elpen concepts & calculation structure

ElpenConcepts & Calculation Structure

e-mail: [email protected]://www.objectvision.nl

Technical System Developments:

Workshop this afternoon

Concepts

• Elpen Farm Systems (EFS)

• Farm System Groups (FSG)

• ‘Model Farm’ (MF)

• Reference Farm (RF)


Elpen Farm Systems (EFS)= The classification of FADN Farm Systems to 6 dims,

which are sets of coordinates:– ElpInputType: EIT := {low, medium, high, all }, #EIT = 4– ElpLanduseType: EUT := { offFarming, permGrass, grassland, arable, offFarmFodder, all

}, #EUT = 6– ElpLivestockType: ELT := {cattle, mixed, sheep, goats, all }, #ELT = 5– ElpProductionType: EPT := {dairy, mixed, meat, all }, #EPT = 4 – ElpStructuralType: EST := {small, medium, large, all }, #EST = 4 – ElpGeneraltype: EGT := {grazing, … }, #EGT = 8– for non-‘all’ systems only g=grazing is available.

=> EFS := { (i, u, l, p, s, g) EIT x EUT x ELT x EPT x EST x EGT | g=‘grazing’ i=u=l=p=‘all’}; #EFS=7+1920

Farm System Groups (FSG)

• Used to locate EFS (using FSS, Corine/Pelcom, and Elevation/LFA data)

=A disjunct set of collections of EFS elements ( = partial partition of EFS), grouped by Production-, Livestock, and Land use types (EPT, ELT, EUT)

• Labeled as {beefGrass, beefArable, dairyGrass, dairyArable, sheepGrass, mixedArable }

=> #FSG = 6


Model Farms (MF)

• Locates elements of EFS in time (Periods), space(Territories) and in the EU FarmType classification (EUFT)

• A model farm is a group of farms for which data is collected in the Elpen database (the set of Elpen variables) where #>15

• Each record in FADN db is a Model Farm

=> MF EFS x Periods x Territories x EUFT

#MF = 59.521


Reference Farms (RF)

• Actual farms that are related to a (set of) model farms (and therefore EFS).

• Additional information is collected and related to model farms.


Elpen Calculation Structure


Corine/Pelcomgrid

Fss

LandCover 2

grid

Fss Presentation 1

H2, H1, H0, ER

FadnMF

• General • LFA/ Elevation

LFA/Elevationgrid

Fss Desaggr 3

Grid, FSG

Fadn (al)location 5

Grid, FSG

Fadn Composition 8

Grid, summed by FGS

Nitrogen maps/critical load

Vulnerability & Environmental Impact

Indicators 9

Farm Costs 6

MF

Farm Behaviour 7

MF

Reference farms 12

->MF

EFS Presentation 4

H1, H0, ER

Socio Ecomic Indicators 11

Socio Economic Data 10

FSS Presentation

S1_FssForMap• Case Generator Parameters:

– FssVariable,

– EuFarmType,

– Period

• Example: – NoHoldings,

– ‘All Holdings’,

– 1997,

– Country


LandCover

S2_LandUse_5km & ..._1100m• Case Generator Parameters:

– % per corine class & Pelcom (the maximum of the two is taken),

Generation of new items Example:

with case generator - arable landuse


FSS Desaggr (for FSG’s)

S3_FssDesaggration _5km & ..._1100m• S3 combines results from S1 and S2.

• Case Generator Parameters:– GridDistribution (from S2)

– FssData (from S1)

• Preconfigured:– PermGrass: Beef, Dairy, Sheep

– Arable: Beef, Dairy, Mixed

• Example: – Arable/Beef


DairyFarmCostModelS6_FarmCosts• Case Generator Parameters: NrHoursPerAWU

• Calculated for all records in Fadn db (= all MF)


DairyFarmBehaviourModel

S7_FarmBehaviour (proposal)• Case Generator Parameters:

– ProductionCost variable

– Future Market Price

– Price-sensitivity or Elasticiy

• Calculates for all records in the Fadn db

(= all Model Farms) a production change

• Production Change = (market price - cost price) * price-sensitivity or elasticity

• Discussion on Economic model(s): this afternoon


EfsForMap

S4_EfsForMap• Case Generator Parameters:

– EFS

– EuFarmType, Period

– territoryDomain: Country, H1, ER

– Fadn related variable (also DairyFarmCost model results)

– denominator {none, nrFarms, LU, UAA, …}

• (NYI) Maps with No of EFS of MF per region with a pop-up per region with occuring systems and reference farms for additional info


Example: – all, – ‘spec-dairy’, 1997, – ER, – MilkProdCost, – Per100kg

EfsForDynaCube

S4_EfsForDC• Case Generator Parameters:

– Fadn related variable

(also DairyFarmCost results)

– (NYI) denominator

{none, nrFarms, LU, UAA }

• (NYI) Create Map from

specific MF selection

• Example: – MilkProdCost

(in kEur per 100kg)


FSG location

Parameters:– GridProxy (from S3_FssDesaggr)

– Fadn var { LU, #Farms, UAA}

– EFS

– EuFarmType, Period

– territory domain {H0, H1, ER}

• LFA & Elevation classes are used

• denominator = gridSize in ha

• Preconfigured:– PermGrass: Beef, Dairy, Sheep

– Arable: Beef, Dairy, Mixed


Example: – Arable/Beef– UAA– Arable/Beef– ‘spec-dairy’, 1997– H0

S5_Fadn_Allocation_5km, …_1100m

DairyFarmBehaviourModel

S8_FadnComposition_5km, …1100m (NYI)• Parameters:

– Fadn related variable (also DairyFarmCost model results)

– set of desaggregated FSG

– Period, Territory, EFS, EuFarmType

• Calculates a composition per grid cell based on the locatedFSG’s

• Allocation & Composition will be discussed at Friday morning.


Remaining Issues

• Nitrogen maps / critical load (Afternoon)

• S9: Vulnerability & Environmental Impact Indicators

• S10: Socio Economic Data (Friday)

• S11: Socio Economic indicators per region (Friday)

• S12: Reference Farms

• Quality assurance (see installation notes)

• Make some space on your harddisk before Lunch (approx. 800mb; at least 400mb will be used)


Discussion Points

• Socio Economic Indicators– Which (combination of) indicators?– From which data sources ?– Relation with other components (RF, MF)

• Environmental Indicators– Which (combination of) indicators?– From which data sources ?– Relation with other components (RF, MF)

elpen concepts & calculation structure

Documents

efs elements

farm costs

farms rfactual farms

set of model farms

mfreference farms

group of farms

farm system groups fsgused

partial partition of