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Farmer surveys in Europe suggest that specialized, intensive farms were more likely to perceive negative impacts from COVID-19.
Helfenstein, Julian; Bürgi, Matthias; Debonne, Niels; Dimopoulos, Thymios; Diogo, Vasco; Dramstad, Wenche; Edlinger, Anna; Garcia-Martin, Maria; Hernik, Józef; Kizos, Thanasis; Lausch, Angela; Levers, Christian; Mohr, Franziska; Moreno, Gerardo; Pazur, Robert; Siegrist, Michael; Swart, Rebecca; Thenail, Claudine; Verburg, Peter H; Williams, Tim G; Zarina, Anita; Herzog, Felix.
  • Helfenstein J; Agroecology and Environment, Agroscope, Zürich, Switzerland.
  • Bürgi M; Institute of Geography, University of Bern, Bern, Switzerland.
  • Debonne N; Land Change Science Research Unit, Swiss Federal Research Institute WSL, Birmensdorf, Switzerland.
  • Dimopoulos T; Environmental Geography Group, Institute for Environmental Studies (IVM), Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
  • Diogo V; Mediterranean Institute for Nature and Anthropos, MedINA, Athens, Greece.
  • Dramstad W; Land Change Science Research Unit, Swiss Federal Research Institute WSL, Birmensdorf, Switzerland.
  • Edlinger A; Norwegian Institute of Bioeconomy Research (NIBIO), Ås, Norway.
  • Garcia-Martin M; Agroecology and Environment, Agroscope, Zürich, Switzerland.
  • Hernik J; Land Change Science Research Unit, Swiss Federal Research Institute WSL, Birmensdorf, Switzerland.
  • Kizos T; Department of Land management and Landscape Architecture, University of Agriculture in Krakow, Krakow, Poland.
  • Lausch A; Department of Geography, University of the Aegean, Mytilene, Greece.
  • Levers C; Department Computational Landscape Ecology, Helmholtz Centre for Environmental Research-UFZ, Leipzig, Germany.
  • Mohr F; Geography Department, Humboldt University Berlin, Berlin, Germany.
  • Moreno G; Environmental Geography Group, Institute for Environmental Studies (IVM), Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
  • Pazur R; Institute of Geography, University of Bern, Bern, Switzerland.
  • Siegrist M; Land Change Science Research Unit, Swiss Federal Research Institute WSL, Birmensdorf, Switzerland.
  • Swart R; Forest Research Group, University of Extremadura, Plasencia, Spain.
  • Thenail C; Land Change Science Research Unit, Swiss Federal Research Institute WSL, Birmensdorf, Switzerland.
  • Verburg PH; Institute of Geography, Slovak Academy of Sciences, Bratislava, Slovakia.
  • Williams TG; Department of Health Sciences and Technology, ETH Zürich, Zürich, Switzerland.
  • Zarina A; Environmental Geography Group, Institute for Environmental Studies (IVM), Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
  • Herzog F; INRAe, 35042 Rennes, France.
Agron Sustain Dev ; 42(5): 84, 2022.
Article in English | MEDLINE | ID: covidwho-2048618
ABSTRACT
It has been shown that the COVID-19 pandemic affected some agricultural systems more than others, and even within geographic regions, not all farms were affected to the same extent. To build resilience of agricultural systems to future shocks, it is key to understand which farms were affected and why. In this study, we examined farmers' perceived robustness to COVID-19, a key resilience capacity. We conducted standardized farmer interviews (n = 257) in 15 case study areas across Europe, covering a large range of socio-ecological contexts and farm types. Interviews targeted perceived livelihood impacts of the COVID-19 pandemic on productivity, sales, price, labor availability, and supply chains in 2020, as well as farm(er) characteristics and farm management. Our study corroborates earlier evidence that most farms were not or only slightly affected by the first wave(s) of the pandemic in 2020, and that impacts varied widely by study region. However, a significant minority of farmers across Europe reported that the pandemic was "the worst crisis in a lifetime" (3%) or "the worst crisis in a decade" (7%). Statistical analysis showed that more specialized and intensive farms were more likely to have perceived negative impacts. From a societal perspective, this suggests that highly specialized, intensive farms face higher vulnerability to shocks that affect regional to global supply chains. Supporting farmers in the diversification of their production systems while decreasing dependence on service suppliers and supply chain actors may increase their robustness to future disruptions. Supplementary Information The online version contains supplementary material available at 10.1007/s13593-022-00820-5.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Observational study Language: English Journal: Agron Sustain Dev Year: 2022 Document Type: Article Affiliation country: S13593-022-00820-5

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Observational study Language: English Journal: Agron Sustain Dev Year: 2022 Document Type: Article Affiliation country: S13593-022-00820-5