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sector:agriculture:manure_management:start [2022/12/14 14:50] – [Table] doeringsector:agriculture:manure_management:start [2022/12/14 15:24] – [Table] doering
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 //Table 1: Population of animals// //Table 1: Population of animals//
-^ Population of animals (in 1000)                                                                                                                                                                           ||||||||||||||||           |+ Population of animals (in 1000)                                                                                                                                                                                     |||||||||||||||||
 |                                      ^  1990      1995      2000      2005      2010     ^  2011      2012      2013      2014      2015      2016      2017      2018      2019      2020      2021     ^ |                                      ^  1990      1995      2000      2005      2010     ^  2011      2012      2013      2014      2015      2016      2017      2018      2019      2020      2021     ^
 | dairy cattle                           6,354.6 |   5,229.4 |   4,569.8 |   4,236.4 |   4,183.1 |   4,190.1 |   4,190.5 |   4,267.6 |   4,295.7 |   4,284.6 |   4,217.7 |   4,199.0 |   4,100.9 |   4,011.7 |   3,921.4 |   3,832.7 | | dairy cattle                           6,354.6 |   5,229.4 |   4,569.8 |   4,236.4 |   4,183.1 |   4,190.1 |   4,190.5 |   4,267.6 |   4,295.7 |   4,284.6 |   4,217.7 |   4,199.0 |   4,100.9 |   4,011.7 |   3,921.4 |   3,832.7 |
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 ==== Additional data ==== ==== Additional data ====
-Emission calculations in accordance with a Tier 2 or Tier 3 method require data on animal performance (animal weight, weight gain, milk yield, milk protein content, milk fat content, numbers of births, numbers of eggs and weights of eggs) and on the relevant feeding details (phase feeding, feed components, protein and energy content, digestibility and feed efficiency). To subdivide officially recorded total numbers of turkeys into roosters and hens, the respective population percentages need to be known. Details on data requirements for the modelling of emissions from livestock husbandry in the German inventory can be found in Voss et al. (2022), Chapters 4 to 8.+Emission calculations in accordance with a Tier 2 or Tier 3 method require data on animal performance (animal weight, weight gain, milk yield, milk protein content, milk fat content, numbers of births, numbers of eggs and weights of eggs) and on the relevant feeding details (phase feeding, feed components, protein and energy content, digestibility and feed efficiency). To subdivide officially recorded total numbers of turkeys into roosters and hens, the respective population percentages need to be known. Details on data requirements for the modelling of emissions from livestock husbandry in the German inventory can be found in Rösemann et al. (2023), Chapter 2.
  
 Most of the data mentioned above is not available from official statistics and was obtained from literature, from publications by agricultural associations, from regulations for agricultural consulting in Germany and from expert judgments. Most of the data mentioned above is not available from official statistics and was obtained from literature, from publications by agricultural associations, from regulations for agricultural consulting in Germany and from expert judgments.
 +
 For 1991, 1995 and 1999, frequency distributions of feeding strategies, husbandry systems (shares of pasturing/stabling; shares of various housing methods), storage types as well as techniques of farm manure spreading were obtained with the help of the RAUMIS agricultural sector model (Regionalisiertes Agrar- und UmweltInformationsystem für Deutschland/ Regionalised agricultural and environmental information system for Germany). RAUMIS has been developed and is operated by the Institute of Rural Studies of the Thünen Institute (Federal Research Institute for Rural Areas, Forestry and Fisheries). For an introduction to RAUMIS see Weingarten (1995) (( Weingarten, 1995: Das „Regionalisierte Agrar- und Umweltinformationssystem für die Bundesrepublik Deutschland“ (RAUMIS). Berichte über die Landwirtschaft Band 73, 272-302.)); a detailed description is provided in Henrichsmeyer et al. (1996) ((Henrichsmeyer, W.; Cypris, Ch.; Löhe, W.; Meuth, M.; Isermeyer F; Heinrich, I.; Schefski, A.; Neander, E.; Fasterding, F.;, Neumann, M.; Nieberg, H., 1996: Entwicklung des gesamtdeutschen Agrarsektormodells RAUMIS96. Endbericht zum Kooperationsprojekt. Forschungsbericht für das BMELF (94 HS 021), Bonn, Braunschweig.)). For 1991, 1995 and 1999, frequency distributions of feeding strategies, husbandry systems (shares of pasturing/stabling; shares of various housing methods), storage types as well as techniques of farm manure spreading were obtained with the help of the RAUMIS agricultural sector model (Regionalisiertes Agrar- und UmweltInformationsystem für Deutschland/ Regionalised agricultural and environmental information system for Germany). RAUMIS has been developed and is operated by the Institute of Rural Studies of the Thünen Institute (Federal Research Institute for Rural Areas, Forestry and Fisheries). For an introduction to RAUMIS see Weingarten (1995) (( Weingarten, 1995: Das „Regionalisierte Agrar- und Umweltinformationssystem für die Bundesrepublik Deutschland“ (RAUMIS). Berichte über die Landwirtschaft Band 73, 272-302.)); a detailed description is provided in Henrichsmeyer et al. (1996) ((Henrichsmeyer, W.; Cypris, Ch.; Löhe, W.; Meuth, M.; Isermeyer F; Heinrich, I.; Schefski, A.; Neander, E.; Fasterding, F.;, Neumann, M.; Nieberg, H., 1996: Entwicklung des gesamtdeutschen Agrarsektormodells RAUMIS96. Endbericht zum Kooperationsprojekt. Forschungsbericht für das BMELF (94 HS 021), Bonn, Braunschweig.)).
  
