| |
|
|
 | Acesso ao texto completo restrito à biblioteca da Embrapa Agricultura Digital. Para informações adicionais entre em contato com cnptia.biblioteca@embrapa.br. |
|
Registro Completo |
|
Biblioteca(s): |
Embrapa Agricultura Digital. |
|
Data corrente: |
10/03/2025 |
|
Data da última atualização: |
10/03/2025 |
|
Tipo da produção científica: |
Artigo em Periódico Indexado |
|
Autoria: |
SILVA, R. F. B. da; VIÑA, A.; VICTORIA, D. de C.; BATISTELLA, M.; MARTHA JUNIOR, G. B.; MORAN, E. F.; LIU, J. |
|
Afiliação: |
RAMON FELIPE BICUDO DA SILVA, UNIVERSIDADE ESTADUAL DE CAMPINAS, MICHIGAN STATE UNIVERSITY; ANDRÉS VIÑA, MICHIGAN STATE UNIVERSITY, UNIVERSITY OF NORTH CAROLINA; DANIEL DE CASTRO VICTORIA, CNPTIA; MATEUS BATISTELLA, CNPTIA, UNIVERSIDADE ESTADUAL DE CAMPINAS; GERALDO BUENO MARTHA JUNIOR, CNPTIA; EMILIO FEDERICO MORAN, UNIVERSIDADE ESTADUAL DE CAMPINAS; JIANGUO LIU, MICHIGAN STATE UNIVERSITY. |
|
Título: |
Compound effects of drought and COVID-19 on soybean production in Brazil: challenges and policy responses. |
|
Ano de publicação: |
2025 |
|
Fonte/Imprenta: |
Science of The Total Environment, v. 971, 179047, 2025. |
|
ISSN: |
0048-9697 |
|
DOI: |
https://doi.org/10.1016/j.scitotenv.2025.179047 |
|
Idioma: |
Inglês |
|
Conteúdo: |
ABSTRACT. This study investigates the cumulative and interactive impacts of drought and COVID-19 on soybean production in Brazil, focusing on cascading economic and operational disruptions. The country has faced numerous drought events in recent years (1989 to 2022), culminating with one in 2022 that, together with the occurrence of COVID-19, led to the highest decline in soybean production since 1990 (10.5 % of the total national production). Our analyses based on spatial lagged regression models revealed that the cumulative impacts of consecutive drought events significantly affect soybean production. Furthermore, the study uncovered a significant interactive association between COVID-19 and drought by using spatial lag models, emphasizing the compounded challenges posed by simultaneous shocks of climate change and rising agricultural production costs due to pandemic-induced supply chain disruptions. In addition, descriptive statistics on agricultural economics showed that COVID-19 triggered historical peaks in agricultural input prices, forcing producers to enter the 2021–2022 crop season under critical conditions. Specifically, previous losses in soybean production due to droughts during the 2020—2021 season left producers facing financial constraints while contending with historically high pro duction costs for the next season. These results show how the impacts of a global pandemic cascade into soybean production costs (input prices), while highlight the vulnerability of Brazil’s soybean production system to multiple shocks. Hence, we envision responses encompassing short-term changes in management practices and land-use decisions at the farm level; mid-term public policies providing risk assessments and emergency credit to address abnormal spikes in production costs caused by socio-health stressors, which would enable producers to secure more suitable input packages, helping to mitigate potential losses associated with co-occurring climate extreme events; and long-term further investments in developing more self-sufficient food production systems, reducing the heavy reliance on imported agricultural inputs—as seen in the Brazilian case—, and development of highly soybean tolerant-drought varieties. MenosABSTRACT. This study investigates the cumulative and interactive impacts of drought and COVID-19 on soybean production in Brazil, focusing on cascading economic and operational disruptions. The country has faced numerous drought events in recent years (1989 to 2022), culminating with one in 2022 that, together with the occurrence of COVID-19, led to the highest decline in soybean production since 1990 (10.5 % of the total national production). Our analyses based on spatial lagged regression models revealed that the cumulative impacts of consecutive drought events significantly affect soybean production. Furthermore, the study uncovered a significant interactive association between COVID-19 and drought by using spatial lag models, emphasizing the compounded challenges posed by simultaneous shocks of climate change and rising agricultural production costs due to pandemic-induced supply chain disruptions. In addition, descriptive statistics on agricultural economics showed that COVID-19 triggered historical peaks in agricultural input prices, forcing producers to enter the 2021–2022 crop season under critical conditions. Specifically, previous losses in soybean production due to droughts during the 2020—2021 season left producers facing financial constraints while contending with historically high pro duction costs for the next season. These results show how the impacts of a global pandemic cascade into soybean production costs (input prices), while highlight the vulnerability ... Mostrar Tudo |
