous calibration of 67 DayCent model parameters using multiple observation types through inverse modeling using the PEST parameter estimation software. Parameter estimation reduced the total sum of weighted squared residuals by 56% and improved model fit to crop productivity, soil carbon, volumetric soil water content, soil temperature, N 2 O, and soil NO 3 À compared to the default simulation. Inverse modeling substantially reduced predictive model error relative to the default model for all model predictions, except for soil NO 3 À and NH 4 þ . Post-processing analyses provided insights into parametereobservation relationships based on parameter correlations, sensitivity and identifiability. Inverse modeling tools are shown to be a powerful way to systematize and accelerate the process of biogeochemical model interrogation, improving our understanding of model function and the underlying ecosystem biogeochemical processes that they represent.

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Section: Daycent Calibration and Validationmentioning

confidence: 89%

Understanding the DayCent model: Calibration, sensitivity, and identifiability through inverse modeling

Necpálová

Anex

Fienen

et al. 2015

Environmental Modelling & Software

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“…As an example see (Parton et al, 1994;Del Grosso et al, 2008;Kurz et al, 2009;Tuomi et al, 2011;Taghizadeh-Toosi et al, 2014) (Continued)…”

Section: Resultsmentioning

confidence: 99%

“…Few Tier 3 approaches have been developed for accounting C stock changes in forest soils: Finland and Norway inventories use the Yasso model (Tuomi et al, 2011) and Canadian inventory uses the CBM-CFS3 model (Kurz et al, 2009). Considering emissions from agricultural soils the Danish inventory uses the C-Tool model (Taghizadeh-Toosi et al, 2014), the national GHGs Canadian inventory (Environment Canada, 2015) uses the CENTURY model (Parton et al, 1994) and N 2 O emissions are estimated in the US inventory with the Daycent model (Del Grosso et al, 2008).…”

Section: Policy Needsmentioning

confidence: 99%

“…In order to be able to quantify these stocks and fluxes reliable methods are needed. Even though several models have been developed to estimate and forecast the fluxes of GHGs (e.g., Parton et al, 1994;Del Grosso et al, 2008), we still need well-defined long term field measurements to evaluate and validate their predictions. To enable this on a global scale, it is necessary to use methods that give comparable results.…”

Section: Introductionmentioning

confidence: 99%

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Accounting for Carbon Stocks in Soils and Measuring GHGs Emission Fluxes from Soils: Do We Have the Necessary Standards?

Bispo

Andersen

Angers

et al. 2017

Front. Environ. Sci.

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Soil is a key compartment for climate regulation as a source of greenhouse gases (GHGs) emissions and as a sink of carbon. Thus, soil carbon sequestration strategies should be considered alongside reduction strategies for other greenhouse gas emissions. Taking this into account, several international and European policies on climate change are now acknowledging the importance of soils, which means that proper, comparable and reliable information is needed to report on carbon stocks and GHGs emissions from soil. It also implies a need for consensus on the adoption and verification of mitigation options that soil can provide. Where consensus is a key aspect, formal standards and guidelines come into play. This paper describes the existing ISO soil quality standards that can be used in this context, and calls for new ones to be developed through (international) collaboration. Available standards cover the relevant basic soil parameters including carbon and nitrogen content but do not yet consider the dynamics of those elements. Such methods have to be developed together with guidelines consistent with the scale to be investigated and the specific use of the collected data. We argue that this standardization strategy will improve the reliability of the reporting procedures and results of the different climate models that rely on soil quality data.

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“…Such estimates could rely on use of models such as DAYCENT (e.g., Del Grosso et al 2008), but rather than assuming national or broad regional-scale values as now used for LCA-based policy, these techniques would be applied with local and seasonal inputs for soil type and composition, precipitation, and other key variables including management practices. This approach would encourage localized applications of such modeling as well as field work to improve the measurement basis for the modeling.…”

Section: How This Approach Differs From Lcamentioning

confidence: 99%

Biofuels and carbon management

DeCicco

2011

Climatic Change

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Public policy supports biofuels for their benefits to agricultural economies, energy security and the environment. The environmental rationale is premised on greenhouse gas (GHG, "carbon") emissions reduction, which is a matter of contention. This issue is challenging to resolve because of critical but difficult-to-verify assumptions in lifecycle analysis (LCA), limits of available data and disputes about system boundaries. Although LCA has been the presumptive basis of climate policy for fuels, careful consideration indicates that it is inappropriate for defining regulations. This paper proposes a method using annual basis carbon (ABC) accounting to track the stocks and flows of carbon and other relevant GHGs throughout fuel supply chains. Such an approach makes fuel and feedstock production facilities the focus of accounting while treating the CO 2 emissions from fuel end-use at face value regardless of the origin of the fuel carbon (bio-or fossil). Integrated into cap-and-trade policy and including provisions for mitigating indirect land-use change impacts, also evaluated on an annual basis, an ABC approach would provide a sound carbon management framework for the transportation fuels sector.

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DAYCENT Simulated Effects of Land Use and Climate on County Level N Loss Vectors in the USA

Cited by 20 publications

References 47 publications

Understanding the DayCent model: Calibration, sensitivity, and identifiability through inverse modeling

Understanding the DayCent model: Calibration, sensitivity, and identifiability through inverse modeling

Accounting for Carbon Stocks in Soils and Measuring GHGs Emission Fluxes from Soils: Do We Have the Necessary Standards?

Biofuels and carbon management

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