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A Model Based Method to Assess Climate Change Impacts on Rain-Fed Farming Systems: How to Analyze Crop-Yield Variability?

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Knowledge Systems of Societies for Adaptation and Mitigation of Impacts of Climate Change

Part of the book series: Environmental Science and Engineering ((ENVSCIENCE))

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Abstract

Since the introduction of the Millennium Development Goals (MDG) during the United Nations Millennium Summit in 2000, large efforts have been made to eradicate extreme poverty and half the number of starving people within the time span from 1990 to 2015 (to no more than 420 million).

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Authors and Affiliations

  1. Center for Environmental Systems Research—CESR, Kassel University, 34109, Kassel, Germany

    Benjamin Stuch, Rüdiger Schaldach & Jan Schüngel

Authors
  1. Benjamin Stuch
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  2. Rüdiger Schaldach
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  3. Jan Schüngel
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Corresponding author

Correspondence to Benjamin Stuch .

Editor information

Editors and Affiliations

  1. , Centre for Ecological Economics and, Institute for Social and Economic Change, Dr. VKRV Rao Road, Bangalore, 560072, India

    Sunil Nautiyal

  2. , Department of Botany, University of Delhi, University Road, Delhi, 110007, India

    K.S. Rao

  3. Landscape Research, Institute of Socioeconomics, Leibniz Centre for Agricultural, Eberswalder Str 84, Müncheberg, 15374, Germany

    Harald Kaechele

  4. , Centre for Ecological Economics and Natu, Institute for Social and Economic Change, Dr. VKRV Rao Road, Nagarabhavi, Bangalore, 560072, India

    K.V. Raju

  5. , Centre for Environmental System Research, University of Kassel, Wilhelmshöher Allee 47, Kassel, 34119, Germany

    Ruediger Schaldach

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Stuch, B., Schaldach, R., Schüngel, J. (2013). A Model Based Method to Assess Climate Change Impacts on Rain-Fed Farming Systems: How to Analyze Crop-Yield Variability?. In: Nautiyal, S., Rao, K., Kaechele, H., Raju, K., Schaldach, R. (eds) Knowledge Systems of Societies for Adaptation and Mitigation of Impacts of Climate Change. Environmental Science and Engineering(). Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36143-2_29

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