 RAUMIS did not model complete time series but only selected years. RAUMIS data for the years 1991, 1995, and 1999 are used in the inventory for years 1990 – 1993, 1994 – 1997, and 1998 – 1999, respectively. RAUMIS did not model complete time series but only selected years. RAUMIS data for the years 1991, 1995, and 1999 are used in the inventory for years 1990 – 1993, 1994 – 1997, and 1998 – 1999, respectively.
-For the year 2010, respective data are used that were derived from the 2010 official agricultural census and the simultaneous survey of agricultural production methods (Landwirtschaftliche Zählung 2010, Statistisches Bundesamt/ Federal Statistical Office) as well as the 2011 survey on manure application practices (Erhebung über Wirtschaftsdüngerausbringung, Statistisches Bundesamt/ Federal Statistical Office).+For the year 2009, respective data are used that were derived from the 2010 official agricultural census and the simultaneous survey of agricultural production methods (Landwirtschaftliche Zählung 2010, Statistisches Bundesamt/ Federal Statistical Office) as well as the 2011 survey on manure application practices (Erhebung über Wirtschaftsdüngerausbringung, Statistisches Bundesamt/ Federal Statistical Office).
  
 For the year 2015, data on techniques of farm manure spreading from the 2016 official agricultural census (Agrarstrukturerhebung 2016, Statistisches Bundesamt / Federal Statistical Office) are used. For the year 2015, data on techniques of farm manure spreading from the 2016 official agricultural census (Agrarstrukturerhebung 2016, Statistisches Bundesamt / Federal Statistical Office) are used.
-The gaps between the latest RAUMIS model data (1999) and the first official data (2010) were closed by linear interpolation on district level. For the year 2020 data from the 2020 official agricultural census (Landwirtschaftszählung 2020) are used for housing systems, storage systems and manure spreading systems. +The gaps between the latest RAUMIS model data (1999) and the first official data (2009) were closed by linear interpolation on district level. For the year 2019 data from the 2020 official agricultural census (Landwirtschaftszählung 2020, LW20) are used for housing systems, storage systems and manure spreading systems. 
-For 2011 to 2019 the housing and storage systems data was linearly interpolated between the censuses of 2010 and 2020. The data on manure spreading techniques was linearly interpolated between the census data from 2010 and 2015, and for 2016 to 2019 between the censuses conducted in 2015 and 2020. In addition, it was taken into account that, as of 2012, slurry spread on bare soil has to be incorporated within four hours. For a description of the RAUMIS data, the data from official surveys and additional data from other sources see Vos et al. (2022), Chapter 3.4. Time series of frequency distributions of housing systems, storage systems and application techniques as well as the corresponding emission factors are provided in NIR 2022, Chapter 19.3.2.+For 2010 to 2018 the housing and storage systems data was linearly interpolated between the censuses of 2010 and 2020. The data on manure spreading techniques was linearly interpolated between the census data from 2009 and 2015, and for 2016 to 2018 between the censuses conducted in 2016 and 2020. In addition, it was taken into account that, as of 2012, slurry spread on bare soil has to be incorporated within four hours. For a description of the RAUMIS data, the data from official surveys and additional data from other sources see Rösemann et al. (2023), Chapter 2.5. Time series of frequency distributions of housing systems, storage systems and application techniques as well as the corresponding emission factors are provided in NIR 2023, Chapter 19.3.2.
  
 =====  NH₃ and NOₓ ===== =====  NH₃ and NOₓ =====
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 == N excretion == == N excretion ==
-In order to determine NH<sub>3</sub> and NO<sub>x</sub> emissions from manure management of a specific animal category, the individual N excretion rate must be known as well as, for NH<sub>3</sub>, the TAN content of the N excretions. Default excretion rates are provided by IPCC Guidelines and default TAN contents can be found in the EMEP Guidebook, 2019((EMEP/EEA air pollutant emission inventory guidebook – 2019, EEA Report No 13/2019, https://www.eea.europa.eu/publications/emep-eea-guidebook-2019.)). However, the German agricultural emission inventory uses N mass balances to calculate the N excretions and the TAN contents of almost all reported animal categories to be reported. N mass balance calculations (see below) consider N intake with feed, N retention due to growth, N contained in milk and eggs, and N in offspring. Table 2 presents national means of N excretions and TAN contents. For methodological details and mass balance input data see +In order to determine NH<sub>3</sub> and NO<sub>x</sub> emissions from manure management of a specific animal category, the individual N excretion rate must be known as well as, for NH<sub>3</sub>, the TAN content of the N excretions. Default excretion rates are provided by IPCC Guidelines and default TAN contents can be found in the EMEP Guidebook, 2019((EMEP/EEA air pollutant emission inventory guidebook – 2019, EEA Report No 13/2019, https://www.eea.europa.eu/publications/emep-eea-guidebook-2019.)). However, the German agricultural emission inventory uses N mass balances to calculate the N excretions and the TAN contents of almost all reported animal categories. N mass balance calculations (see below) consider N intake with feed, N retention due to growth, N contained in milk and eggs, and N in offspring. Table 2 presents national means of N excretions and TAN contents. For methodological details and mass balance input data see Rösemann et al. (2023), Chapter 4.as well as Chapter 4.1.2.
-Vos et al. (2022), Chapter 3.3.4.as well as Chapters to 8.+
  
 //Table 2: National means of N excretions and TAN contents// //Table 2: National means of N excretions and TAN contents//
  
