Oristano

OristanoGeneral information

Name of region Oristano, Sardinia, Italy
Global Environmental Zone(s) (Metzger) K. Warm temperate and mesic/L. Warm temperate and xeric
Population density (persons per km2)  
Contact (general) Gabriele Dono
Contact (ag. scenarios) Pier Paolo Roggero
Location (NUTS code) ITG28
Dominant regional farming system(s)
(SEAMLESS nomenclature)
Sheep and goats farms
The three most important
farming systems in region

(SEAMLESS nomenclature)
  • arable-cereal
  • arable-specialised crops
  • dairy cattle-temporary grass
  • sheep&goats-others
Main crop species  
Main livestock species  

Regional development goal in rural spatial planning

Specific issues the region deals with/will deal with

Dairy farming in an intensive cropping systems:

  • Nitrate Vulnerable Zone, 30,000 cattle in 5,500 ha
  • High dependence on extra-farm and costly inputs (feeds, fertilizers...)
  • nitrate pollution of groundwater
  • phosphorus pollution of surface water

Regional challenges with regard to climate change

Near future downscaled RAMS climatic scenarios revealed:

  • Increasing maximum temperature paprticularly in summer, resulting in increased irrigation water requirements
  • enhancing precipitation variability in spring, reduction in spring rainfall, resulting in increased irrigation water requirements for hay-crops (or reduced hay production under rainfed conditions)
  • drop in milk production, cow's fertility and increased animal mortality related to forecasted increased temperature-humidity index
  • farm management in conditions of increased climatic and market uncertainty
  • serious drops in farmers' income

Proposed solutions to overcome the challenges

Contribution to answering the focus question

The dairy system is a strategic agro-business all over Europe which is facing a variety of challenges, among which climate change uncertainties.We propose that the Italian pilots on dairy farming is networked through MACSUR with other similar regional pilots to develop a Pan European pilot to address climate change adaptation strategies.

Important adaptation measures that are or will be considered in the study

Water management is important to this region AND is/will be included in the modelling exercise.
Irrigation is important to this region AND is/will be included in the modelling exercise.
Drainage  
Species/varietal choice is important to this region.
Plant breeding  
Changed planting/sowing days  
Crop rotations is important to this region.
Alternative tillage methods  
Pest/weed management  
Housing of livestock  
Land consolidation  
Management of feeding and reproduction of livestock  
Structure and scale of production adjustment  
Crop insurance  
Exit from agriculture  
Climate alertness  
Political regulations at various administrative levels is important to this region.
Others  
  Increased local production of forage and feeds; Reduction of the cattle stocking rate in the district, also by relocating part of the livestock in a neighboring areas to reduce costs (to be assessed through the DSP model)GHG emissions both from animals and fertilizersWater pollution

Models, stakeholders, advancement of knowledge

Models used in the study
Socio-economyCropsGrasslandLivestock
A4SMOD: Discrete Stochastic Programming Model (territorial and representative farms)Farm Budget analysisInput (available from P62 UNISS, UNIMI, CRA, FADN, ISTAT)Farm structures: FADN, 2010 Agricultural Census Land Use: FADN, 2010 Agricultural Census, Corinne Land CoverUse of inputs and yields: UNISS, UNIMI, CRA EPIC v. 0810DSSAT v4.5Input (already available from UNISS for the Sardinian site, from UNIMI for the Po Valley site): climate: daily Tmax Tmin rainfallsoil (by horizon): texture (%gravel sand silt clay) %C, bulk densitycropping system practicescrops (silage maize) dataset useful for calibration partly available EPIC v 0810 (see above)Input (already available from UNISS for the Sardinian site, from UNIMI for the Po Valley site): climate: daily Tmax Tmin rainfallsoil (by horizon): texture (%gravel sand silt clay) %C, bulk densitycropping system practicescrops (Italian ryegrass, alfalfa) dataset useful for calibration partly available The basic input will be the THI: Daily Tmax Tmin (measured) RHmax RHmin (estimated) are available for both sitesObserved data (1958-2012), downscaled RAMS scenarios for current climate (2000-10) and near future (2020-30) are already available from CMR IBIMET (M Pasqui) The model is based on the calculation of a 2-phase linear regression procedure (Nickerson et al., 1989), which detects an inflection point, if one exists, in the relationship between the independent (temperature humidity index THI) and dependent variable (milk yield, milk quality, mortality, etc.).
How are results of of crop and livestock models assimilated in socio-economic models?How is technological progress in arable agriculture taken into account?How is technological progress in livestock farming taken into account?
     

