Nutrients/Data uncertainties limitations: Difference between revisions

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{{ComponentDataUncertaintyAndLimitationsTemplate
{{ComponentDataUncertaintyAndLimitationsTemplate
|Status=On hold
|Status=On hold
|Reference=Bouwman et al., 2009; OECD, 2012; FAO, 2012; Beusen et al., 2008;  
|Reference=Bouwman et al., 2009; OECD, 2012; FAO, 2012; Beusen et al., 2008;
|Description=<h2>Data,  uncertainties and limitations</h2>
|Description=<h2>Data,  uncertainties and limitations</h2>
The data used in this chapter stem from various parts of IMAGE, such as those on land cover, biomes, crop production and allocation, livestock, fertiliser use and nutrient excretion rates;  environmental data include those on temperature and precipitation, runoff, and soil properties. External data are used for determining historical N excretion rates, manure spreading and fertiliser use efficiency, whereas their development in the future is a scenario assumption. Additional information only used in this chapter includes lithology, relief and slope of the terrain. The uncertainty of the model parameters are discussed in the various chapters of this book. Additional data used in the nutrient budget model include subnational data as used for the United States and China.  
The data used in this chapter stem from various parts of IMAGE, such as those on land cover, biomes, crop production and allocation, livestock, fertiliser use and nutrient excretion rates;  environmental data include those on temperature and precipitation, runoff, and soil properties. External data are used for determining historical N excretion rates, manure spreading and fertiliser use efficiency, whereas their development in the future is a scenario assumption. Additional information only used in this chapter includes lithology, relief and slope of the terrain. The uncertainty of the model parameters are discussed in the various chapters of this book. Additional data used in the nutrient budget model include subnational data as used for the United States and China.  
Regarding uncertainties, the budget calculations and individual input terms for the year 2000 were found to be in good agreement ([[Bouwman et al., 2009]]) with detailed country estimates for the member countries of the Organisation for Economic Co-operation and Development ([[OECD]]) ([[OECD, 2012]]). However, it is clear that the uncertainty in some of the budget terms is larger than for others. Data on fertiliser use are more reliable than on N and P animal excretions, which is calculated from livestock data ([[FAO, 2012]]) and excretion rates by animal category. Data on crop nutrient withdrawal are less certain than on crop production, because the withdrawal is calculated with fixed global nutrient contents of the harvested shares of marketed crops. Apart from the uncertainty in nutrient contents, major uncertainties arise from lack of data; data on crops that are not marketed and the use of crop residues are not available, and this causes major uncertainties about nutrient withdrawal.
Regarding uncertainties, the budget calculations and individual input terms for the year 2000 were found to be in good agreement ([[Bouwman et al., 2009]]) with detailed country estimates for the member countries of the Organisation for Economic Co-operation and Development ([[OECD]]) ([[OECD, 2012]]). However, it is clear that the uncertainty in some of the budget terms is larger than for others. Data on fertiliser use are more reliable than on N and P animal excretions, which is calculated from livestock data ([[FAO, 2012]]) and excretion rates by animal category. Data on crop nutrient withdrawal are less certain than on crop production, because the withdrawal is calculated with fixed global nutrient contents of the harvested shares of marketed crops. Apart from the uncertainty in nutrient contents, major uncertainties arise from lack of data; data on crops that are not marketed and the use of crop residues are not available, and this causes major uncertainties about nutrient withdrawal.
Sensitivity analysis ([[Beusen et al., 2008]]) showed that the most important determinants of the uncertainty of the nutrient model comprise  
Sensitivity analysis ([[Beusen et al., 2008]]) showed that the most important determinants of the uncertainty of the nutrient model comprise:
# N excretion rates
# N excretion rates
# NH3 emission rates from manure in animal housing and storage systems,  
# NH3 emission rates from manure in animal housing and storage systems,  
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# the fraction of non-agricultural use of manure) specific to mixed and industrial systems
# the fraction of non-agricultural use of manure) specific to mixed and industrial systems
# animal stocks.
# animal stocks.


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Revision as of 12:41, 16 December 2013