-^                                            ^  1990  ^  1995  ^  2000  ^  2005  ^  2010  ^  2011  ^  2012  ^  2013  ^  2014  ^  2015  ^  2016  ^  2017  ^  2018  ^  2019  ^  2020  ^ +^                                            ^  1990  ^  1995  ^  2000  ^  2005  ^  2010  ^  2011  ^  2012  ^  2013  ^  2014  ^  2015  ^  2016  ^  2017  ^  2018  ^  2019  ^  2020   2021  ^ 
-^  mean N excretions in kg per animal place                                                                                                                          |||||||||||||||| +^  mean N excretions in kg per animal place                                                                                                                                  ||||||||||||||||| 
-^ dairy cattle                                 92.0 |   97.9 |  103.8 |  108.9 |  110.|  110.9 |  111.|  110.|  111.|  112.8 |  114.|  113.|  116.|  119.|  121.+^ dairy cattle                                 92.0 |   97.9 |  103.8 |  108.9 |  110.|  110.9 |  111.|  110.|  111.|  112.8 |  114.|  113.|  116.|  119.|  121.4 |  121.9 
-^ other cattle                                 37.9 |   39.9 |   41.3 |   41.2 |   42.1 |   42.0 |   42.0 |   42.|   42.2 |   42.5 |   42.5 |   42.7 |   42.9 |   43.|   43.7 | +^ other cattle                                 37.9 |   39.9 |   41.3 |   41.2 |   42.1 |   42.0 |   42.0 |   42.|   42.2 |   42.5 |   42.5 |   42.7 |   42.9 |   43.|   43.7 |   43.8 
-^ horses                                       48.2 |   48.1 |   49.0 |   48.8 |   48.8 |   48.8 |   48.8 |   48.8 |   48.8 |   48.8 |   48.8 |   48.8 |   48.8 |   48.8 |   48.8 | +^ horses                                       48.2 |   48.1 |   49.0 |   48.8 |   48.8 |   48.8 |   48.8 |   48.8 |   48.8 |   48.8 |   48.8 |   48.8 |   48.8 |   48.8 |   48.8 |   48.9 
-^ sheep                                      |    7.7 |    7.7 |    7.8 |    7.8 |    7.8 |    7.8 |    7.8 |    7.8 |    7.8 |    7.8 |    7.8 |    7.8 |    7.8 |    7.8 |    7.8 | +^ sheep                                      |    7.7 |    7.7 |    7.8 |    7.8 |    7.8 |    7.8 |    7.8 |    7.8 |    7.8 |    7.8 |    7.8 |    7.8 |    7.8 |    7.8 |    7.8 |    7.8 | 
-^ goats                                      |   11.0 |   11.0 |   11.0 |   11.0 |   11.0 |   11.0 |   11.0 |   11.0 |   11.0 |   11.0 |   11.0 |   11.0 |   11.0 |   11.0 |   11.0 | +^ goats                                      |   11.0 |   11.0 |   11.0 |   11.0 |   11.0 |   11.0 |   11.0 |   11.0 |   11.0 |   11.0 |   11.0 |   11.0 |   11.0 |   11.0 |   11.0 |   11.0 | 
-^ swine                                      |   13.0 |   13.4 |   13.2 |   13.0 |   12.8 |   12.|   12.|   12.|   12.|   13.|   13.|   13.|   13.|   13.|   13.+^ swine                                      |   13.0 |   13.4 |   13.2 |   13.0 |   12.8 |   12.|   12.|   12.|   12.|   12.|   12.|   12.|   12.|   12.|   12.4 |   12.6 
-^ laying hens                                |   0.81 |   0.78 |   0.76 |   0.79 |   0.87 |   0.87 |   0.88 |   0.88 |   0.88 |   0.89 |   0.89 |   0.89 |   0.90 |   0.90 |   0.90 | +^ laying hens                                |   0.81 |   0.78 |   0.76 |   0.79 |   0.87 |   0.87 |   0.88 |   0.88 |   0.88 |   0.89 |   0.89 |   0.89 |   0.90 |   0.90 |   0.90 |   0.90 | 
-^ broilers                                     0.48 |   0.41 |   0.45 |   0.49 |   0.51 |   0.48 |   0.42 |   0.38 |   0.40 |   0.40 |   0.40 |   0.40 |   0.41 |   0.40 |   0.39 | +^ broilers                                     0.48 |   0.41 |   0.45 |   0.49 |   0.51 |   0.48 |   0.42 |   0.38 |   0.40 |   0.40 |   0.40 |   0.40 |   0.41 |   0.40 |   0.39 |   0.39 | 
-^ turkeys                                    |    2.0 |    2.0 |    2.0 |    2.2 |    2.2 |    2.2 |    2.3 |    2.3 |    2.3 |    2.3 |    2.3 |    2.3 |    2.2 |    2.2 |    2.1 | +^ turkeys                                    |    2.0 |    2.0 |    2.0 |    2.2 |    2.2 |    2.2 |    2.3 |    2.3 |    2.3 |    2.3 |    2.3 |    2.3 |    2.2 |    2.2 |    2.1 |    2.1 | 
-^ pullets                                    |   0.32 |   0.29 |   0.27 |   0.27 |   0.28 |   0.28 |   0.28 |   0.28 |   0.28 |   0.28 |   0.28 |   0.29 |   0.29 |   0.29 |   0.29 | +^ pullets                                    |   0.32 |   0.29 |   0.27 |   0.27 |   0.28 |   0.28 |   0.28 |   0.28 |   0.28 |   0.28 |   0.28 |   0.29 |   0.29 |   0.29 |   0.29 |   0.29 | 
-^ ducks                                      |   0.61 |   0.61 |   0.61 |   0.61 |   0.61 |   0.61 |   0.61 |   0.61 |   0.61 |   0.61 |   0.61 |   0.61 |   0.61 |   0.61 |   0.61 | +^ ducks                                      |   0.61 |   0.61 |   0.61 |   0.61 |   0.61 |   0.61 |   0.61 |   0.61 |   0.61 |   0.61 |   0.61 |   0.61 |   0.61 |   0.61 |   0.61 |   0.61 | 
-^ geese                                      |   0.70 |   0.70 |   0.70 |   0.70 |   0.70 |   0.70 |   0.70 |   0.70 |   0.70 |   0.70 |   0.70 |   0.70 |   0.70 |   0.70 |   0.70 | +^ geese                                      |   0.70 |   0.70 |   0.70 |   0.70 |   0.70 |   0.70 |   0.70 |   0.70 |   0.70 |   0.70 |   0.70 |   0.70 |   0.70 |   0.70 |   0.70 |   0.70 | 
