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sector:agriculture:manure_management:start [2022/12/14 14:50] – [Table] doeringsector:agriculture:manure_management:start [2022/12/14 15:03] – [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 ==