2022
DOI: 10.1590/0001-3765202220211379
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Exposure To Climate Risk: A Case Study For Coffee Farming In The Region Of Alta Mogiana, São Paulo

Abstract: Studies around the world show an increase in global average temperatures, with a consequent increase in extreme events and changes in the distribution of precipitation, causing a decrease in agricultural production and changes in planting areas. This study analyzed the exposure to climate risk that the coffee crop in the region of Alta Mogiana/SP, Brazil has been presenting in the past thirty years . Time series of daily data of maximum and minimum temperature and precipitation were used. By the statistical te… Show more

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Cited by 5 publications
(5 citation statements)
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“…However, the images of the interior longitudinal cut indicate that through this analysis of this part of the bean all the samples are different. Previous studies indicate that the physical characteristics of coffee beans depend on certain factors, such as the geographic location of the coffee growing areas, geographic characteristics and the chemical composition of the bean [28][29][30][31] as well as the roasting to which the kernels are subjected, which influences the integrity of the cell membranes of the kernels [18]. These results are consistent with the fact that the analysis of cellular ultrastructures of coffee beans can be related to quality loss during bean processing [31] since in roasting water gradually evaporates as heat is transferred to the bean and the internal cell structure is dislocated and irreversibly damaged, exposing certain chemical components and when these are added in the coffee plant they influence the final quality of Coffea arabica L. beans as well as the beverage [32].…”
Section: Resultsmentioning
confidence: 99%
“…However, the images of the interior longitudinal cut indicate that through this analysis of this part of the bean all the samples are different. Previous studies indicate that the physical characteristics of coffee beans depend on certain factors, such as the geographic location of the coffee growing areas, geographic characteristics and the chemical composition of the bean [28][29][30][31] as well as the roasting to which the kernels are subjected, which influences the integrity of the cell membranes of the kernels [18]. These results are consistent with the fact that the analysis of cellular ultrastructures of coffee beans can be related to quality loss during bean processing [31] since in roasting water gradually evaporates as heat is transferred to the bean and the internal cell structure is dislocated and irreversibly damaged, exposing certain chemical components and when these are added in the coffee plant they influence the final quality of Coffea arabica L. beans as well as the beverage [32].…”
Section: Resultsmentioning
confidence: 99%
“…In the Southeast region, impacts on agricultural aptitude (dos Santos et al 2016), agroclimatic risks (Torres et al 2022), broiler mortality (Vieira et al 2008), production (Ferreira et Agriculture is an important economic activity in the South of Brazil. In 2022, the region accounted for 90%, 84%, 48%, and 33% of the national production of wheat, rice, poultry, and bean, respectively (IBGE 2023a(IBGE , 2023b).…”
Section: Geographical Distribution Of Studiesmentioning
confidence: 99%
“…Furthermore, negative impacts on price and profitability of cattle production in Rio Grande do Sul were identified in relation to El Niño and La Niña(Pereira et al 2018). Additionally, reductions in precipitation correlated to agroclimatic risks(Torres et al 2022), reductions in crop area(Costa et al 2023), production(Ferreira et al 2019a), productivity(Moura 1998, Burney et al 2014, dos Reis et al 2020, Koh et al 2020, Souza et al 2021), and shifts to less intensive agriculture (Rattis et al 2021), while…”
mentioning
confidence: 99%
“…Se trata, portanto, de um modelo que utiliza observações de satélites para estimar condições meteorológicas de temperatura, precipitação, radiação solar, entre outras métricas. Quando comparado com dados reais, o modelo NASA POWER possui alta correlação nas variáveis de temperatura (máxima e mínima) bem como para precipitação para a maior parte das localizações estudadas (Torres et al, 2022).…”
Section: Dados Meteorológicosunclassified