-^  mean TAN contents in %                                                                                                                                            |||||||||||||||| +^  mean TAN contents in %                                                                                                                                                    ||||||||||||||||| 
-^ dairy cattle                                 58.0 |   55.0 |   52.|   51.3 |   49.9 |   49.5 |   49.2 |   49.|   48.6 |   48.5 |   48.2 |   48.0 |   47.|   47.|   46.+^ dairy cattle                                 58.0 |   55.0 |   53.|   51.3 |   49.9 |   49.5 |   49.2 |   49.|   48.6 |   48.5 |   48.2 |   48.0 |   47.|   46.|   46.5 |   46.5 
-^ other cattle                                 65.5 |   65.7 |   65.7 |   65.7 |   66.0 |   66.1 |   66.|   66.2 |   66.3 |   66.3 |   66.|   66.|   66.|   66.4 |   66.4 | +^ other cattle                                 65.5 |   65.7 |   65.7 |   65.7 |   66.0 |   66.1 |   66.|   66.2 |   66.3 |   66.3 |   66.|   66.|   66.|   66.4 |   66.4 |   66.3 
-^ horses                                       60.0 |   60.0 |   60.0 |   60.0 |   60.0 |   60.0 |   60.0 |   60.0 |   60.0 |   60.0 |   60.0 |   60.0 |   60.0 |   60.0 |   60.0 | +^ horses                                     |   60.0 |   60.0 |   60.0 |   60.0 |   60.0 |   60.0 |   60.0 |   60.0 |   60.0 |   60.0 |   60.0 |   60.0 |   60.0 |   60.0 |   60.0 |   60.0 | 
-^ sheep                                      |   50.0 |   50.0 |   50.0 |   50.0 |   50.0 |   50.0 |   50.0 |   50.0 |   50.0 |   50.0 |   50.0 |   50.0 |   50.0 |   50.0 |   50.0 | +^ sheep                                      |   50.0 |   50.0 |   50.0 |   50.0 |   50.0 |   50.0 |   50.0 |   50.0 |   50.0 |   50.0 |   50.0 |   50.0 |   50.0 |   50.0 |   50.0 |   50.0 | 
-^ goats                                      |   50.0 |   50.0 |   50.0 |   50.0 |   50.0 |   50.0 |   50.0 |   50.0 |   50.0 |   50.0 |   50.0 |   50.0 |   50.0 |   50.0 |   50.0 | +^ goats                                      |   50.0 |   50.0 |   50.0 |   50.0 |   50.0 |   50.0 |   50.0 |   50.0 |   50.0 |   50.0 |   50.0 |   50.0 |   50.0 |   50.0 |   50.0 |   50.0 | 
-^ swine                                      |   72.0 |   71.7 |   71.1 |   71.8 |   72.3 |   72.|   71.|   71.|   71.|   71.|   71.|   71.|   71.|   71.|   71.+^ swine                                      |   72.0 |   71.7 |   71.1 |   71.8 |   72.3 |   72.|   71.|   71.|   71.|   71.|   71.|   71.|   71.|   71.|   70.8 |   70.9 
-^ laying hens                                |   70.2 |   69.6 |   69.0 |   69.3 |   70.0 |   70.0 |   70.0 |   70.2 |   70.2 |   70.2 |   70.2 |   70.2 |   70.2 |   70.2 |   70.2 | +^ laying hens                                |   70.2 |   69.6 |   69.0 |   69.3 |   70.0 |   70.0 |   70.0 |   70.2 |   70.2 |   70.2 |   70.2 |   70.2 |   70.2 |   70.2 |   70.2 |   70.2 | 
-^ broilers                                     60.8 |   58.9 |   56.4 |   53.5 |   50.0 |   49.4 |   48.8 |   48.2 |   47.6 |   46.9 |   46.5 |   46.1 |   45.7 |   45.2 |   44.8 | +^ broilers                                     60.8 |   58.9 |   56.4 |   53.5 |   50.0 |   49.4 |   48.8 |   48.2 |   47.6 |   46.9 |   46.5 |   46.1 |   45.7 |   45.2 |   44.8 |   44.8 | 
-^ turkeys                                    |   64.7 |   64.7 |   63.0 |   63.9 |   63.0 |   63.1 |   63.8 |   63.5 |   63.5 |   63.5 |   63.5 |   63.3 |   63.0 |   63.0 |   62.1 | +^ turkeys                                    |   64.7 |   64.7 |   63.0 |   63.9 |   63.0 |   63.1 |   63.8 |   63.5 |   63.5 |   63.5 |   63.5 |   63.3 |   63.0 |   63.0 |   62.1 |   62.1 | 
-^ pullets                                    |   67.8 |   67.8 |   67.8 |   67.8 |   67.8 |   67.8 |   67.8 |   67.8 |   67.8 |   67.8 |   67.8 |   67.8 |   67.8 |   67.8 |   67.8 | +^ pullets                                    |   67.8 |   67.8 |   67.8 |   67.8 |   67.8 |   67.8 |   67.8 |   67.8 |   67.8 |   67.8 |   67.8 |   67.8 |   67.8 |   67.8 |   67.8 |   67.8 | 
-^ ducks                                      |   49.9 |   49.9 |   49.9 |   49.9 |   49.9 |   49.9 |   49.9 |   49.9 |   49.9 |   49.9 |   49.9 |   49.9 |   49.9 |   49.9 |   49.9 | +^ ducks                                      |   49.9 |   49.9 |   49.9 |   49.9 |   49.9 |   49.9 |   49.9 |   49.9 |   49.9 |   49.9 |   49.9 |   49.9 |   49.9 |   49.9 |   49.9 |   49.9 | 
-^ geese                                      |   70.0 |   70.0 |   70.0 |   70.0 |   70.0 |   70.0 |   70.0 |   70.0 |   70.0 |   70.0 |   70.0 |   70.0 |   70.0 |   70.0 |   70.0 |+^ geese                                      |   70.0 |   70.0 |   70.0 |   70.0 |   70.0 |   70.0 |   70.0 |   70.0 |   70.0 |   70.0 |   70.0 |   70.0 |   70.0 |   70.0 |   70.0 |   70.0 |
  