|
Palavras-Chave: |
Choques globais; Efeitos interativos; Pandemia. |
|
Thesagro: |
Agricultura; Mudança Climática; Segurança Alimentar. |
|
Thesaurus Nal: |
Agriculture; Climate change. |
|
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
|
Marc: |
LEADER 03197naa a2200313 a 4500
001 2173705
005 2025-03-10
008 2025 bl uuuu u00u1 u #d
022 $a0048-9697
024 7 $ahttps://doi.org/10.1016/j.scitotenv.2025.179047$2DOI
100 1 $aSILVA, R. F. B. da
245 $aCompound effects of drought and COVID-19 on soybean production in Brazil$bchallenges and policy responses.$h[electronic resource]
260 $c2025
520 $aABSTRACT. This study investigates the cumulative and interactive impacts of drought and COVID-19 on soybean production in Brazil, focusing on cascading economic and operational disruptions. The country has faced numerous drought events in recent years (1989 to 2022), culminating with one in 2022 that, together with the occurrence of COVID-19, led to the highest decline in soybean production since 1990 (10.5 % of the total national production). Our analyses based on spatial lagged regression models revealed that the cumulative impacts of consecutive drought events significantly affect soybean production. Furthermore, the study uncovered a significant interactive association between COVID-19 and drought by using spatial lag models, emphasizing the compounded challenges posed by simultaneous shocks of climate change and rising agricultural production costs due to pandemic-induced supply chain disruptions. In addition, descriptive statistics on agricultural economics showed that COVID-19 triggered historical peaks in agricultural input prices, forcing producers to enter the 2021–2022 crop season under critical conditions. Specifically, previous losses in soybean production due to droughts during the 2020—2021 season left producers facing financial constraints while contending with historically high pro duction costs for the next season. These results show how the impacts of a global pandemic cascade into soybean production costs (input prices), while highlight the vulnerability of Brazil’s soybean production system to multiple shocks. Hence, we envision responses encompassing short-term changes in management practices and land-use decisions at the farm level; mid-term public policies providing risk assessments and emergency credit to address abnormal spikes in production costs caused by socio-health stressors, which would enable producers to secure more suitable input packages, helping to mitigate potential losses associated with co-occurring climate extreme events; and long-term further investments in developing more self-sufficient food production systems, reducing the heavy reliance on imported agricultural inputs—as seen in the Brazilian case—, and development of highly soybean tolerant-drought varieties.
650 $aAgriculture
650 $aClimate change
650 $aAgricultura
650 $aMudança Climática
650 $aSegurança Alimentar
653 $aChoques globais
653 $aEfeitos interativos
653 $aPandemia
700 1 $aVIÑA, A.
700 1 $aVICTORIA, D. de C.
700 1 $aBATISTELLA, M.
700 1 $aMARTHA JUNIOR, G. B.
700 1 $aMORAN, E. F.
700 1 $aLIU, J.
773 $tScience of The Total Environment$gv. 971, 179047, 2025.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
|
|
|
| Registros recuperados : 1 | |
| 1. |  | PAIVA, M. das G. de S.; CHAPLIN, E. L.; STOBBE, N. S.; ARAUJO, F. A. P. de; SILVA, N. R. S. da. Identificação do Didelphis Marsupialis como Hospedeiro Experimental de Babesia Bovis. Pesquisa Agropecuaria Brasileira, Brasilia, v.26, n.4, p.511-513, abr.1991| Biblioteca(s): Embrapa Unidades Centrais. |
|    |
| Registros recuperados : 1 | |
|
| Nenhum registro encontrado para a expressão de busca informada. |
|
|
