Potential impact of future climates on rice production in Ecuador determined using Kobayashi´s 'Very Simple Model'.
| dc.contributor | 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. | |
| dc.creator | PORTALANZA, D. | |
| dc.creator | HORGAN, F. G. | |
| dc.creator | POHLMANN, V. | |
| dc.creator | CUADRA, S. V. | |
| dc.creator | TORRES-ULLOA, M. | |
| dc.creator | ALAVA, E. | |
| dc.creator | FERRAZ, S. | |
| dc.creator | DURIGON, A. | |
| dc.date | 2022-11-03T12:08:34Z | |
| dc.date | 2022-11-03T12:08:34Z | |
| dc.date | 2022-11-03 | |
| dc.date | 2022 | |
| dc.date.accessioned | 2026-07-07T04:17:09Z | |
| 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.identifier | Agriculture, v. 12, n. 1, 1828, Nov. 2022. | |
| dc.identifier | http://www.alice.cnptia.embrapa.br/alice/handle/doc/1147973 | |
| dc.identifier | https://doi.org/10.3390/agriculture12111828 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/456412 | |
| dc.language | eng | |
| dc.rights | openAccess | |
| dc.subject | Modelagem agrícola | |
| dc.subject | Mudanças climáticas | |
| dc.subject | Agricultural modeling | |
| dc.subject | RCPs | |
| dc.subject | Yield gaps | |
| dc.subject | Oryza Sativa | |
| dc.subject | Rice | |
| dc.subject | Climate change | |
| dc.title | Potential impact of future climates on rice production in Ecuador determined using Kobayashi´s 'Very Simple Model'. | |
| dc.type | Artigo de periódico |
