Agroclimatic zoning for bananas under climate change in Brazil
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...
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Veröffentlicht in: | Journal of the science of food and agriculture 2022-11, Vol.102 (14), p.6511-6529 |
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creator | Olanda Souza, Gabriel Henrique Oliveira Aparecido, Lucas Eduardo Lima, Rafael Fausto Torsoni, Guilherme Botega Chiquitto, Alisson Gaspar Moraes, Jose Reinaldo Cabral |
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. |
doi_str_mv | 10.1002/jsfa.12018 |
format | Article |
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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.</description><identifier>ISSN: 0022-5142</identifier><identifier>EISSN: 1097-0010</identifier><identifier>DOI: 10.1002/jsfa.12018</identifier><identifier>PMID: 35567412</identifier><language>eng</language><publisher>Chichester, UK: John Wiley & Sons, Ltd</publisher><subject>Air temperature ; Annual rainfall ; Arable land ; Bananas ; Clay soils ; Climate change ; Climate system ; crop modeling ; Cultivation ; Fruit cultivation ; fruit growing ; future climate scenarios ; Global climate models ; Intergovernmental Panel on Climate Change ; IPCC ; Meteorology ; Musa spp ; Rainfall ; Soil properties ; Soil temperature ; Soil texture ; Texture ; Zoning</subject><ispartof>Journal of the science of food and agriculture, 2022-11, Vol.102 (14), p.6511-6529</ispartof><rights>2022 Society of Chemical Industry.</rights><rights>This article is protected by copyright. All rights reserved.</rights><rights>Copyright © 2022 Society of Chemical Industry</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3578-66eef4978d4369cf7a84d757b7b3bd1aaf2236980ad2e07009be246ce0c3f28f3</citedby><cites>FETCH-LOGICAL-c3578-66eef4978d4369cf7a84d757b7b3bd1aaf2236980ad2e07009be246ce0c3f28f3</cites><orcidid>0000-0002-4561-6760</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fjsfa.12018$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fjsfa.12018$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1417,27924,27925,45574,45575</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35567412$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Olanda Souza, Gabriel Henrique</creatorcontrib><creatorcontrib>Oliveira Aparecido, Lucas Eduardo</creatorcontrib><creatorcontrib>Lima, Rafael Fausto</creatorcontrib><creatorcontrib>Torsoni, Guilherme Botega</creatorcontrib><creatorcontrib>Chiquitto, Alisson Gaspar</creatorcontrib><creatorcontrib>Moraes, Jose Reinaldo Cabral</creatorcontrib><title>Agroclimatic zoning for bananas under climate change in Brazil</title><title>Journal of the science of food and agriculture</title><addtitle>J Sci Food Agric</addtitle><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.</description><subject>Air temperature</subject><subject>Annual rainfall</subject><subject>Arable land</subject><subject>Bananas</subject><subject>Clay soils</subject><subject>Climate change</subject><subject>Climate system</subject><subject>crop modeling</subject><subject>Cultivation</subject><subject>Fruit cultivation</subject><subject>fruit growing</subject><subject>future climate scenarios</subject><subject>Global climate models</subject><subject>Intergovernmental Panel on Climate Change</subject><subject>IPCC</subject><subject>Meteorology</subject><subject>Musa spp</subject><subject>Rainfall</subject><subject>Soil properties</subject><subject>Soil temperature</subject><subject>Soil texture</subject><subject>Texture</subject><subject>Zoning</subject><issn>0022-5142</issn><issn>1097-0010</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNp90MtKAzEUBuAgiq2XjQ8gATcijOY2yWQj1GK9UHChrkMmk9Qp04wmHaR9elOnunAhWZzF-fg5-QE4wegSI0Su5tHpS0wQLnbAECMpMoQw2gXDtCRZjhkZgIMY5wghKTnfBwOa51wwTIbgejQLrWnqhV7WBq5bX_sZdG2ApfbpRdj5ygbYCwvNm_YzC2sPb4Je180R2HO6ifZ4Ow_B6-T2ZXyfTZ_uHsajaWZoLoqMc2sdk6KoGOXSOKELVolclKKkZYW1doSkRYF0RSwS6c7SEsaNRYY6Ujh6CM773PfQfnQ2LtWijsY2jfa27aIinDMhMaVFomd_6Lztgk_XKSKw5CzPpUzqolcmtDEG69R7SF8MK4WR2rSqNq2q71YTPt1GduXCVr_0p8YEcA8-68au_olSj8-TUR_6BaJVgEE</recordid><startdate>202211</startdate><enddate>202211</enddate><creator>Olanda Souza, Gabriel Henrique</creator><creator>Oliveira Aparecido, Lucas Eduardo</creator><creator>Lima, Rafael Fausto</creator><creator>Torsoni, Guilherme Botega</creator><creator>Chiquitto, Alisson Gaspar</creator><creator>Moraes, Jose Reinaldo Cabral</creator><general>John