riksdesurvey module 1.2 module 1.2 socio economic drivers annual meeting 2006 inea istituto...
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RIKS DeSurvey Module 1.2
Module 1.2Socio economic drivers
Annual meeting 2006
INEA Istituto Nazionale di Economia AgrariaUC3M Universidad Carlos III de MadridRIKS Research Institute for Knowledge Systems
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Objectives of Module 1.2
Socio-economic drivers of desertification; Development of a land use model:
Estimate socio-economic trends and associated land claims;
Dynamic processes: changes in demography, sectoral economic activity, employment levels, land uses (time dependant forecasts ≈ 30 yrs);
Spatially explicit analysis/representation; At different embedded spatial entities: EU,
National (country), Regional (NUTS2/NUTS3), Local (grid based entities ≤ 1km2);
Represent the interlinked processes at the different spatial entities.
RIKS DeSurvey Module 1.2 3
Model structure: integrating 3 sub models
Regional and national trends inEmployment, population and
agricultural utilized area
Delineation of agricultural land
‘Geographical’Feedbacks
Constraints Pressures
Externalities
Cellular Automata Land use model WP
2.3
Agricultural land use
WP 2.2
Economic growth model
WP 2.1
Database development
Model development
Database development
Model development
Model development
integration
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CA Loop CA Loop WP 1.2.3WP 1.2.3
Model structure: economic trends to land use
Regional and national trends
modelled by WP 1.2.1
Land use at time T
Suitability &
Zoning&
Accessibility
&
& CA RulesLand use at time T+1
This is a pivoting variable in linking the Bio-physical and
the Socio-economic aspects of the problem at stake
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Model structure: specification of agricultural land
Socio-economic land uses
Provided by WP 1.2.3
Specification of Agriculture:
WP 1.2.2
Fully specified land use??Specification of
natural land
Scope for further integration
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Database development
Sources: Farm Accountancy Data Network International databases: EuroStat, OECD National databases: Spain, Italy , Portugal
Now available: Macro-population trends and related
agricultural labour data, including:
•Work units (paid & unpaid)
•Utilized area
•National labour accounts Land productivity 1980-2002 by year, region,
farm type, and farm size
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Model development: Economic growth
Economy develops towards equilibrium state
Based on established and robust MOISEES model Extended to include tourism sector Extended to include construction sector Reduced on the basis of relevance
Flexible region definitions: National, NUTS 2/3, Aggregates
Introduces EU / national level policy variables in the Integrated Assessment Model
Tax system, CAP, etc.
Output to Cellular Automata model Agricultural Utilized Area per region Employment in main economic sectors Consistent scenario on population development
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Model development: Agricultural land use
Multinomial model of farm level decisions Dynamic model based on time series of FADN data Integrate two types of input:
Demographic & organizational: prices, subsidies etc. Site characteristics: topography, soil, climate etc.
Output is farm practice: Type of production? (crop/cattle) Management practices?
Estimated at farm level but transposed to be applied at as 1 km cell based model
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Model development: Cellular Automata
The main factor determining locations of land use change is the neighbourhood of all location
The neighbourhood now extends to the whole map, integrating spatial interactions over different scales
The density of activities is determined by the value of a location
Allocation of activity (people, jobs) instead of land use (area)
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Preliminary results, population Portugal
DATA 1990 DATA 2000 Model 2000
Error null
model
Error model
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Theoretical background in deliverables
Andea Fais & Iraj Namdarian: Literature review of impact of socio-
economic factors on land use dynamics
Ricardo Mora & Carlo San Juan Literature review on agricultural economic
and demographic factors influencing land use dynamics