Agroclimatic zoning for bananas under climate change in Brazil

Detalhes bibliográficos
Autor(a) principal: Souza, Gabriel Henrique de Olanda
Data de Publicação: 2022
Outros Autores: Aparecido, Lucas Eduardo de Oliveira, Lima, Rafael Fausto de, Torsoni, Guilherme Botega, Chiquitto, Alisson Gaspar, Moraes, Jose Reinaldo Cabral de [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1002/jsfa.12018
http://hdl.handle.net/11449/240168
Resumo: BACKGROUND: Climate change is the main cause of biotic and abiotic stresses in plants and affects yield. Therefore, we sought to carry out a study on future changes in the agroclimatic conditions of banana cultivation in Brazil. The current agroclimatic zoning was carried out with data obtained from the National Institute of Meteorology related to mean air temperature, annual rainfall, and soil texture data in Brazil. The global climate model BCC-CSM1.1 (Beijing Climate Center-Climate System Model, version 1.1), adopted by the Intergovernmental Panel on Climate Change, corresponding to Representative Concentration Pathways (RCPs) 2.6, 4.5, 6.0, and 8.5 for the period 2050 (2041–2060) and 2070 (2061–2080), obtained through the CHELSA V1.2 platform, was chosen for the climate projections of the Coupled Model Intercomparison Project 5. Matrix images at a depth of 5–15 cm, obtained through the product of the SoilGrids system, were used for the texture data. ArcGIS version 10.8 was used to construct the maps. RESULTS: Areas favorable to the crop plantation were classified as suitable when air temperature TAIR was between 20 and 29 °C, annual rainfall RANNUAL between 1200 and 1900 mm, and soil clay content CSOIL between 30 and 55%. Subsequently, the information was reclassified, summarizing the classes into preferential, recommended, little recommended, and not recommended. The current scenario shows a preferential class of 8.1%, recommended of 44.6%, little recommended of 47.1%, and not recommended of 0.1% for the Brazilian territory. CONCLUSION: The results show no drastic changes in the total area regarding the classes, but there is a migration from these zones; that is, from tropical to subtropical and temperate regions. RCP 8.5–2070 (2061–2080) showed trends with negative impacts on arable areas for banana cultivation at the end of the century. © 2022 Society of Chemical Industry.
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spelling Agroclimatic zoning for bananas under climate change in Brazilcrop modelingfruit growingfuture climate scenariosIPCCMusa spp.BACKGROUND: Climate change is the main cause of biotic and abiotic stresses in plants and affects yield. Therefore, we sought to carry out a study on future changes in the agroclimatic conditions of banana cultivation in Brazil. The current agroclimatic zoning was carried out with data obtained from the National Institute of Meteorology related to mean air temperature, annual rainfall, and soil texture data in Brazil. The global climate model BCC-CSM1.1 (Beijing Climate Center-Climate System Model, version 1.1), adopted by the Intergovernmental Panel on Climate Change, corresponding to Representative Concentration Pathways (RCPs) 2.6, 4.5, 6.0, and 8.5 for the period 2050 (2041–2060) and 2070 (2061–2080), obtained through the CHELSA V1.2 platform, was chosen for the climate projections of the Coupled Model Intercomparison Project 5. Matrix images at a depth of 5–15 cm, obtained through the product of the SoilGrids system, were used for the texture data. ArcGIS version 10.8 was used to construct the maps. RESULTS: Areas favorable to the crop plantation were classified as suitable when air temperature TAIR was between 20 and 29 °C, annual rainfall RANNUAL between 1200 and 1900 mm, and soil clay content CSOIL between 30 and 55%. Subsequently, the information was reclassified, summarizing the classes into preferential, recommended, little recommended, and not recommended. The current scenario shows a preferential class of 8.1%, recommended of 44.6%, little recommended of 47.1%, and not recommended of 0.1% for the Brazilian territory. CONCLUSION: The results show no drastic changes in the total area regarding the classes, but there is a migration from these zones; that is, from tropical to subtropical and temperate regions. RCP 8.5–2070 (2061–2080) showed trends with negative impacts on arable areas for banana cultivation at the end of the century. © 2022 Society of Chemical Industry.Department of Agrometeorology Federal Institute of Education Science and Technology of Mato Grosso do Sul (IFMS) Campus NaviraíDepartment of Agrometeorology Federal Institute of Education Science and Technology of Sul de Minas Gerais (IFSULDEMINAS) – Campus MuzambinhoDepartment of Agrometeorology State University of Sao Paulo (FCAV/UNESP) – JaboticabalDepartment of Agrometeorology State University of Sao Paulo (FCAV/UNESP) – JaboticabalScience and Technology of Mato Grosso do Sul (IFMS) Campus NaviraíScience and Technology of Sul de Minas Gerais (IFSULDEMINAS) – Campus MuzambinhoUniversidade Estadual Paulista (UNESP)Souza, Gabriel Henrique de OlandaAparecido, Lucas Eduardo de OliveiraLima, Rafael Fausto deTorsoni, Guilherme BotegaChiquitto, Alisson GasparMoraes, Jose Reinaldo Cabral de [UNESP]2023-03-01T20:04:31Z2023-03-01T20:04:31Z2022-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1002/jsfa.12018Journal of the Science of Food and Agriculture.1097-00100022-5142http://hdl.handle.net/11449/24016810.1002/jsfa.120182-s2.0-85131151831Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengJournal of the Science of Food and Agricultureinfo:eu-repo/semantics/openAccess2023-03-01T20:04:31Zoai:repositorio.unesp.br:11449/240168Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T17:35:10.152944Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Agroclimatic zoning for bananas under climate change in Brazil
title Agroclimatic zoning for bananas under climate change in Brazil
spellingShingle Agroclimatic zoning for bananas under climate change in Brazil
Souza, Gabriel Henrique de Olanda
crop modeling
fruit growing
future climate scenarios
IPCC
Musa spp.
