A data-driven framework for assessing climatic impact drivers in the context of food security (2025)
- Authors:
- USP affiliated authors: SILVA, ROBERTO FRAY DA - ESALQ ; SARAIVA, ANTONIO MAURO - EP ; DELBEM, ALEXANDRE CLÁUDIO BOTAZZO - ICMC ; MARQUES, PATRICIA ANGÉLICA ALVES - ESALQ ; MENDIONDO, EDUARDO MARIO - EESC ; BENSO, MARCOS ROBERTO - EESC ; GESUALDO, GABRIELA CHIQUITO - EESC
- Unidades: ESALQ; EP; ICMC; EESC
- DOI: 10.5194/nhess-25-1387-2025
- Subjects: AVALIAÇÃO DE RISCO; FRAMEWORKS; IMPACTOS AMBIENTAIS; MUDANÇA CLIMÁTICA; SEGURANÇA ALIMENTAR
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Natural Hazards and Earth System Sciences
- ISSN: 1684-9981
- Volume/Número/Paginação/Ano: v. 25, p. 1387-1404, 2025
- Este periódico é de acesso aberto
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: gold
- Licença: cc-by
-
ABNT
BENSO, Marcos Roberto et al. A data-driven framework for assessing climatic impact drivers in the context of food security. Natural Hazards and Earth System Sciences, v. 25, p. 1387-1404, 2025Tradução . . Disponível em: https://doi.org/10.5194/nhess-25-1387-2025. Acesso em: 27 dez. 2025. -
APA
Benso, M. R., Silva, R. F., Gesualdo, G. C., Saraiva, A. M., Delbem, A. C. B., Marques, P. A. A., et al. (2025). A data-driven framework for assessing climatic impact drivers in the context of food security. Natural Hazards and Earth System Sciences, 25, 1387-1404. doi:10.5194/nhess-25-1387-2025 -
NLM
Benso MR, Silva RF, Gesualdo GC, Saraiva AM, Delbem ACB, Marques PAA, Marengo JA, Mendiondo EM. A data-driven framework for assessing climatic impact drivers in the context of food security [Internet]. Natural Hazards and Earth System Sciences. 2025 ; 25 1387-1404.[citado 2025 dez. 27 ] Available from: https://doi.org/10.5194/nhess-25-1387-2025 -
Vancouver
Benso MR, Silva RF, Gesualdo GC, Saraiva AM, Delbem ACB, Marques PAA, Marengo JA, Mendiondo EM. A data-driven framework for assessing climatic impact drivers in the context of food security [Internet]. Natural Hazards and Earth System Sciences. 2025 ; 25 1387-1404.[citado 2025 dez. 27 ] Available from: https://doi.org/10.5194/nhess-25-1387-2025 - Multi-objective methods for crop insurance premiums: framework proposal and a case study in sugarcane
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Informações sobre o DOI: 10.5194/nhess-25-1387-2025 (Fonte: oaDOI API)
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