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sector:agriculture:start [2022/12/14 12:34] – [Reasons for recalculations] doering | sector:agriculture:start [2025/04/02 14:30] (current) – [Reasons for recalculations] niebuhr | ||
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Emissions occurring in the agricultural sector in Germany derive from manure management (NFR 3.B), agricultural soils (NFR 3.D) and agriculture other (NFR 3.I). | Emissions occurring in the agricultural sector in Germany derive from manure management (NFR 3.B), agricultural soils (NFR 3.D) and agriculture other (NFR 3.I). | ||
- | Germany does not report emissions in category field burning (NFR 3.F) (key note: NO), because burning of agricultural residues is prohibited by law (see Rösemann et al., 2023)((Rösemann C, Vos C, Haenel H-D, Dämmgen U, Döring U, Wulf S, Eurich-Menden B, Freibauer A, Döhler H, Steuer, B, Osterburg B, Fuß R (2023) Calculations of gaseous and particulate emissions from German agriculture 1990 – 2021 : Report on methods and data (RMD) Submission | + | Germany does not report emissions in category field burning (NFR 3.F) (key note: NO), because burning of agricultural residues is prohibited by law (see Rösemann et al., 2025)((Rösemann, C., Vos, C., Haenel, H.-D., Dämmgen, U., Döring, U., Wulf, S., Eurich-Menden, B., Freibauer, A., Döhler, H., Schreiner, C., Osterburg, B., Fuß,R. (2025) Calculations of gaseous and particulate emissions from German agriculture 1990 – 2023 : Report on methods and data (RMD) Submission |
The pollutants reported are: | The pollutants reported are: | ||
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No heavy metal emissions are reported. | No heavy metal emissions are reported. | ||
- | In 2020 the agricultural sector emitted | + | The calculations for the present IIR 2024 were finished before |
- | As depicted in the diagram below, in 2021 XX % of Germany’s total NH< | + | In 2023 the agricultural sector emitted 527.0 Gg of NH< |
- | HCB emissions of pesticide use contributed XX % to the total German emissions. | + | |
+ | As depicted in the diagram below, in 2023 92.6 % of Germany’s total NH< | ||
====Mitigation measures==== | ====Mitigation measures==== | ||
- | + | The agricultural inventory model can represent several abatement measures for emissions of NH< | |
- | The agricultural inventory model can represent several abatement measures for emissions of NH< | + | |
* changes in animal numbers and amount of applied fertilizers | * changes in animal numbers and amount of applied fertilizers | ||
- | * air scrubbing techniques: yearly updated 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) and from the agricultural census 2020. The average removal efficiency of NH< | + | * air scrubbing techniques: yearly updated 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) and also based on the agricultural census 2020. The average removal efficiency of NH< |
- | * reduced raw protein content in feeding of fattening pigs: the german | + | * reduced raw protein content in feeding of fattening pigs: the German |
- | * reduced raw protein content in feeding and feed conversion rates of broilers: the German animal nutrition association (DVT, Deutscher Verband Tiernahrung e.V.) provides data on the raw protein content of fattening broiler feed, and feed conversion rates of broilers. This makes it possible to model the changes in N-excretions over the time series. | + | * reduced raw protein content in feeding and feed conversion rates of broilers: the German animal nutrition association (DVT, Deutscher Verband Tiernahrung e.V.) provides data on the raw protein content of fattening broiler feed, and feed conversion rates of broilers. This makes it possible to model the changes in N-excretions over the timeseries. |
- | * low emission spreading techniques of manure: official agricultural censuses survey the distribution | + | * low emission spreading techniques of manure: official agricultural censuses survey the prevalence |
- | * covering of slurry storage: agricultural censuses survey the distribution | + | * covering of slurry storage: agricultural censuses survey the prevalence |
- | * use of urease inhibitors: for urea fertilizer the German fertilizer ordinance prescribes the use of urease inhibitors or the direct incorporation into the soil from 2020 onwards.The NH< | + | * use of urease inhibitors: for urea fertilizer the German fertilizer ordinance prescribes the use of urease inhibitors or the direct incorporation into the soil from 2020 onwards. The NH< |
+ | |||
+ | For NO< | ||
- | For NO< | ||
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(see [[general: | (see [[general: | ||