 == N mass flow and emission assessment == == N mass flow and emission assessment ==
Line 140: Line 140:
  
 The model allows tracing of the pathways of the two N fractions after excretion. The various locations where excretion may take place are considered. The partial mass flows down to the input to soil are represented.  The model allows tracing of the pathways of the two N fractions after excretion. The various locations where excretion may take place are considered. The partial mass flows down to the input to soil are represented. 
-During storage Norg can be transformed into TAN and vice versa. Both, the way and the magnitude of such transformations may be influenced by manure treatment processes like, e. g., anaerobic digestion where a considerable fraction of Norg is mineralized to TAN. For details see Vos et al. (2022), Chapters 3.3.4.3 and 3.3.4.4. Wherever NH<sub>3</sub> is emitted, its formation is related to the amount of the TAN present. N<sub>2</sub>O emissions are related to the total amount of N available (Norg + TAN). NO<sub>x</sub> emissions (i. e. NO emissions) are calculated proportionally to the N<sub>2</sub>O emissions, see section 'Emission factors'. Note that the N<sub>2</sub>O, NO<sub>x</sub> and N2 emissions from the various storage systems include the respective emissions from the related housing systems.+During storage Norg can be transformed into TAN and vice versa. Both, the way and the magnitude of such transformations may be influenced by manure treatment processes like, e. g., anaerobic digestion where a considerable fraction of Norg is mineralized to TAN. For details see Rösemann et al. (2023), Chapter 4.2. Wherever NH<sub>3</sub> is emitted, its formation is related to the amount of the TAN present. N<sub>2</sub>O emissions are related to the total amount of N available (Norg + TAN). NO<sub>x</sub> emissions (i. e. NO emissions) are calculated proportionally to the N<sub>2</sub>O emissions, see section 'Emission factors'. Note that the N<sub>2</sub>O, NO<sub>x</sub> and N2 emissions from the various storage systems include the respective emissions from the related housing systems.
  
 == Air scrubber systems in swine and poultry housings == == Air scrubber systems in swine and poultry housings ==
-For pig and poultry production the inventory model considers the effect of air scrubbing. Data on frequencies of air scrubbing facilities and the removal efficiency are provided by KTBL (Kuratorium für Technik und Bauwesen in der Landwirtschaft / Association for Technology and Structures in Agriculture). The average removal efficiency of NH<sub>3</sub> is 80 % for swine and 70 % for poultry, while for TSP and PM<sub>10</sub> the rates are set to 90 % and for PM<sub>2.5</sub> to 70 % for both animal categories. For swine two types of air scrubbers are distinguished: certified systems that remove both NH<sub>3</sub> and particles, and non-certified systems that remove only particles.+For pig and poultry production the inventory model considers the effect of air scrubbing. Data on frequencies of air scrubbing facilities and the removal efficiency are provided by KTBL (Kuratorium für Technik und Bauwesen in der Landwirtschaft / Association for Technology and Structures in Agriculture) supplemented by data from the 2020 agricultural census. The average removal efficiency of NH<sub>3</sub> is 80 % for swine and 70 % for poultry, while for TSP and PM<sub>10</sub> the rates are set to 90 % and for PM<sub>2.5</sub> to 70 % for both animal categories. For swine two types of air scrubbers are distinguished: systems of “first class” that remove both NH<sub>3</sub> and particles, and ”second class” systems that remove only particles reliably and have a NH<sub>3</sub> removal efficiency of 20%.
  
-According to the KTBL data, 7.% of all pig places were equipped with certified systems in 2020, another 0.% were equipped with non-certified systems. For poultry 0.6 % of all laying hen places and 1.8 % of all broiler places were equipped with air scrubbers that remove both NH<sub>3</sub> and particles. +According to the KTBL data, 6.% of all pig places were equipped with ”first class” systems  in 2021, another 11.% were equipped with "second class" systems. For poultry % of all laying hen places and 2.1 % of all broiler places were equipped with air scrubbers that remove both NH<sub>3</sub> and particles. 
-The amounts of NH<sub>3</sub>-N removed by air scrubbing are completely added to the pools of total N and TAN for landspreading. For details see Vos et al. (2022), Chapter 3.3.4.3.3.+The amounts of NH<sub>3</sub>-N removed by air scrubbing are completely added to the pools of total N and TAN for landspreading. For details see Rösemann et al. (2023), Chapter 4.2.2.
  
 == Anaerobic digestion of manure == == Anaerobic digestion of manure ==
-According to IPCC (2006), anaerobic digestion of manure is treated like a particular storage type that, however, comprises three sub-compartments (pre-storage, fermenter and storage of digestates). For details see Vos et al. (2022), Chapters 3.3.4.4 and 3.4.4.2. The resulting digestates are considered as liquid. Two different types of digestates storage systems are considered: gastight storage and open tank. For open tanks formation of a natural crust because of co-fermentation with energy crops is taken into account. Furthermore, the modelling of anaerobic digestion and spreading of the digestates takes into account that the amount of TAN in the digestates is higher than in untreated slurry and that the frequencies of spreading techniques differ from those for untreated slurry.+According to IPCC (2006), anaerobic digestion of manure is treated like a particular storage type that, however, comprises three sub-compartments (pre-storage, fermenter and storage of digestates). For details see Rösemann et al. (2023), Chapters 2.and 4.2.5. The resulting digestates are considered as liquid. Two different types of digestates storage systems are considered: gastight storage and open tank. For open tanks formation of a natural crust because of co-fermentation with energy crops is taken into account. Furthermore, the modelling of anaerobic digestion and spreading of the digestates takes into account that the amount of TAN in the digestates is higher than in untreated slurry and that the frequencies of spreading techniques differ from those for untreated slurry.
  
 NH<sub>3</sub> and NO emissions occur from pre-storage of solid manure, from non-gastight storage of digestates and from land-spreading of digestates (NH<sub>3</sub> emissions and NO emissions from landspreading of digested manure are reported in 3.Da.2.a). There are no such emissions from pre-storage of slurry, from the fermenter and from gastight storage of digestates. Note that NH<sub>3</sub> and NO emissions calculated with respect to the digestion of animal manures do not comprise the contributions by co-digested energy crops. The latter are dealt with separately in 3.D.a.2.c and 3.I. NH<sub>3</sub> and NO emissions occur from pre-storage of solid manure, from non-gastight storage of digestates and from land-spreading of digestates (NH<sub>3</sub> emissions and NO emissions from landspreading of digested manure are reported in 3.Da.2.a). There are no such emissions from pre-storage of slurry, from the fermenter and from gastight storage of digestates. Note that NH<sub>3</sub> and NO emissions calculated with respect to the digestion of animal manures do not comprise the contributions by co-digested energy crops. The latter are dealt with separately in 3.D.a.2.c and 3.I.
Line 157: Line 157:
  