title_short Agroclimatic zoning for bananas under climate change in Brazil
title_full Agroclimatic zoning for bananas under climate change in Brazil
title_fullStr Agroclimatic zoning for bananas under climate change in Brazil
title_full_unstemmed Agroclimatic zoning for bananas under climate change in Brazil
title_sort Agroclimatic zoning for bananas under climate change in Brazil
author Souza, Gabriel Henrique de Olanda
author_facet Souza, Gabriel Henrique de Olanda
Aparecido, Lucas Eduardo de Oliveira
Lima, Rafael Fausto de
Torsoni, Guilherme Botega
Chiquitto, Alisson Gaspar
Moraes, Jose Reinaldo Cabral de [UNESP]
author_role author
author2 Aparecido, Lucas Eduardo de Oliveira
Lima, Rafael Fausto de
Torsoni, Guilherme Botega
Chiquitto, Alisson Gaspar
Moraes, Jose Reinaldo Cabral de [UNESP]
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Science and Technology of Mato Grosso do Sul (IFMS) Campus Naviraí
Science and Technology of Sul de Minas Gerais (IFSULDEMINAS) – Campus Muzambinho
Universidade Estadual Paulista (UNESP)
dc.contributor.author.fl_str_mv Souza, Gabriel Henrique de Olanda
Aparecido, Lucas Eduardo de Oliveira
Lima, Rafael Fausto de
Torsoni, Guilherme Botega
Chiquitto, Alisson Gaspar
Moraes, Jose Reinaldo Cabral de [UNESP]
dc.subject.por.fl_str_mv crop modeling
fruit growing
future climate scenarios
IPCC
Musa spp.
topic crop modeling
fruit growing
future climate scenarios
IPCC
Musa spp.
description BACKGROUND: Climate change is the main cause of biotic and abiotic stresses in plants and affects yield. Therefore, we sought to carry out a study on future changes in the agroclimatic conditions of banana cultivation in Brazil. The current agroclimatic zoning was carried out with data obtained from the National Institute of Meteorology related to mean air temperature, annual rainfall, and soil texture data in Brazil. The global climate model BCC-CSM1.1 (Beijing Climate Center-Climate System Model, version 1.1), adopted by the Intergovernmental Panel on Climate Change, corresponding to Representative Concentration Pathways (RCPs) 2.6, 4.5, 6.0, and 8.5 for the period 2050 (2041–2060) and 2070 (2061–2080), obtained through the CHELSA V1.2 platform, was chosen for the climate projections of the Coupled Model Intercomparison Project 5. Matrix images at a depth of 5–15 cm, obtained through the product of the SoilGrids system, were used for the texture data. ArcGIS version 10.8 was used to construct the maps. RESULTS: Areas favorable to the crop plantation were classified as suitable when air temperature TAIR was between 20 and 29 °C, annual rainfall RANNUAL between 1200 and 1900 mm, and soil clay content CSOIL between 30 and 55%. Subsequently, the information was reclassified, summarizing the classes into preferential, recommended, little recommended, and not recommended. The current scenario shows a preferential class of 8.1%, recommended of 44.6%, little recommended of 47.1%, and not recommended of 0.1% for the Brazilian territory. CONCLUSION: The results show no drastic changes in the total area regarding the classes, but there is a migration from these zones; that is, from tropical to subtropical and temperate regions. RCP 8.5–2070 (2061–2080) showed trends with negative impacts on arable areas for banana cultivation at the end of the century. © 2022 Society of Chemical Industry.
publishDate 2022
dc.date.none.fl_str_mv 2022-01-01
2023-03-01T20:04:31Z
2023-03-01T20:04:31Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1002/jsfa.12018
Journal of the Science of Food and Agriculture.
1097-0010
0022-5142
http://hdl.handle.net/11449/240168
10.1002/jsfa.12018
2-s2.0-85131151831
url http://dx.doi.org/10.1002/jsfa.12018
http://hdl.handle.net/11449/240168
identifier_str_mv Journal of the Science of Food and Agriculture.
1097-0010
0022-5142
10.1002/jsfa.12018
2-s2.0-85131151831
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Journal of the Science of Food and Agriculture
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
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