- | The following list summarizes the most important reasons for recalculations. Recalculations result from improvements in input data and methodologies (for details see Rösemann et al. (2023), Chapter 1.3). | + | The following list summarizes the most important reasons for recalculations. Recalculations result from improvements in input data and methodologies (for details see Rösemann et al. (2025), Chapter 1.3). |
+ | - Mineral fertilizers: | ||
+ | - Crop residues: NH3 emissions from crop residues are calculated for the first time according to the tier 2 method from EMEP (2023). To facilitate this, cover crops are now included in the inventory data. Cover crops are also a newly reported source of PM emissions from soils. | ||
+ | - Cattle and pigs: improved emission factors for cattle and pig housing were introduced based on national research projects. | ||
+ | - Horses: The animal numbers were corrected in all years and all districts by a factor of 2.75 to include horses which are kept outside of agricultural holdings and not counted by agricultural census. All horses are reported under 3.B as permitted by EMEP (2023) Section 4.2. | ||
+ | - Transformation processes in storage: The previous assumption for untreated slurry that 10 % of the TAN entering storage is converted to Norg (immobilization) was dropped because no sufficient scientific evidence could be found for this. | ||
+ | - Manure Management emission factors for N2O, NOx and N2: N2O emission factors were adopted from the IPCC Refinement (2019). The N2O EF for solid manure storage doubles, which then also applies to the corresponding NOx and N2 EFs. | ||
+ | - Dairy cows: Milk yield and slaughter weights for 2022 have been slightly corrected in the official statistics. | ||
+ | - Heifers: 2022 slaughter weights have been slightly corrected in the official statistics. | ||
+ | - Male beef cattle: In some years, slaughter ages and slaughter weights have been updated in the HIT database. | ||
+ | - Numbers of laying hens, pullets and broilers were corrected in the years before 2013. The numbers are higher than in earlier submissions.. | ||
+ | - Sows: For several federal states, confidential data for number of piglets per sow and year has been replaced. | ||
+ | - Fattening pigs: for several federal confidential data for growth rates, start weights and final weights has been replaced. For Saxony and Saxony-Anhalt (no more recent data available than 2016 or 2017) the corresponding data from the neighboring federal state of Thuringia was adopted instead of keeping the last known value as was previously the case. | ||
+ | - Poultry: amounts of straw were corrected for all poultry categories | ||
+ | - Broilers: Update of the national gross production of broiler meat in 2022. | ||
+ | - Laying hens and pullets: due to new weight data for laying hens for 2021, the starting and final weights of laying hens have been recalculated for the entire timeseries. Since the initial weight of the laying hens corresponds to the final weight of the pullets, this also has (small) effects on the energy requirements and excretion of the pullets. | ||
+ | - Animal numbers horses, poultry, goats for 2021 and 2022: The previously extrapolated animal numbers for 2021 and 2022 have been replaced by interpolated animal numbers, as new figures from the agricultural structure survey are available for 2023. | ||
+ | - Application of inorganic fertilizers: | ||
+ | - Application of sewage sludge: Replacement of extrapolated activity data in 2022 with data from the Federal Statistical Office and corrections of activity data for years after 2006. | ||
+ | - Anaerobic digestion: Update of activity data as of 2013 concerning gastight storage data. This applies to both digested energy crops and digested animal manure. | ||
+ | - Imported manure: The amounts of imported manure from the Netherlands have been updated for years after 2017. | ||
+ | - Compost and digested waste: input data for 2022 has been updated. | ||
+ | - Distribution data 1990 – 1999: RAUMIS distribution data is only available for the years 1991, 1995 and 1999. The data for the intervening years (1992 – 1994 and 1996 – 1998 have now been generated by using linear interpolation (1990 = 1991). | ||
- | 1) The results used from the 2020 agricultural census (LZ 2020) on the proportions of husbandry, storage or application methods and grazing were assumed to be true for the year 2019 and not for the year 2020 as in Submission 2022. This changes the data obtained by interpolation for the different proportions slightly, in some cases as far back as the year 2000. | ||