 The detailed NH<sub>3</sub> emission factors are, in general, related to the amount of TAN available at the various stages of the N flow chain. The emission factors for laying hens, broilers, pullets, ducks and turkeys are related to N. Most NH<sub>3</sub> emission factors are country-specific but some are taken from EMEP (2019). No specific NH<sub>3</sub> emission factors are known for the application of digested manure. However, due to co-fermentation with energy crops, the viscosity of digested manure resembles that of untreated cattle slurry. Hence, the emission factors for untreated cattle slurry are adopted for the application of digested manure. The detailed NH<sub>3</sub> emission factors are, in general, related to the amount of TAN available at the various stages of the N flow chain. The emission factors for laying hens, broilers, pullets, ducks and turkeys are related to N. Most NH<sub>3</sub> emission factors are country-specific but some are taken from EMEP (2019). No specific NH<sub>3</sub> emission factors are known for the application of digested manure. However, due to co-fermentation with energy crops, the viscosity of digested manure resembles that of untreated cattle slurry. Hence, the emission factors for untreated cattle slurry are adopted for the application of digested manure.
-For the detailed emission factors of livestock husbandry see Vos et al. (2022), Chapters to 8; for emission factors of digested manure see Vos et al(2022), Chapter 3.4.4.2.4. Table 3 provides, by animal category, the implied NH<sub>3</sub> emission factors for manure management (housing and storage). The overall German NH<sub>3</sub> IEF for manure application is reported in section 3.D.a.2.a.+For the detailed emission factors of livestock husbandry see Rösemann et al. (2023), Chapter 4.3.  
 + 
 +Table 3 provides, by animal category, the implied NH<sub>3</sub> emission factors for manure management (housing and storage). The overall German NH<sub>3</sub> IEF for manure application is reported in section 3.D.a.2.a.
  
-The detailed emission factors for N<sub>2</sub>O, NO<sub>x</sub> and N<sub>2</sub> relate to the amount of N available which is N excreted plus, in case of solid manure systems, N input with bedding material. The N<sub>2</sub>O emission factors are taken from IPCC (2006). The emission factors for NO<sub>x</sub> and N<sub>2</sub> are approximated as being proportional to the N<sub>2</sub>O emission factors, i.e. the NO-N and N<sub>2</sub> emission factors are, respectively, one-tenth and three times the value of the N<sub>2</sub>O-N emission factor, see Vos et al. (2022), chapter 3.3.4.3.5. This proportionality is also applied to anaerobic digestion of manure, where N<sub>2</sub>O emissions occur from pre-storage of solid manure and non-gastight storage of digestates with the emission factors being those used for normal storage of solid manure and the storage of untreated slurry with natural crust provided by IPCC (2006). Note that the inventory model calculates NO rather than NOx. The conversion of NO emissions into NO<sub>x</sub> emissions is achieved by multiplying the NO emissions with the NO<sub>2</sub>/ NO molar weight ratio of 46/30. This relationship also holds for NO and NO<sub>x</sub> emission factors.+The the detailed emission factors for N<sub>2</sub>O, NO<sub>x</sub> and N<sub>2</sub> relate to the amount of N available which is N excreted plus, in case of solid manure systems, N input with bedding material. The N<sub>2</sub>O emission factors are taken from IPCC (2006). The emission factors for NO<sub>x</sub> and N<sub>2</sub> are approximated as being proportional to the N<sub>2</sub>O emission factors, i.e. the NO-N and N<sub>2</sub> emission factors are, respectively, one-tenth and three times the value of the N<sub>2</sub>O-N emission factor, see Rösemann et al. (2023), chapter 4.2.4. This proportionality is also applied to anaerobic digestion of manure, where N<sub>2</sub>O emissions occur from pre-storage of solid manure and non-gastight storage of digestates with the emission factors being those used for normal storage of solid manure and the storage of untreated slurry with natural crust provided by IPCC (2006). Note that the inventory model calculates NO rather than NOx. The conversion of NO emissions into NO<sub>x</sub> emissions is achieved by multiplying the NO emissions with the NO<sub>2</sub>/ NO molar weight ratio of 46/30. This relationship also holds for NO and NO<sub>x</sub> emission factors.
  
 Table 3 shows the implied emission factors of NH<sub>3</sub> and NO<sub>x</sub> for the various animal categories. These emission factors normalize emissions from an animal category as the ratio of the total emission to the respective number of animals. Table 3 shows the implied emission factors of NH<sub>3</sub> and NO<sub>x</sub> for the various animal categories. These emission factors normalize emissions from an animal category as the ratio of the total emission to the respective number of animals.
  
