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Determining Short Term Responses of Irish Dairy Farms under Climate Change

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  • Shrestha, Shailesh
  • Hennessy, Thia
  • Abdalla, Mohamed
  • Forristal, Dermot
  • Jones, Michael B.

Abstract

This study aimed to determine short term farm responses of Irish dairy farms under climate change. The Irish National Farm Survey data and Irish weather data were the main datasets used in this study. A set of simulation models were used to determine grass yields and field time under a baseline scenario and a future climate scenario. An optimising farm level model which maximises farm net income under limiting farm resources was then run under these scenarios. Changes in farm net incomes under the climate change scenario compared to the baseline scenario were taken as a measure to determine the effect of climate change on farms. Any changes in farm activities under the climate run compared to the baseline run were considered as farm’s responses to maximise farm profits. The results showed that there was a substantial increase in yields of grass (49% to 56%) in all regions. The impact of climate change on farms was different based on the regions. Dairy farms in the Border, Midlands and South East regions suffered whereas dairy farms in other regions generally fared better under the climate change scenario. For a majority of farms, a substitution of concentrate feed with grass based feeds and increasing stocking rate were identified as the most common farm responses. However, farms replaced concentrate feed at varying degree. Dairy farms in the Mid East showed a move towards beef production system where medium dairy farms in the South East regions shifted entire tillage land to grass land. Farms in the South East region also kept animals on grass longer under the climate change scenario compared to the baseline scenario. Die Studie quantifiziert kurzfristige Reaktionen irischer Milchviehbetriebe auf den Klimawandel. Ergebnisse des Irish National Farm Survey und irische Wetterdaten sind die wichtigsten Datensätze der Studie. Mehrere Simulationsmodelle werden verwendet, um Erträge und Vegetationsdauer von Grünland in einem Basisszenario und einem Klimaszenario in der Zukunft zu untersuchen. Ein Optimierungsmodell bestimmt das maximale Netto-Betriebseinkommen unter Einhaltung von Faktorbegrenzungen für diese Szenarien. Dessen Änderungen im Klimawandelszenario werden dem Basisszenario gegenübergestellt, um die Auswirkungen zu bestimmen. Die durch das Modell angezeigten Änderungen im Vergleich der Szenarien sind eine Folge der unterstellten Gewinnmaximierung. Die Ergebnisse zeigen in allen Regionen eine deutliche Erhöhung der Grünlanderträge (49% bis 56%). Die Auswirkungen des Klimawandels unterscheiden sich regional. Milchviehbetriebe an der Grenze, im Zentralraum und der Süd-Ost-Region erleiden im Klimawandelszenario Einbußen, während jene in anderen Regionen in der Regel besser abschneiden. In den überwiegenden Fällen reagieren die Betriebe, indem Kraftfutter durch Gras ersetzt wird und die Bestandsdichten erhöht werden. Kraftfutter wird in unterschiedlichem Ausmaß reduziert. Milchviehbetriebe in der Mitte-Ost-Region entwickeln sich in Richtung Rindfleischproduktion, hingegen erfolgt in den Süd-Ost-Regionen eine Umstellung von Acker in Grünland. In der Süd-Ost-Region wird die Dauer der Weidehaltung im Klimawandelszenario gegenüber dem Basisszenario ausgedehnt.

Suggested Citation

  • Shrestha, Shailesh & Hennessy, Thia & Abdalla, Mohamed & Forristal, Dermot & Jones, Michael B., 2014. "Determining Short Term Responses of Irish Dairy Farms under Climate Change," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 63(03), pages 1-13, September.
  • Handle: RePEc:ags:gjagec:253156
    DOI: 10.22004/ag.econ.253156
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    as
    1. Gibbons, James M. & Sparkes, Debbie L. & Wilson, Paul & Ramsden, Stephen J., 2005. "Modelling optimal strategies for decreasing nitrate loss with variation in weather - a farm-level approach," Agricultural Systems, Elsevier, vol. 83(2), pages 113-134, February.
    2. Nelson, Gerald C. & Rosegrant, Mark W. & Palazzo, Amanda & Gray, Ian & Ingersoll, Christina & Robertson, Richard & Tokgoz, Simla & Zhu, Tingju & Sulser, Timothy B. & Ringler, Claudia & Msangi, Siwa & , 2010. "Food security, farming, and climate change to 2050: Scenarios, results, policy options," Research reports Gerald C. Nelson, et al., International Food Policy Research Institute (IFPRI).
    3. Ramsden, S. & Gibbons, J. & Wilson, P., 1999. "Impacts of changing relative prices on farm level dairy production in the UK," Agricultural Systems, Elsevier, vol. 62(3), pages 201-215, December.
    4. Topp, Cairistiona F. E. & Doyle, Christopher J., 1996. "Simulating the impact of global warming on milk and forage production in Scotland: 1. The effects on dry-matter yield of grass and grass-white clover swards," Agricultural Systems, Elsevier, vol. 52(2-3), pages 213-242.
    5. Seo, S. Niggol & Mendelsohn, Robert, 2008. "An analysis of crop choice: Adapting to climate change in South American farms," Ecological Economics, Elsevier, vol. 67(1), pages 109-116, August.
    6. Thia Hennessy & Shailesh Shrestha & Laurence Shalloo & Michael Wallace, 2009. "The Inefficiencies of Regionalised Milk Quota Trade," Journal of Agricultural Economics, Wiley Blackwell, vol. 60(2), pages 334-347, June.
    7. Benjamin Wolf & Xunhua Zheng & Nicolas Brüggemann & Weiwei Chen & Michael Dannenmann & Xingguo Han & Mark A. Sutton & Honghui Wu & Zhisheng Yao & Klaus Butterbach-Bahl, 2010. "Grazing-induced reduction of natural nitrous oxide release from continental steppe," Nature, Nature, vol. 464(7290), pages 881-884, April.
    8. Thia Hennessy & Shailesh Shrestha & Stephen Hynes, 2006. "The Effect of Decoupling on Farming in Ireland: A Regional Analysis," Working Papers 0611, Rural Economy and Development Programme,Teagasc.
    9. Shrestha, Shailesh & Ciaian, Pavel & Himics, Mihay & Van Doorslaer, Benjamin, 2013. "Impacts of Climate Change on EU Agriculture," Review of Agricultural and Applied Economics (RAAE), Faculty of Economics and Management, Slovak Agricultural University in Nitra, vol. 16(2), pages 1-16, September.
    10. Heinz-Peter Witzke & Pavel Ciaian & Jacques Delince, 2014. "CAPRI long-term climate change scenario analysis: The AgMIP approach," JRC Research Reports JRC85872, Joint Research Centre.
    11. Topp, Cairistiona F. E. & Doyle, Christopher J., 1996. "Simulating the impact of global warming on milk and forage production in Scotland: 2. The effects on milk yields and grazing management of dairy herds," Agricultural Systems, Elsevier, vol. 52(2-3), pages 243-270.
    12. C. Rosenzweig & F. Tubiello, 1997. "Impacts of global climate change on Mediterranean agrigulture: Current methodologies and future directions," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 1(3), pages 219-232, September.
    13. Thornton, P.K. & van de Steeg, J. & Notenbaert, A. & Herrero, M., 2009. "The impacts of climate change on livestock and livestock systems in developing countries: A review of what we know and what we need to know," Agricultural Systems, Elsevier, vol. 101(3), pages 113-127, July.
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