| 1. |
- Daniel, Joaquina, et al.
(författare)
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Analysis of Factors Contributing to Malnutrition in Ribaué District – Nampula Province : Análise dos Factores que Contribuem para Malnutrição no Distrito de Ribaué – Província De Nampula
- 2023
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Ingår i: ISSN 2310-0036. - 2310-0036. ; 14:1, s. 1-14
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Tidskriftsartikel (refereegranskat)abstract
- This article deals with the factors that contribute to malnutrition, considering the nutritional situation in the five communities in which interventions to improve food and nutritional security were carried out. The objective is to present a qualitative analysis of the current nutritional situation of farmers, based on data collected through a survey in the form of a questionnaire and a systematic review of the literature on food and nutritional security. The study discusses the concepts and theories related to food and nutritional security in the Mozambican context. Low agricultural income and the weak source of household income, the non-existence or lack of access to markets, poor environmental sanitation, the lack of drinking water and the lack of knowledge about the importance of food and how to combine it They lead rural populations to malnutrition.
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| 4. |
- Monteiro, Leonardo
(författare)
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Impacto das mudanças climáticas na produtividade da cana de açúcar em maceió
- 2020
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Ingår i: Revista Brasileira de Meteorologia. - : FapUNIFESP (SciELO). - 0102-7786 .- 1982-4351. ; 35, s. 969-980
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Tidskriftsartikel (refereegranskat)abstract
- In this study, a statistical downscaling model (SDSM) based on the analogous methodology was used to project future patterns of precipitation and temperature in the city of Maceió, east coast of northeastern Brazil (9.7° S; 35.7° W; 64.5m), and to evaluate its impacts on sugar cane yield. Historical observed data were used for downscaling precipita- tion and temperature using different global climate models (CanESM2, CNRM-CM5, IPSL-CM5A-MR, GFDL- ESM2M, MIROC-ESM, MPI-ESM-MR, and NorESM1-M) in relation to the reference period (1961-1990), and then for future scenarios from 2021 to 2080. The data were analysed in a ten days period, the same time step as the agrome- teorological model used for culture. Contrary to what was expected, the combination of reduced rainfall and increased evapotranspiration in future scenarios did not decrease the estimate of yield, with an increase forecast. This effect can be attributed to the fact that the reduction in predicted rainfall, which was more pronounced in the rainy season, was not decisive for the decrease in yield, since in most MCGs there is a forecast of increased rainfall in the dry period from September to December, which is crucial for the initial growth of the crop, which has a planting schedule from the first ten-day period of September.
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