Crop rotations in the Rolling Pampas: characterization, spatial pattern and its potential controls

Autores
De Abelleyra, Diego; Veron, Santiago Ramón
Año de publicación
2020
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
One of the most important decisions made by farmers every year involves land allocation to different crops. Accurate information on crop sequences over large areas is a key prerequisite to address social concerns as soybean monoculture, to map good agronomic practices and to assess farmers’ adaptive capacity among others. Here we aimed to characterize crop sequences and describe the crop rotation patterns in an area of the Rolling Pampas in Argentina. We performed annual supervised classifications for the 2010/2011 to 2016/2017 growing seasons using high resolution satellite images and in situ data. Classification’s accuracies were always higher than 85%. Analysis of crop sequences showed that the most common practice was alternating periods of continuous planting of early soybean with periods where maize and/or wheat were included in the rotation. In addition, during the period analyzed nearly 10% of the study area exhibited continuous soybean monoculture, and 6% of the area showed a strict crop rotation of maize, soybean, and wheat-soybean double crop. Changes in early soybean planted area were significantly associated (p < 0.1) to its previous year’s international price, and were probably affected by political economy regulations. The inclusion of maize or wheat in the rotation was more frequently observed at larger cadastral units, while soybean monoculture was more frequent in smaller cadastral units. This suggests that farmers’ capitalization may be associated to different crop rotation decisions through a different long term planning capacity.
Instituto de Clima y Agua
Fil: Abelleyra, Diego. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina
Fil: Verón, Santiago Ramón. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina
Fuente
Remote sensing applications: Society and environmental 18 : 100320. (April 2020)
Materia
Monoculture
Crops
Sequence Analysis
Soybeans
Spatial Analysis
Monocultivo
Cultivos
Análisis de Secuencias
Soja
Análisis Espacial
Nivel de accesibilidad
acceso restringido
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
INTA Digital (INTA)
Institución
Instituto Nacional de Tecnología Agropecuaria
OAI Identificador
oai:localhost:20.500.12123/15694
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spelling Crop rotations in the Rolling Pampas: characterization, spatial pattern and its potential controlsDe Abelleyra, DiegoVeron, Santiago RamónMonocultureCropsSequence AnalysisSoybeansSpatial AnalysisMonocultivoCultivosAnálisis de SecuenciasSojaAnálisis EspacialOne of the most important decisions made by farmers every year involves land allocation to different crops. Accurate information on crop sequences over large areas is a key prerequisite to address social concerns as soybean monoculture, to map good agronomic practices and to assess farmers’ adaptive capacity among others. Here we aimed to characterize crop sequences and describe the crop rotation patterns in an area of the Rolling Pampas in Argentina. We performed annual supervised classifications for the 2010/2011 to 2016/2017 growing seasons using high resolution satellite images and in situ data. Classification’s accuracies were always higher than 85%. Analysis of crop sequences showed that the most common practice was alternating periods of continuous planting of early soybean with periods where maize and/or wheat were included in the rotation. In addition, during the period analyzed nearly 10% of the study area exhibited continuous soybean monoculture, and 6% of the area showed a strict crop rotation of maize, soybean, and wheat-soybean double crop. Changes in early soybean planted area were significantly associated (p < 0.1) to its previous year’s international price, and were probably affected by political economy regulations. The inclusion of maize or wheat in the rotation was more frequently observed at larger cadastral units, while soybean monoculture was more frequent in smaller cadastral units. This suggests that farmers’ capitalization may be associated to different crop rotation decisions through a different long term planning capacity.Instituto de Clima y AguaFil: Abelleyra, Diego. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; ArgentinaFil: Verón, Santiago Ramón. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; ArgentinaElsevier2023-10-26T14:24:35Z2023-10-26T14:24:35Z2020-04-30info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/15694https://www.sciencedirect.com/science/article/pii/S23529385193045252352-9385https://doi.org/10.1016/j.rsase.2020.100320Remote sensing applications: Society and environmental 18 : 100320. (April 2020)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repograntAgreement/INTA/PNNAT-1128032/AR./Dinámica territorial del uso y cobertura del suelo de la República Argentina.info:eu-repograntAgreement/INTA/PNNAT-1128024/AR./Evaluación y seguimiento satelital del cambio global.info:eu-repo/semantics/restrictedAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)2025-10-23T11:18:32Zoai:localhost:20.500.12123/15694instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-10-23 11:18:33.168INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
dc.title.none.fl_str_mv Crop rotations in the Rolling Pampas: characterization, spatial pattern and its potential controls
title Crop rotations in the Rolling Pampas: characterization, spatial pattern and its potential controls
spellingShingle Crop rotations in the Rolling Pampas: characterization, spatial pattern and its potential controls
De Abelleyra, Diego
Monoculture
Crops
Sequence Analysis
Soybeans
Spatial Analysis
Monocultivo
Cultivos
Análisis de Secuencias
Soja
Análisis Espacial