Participating stakeholders

Agro-business or agro-food chainAdministrative bodies or regional or national governments

Agro-business:local farmers' cooperative (some 200 cattle farms including almost all 30,000 cows, organized also as a suppliers of feeds and agro-inputs), www.produttoriarborea.it

 

Milk cooperative 3A, Arborea (OR, Italy) http://www.lattearborea.eu

Consorzi di bonifica e Irrigazione (Water Users Associations):Consorzio di bonifica dell'Oristanese, www.bonificaoristanese.it

Decision makers: national policy makers Ministero delle Politiche Agricole, Agroalimentari e Forestali www.politicheagricole.it

regional (Sardinia) policy makers, www.regione.sardegna.it/agricoltura

regional agency for extension service:Laore Sardegna http://www.sardegnaagricoltura.it/assistenzatecnica/laore/

Oristano Livestock Farmers' association

Associazione Regionale Allevatori Sardegna http://www.ara.sardegna.it/

Farmers' unions:Confagricoltura Sardegna www.confagricoltura.sardegna.it/

Coldiretti Sardegna, twww.sardegna.coldiretti.it

Confederazione Italiana Agricoltori Sardegna - This email address is being protected from spambots. You need JavaScript enabled to view it.

Copagri Sardegna - http://www.copagri.it/webapp/ChiSiamo.aspx

Approaches for involving stakeholders
 

Improvement of the modelling capability by involving stakeholders

How did the modelling capability improve by involving stakeholders?Effect of the involvement of stakeholders on the questions asked, on the assessment, or on the solutions suggested
   
Points that researchers learned from stakeholdersPoints that stakeholders learned from researchers
   

Further information

Collaborators of the Italian team:

NRD UNISS - Roggero P.P., Deligios P., Doro L., Ledda L., Mula L., Seddaiu G. http://nrd.uniss.it

UNITUS - Dono G, Cortignani R, Giraldo L., Mazzapicchio G

CNR IBIMET - Pasqui M, Tomozeiu R

References

Nguyen, P.L., Seddaiu, G., Roggero, P.P., 2013. Hybrid knowledge for understanding complex agri-environmental issues: a case study on nitrate pollution in Italy. International Journal of Agricultural Sustainability, 1-19. DOI: 10.1080/14735903.2013.825995.

Allan, C., Nguyen, P.L., Seddaiu, G., Wilson, B., Roggero, P.P., 2013. Integrating local knowledge with experimental research: case studies on managing cropping systems in Italy and Australia. Italian Journal of Agronomy, 8(e15), 108-116.

Lai, R., Seddaiu, G., Gennaro, L., Roggero, P.P., 2012. Effects of N fertilizer sources and temperature on soil CO2 efflux in Italian ryegrass crop under Mediterranean conditions. Italian Journal of Agronomy, 7, 196-201.

Dono G, Cortignani R, Doro L, Giraldo L, Ledda L, Pasqui M, Roggero PP, An Integrated Assessment of the Impacts of Changing Climate Variability on Agricultural Productivity and Profitability in an Irrigated Mediterranean Catchment, WATER RESOURCES MANAGEMENT, DOI: 10.1007/s11269-013-0367-3

Dono G., Cortignani R., Deligios P., Doro L., Giraldo L., Ledda L., Mazzapicchio G., Pasqui M., Quaresima S., Roggero P.P., Economic Assessment of impact of uncertainty due to short-term changes in climate variability for in Mediterranean farming systems, Communication at the 2nd UNCCD Scientific Conference on Economic assessment of desertification, sustainable land management and resilience of arid, semi-arid and dry sub-humid areas 9 - 12 April 2013 - Bonn, Germany

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