mapping stocking rates in scotland: integrating jac and iacs data
DESCRIPTION
Mapping Stocking Rates in Scotland: Integrating JAC and IACS data. Keith Matthews, Dave Miller, James Sample and Sarah Dunn. Agricultural Statistics User Conference, July 2013, Edinburgh. Outline. Datasets Calculations Complications Outputs Applications Future CAP Activity M easures - PowerPoint PPT PresentationTRANSCRIPT
Mapping Stocking Rates in Scotland: Integrating JAC and IACS data
Keith Matthews, Dave Miller, James Sample and Sarah Dunn
Agricultural Statistics User Conference, July 2013, Edinburgh
OutlineDatasets
Calculations
Complications
Outputs
Applications Future CAP Activity Measures
Designated Sites
Water Quality
Woodland Expansion
Datasets IACS
SG-RPID dataset derived from SAF forms - claims
>5M ha coverage in 2009, increasing
Linked to field mapping (GIS)
Land use, ownership, rentals etc.
JAC Livestock numbers (and several other items for related projects)
Other datasets Common Grazings – beyond those in IACS
National Forest Inventory (decadal)
Linkage – holding numbers, FID-Holding-BRN
IACS+ Examples
SR CalculationForage area – land use classification (IACS crop codes)
Livestock numbers – simplified classes – cattle, sheep and deer
Conversion to livestock units (LSU) – weightings Cow-calf = 1.0
Ewe-lamb = 0.12
Deer = 0.3
Simplification – JAC will support much more detailed calculations – see SAC Farm Management Handbook
SR = LSU/Forage Area
Complications & CompromisesIACS + JAC
JAC (LU and Stock)+ IACS
Crofters + JAC – shares, apportionments and in-bye
JAC + JAC - not mapped – some limits on rentals data, type not specified.
Rental IssuesRentals only accounted for in seasonal SAF sheets
Business not holding
But - mismatch ~150,000 ha - rental-in by non IACS – no matching record for the rental-out
Rental-in only specified as business not holding (issue when multi-holding business – which livestock to associate)
In raw IACS data some coding issues, e.g. claims for all area even though renting records exist. Rules based clean up, limiting to GIS areas, rental-in prioritised as most reliable.
Limitations Business level
Single date
Averages over all grazing land – mixed businesses particularly challenging – e.g. SW dairy and Highland sheep in separate holdings
Other factors may mitigate or exacerbate any consequences of stocking – e.g. availability of housing
OutputsNational SR map
Regional or sectoral breakdowns
Relationships with other variables
Future CAP: Activity Requirements Example of an SR base activity requirement
SR value was 0.12 lsu/ha
Used scale-back from Pack Inquiry not the guillotine of the agreed regulation
Significant effects
Designated AreasDiscussion of activity measures for Pillar 1 CAP and Areas of
Natural Constraint in Pillar 2
Range of SRs for combinations of designations
Unmapped area significant
Water Quality: Nitrates Directive Review• SR estimates spatial distribution of manure
production• IACS data used to infer application rates of
inorganic fertilisers• Used as inputs to a spatially distributed nitrate
leaching model (NIRAMS II)• Map surface and groundwater monitoring as
one strand of evidence in the 2013 Nitrates Directive review
Woodland Expansion Advisory Group10,000 ha per annum afforestation aspiration
Consequences for livestock numbers
Regional and land capability break-downof SR areas
ConclusionsFeasible – useful despite some limits
Improvements – a move to holding basis would eliminate cross-holding averages – rentals issues can be solved
New cattle movement datasets from CTS now underpin JAC so more sophistication possible here
Move beyond SR – lifecycle of livestock within EPIC exposure to environments and linkage to disease
Future CAP activity criteria – if SR based, then a far more rigorous set of calculations will be needed
ContactsDr Keith Matthews
The James Hutton InstituteCraigiebuckler, AberdeenEmail: [email protected]: http://www.hutton.ac.uk/staff/keith-matthews
Dr James SampleEmail: [email protected]: http://www.hutton.ac.uk/staff/james-sample