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Extreme weather events cause significant crop yield losses at the farm level in German agriculture

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  • Schmitt, Jonas
  • Offermann, Frank
  • Söder, Mareike
  • Frühauf, Cathleen
  • Finger, Robert

Abstract

Extreme weather events frequently cause severe crop yield losses, affecting food security and farmers’ incomes. In this paper, we aim to provide a holistic assessment of these impacts across various extreme weather events and multiple crops. More specifically, we estimate and compare the impact of frost, heat, drought and waterlogging on yields of winter wheat, winter barley, winter rapeseed and grain maize production in Germany. We analyse 423,815 farm-level yield observations between 1995 and 2019, and account for extreme weather conditions within critical phenological phases. Furthermore, we monetarize historical yield losses due to extreme weather events on a spatially disaggregated level. We find that drought is a main driver for farm-level grain yield and monetary losses in German agriculture. For instance, a single drought day can reduce winter wheat yields by up to 0.36%. It is estimated that during the period 1995–2019, summer drought led to yield losses in winter wheat, which, on average, caused annual revenues to sink by over 23 million Euro across Germany. We find that the impacts of extreme weather events vary considerably across space and time. For example, only the most important winter rapeseed production region in the North of Germany was prone to winter rapeseed yield losses due to heat during flowering. Moreover, waterlogging and frost are generally less relevant from an economic point of view, but can nevertheless cause crop- and regional-specific damage. Our analysis provides stakeholders with information for weather-related risk management and adaptation strategies.

Suggested Citation

  • Schmitt, Jonas & Offermann, Frank & Söder, Mareike & Frühauf, Cathleen & Finger, Robert, 2022. "Extreme weather events cause significant crop yield losses at the farm level in German agriculture," Food Policy, Elsevier, vol. 112(C).
  • Handle: RePEc:eee:jfpoli:v:112:y:2022:i:c:s0306919222001282
    DOI: 10.1016/j.foodpol.2022.102359
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    2. Sigl, Lukas & Hirschauer, Norbert, 2024. "The hedging efficiency of wheat futures in various types of farms in Germany," SocArXiv pvq9t, Center for Open Science.
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    5. Xingming Yuan & Bing Guo, 2022. "Dynamic Monitoring of the Ecological Vulnerability for Multi-Type Ecological Functional Areas during 2000–2018," Sustainability, MDPI, vol. 14(23), pages 1-24, November.
    6. Hongjun Lei & Jie Yu & Hongwei Pan & Jie Li & Shah Jahan Leghari & Chongju Shang & Zheyuan Xiao & Cuicui Jin & Lili Shi, 2023. "A New Agricultural Drought Disaster Risk Assessment Framework: Coupled a Copula Function to Select Return Periods and the Jensen Model to Calculate Yield Loss," Sustainability, MDPI, vol. 15(4), pages 1-16, February.
    7. Robert Finger, 2023. "Digital innovations for sustainable and resilient agricultural systems," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 50(4), pages 1277-1309.
    8. Wittwer, Raphaël A. & Klaus, Valentin H. & Miranda Oliveira, Emily & Sun, Qing & Liu, Yujie & Gilgen, Anna K. & Buchmann, Nina & van der Heijden, Marcel G.A., 2023. "Limited capability of organic farming and conservation tillage to enhance agroecosystem resilience to severe drought," Agricultural Systems, Elsevier, vol. 211(C).
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    11. Nordmeyer, Eike Florenz, 2023. "German farmers' perceived usefulness of satellite-based index insurance - Insights from a transtheoretical model," 97th Annual Conference, March 27-29, 2023, Warwick University, Coventry, UK 334557, Agricultural Economics Society - AES.

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