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Livestock management at northern latitudes. Potential economic effects of climate change in sheep farming

Author

Listed:
  • Anne Borge Johannesen
  • Anders Skonhoft

    (Department of Economics, Norwegian University of Science and Technology)

  • Anders Nielsen

    (Centre for Ecological and Evolutionary Synthesis (CEES), Department of Biology, University of Oslo)

Abstract

We study the economy and ecology of sheep farming under future climate change scenarios. The analysis is at the farm level and includes two different categories of the animals, ewes (adult females) and lambs with a crucial distinction between the outdoors grazing season and the winter indoors season. The model is formulated in a Nordic economic and biological setting. During the outdoors grazing season, animals may experience growth constraints as a result of limited grazing resources. The available grazing resources are determined by animal density (stocking rate) and weather conditions potentially affecting the weight, and hence, the value of lambs. Because empirical evidence suggests that climate changes, e.g., increased temperature, have contrasting effects on lamb weights depending on the location of the farm, the spatial effects of such changes are analyzed.

Suggested Citation

  • Anne Borge Johannesen & Anders Skonhoft & Anders Nielsen, 2013. "Livestock management at northern latitudes. Potential economic effects of climate change in sheep farming," Working Paper Series 14213, Department of Economics, Norwegian University of Science and Technology.
    • Handle: RePEc:nst:samfok:14213
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    File URL: http://www.svt.ntnu.no/iso/WP/2013/04_sheepuncertaintyABJ_AS.pdf
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    Cited by:

    1. Xiaoman Liu & Jingying Fu & Dong Jiang & Jianwu Luo & Chenxi Sun & Huiming Liu & Ruihong Wen & Xuefeng Wang, 2018. "Improvement of Ecological Footprint Model in National Nature Reserve Based on Net Primary Production (NPP)," Sustainability, MDPI, vol. 11(1), pages 1-16, December.

    More about this item

    Keywords

    sheep farming; weather conditions; climate change; vegetation growth; stage model;
    All these keywords.

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