Autoria: PORTALANZA, D.; HORGAN, F. G.; POHLMANN, V.; CUADRA, S. V.; TORRES-ULLOA, M.; ALAVA, E.; FERRAZ, S.; DURIGON, A.

Resumo: Abstract: Rice (Oryza sativa L.) is the main staple food of more than 50% of the world´s population. However, global production may need to increase by more than 70% before 2050 to meet global food requirements despite increasing challenges due to environmental degradation, a changing climate, and extreme weather events. Rice production in Ecuador, mainly concentrated in lowland tropical plains, declined in recent years. In this paper, we aim to calibrate and validate KobayashÍ´s 'Very Simple Model' (VSM) and, using downscaled corrected climate data, to quantify the potential impact of climate change on rice yields for Ecuador´s two main rice-growing provinces. The negative impact is expected to be highest (up to -67%; 2946 tons) under the Representative Concentration Pathway (RCP) 8.5, with a lower impact under RCP 2.6 (-36%; 1650 tons) yield reduction in the Guayas province. A positive impact on yield is predicted for Los Ríos Province (up to 9%; 161 tons) under RCP 8.5. These different impacts indicate the utility of fine-scale analyses using simple models to make predictions that are relevant to regional production scenarios. Our prediction of possible changes in rice productivity can help policymakers define a variety of requirements to meet the demands of a changing climate.

Ano de publicação: 2022

Tipo de publicação: Artigo de periódico

Unidade: Embrapa Agricultura Digital

Palavras-chave: Agricultural modeling, Modelagem agrícola, Mudanças climáticas, Oryza Sativa, RCPs, Yield gaps