Potential impact of future climates on rice production in Ecuador determined using Kobayashi´s 'Very Simple Model'.

Detalhes bibliográficos
Autor(a) principal: PORTALANZA, D.
Data de Publicação: 2022
Outros Autores: HORGAN, F. G., POHLMANN, V., CUADRA, S. V., TORRES-ULLOA, M., ALAVA, E., FERRAZ, S., DURIGON, A.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
Texto Completo: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1147973
https://doi.org/10.3390/agriculture12111828
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.
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spelling Potential impact of future climates on rice production in Ecuador determined using Kobayashi´s 'Very Simple Model'.Modelagem agrícolaMudanças climáticasAgricultural modelingRCPsYield gapsOryza SativaRiceClimate changeAbstract: 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.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.PORTALANZA, D.HORGAN, F. G.POHLMANN, V.CUADRA, S. V.TORRES-ULLOA, M.ALAVA, E.FERRAZ, S.DURIGON, A.2022-11-03T12:08:34Z2022-11-03T12:08:34Z2022-11-032022info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleAgriculture, v. 12, n. 1, 1828, Nov. 2022.http://www.alice.cnptia.embrapa.br/alice/handle/doc/1147973https://doi.org/10.3390/agriculture12111828enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2022-11-03T12:08:43Zoai:www.alice.cnptia.embrapa.br:doc/1147973Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542022-11-03T12:08:43falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542022-11-03T12:08:43Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false
dc.title.none.fl_str_mv Potential impact of future climates on rice production in Ecuador determined using Kobayashi´s 'Very Simple Model'.
title Potential impact of future climates on rice production in Ecuador determined using Kobayashi´s 'Very Simple Model'.
spellingShingle Potential impact of future climates on rice production in Ecuador determined using Kobayashi´s 'Very Simple Model'.
PORTALANZA, D.
Modelagem agrícola
Mudanças climáticas
Agricultural modeling
RCPs
Yield gaps
Oryza Sativa
Rice
Climate change
title_short Potential impact of future climates on rice production in Ecuador determined using Kobayashi´s 'Very Simple Model'.
title_full Potential impact of future climates on rice production in Ecuador determined using Kobayashi´s 'Very Simple Model'.
title_fullStr Potential impact of future climates on rice production in Ecuador determined using Kobayashi´s 'Very Simple Model'.
title_full_unstemmed Potential impact of future climates on rice production in Ecuador determined using Kobayashi´s 'Very Simple Model'.
title_sort Potential impact of future climates on rice production in Ecuador determined using Kobayashi´s 'Very Simple Model'.
author PORTALANZA, D.
author_facet PORTALANZA, D.
HORGAN, F. G.
POHLMANN, V.
CUADRA, S. V.
TORRES-ULLOA, M.
ALAVA, E.
FERRAZ, S.
DURIGON, A.
author_role author
author2 HORGAN, F. G.
POHLMANN, V.
CUADRA, S. V.
TORRES-ULLOA, M.
ALAVA, E.
FERRAZ, S.
DURIGON, A.
author2_role author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv 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.contributor.author.fl_str_mv PORTALANZA, D.
HORGAN, F. G.
POHLMANN, V.
CUADRA, S. V.
TORRES-ULLOA, M.
ALAVA, E.
FERRAZ, S.
DURIGON, A.
dc.subject.por.fl_str_mv Modelagem agrícola
Mudanças climáticas
Agricultural modeling
RCPs
Yield gaps
Oryza Sativa
Rice
Climate change
topic Modelagem agrícola
Mudanças climáticas
Agricultural modeling
RCPs
Yield gaps
Oryza Sativa
Rice
Climate change
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.
publishDate 2022
dc.date.none.fl_str_mv 2022-11-03T12:08:34Z
2022-11-03T12:08:34Z
2022-11-03
2022
dc.type.driver.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv Agriculture, v. 12, n. 1, 1828, Nov. 2022.
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1147973
https://doi.org/10.3390/agriculture12111828
identifier_str_mv Agriculture, v. 12, n. 1, 1828, Nov. 2022.
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/1147973
https://doi.org/10.3390/agriculture12111828
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
instname_str Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron_str EMBRAPA
institution EMBRAPA
reponame_str Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
collection Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
repository.name.fl_str_mv Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
repository.mail.fl_str_mv cg-riaa@embrapa.br
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