 //Table 3: IEF for NH<sub>3</sub> & NO<sub>x</sub> from manure management// //Table 3: IEF for NH<sub>3</sub> & NO<sub>x</sub> from manure management//
-|                                  ^  1990    ^  1995    ^  2000    ^  2005    ^  2010    ^  2011    ^  2012    ^  2013    ^  2014    ^  2015    ^  2016    ^  2017    ^  2018    ^  2019    ^  2020    ^ +|                                  ^  1990    ^  1995    ^  2000    ^  2005    ^  2010    ^  2011    ^  2012    ^  2013    ^  2014    ^  2015    ^  2016    ^  2017    ^  2018    ^  2019    ^  2020     2021    ^ 
-^  IEF in kg NH₃ per animal place                                                                                                                                                        |||||||||||||||| +^  IEF in kg NH₃ per animal place                                                                                                                                                  
-^ dairy cattle                          9.8 |     10.|     11.1 |     12.|     12.|     12.8 |     12.8 |     12.9 |     13.1 |     13.|     13.|     13.|     14.|     14.|     15.+^ dairy cattle                          9.8 |     10.|     11.1 |     12.|     12.7 |     12.8 |     12.8 |     12.8 |     12.9 |     13.1 |     13.|     13.|     13.|     13.|     14.|     14.
-^ other cattle                          7.|      7.4 |      7.7 |      8.2 |      8.|      8.|      8.6 |      8.|      8.8 |      8.|      9.|      9.|      9.|      9.|      9.+^ other cattle                          6.|      6.3 |      6.4 |      6.7 |      7.2 |      7.|      7.|      6.9 |      6.|      6.8 |      6.|      6.|      6.|      6.|      6.|      6.
-^ horses                               13.5 |     13.5 |     13.7 |     13.7 |     13.7 |     13.7 |     13.7 |     13.7 |     13.7 |     13.7 |     13.7 |     13.7 |     13.7 |     13.7 |     13.7 | +^ horses                               13.5 |     13.5 |     13.7 |     13.7 |     13.7 |     13.7 |     13.7 |     13.7 |     13.7 |     13.7 |     13.7 |     13.7 |     13.7 |     13.7 |     13.7 |     13.7 | 
-^ sheep                            |     0.83 |     0.82 |     0.84 |     0.83 |     0.84 |     0.83 |     0.83 |     0.83 |     0.83 |     0.83 |     0.83 |     0.83 |     0.82 |     0.83 |     0.83 | +^ sheep                            |     0.83 |     0.82 |     0.84 |     0.83 |     0.84 |     0.83 |     0.83 |     0.83 |     0.83 |     0.83 |     0.83 |     0.83 |     0.82 |     0.83 |     0.83 |     0.82 
-^ goats                            |     1.62 |     1.62 |     1.62 |     1.62 |     1.62 |     1.62 |     1.62 |     1.62 |     1.62 |     1.62 |     1.62 |     1.62 |     1.62 |     1.62 |     1.62 | +^ goats                            |     1.62 |     1.62 |     1.62 |     1.62 |     1.62 |     1.62 |     1.62 |     1.62 |     1.62 |     1.62 |     1.62 |     1.62 |     1.62 |     1.62 |     1.62 |     1.62 | 
-^ swine                            |     4.60 |     4.50 |     4.37 |     4.30 |     4.13 |     4.07 |     4.03 |     4.00 |     3.98 |     4.02 |     4.00 |     3.98 |     3.97 |     3.94 |     3.92 +^ swine                            |     4.53 |     4.45 |     4.33 |     4.25 |     4.08 |     4.01 |     3.94 |     3.89 |     3.84 |     3.86 |     3.81 |     3.77 |     3.73 |     3.67 |     3.63 |     3.67 
-^ laying hens                      |    0.212 |    0.203 |    0.199 |    0.198 |    0.142 |    0.144 |    0.144 |    0.145 |    0.146 |    0.146 |    0.147 |    0.147 |    0.148 |    0.149 |    0.150 +^ laying hens                      |    0.214 |    0.206 |    0.211 |    0.209 |    0.137 |    0.138 |    0.136 |    0.135 |    0.133 |    0.132 |    0.130 |    0.129 |    0.128 |    0.126 |    0.125 |    0.125 
-^ broilers                            0.143 |    0.120 |    0.128 |    0.131 |    0.128 |    0.118 |    0.103 |    0.092 |    0.094 |    0.094 |    0.094 |    0.093 |    0.094 |    0.092 |    0.089 | +^ broilers                            0.143 |    0.120 |    0.128 |    0.131 |    0.128 |    0.118 |    0.103 |    0.092 |    0.094 |    0.094 |    0.094 |    0.093 |    0.094 |    0.092 |    0.089 |    0.088 
-^ turkeys                          |    0.793 |    0.793 |    0.797 |    0.874 |    0.836 |    0.839 |    0.892 |    0.862 |    0.861 |    0.859 |    0.860 |    0.860 |    0.835 |    0.835 |    0.784 +^ turkeys                          |    0.793 |    0.793 |    0.797 |    0.874 |    0.836 |    0.839 |    0.892 |    0.862 |    0.860 |    0.859 |    0.859 |    0.860 |    0.835 |    0.835 |    0.783 |    0.783 
-^ pullets                          |    0.103 |    0.095 |    0.087 |    0.087 |    0.084 |    0.083 |    0.083 |    0.082 |    0.082 |    0.082 |    0.083 |    0.083 |    0.084 |    0.084 |    0.084 +^ pullets                          |    0.103 |    0.095 |    0.087 |    0.087 |    0.084 |    0.083 |    0.083 |    0.082 |    0.082 |    0.082 |    0.083 |    0.083 |    0.084 |    0.084 |    0.083 |    0.083 
-^ ducks                            |    0.193 |    0.193 |    0.193 |    0.192 |    0.189 |    0.188 |    0.188 |    0.186 |    0.186 |    0.185 |    0.185 |    0.186 |    0.186 |    0.186 |    0.186 +^ ducks                            |    0.193 |    0.193 |    0.193 |    0.192 |    0.189 |    0.188 |    0.188 |    0.186 |    0.186 |    0.185 |    0.185 |    0.185 |    0.186 |    0.186 |    0.185 |    0.185 
-^ geese                            |    0.384 |    0.384 |    0.384 |    0.383 |    0.380 |    0.380 |    0.380 |    0.379 |    0.379 |    0.378 |    0.378 |    0.378 |    0.378 |    0.378 |    0.378 | +^ geese                            |    0.384 |    0.384 |    0.384 |    0.383 |    0.380 |    0.380 |    0.380 |    0.379 |    0.379 |    0.378 |    0.378 |    0.378 |    0.378 |    0.378 |    0.378 |    0.378 | 
