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Campo DC | Valor | Lengua/Idioma |
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dc.contributor.author | PORTALANZA, D. | |
dc.contributor.author | HORGAN, F. G. | |
dc.contributor.author | POHLMANN, V. | |
dc.contributor.author | CUADRA, S. V. | |
dc.contributor.author | TORRES-ULLOA, M. | |
dc.contributor.author | ALAVA, E. | |
dc.contributor.author | FERRAZ, S. | |
dc.contributor.author | DURIGON, A. | |
dc.date.accessioned | 2022-11-03T12:08:34Z | - |
dc.date.available | 2022-11-03T12:08:34Z | - |
dc.date.created | 2022-11-03 | |
dc.date.issued | 2022 | |
dc.identifier.citation | Agriculture, v. 12, n. 1, 1828, Nov. 2022. | |
dc.identifier.uri | http://www.alice.cnptia.embrapa.br/alice/handle/doc/1147973 | - |
dc.description | 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. | |
dc.language.iso | eng | |
dc.rights | openAccess | |
dc.subject | Modelagem agrícola | |
dc.subject | Mudanças climáticas | |
dc.subject | Agricultural modeling | |
dc.subject | RCPs | |
dc.subject | Yield gaps | |
dc.title | Potential impact of future climates on rice production in Ecuador determined using Kobayashi´s 'Very Simple Model'. | |
dc.type | Artigo de periódico | |
dc.subject.thesagro | Oryza Sativa | |
dc.subject.nalthesaurus | Rice | |
dc.subject.nalthesaurus | Climate change | |
riaa.ainfo.id | 1147973 | |
riaa.ainfo.lastupdate | 2022-11-03 | |
dc.identifier.doi | https://doi.org/10.3390/agriculture12111828 | |
dc.contributor.institution | DIEGO PORTALANZA, UNIVERSIDADE FEDERAL DE SANTA MARIA; FINBARR G. HORGAN, ECOLAVERNA INTEGRAL RESTORATION ECOLOGY, UNIVERSIDAD CATÓLICA DEL MAULE, THE UNIVERSITY OF EDINBURGH; VALERIA POHLMANN, UNIVERSIDADE FEDERAL DE PELOTAS; SANTIAGO VIANNA CUADRA, CNPTIA; MALENA TORRES-ULLOA, ESCUELA SUPERIOR POLITÉCNICA DEL LITORAL; EDUARDO ALAVA, ESCUELA SUPERIOR POLITÉCNICA DEL LITORAL; SIMONE FERRAZ, UNIVERSIDADE FEDERAL DE SANTA MARIA; ANGELICA DURIGON, UNIVERSIDADE FEDERAL DE SANTA MARIA. | |
Aparece en las colecciones: | Artigo em periódico indexado (CNPTIA)![]() ![]() |
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Fichero | Descripción | Tamaño | Formato | |
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AP-Potential-impact-2022.pdf | 3.45 MB | Adobe PDF | ![]() Visualizar/Abrir |