Articles | Volume 25, issue 4
https://doi.org/10.5194/nhess-25-1387-2025
https://doi.org/10.5194/nhess-25-1387-2025
Research article
 | 
10 Apr 2025
Research article |  | 10 Apr 2025

A data-driven framework for assessing climatic impact drivers in the context of food security

Marcos Roberto Benso, Roberto Fray Silva, Gabriela Chiquito Gesualdo, Antonio Mauro Saraiva, Alexandre Cláudio Botazzo Delbem, Patricia Angélica Alves Marques, José Antonio Marengo, and Eduardo Mario Mendiondo

Viewed

Total article views: 2,534 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,879 559 96 2,534 211 72 88
  • HTML: 1,879
  • PDF: 559
  • XML: 96
  • Total: 2,534
  • Supplement: 211
  • BibTeX: 72
  • EndNote: 88
Views and downloads (calculated since 21 Feb 2024)
Cumulative views and downloads (calculated since 21 Feb 2024)

Viewed (geographical distribution)

Total article views: 2,534 (including HTML, PDF, and XML) Thereof 2,503 with geography defined and 31 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 04 Apr 2026
Download
Short summary
This study applies climate extreme indices to assess climate risks to food security. Using an explainable machine learning analysis, key climate indices affecting maize and soybean yields in Brazil were identified. Results reveal the temporal sensitivity of these indices and critical yield loss thresholds, informing policy and adaptation strategies.
Share
Altmetrics
Final-revised paper
Preprint