2020
DOI: 10.1002/joc.6684
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The impact of El Niño Southern Oscillation on cropping season rainfall variability across Central Brazil

Abstract: The impact of El Niño Southern Oscillation on cropping season rainfall variability across Central Brazil The International Center for Tropical Agriculture (CIAT) believes that open access contributes to its mission of reducing hunger and poverty, and improving human nutrition in the tropics through research aimed at increasing the eco-efficiency of agriculture. CIAT is committed to creating and sharing knowledge and information openly and globally. We do this through collaborative research as well as through t… Show more

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Cited by 10 publications
(9 citation statements)
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“…Due to its annual cycle, the wet season is from October to March, and the dry season is from April to September, highlighting monsoonal rainfall characteristics in this region (monomodal pattern) (Prado et al 2021). More than 80% of the total annual rainfall are in the wet season (between October and March), with the largest rainfall volumes recorded from January to March (Heinemann et al 2021). The annual rainfall in the study region ranges from 1,130 to 2,040 mm, with a mean of 1,515 mm.…”
Section: Regional Settingmentioning
confidence: 87%
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“…Due to its annual cycle, the wet season is from October to March, and the dry season is from April to September, highlighting monsoonal rainfall characteristics in this region (monomodal pattern) (Prado et al 2021). More than 80% of the total annual rainfall are in the wet season (between October and March), with the largest rainfall volumes recorded from January to March (Heinemann et al 2021). The annual rainfall in the study region ranges from 1,130 to 2,040 mm, with a mean of 1,515 mm.…”
Section: Regional Settingmentioning
confidence: 87%
“…This decrease in standard deviation (SD) was marked from 1990-1999 to 2000-2011 (Table 4b). According to Heinemann et al (2021), in the study region a total rainfall volume of 43 mm is sufficient to bring the first layer (~17 cm) of soil to field capacity to sow crops. The number of days, in average, for the begin of crop season in the periods (1980-1989, 1990-1999, and 2000-2011) were 14, 16, and 14.7, respectively (Table 4a).…”
Section: Accumulated Rainfallmentioning
confidence: 99%
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“…According to Gupta et al (2020) , drought is responsible for more annual losses of crop GY than all plant pathogens combined. Climatic anomalies related to longer periods of rain scarcity are becoming increasingly common in tropical regions ( Cunningham, 2020 ; Heinemann et al, 2021 ), limiting food production. Tropical regions with weathered and acidic soils present low nutrient availability and high Al 3+ levels, leading to restricted root growth and lower uptake of water and nutrients, especially under lower water supply ( Ritchey et al, 1982 ; Joris et al, 2013 ).…”
Section: Discussionmentioning
confidence: 99%
“…O modelo simula o crescimento e o rendimento influenciados pelas condições ambientais locais, práticas agronômicas e características de cultivo. Esse modelo vem sendo amplamente utilizado no Brasil, com níveis relativamente altos de acurácia, para estimar a produtividade das principais cultivares de arroz irrigado nas distintas regiões produtoras de arroz do Brasil (Heinemann et al, 2012;Heinemann el al., 2015;Heinemann et al, 2019;Heinemann et al, 2020). De maneira simplificada, o modelo utiliza uma série de módulos (processos) para simular o desenvolvimento, crescimento e produtividade da planta de arroz.…”
Section: Modelo De Simulação Da Produtividade Crescimento E Desenvolvimento Do Arrozunclassified