-^  IEF in kg NOₓ per animal place                                                                                                                                                        |||||||||||||||| +^  IEF in kg NOₓ per animal place                                                                                                                                                  
-^ dairy cattle                        0.106 |    0.114 |    0.125 |    0.130 |    0.125 |    0.123 |    0.119 |    0.117 |    0.117 |    0.118 |    0.120 |    0.120 |    0.123 |    0.126 |    0.129 +^ dairy cattle                        0.106 |    0.114 |    0.125 |    0.130 |    0.126 |    0.124 |    0.120 |    0.117 |    0.118 |    0.119 |    0.120 |    0.120 |    0.123 |    0.126 |    0.128 |    0.128 
-^ other cattle                        0.053 |    0.057 |    0.059 |    0.062 |    0.064 |    0.063 |    0.063 |    0.063 |    0.064 |    0.064 |    0.065 |    0.066 |    0.066 |    0.068 |    0.069 | +^ other cattle                        0.053 |    0.057 |    0.059 |    0.063 |    0.064 |    0.064 |    0.064 |    0.064 |    0.064 |    0.065 |    0.065 |    0.066 |    0.067 |    0.068 |    0.068 |    0.069 | 
-^ horses                              0.084 |    0.084 |    0.086 |    0.086 |    0.085 |    0.085 |    0.085 |    0.085 |    0.085 |    0.085 |    0.085 |    0.086 |    0.086 |    0.086 |    0.086 | +^ horses                              0.084 |    0.084 |    0.086 |    0.086 |    0.085 |    0.085 |    0.085 |    0.085 |    0.085 |    0.085 |    0.085 |    0.086 |    0.086 |    0.086 |    0.086 |    0.086 | 
-^ sheep                            |    0.006 |    0.006 |    0.006 |    0.006 |    0.006 |    0.006 |    0.006 |    0.006 |    0.006 |    0.006 |    0.006 |    0.006 |    0.006 |    0.006 |    0.006 | +^ sheep                            |    0.006 |    0.006 |    0.006 |    0.006 |    0.006 |    0.006 |    0.006 |    0.006 |    0.006 |    0.006 |    0.006 |    0.006 |    0.006 |    0.006 |    0.006 |    0.006 | 
-^ goats                            |    0.013 |    0.013 |    0.013 |    0.013 |    0.013 |    0.013 |    0.013 |    0.013 |    0.013 |    0.013 |    0.013 |    0.013 |    0.013 |    0.013 |    0.013 | +^ goats                            |    0.013 |    0.013 |    0.013 |    0.013 |    0.013 |    0.013 |    0.013 |    0.013 |    0.013 |    0.013 |    0.013 |    0.013 |    0.013 |    0.013 |    0.013 |    0.013 | 
-^ swine                            |    0.011 |    0.013 |    0.012 |    0.014 |    0.014 |    0.014 |    0.013 |    0.013 |    0.013 |    0.013 |    0.013 |    0.013 |    0.012 |    0.012 |    0.012 +^ swine                            |    0.011 |    0.013 |    0.012 |    0.014 |    0.014 |    0.014 |    0.013 |    0.013 |    0.013 |    0.012 |    0.012 |    0.012 |    0.012 |    0.011 |    0.011 |    0.011 
-^ laying hens                      |  0.00027 |  0.00026 |  0.00026 |  0.00029 |  0.00035 |  0.00035 |  0.00034 |  0.00034 |  0.00034 |  0.00034 |  0.00034 |  0.00034 |  0.00034 |  0.00034 |  0.00034 +^ laying hens                      |  0.00027 |  0.00026 |  0.00025 |  0.00029 |  0.00035 |  0.00035 |  0.00033 |  0.00033 |  0.00033 |  0.00033 |  0.00033 |  0.00033 |  0.00033 |  0.00033 |  0.00033 |  0.00033 
-^ broilers                          0.00016 |  0.00014 |  0.00015 |  0.00018 |  0.00020 |  0.00019 |  0.00016 |  0.00015 |  0.00015 |  0.00015 |  0.00015 |  0.00015 |  0.00015 |  0.00015 |  0.00015 | +^ broilers                          0.00016 |  0.00014 |  0.00015 |  0.00018 |  0.00020 |  0.00019 |  0.00016 |  0.00015 |  0.00015 |  0.00015 |  0.00015 |  0.00015 |  0.00015 |  0.00015 |  0.00015 |  0.00015 | 
-^ turkeys                          |  0.00067 |  0.00067 |  0.00070 |  0.00084 |  0.00090 |  0.00091 |  0.00092 |  0.00090 |  0.00089 |  0.00089 |  0.00089 |  0.00089 |  0.00086 |  0.00085 |  0.00081 | +^ turkeys                          |  0.00067 |  0.00067 |  0.00070 |  0.00084 |  0.00090 |  0.00091 |  0.00092 |  0.00090 |  0.00089 |  0.00089 |  0.00089 |  0.00089 |  0.00086 |  0.00085 |  0.00081 |  0.00081 | 
-^ pullets                          |  0.00011 |  0.00010 |  0.00009 |  0.00010 |  0.00012 |  0.00012 |  0.00011 |  0.00011 |  0.00011 |  0.00011 |  0.00011 |  0.00011 |  0.00011 |  0.00011 |  0.00011 | +^ pullets                          |  0.00011 |  0.00010 |  0.00009 |  0.00010 |  0.00012 |  0.00012 |  0.00011 |  0.00011 |  0.00011 |  0.00011 |  0.00011 |  0.00011 |  0.00011 |  0.00011 |  0.00011 |  0.00011 | 
-^ ducks                            |  0.00024 |  0.00024 |  0.00024 |  0.00025 |  0.00027 |  0.00027 |  0.00026 |  0.00027 |  0.00027 |  0.00027 |  0.00027 |  0.00027 |  0.00027 |  0.00026 |  0.00026 | +^ ducks                            |  0.00024 |  0.00024 |  0.00024 |  0.00025 |  0.00027 |  0.00027 |  0.00026 |  0.00027 |  0.00027 |  0.00027 |  0.00027 |  0.00027 |  0.00027 |  0.00026 |  0.00026 |  0.00026 | 
-^ geese                            |  0.00024 |  0.00024 |  0.00025 |  0.00027 |  0.00030 |  0.00030 |  0.00028 |  0.00029 |  0.00028 |  0.00029 |  0.00029 |  0.00029 |  0.00028 |  0.00028 |  0.00028 |+^ geese                            |  0.00024 |  0.00024 |  0.00025 |  0.00027 |  0.00030 |  0.00030 |  0.00028 |  0.00029 |  0.00028 |  0.00029 |  0.00029 |  0.00029 |  0.00028 |  0.00028 |  0.00028 |  0.00028 |
  
 == Trend discussion for Key Sources == == Trend discussion for Key Sources ==