downscaling_of_livestock_numbers
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downscaling_of_livestock_numbers [2020/03/28 09:32] – created matsz | downscaling_of_livestock_numbers [2022/11/07 10:23] (current) – external edit 127.0.0.1 | ||
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=====Downscaling of Livestock numbers===== | =====Downscaling of Livestock numbers===== | ||
+ | Files: \\ | ||
+ | %curdir%/ | ||
+ | %datdir%/ | ||
+ | %datdir%/ | ||
+ | %datdir%/ | ||
+ | %datdir%/ | ||
+ | %datdir%/ | ||
+ | | ||
+ | A different approach is used for the distribution of FSS livestock numbers and for the distribution of CAPRI regional data. This is because livestock require some investment/ | ||
+ | |||
+ | For livestock there will also apply the principle of the ‘Primacy of stability’ already described for the distribution of crop areas. | ||
+ | |||
+ | Animal types are distributed proportionally to their shares in different animal classes: | ||
+ | * Grazing cattle | ||
+ | * Grazing sheep and goats | ||
+ | * Non-grazing ruminants (cattle, sheep and goats) | ||
+ | * Non-grazing monogastric animals (pig and poultry) | ||
+ | |||
+ | ====Distribution of FSS livestock numbers==== | ||
+ | |||
+ | We use shares of grazing animals from the national submissions of greenhouse gas inventories to the UNFCCC. These shares are calculated from the quantity of manure N managed in various manure management systems, and the quantity of manure N deposited on ‘pasture, range and paddock’ (Table 3.B(b) of the UNFCCC-Common Reporting Format, CRF, tables). | ||
+ | |||
+ | The distribution of grazing livestock from the FSS grid cells to the FSU is done using areas of various Corine classes as a proxy. This is because grazing can occur also on non-grassland, | ||
+ | |||
+ | Based on expert information obtained from the EEA (Jan-Erik Petersen, personal communication), | ||
+ | |||
+ | # Corine classes to be used to calculate grazing shares and areas | ||
+ | # | ||
+ | # Source: EEA (Jan-Erik Petersen) in email from 19/ | ||
+ | # See kipinca-CLC classes + grazing_draft_+JRC questions_rev 23-07-19.docx | ||
+ | # Animal types distinguished: | ||
+ | parameter p_CorineShares(*, | ||
+ | table p_CorineShares | ||
+ | | ||
+ | all.211 | ||
+ | all.223 | ||
+ | all.231 | ||
+ | all.242 | ||
+ | all.243 | ||
+ | all.244 | ||
+ | all.321 | ||
+ | all.322 | ||
+ | all.323 | ||
+ | all.324 | ||
+ | all.333 | ||
+ | all.411 | ||
+ | all.412 | ||
+ | all.421 | ||
+ | ; | ||
+ | |||
+ | For classes 322 (' | ||
+ | |||
+ | We assume that for grazing animals, the density of \(v_{lgr}\) [LU ha< | ||
+ | |||
+ | \begin{equation} | ||
+ | ν_{lgr,h}= N_{l,r} \cdot χ_{graz, | ||
+ | \end{equation} | ||
+ | |||
+ | \begin{equation} | ||
+ | n_{lgr,h}= ν_{lgr,h} \cdot a_{lcl, | ||
+ | \end{equation} | ||
+ | |||
+ | \(ν_{lgr, | ||
+ | \(N_{l, | ||
+ | \(n_{lgr, | ||
+ | \(χ_{graz, | ||
+ | \(A_{lcl, | ||
+ | |||
+ | ====Distribution of CAPRI livestock numbers==== | ||
+ | |||
+ | If livestock numbers change at the regional level if compared to the prior data, we assume that this has no influence on the spatial distribution of the animals. Instead, the livestock number in each spatial unit is multiplied with the regional relative change. | ||
+ | |||
+ | \begin{equation} | ||
+ | n_{l,h}= \hat{n}_{lgr, | ||
+ | \end{equation} | ||
+ | |||
+ | \(n_{l, | ||
+ | \(\hat{n}_{l, | ||
+ | \(N_{l, | ||
+ | \(\hat{N}_{lhr}\) Number of livestock [parameter, LU] of animal type //l// in spatial unit //h// in the prior data set \\ | ||
downscaling_of_livestock_numbers.txt · Last modified: 2022/11/07 10:23 by 127.0.0.1