Wiley & Sons, Ltd</general><general>John Wiley and Sons, Limited</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QF</scope><scope>7QL</scope><scope>7QQ</scope><scope>7QR</scope><scope>7SC</scope><scope>7SE</scope><scope>7SN</scope><scope>7SP</scope><scope>7SR</scope><scope>7ST</scope><scope>7T5</scope><scope>7T7</scope><scope>7TA</scope><scope>7TB</scope><scope>7TM</scope><scope>7U5</scope><scope>7U9</scope><scope>8BQ</scope><scope>8FD</scope><scope>C1K</scope><scope>F28</scope><scope>FR3</scope><scope>H8D</scope><scope>H8G</scope><scope>H94</scope><scope>JG9</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>M7N</scope><scope>P64</scope><scope>SOI</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-4561-6760</orcidid></search><sort><creationdate>202211</creationdate><title>Agroclimatic zoning for bananas under climate change in Brazil</title><author>Olanda Souza, Gabriel Henrique ; Oliveira Aparecido, Lucas Eduardo ; Lima, Rafael Fausto ; Torsoni, Guilherme Botega ; Chiquitto, Alisson Gaspar ; Moraes, Jose Reinaldo Cabral</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3578-66eef4978d4369cf7a84d757b7b3bd1aaf2236980ad2e07009be246ce0c3f28f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Air temperature</topic><topic>Annual rainfall</topic><topic>Arable land</topic><topic>Bananas</topic><topic>Clay soils</topic><topic>Climate change</topic><topic>Climate system</topic><topic>crop modeling</topic><topic>Cultivation</topic><topic>Fruit cultivation</topic><topic>fruit growing</topic><topic>future climate scenarios</topic><topic>Global climate models</topic><topic>Intergovernmental Panel on Climate Change</topic><topic>IPCC</topic><topic>Meteorology</topic><topic>Musa spp</topic><topic>Rainfall</topic><topic>Soil properties</topic><topic>Soil temperature</topic><topic>Soil texture</topic><topic>Texture</topic><topic>Zoning</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Olanda Souza, Gabriel Henrique</creatorcontrib><creatorcontrib>Oliveira Aparecido, Lucas Eduardo</creatorcontrib><creatorcontrib>Lima, Rafael Fausto</creatorcontrib><creatorcontrib>Torsoni, Guilherme Botega</creatorcontrib><creatorcontrib>Chiquitto, Alisson Gaspar</creatorcontrib><creatorcontrib>Moraes, Jose Reinaldo Cabral</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Aluminium Industry Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Ceramic Abstracts</collection><collection>Chemoreception Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>Corrosion Abstracts</collection><collection>Ecology Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Environment Abstracts</collection><collection>Immunology Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Materials Business File</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Copper Technical Reference Library</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environment Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of the science of food and agriculture</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Olanda Souza, Gabriel Henrique</au><au>Oliveira Aparecido, Lucas Eduardo</au><au>Lima, Rafael Fausto</au><au>Torsoni, Guilherme Botega</au><au>Chiquitto, Alisson Gaspar</au><au>Moraes, Jose Reinaldo Cabral</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Agroclimatic zoning for bananas under climate change in Brazil</atitle><jtitle>Journal of the science of food and agriculture</jtitle><addtitle>J Sci Food Agric</addtitle><date>2022-11</date><risdate>2022</risdate><volume>102</volume><issue>14</issue><spage>6511</spage><epage>6529</epage><pages>6511-6529</pages><issn>0022-5142</issn><eissn>1097-0010</eissn><abstract>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.</abstract><cop>Chichester, UK</cop><pub>John Wiley & Sons, Ltd</pub><pmid>35567412</pmid><doi>10.1002/jsfa.12018</doi><tpages>19</tpages><orcidid>https://orcid.org/0000-0002-4561-6760</orcidid></addata></record> |
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subjects | Air temperature Annual rainfall Arable land Bananas Clay soils Climate change Climate system crop modeling Cultivation Fruit cultivation fruit growing future climate scenarios Global climate models Intergovernmental Panel on Climate Change IPCC Meteorology Musa spp Rainfall Soil properties Soil temperature Soil texture Texture Zoning |
title | Agroclimatic zoning for bananas under climate change in Brazil |
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