Quantifying crop vulnerability to weather-related extreme events and climate change through vulnerability curves

Beatrice Monteleone (), Iolanda Borzí (), Brunella Bonaccorso () and Mario Martina ()
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Beatrice Monteleone: University School for Advanced Studies of Pavia
Iolanda Borzí: University of Messina
Brunella Bonaccorso: University of Messina
Mario Martina: University School for Advanced Studies of Pavia

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2023, vol. 116, issue 3, No 1, 2796 pages

Abstract: Abstract Weather extremes have been responsible for widespread economic damage at global scale in the last decades. Agriculture alone absorbed 26% of the overall impact caused by natural hazards in low- and middle-income countries and even in high-income countries yield losses due to extreme weather are relevant. Vulnerability curves are traditionally used to quickly estimate the damage due to extreme events. This study maps the articles published from January 2000 to May 2022 implementing crop vulnerability curves to weather-related extreme events and climate change. Fifty-two articles have been identified through the use of Scopus, Web of Science, Google Scholar and the references of the selected papers. The selected papers have been analysed to determine for which extreme events vulnerability curves have been proposed, which crops have been studied, which explanatory variables have been used to create the curves, which functions are used to develop vulnerability curves and the number of parameters on which the proposed functions rely. Comparisons among the vulnerability curves for the various extremes are proposed, as well as indications of the main drawback of the developed vulnerability curves. Finally, areas where further research is needed are proposed together with recommendations on which elements should be included in vulnerability curve development.

Keywords: Vulnerability curves; Weather-related extreme events; Crops; Climate change (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (2)

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DOI: 10.1007/s11069-022-05791-0

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