title_short Crop rotations in the Rolling Pampas: characterization, spatial pattern and its potential controls
title_full Crop rotations in the Rolling Pampas: characterization, spatial pattern and its potential controls
title_fullStr Crop rotations in the Rolling Pampas: characterization, spatial pattern and its potential controls
title_full_unstemmed Crop rotations in the Rolling Pampas: characterization, spatial pattern and its potential controls
title_sort Crop rotations in the Rolling Pampas: characterization, spatial pattern and its potential controls
dc.creator.none.fl_str_mv De Abelleyra, Diego
Veron, Santiago Ramón
author De Abelleyra, Diego
author_facet De Abelleyra, Diego
Veron, Santiago Ramón
author_role author
author2 Veron, Santiago Ramón
author2_role author
dc.subject.none.fl_str_mv Monoculture
Crops
Sequence Analysis
Soybeans
Spatial Analysis
Monocultivo
Cultivos
Análisis de Secuencias
Soja
Análisis Espacial
topic Monoculture
Crops
Sequence Analysis
Soybeans
Spatial Analysis
Monocultivo
Cultivos
Análisis de Secuencias
Soja
Análisis Espacial
dc.description.none.fl_txt_mv One of the most important decisions made by farmers every year involves land allocation to different crops. Accurate information on crop sequences over large areas is a key prerequisite to address social concerns as soybean monoculture, to map good agronomic practices and to assess farmers’ adaptive capacity among others. Here we aimed to characterize crop sequences and describe the crop rotation patterns in an area of the Rolling Pampas in Argentina. We performed annual supervised classifications for the 2010/2011 to 2016/2017 growing seasons using high resolution satellite images and in situ data. Classification’s accuracies were always higher than 85%. Analysis of crop sequences showed that the most common practice was alternating periods of continuous planting of early soybean with periods where maize and/or wheat were included in the rotation. In addition, during the period analyzed nearly 10% of the study area exhibited continuous soybean monoculture, and 6% of the area showed a strict crop rotation of maize, soybean, and wheat-soybean double crop. Changes in early soybean planted area were significantly associated (p < 0.1) to its previous year’s international price, and were probably affected by political economy regulations. The inclusion of maize or wheat in the rotation was more frequently observed at larger cadastral units, while soybean monoculture was more frequent in smaller cadastral units. This suggests that farmers’ capitalization may be associated to different crop rotation decisions through a different long term planning capacity.
Instituto de Clima y Agua
Fil: Abelleyra, Diego. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina
Fil: Verón, Santiago Ramón. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina
description One of the most important decisions made by farmers every year involves land allocation to different crops. Accurate information on crop sequences over large areas is a key prerequisite to address social concerns as soybean monoculture, to map good agronomic practices and to assess farmers’ adaptive capacity among others. Here we aimed to characterize crop sequences and describe the crop rotation patterns in an area of the Rolling Pampas in Argentina. We performed annual supervised classifications for the 2010/2011 to 2016/2017 growing seasons using high resolution satellite images and in situ data. Classification’s accuracies were always higher than 85%. Analysis of crop sequences showed that the most common practice was alternating periods of continuous planting of early soybean with periods where maize and/or wheat were included in the rotation. In addition, during the period analyzed nearly 10% of the study area exhibited continuous soybean monoculture, and 6% of the area showed a strict crop rotation of maize, soybean, and wheat-soybean double crop. Changes in early soybean planted area were significantly associated (p < 0.1) to its previous year’s international price, and were probably affected by political economy regulations. The inclusion of maize or wheat in the rotation was more frequently observed at larger cadastral units, while soybean monoculture was more frequent in smaller cadastral units. This suggests that farmers’ capitalization may be associated to different crop rotation decisions through a different long term planning capacity.
publishDate 2020
dc.date.none.fl_str_mv 2020-04-30
2023-10-26T14:24:35Z
2023-10-26T14:24:35Z
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/20.500.12123/15694
https://www.sciencedirect.com/science/article/pii/S2352938519304525
2352-9385
https://doi.org/10.1016/j.rsase.2020.100320
url http://hdl.handle.net/20.500.12123/15694
https://www.sciencedirect.com/science/article/pii/S2352938519304525
https://doi.org/10.1016/j.rsase.2020.100320
identifier_str_mv 2352-9385
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repograntAgreement/INTA/PNNAT-1128032/AR./Dinámica territorial del uso y cobertura del suelo de la República Argentina.
info:eu-repograntAgreement/INTA/PNNAT-1128024/AR./Evaluación y seguimiento satelital del cambio global.
dc.rights.none.fl_str_mv info:eu-repo/semantics/restrictedAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv restrictedAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv Remote sensing applications: Society and environmental 18 : 100320. (April 2020)
reponame:INTA Digital (INTA)
instname:Instituto Nacional de Tecnología Agropecuaria
reponame_str INTA Digital (INTA)
collection INTA Digital (INTA)
instname_str Instituto Nacional de Tecnología Agropecuaria
repository.name.fl_str_mv INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuaria
repository.mail.fl_str_mv tripaldi.nicolas@inta.gob.ar
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score 12.982451

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