- | 2) Deep bedding systems: As of the submission at hand, it is assumed that the NH< | ||
- | 3) Dairy cows: Milk yield and slaughter weights for 2020 have been slightly corrected in the official statistics. | + | ===== Visual overview ===== |
- | 4) Heifers: 2020 slaughter weights have been slightly corrected | + | __Emission trends for main pollutants |
+ | {{ : | ||
+ | {{ : | ||
- | 5) Male beef cattle: In some years, slaughter ages and slaughter weights have been updated in the HIT database. | + | __Contribution |
- | + | {{ :sector:mainpollutants_sharesnfrs_incl_transport_2025.png? | |
- | 6) Pigs: Air scrubbing techniques: From the 2020 agricultural census, for the first time official data on the number | + | |
- | but reduced removal efficiency for NH< | + | |
- | + | ||
- | 7) Sows: For Lower Saxony, the number of piglets per sow and year was corrected (reduced) for the years 2015-2020. | + | |
- | + | ||
- | 8) Fattening pigs: The results of the additional survey " | + | |
- | + | ||
- | 9) Broilers: Update of the national gross production of broiler meat in 2020. | + | |
- | + | ||
- | 10) Laying hens: Introduction of grazing emissions for laying hens, since the proportion of excrements from free-range laying hens on the pasture can now be estimated (Rösemann et al. 2023, Chapter 2.5). Based on the results of the LZ2020, a new NH< | + | |
- | + | ||
- | 11) Laying hens: Improved interpolation of start weights and final weights for the whole time series. | + | |
- | + | ||
- | 12) TSP, PM< | + | |
- | + | ||
- | 13) Application of sewage sludge to soils: Replacement of extrapolated activity data in 2020 with data from the Federal Statistical Office. | + | |
- | + | ||
- | 14) Other organic fertilizers. As of the submission at hand, application emissions from digested waste, compost from biowaste, and compost from green waste are reported in the agriculture sector (3.D.a.2.c) for the first time. These emissions were included implicitly in the waste sector before. | + | |
- | + | ||
- | 15) Anaerobic digestion of energy crops: Update of activity data in 2020. | + | |
- | + | ||
- | 16) Pesticides: Recalculations were made for the complete time series due to the changes and new information given by the BVL for the amount of domestic sales of the active substances atrazine, simazine, propazine and quintozine. | + | |
- | + | ||
- | + | ||
- | + | ||
- | ===== Visual overview ===== | + | |
- | __Chart showing emission trends for main pollutants in //NFR 3 - Agriculture//: | + | |
- | [{{:sector:iir_nfr3.png?nolink&direct& | + | |
- | [{{: | + | |
- | __Contribution | + | |
- | [{{: | + | |
===== Specific QA/QC procedures for the agriculture sector===== | ===== Specific QA/QC procedures for the agriculture sector===== | ||
- | Numerous input data were checked for errors resulting from erroneous transfer between data sources and the tabular database used for emission calculations. | + | Numerous input data were checked for errors resulting from erroneous transfer between data sources and the tabular database used for emission calculations. The German IEFs and other data used for the emission calculations were compared with EMEP default values and data of other countries (see Vos et al., 2024). Changes of data and methodologies are documented in detail (see Vos et al. 2024, Chapter |
- | The German IEFs and other data used for the emission calculations were compared with EMEP default values and data of other countries (see Vos et al., 2022). | + | |
- | Changes of data and methodologies are documented in detail (see Vos et al. 2022, Chapter 3.5.2). | + | |
- | A comprehensive review of the emission calculations was carried out by comparisons with the results of Submission | + | A comprehensive review of the emission calculations was carried out by comparisons with the results of Submission |
- | Once emission calculations with the German inventory model Py-GAS-EM are completed for a specific submission, activity data (AD) and implied emission factors (IEFs) are transferred to the CSE database (Central System of Emissions) to be used to calculate the respective emissions within the CSE. These CSE emission results are then cross-checked with the emission results obtained by Py-GAS-EM. | + | Once emission calculations with the German inventory model Py-GAS-EM are completed for a specific submission, activity data (AD) and implied emission factors (IEFs) are transferred to the CSE database (Central System of Emissions) to be used to calculate the respective emissions within the CSE. These CSE emission results are then cross-checked with the emission results obtained by Py-GAS-EM. |
- | Model data have been verified | + | Furthermore, |
- | Furthermore, |