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Registro Completo |
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
03/11/2022 |
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Data da última atualização: |
03/11/2022 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
PORTALANZA, D.; HORGAN, F. G.; POHLMANN, V.; CUADRA, S. V.; TORRES-ULLOA, M.; ALAVA, E.; FERRAZ, S.; DURIGON, A. |
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Afiliação: |
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. |
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Título: |
Potential impact of future climates on rice production in Ecuador determined using Kobayashi´s 'Very Simple Model'. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Agriculture, v. 12, n. 1, 1828, Nov. 2022. |
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DOI: |
https://doi.org/10.3390/agriculture12111828 |
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Idioma: |
Inglês |
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Conteúdo: |
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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Palavras-Chave: |
Agricultural modeling; Modelagem agrícola; Mudanças climáticas; RCPs; Yield gaps. |
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Thesagro: |
Oryza Sativa. |
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Thesaurus Nal: |
Climate change; Rice. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1147973/1/AP-Potential-impact-2022.pdf
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Marc: |
LEADER 02221naa a2200313 a 4500
001 2147973
005 2022-11-03
008 2022 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.3390/agriculture12111828$2DOI
100 1 $aPORTALANZA, D.
245 $aPotential impact of future climates on rice production in Ecuador determined using Kobayashi´s 'Very Simple Model'.$h[electronic resource]
260 $c2022
520 $aAbstract: 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.
650 $aClimate change
650 $aRice
650 $aOryza Sativa
653 $aAgricultural modeling
653 $aModelagem agrícola
653 $aMudanças climáticas
653 $aRCPs
653 $aYield gaps
700 1 $aHORGAN, F. G.
700 1 $aPOHLMANN, V.
700 1 $aCUADRA, S. V.
700 1 $aTORRES-ULLOA, M.
700 1 $aALAVA, E.
700 1 $aFERRAZ, S.
700 1 $aDURIGON, A.
773 $tAgriculture$gv. 12, n. 1, 1828, Nov. 2022.
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Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
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Registro Completo
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Biblioteca(s): |
Embrapa Meio Ambiente. |
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Data corrente: |
23/04/2013 |
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Data da última atualização: |
09/08/2021 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
PARAIBA, L. C.; PAZIANOTTO, R. A. A.; LUIZ, A. J. B.; MAIA, A. de H. N.; JONSSON, C. M. |
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Afiliação: |
LOURIVAL COSTA PARAIBA, CNPMA; RICARDO ANTONIO ALMEIDA PAZIANOTTO, CNPMA; ALFREDO JOSE BARRETO LUIZ, CNPMA; ALINE DE HOLANDA NUNES MAIA, CNPMA; CLAUDIO MARTIN JONSSON, CNPMA. |
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Título: |
A mathematical model to estimate the volume of grey water of pesticide mixtures. |
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Ano de publicação: |
2012 |
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Fonte/Imprenta: |
In: CONGRESSO BRASILEIRO DE ECOTOXICOLOGIA, 12., 2012, Porto de Galinhas/PE. Porto de Galinhas/PE: Sociedade Brasileira de Ecotoxicologia, 2012. n. 683. |
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Idioma: |
Inglês |
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Palavras-Chave: |
Grey water. |
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Thesagro: |
Cana de açúcar. |
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Thesaurus NAL: |
Herbicides; water footprint. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/81860/1/RA-ParaibaLC-et-al-Ecotox2012-683.pdf
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Marc: |
LEADER 00700nam a2200193 a 4500
001 1956427
005 2021-08-09
008 2012 bl uuuu u00u1 u #d
100 1 $aPARAIBA, L. C.
245 $aA mathematical model to estimate the volume of grey water of pesticide mixtures.$h[electronic resource]
260 $aIn: CONGRESSO BRASILEIRO DE ECOTOXICOLOGIA, 12., 2012, Porto de Galinhas/PE. Porto de Galinhas/PE: Sociedade Brasileira de Ecotoxicologia, 2012. n. 683.$c2012
650 $aHerbicides
650 $awater footprint
650 $aCana de açúcar
653 $aGrey water
700 1 $aPAZIANOTTO, R. A. A.
700 1 $aLUIZ, A. J. B.
700 1 $aMAIA, A. de H. N.
700 1 $aJONSSON, C. M.
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Embrapa Meio Ambiente (CNPMA) |
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