Ethnographic context and spatial coherence of climate indicators for farming communities - a multi-regional comparative assessment

Autores
Moron Vincent; Boyard-Micheau Joseph; Camberlin Pierre; Hernandez, Valeria Alicia; Leclerc, Christian; Mwongera, Caroline; Philippon, Nathalie; Fossa Riglos, María Florencia; Sultan, Benjamin
Año de publicación
2015
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Accurate seasonal predictions of rainfall may reduce climatic risks that farmers are usually faced with across the tropical and subtropical zones. However, although regional-scale seasonal amounts have regularly been forecasted since 1997/98, the practical use of these seasonal predictions is still limited by myriad factors. This paper synthesizes the main resultsof a multi-disciplinary ethnographic and climatic project (PICREVAT). Its main objective was to seek the climatic information ? beyond the seasonal amounts ? critical for crops, both as an actual constraint to crop yields and as identified by the current and past practices and perceptions of farmers. A second goal was to confront the relevance and signifiCance of this climatic information with its spatial coherence, which gives an upper bound of its potential predictability. The ethnographic and climatic analyses were carried out on three very different fields: North Cameroon (mixed food crops associated with a cash crop ? cotton ? integrated into a national program); Eastern slopes of Mt Kenya (mixed food crops, with a recent development of maize at the expense of sorghum and pearl millet);and Central Argentina (mixed crops and livestock recently converting to monoculture of transgenic soybean, referred to as soybeanization).The ethnographic surveys, as well as yield?climate functions, emphasized the role played by various intra-seasonal characteristics of the rainy seasons beyond the seasonal rainfall amounts, in both actual yields and people?s representations and/or crop management strategies. For instance, the onset of the rainy season in East Africa and North Cameroon, the season duration in the driest district of the eastern slopes of Mount Kenya, or rains at the core (August) and at the end of the rainy season in North Cameroon have been high lighted. The dynamics of farming systems (i.e. soybeanization in Central Argentina, increas-ing popularity of maize in East Africa, recent decline of cotton in North Cameroon) were also emphasized as active drivers; these slow changes could increase climatic vulnerability (i.e. soybean is far more sensitive to rainfall variations than wheat, maize is less droughtresistant than sorghum or millet), at least for the least flexible actors (such as the non-capitalized farmers in Central Argentina). The cross between ethnographic surveys and climatic analyses enabled us to identify climate variables that are both useful to farmers and potentially predictable. These variables do not appear to be common across the surveyedfields. The best example is the rainy season onset date whose variations, depending on regions, crop species and farming practices may either have a major/minor role in crop performance and/or crop management, or may have a high/low potential predictability.
Fil: Moron Vincent. Columbia University; Estados Unidos. Aix-Marseille University; Francia
Fil: Boyard-Micheau Joseph. Universite de Bourgogne; Francia
Fil: Camberlin Pierre. Universite de Bourgogne; Francia
Fil: Hernandez, Valeria Alicia. Universidad Nacional de San Martín. Instituto de Altos Estudios Sociales; Argentina. Université Paris Diderot - Paris 7; Francia
Fil: Leclerc, Christian. No especifíca;
Fil: Mwongera, Caroline. No especifíca;
Fil: Philippon, Nathalie. Universite de Bourgogne; Francia
Fil: Fossa Riglos, María Florencia. Universidad Nacional de San Martín; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Sultan, Benjamin. Sorbonne University; Francia
Materia
SEASONAL PREDICTION
TROPICAL RAINFALL
REGIONAL SCALE
CROP SYSTEMS
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/110654

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network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Ethnographic context and spatial coherence of climate indicators for farming communities - a multi-regional comparative assessmentMoron VincentBoyard-Micheau JosephCamberlin PierreHernandez, Valeria AliciaLeclerc, ChristianMwongera, CarolinePhilippon, NathalieFossa Riglos, María FlorenciaSultan, BenjaminSEASONAL PREDICTIONTROPICAL RAINFALLREGIONAL SCALECROP SYSTEMShttps://purl.org/becyt/ford/5.4https://purl.org/becyt/ford/5Accurate seasonal predictions of rainfall may reduce climatic risks that farmers are usually faced with across the tropical and subtropical zones. However, although regional-scale seasonal amounts have regularly been forecasted since 1997/98, the practical use of these seasonal predictions is still limited by myriad factors. This paper synthesizes the main resultsof a multi-disciplinary ethnographic and climatic project (PICREVAT). Its main objective was to seek the climatic information ? beyond the seasonal amounts ? critical for crops, both as an actual constraint to crop yields and as identified by the current and past practices and perceptions of farmers. A second goal was to confront the relevance and signifiCance of this climatic information with its spatial coherence, which gives an upper bound of its potential predictability. The ethnographic and climatic analyses were carried out on three very different fields: North Cameroon (mixed food crops associated with a cash crop ? cotton ? integrated into a national program); Eastern slopes of Mt Kenya (mixed food crops, with a recent development of maize at the expense of sorghum and pearl millet);and Central Argentina (mixed crops and livestock recently converting to monoculture of transgenic soybean, referred to as soybeanization).The ethnographic surveys, as well as yield?climate functions, emphasized the role played by various intra-seasonal characteristics of the rainy seasons beyond the seasonal rainfall amounts, in both actual yields and people?s representations and/or crop management strategies. For instance, the onset of the rainy season in East Africa and North Cameroon, the season duration in the driest district of the eastern slopes of Mount Kenya, or rains at the core (August) and at the end of the rainy season in North Cameroon have been high lighted. The dynamics of farming systems (i.e. soybeanization in Central Argentina, increas-ing popularity of maize in East Africa, recent decline of cotton in North Cameroon) were also emphasized as active drivers; these slow changes could increase climatic vulnerability (i.e. soybean is far more sensitive to rainfall variations than wheat, maize is less droughtresistant than sorghum or millet), at least for the least flexible actors (such as the non-capitalized farmers in Central Argentina). The cross between ethnographic surveys and climatic analyses enabled us to identify climate variables that are both useful to farmers and potentially predictable. These variables do not appear to be common across the surveyedfields. The best example is the rainy season onset date whose variations, depending on regions, crop species and farming practices may either have a major/minor role in crop performance and/or crop management, or may have a high/low potential predictability.Fil: Moron Vincent. Columbia University; Estados Unidos. Aix-Marseille University; FranciaFil: Boyard-Micheau Joseph. Universite de Bourgogne; FranciaFil: Camberlin Pierre. Universite de Bourgogne; FranciaFil: Hernandez, Valeria Alicia. Universidad Nacional de San Martín. Instituto de Altos Estudios Sociales; Argentina. Université Paris Diderot - Paris 7; FranciaFil: Leclerc, Christian. No especifíca;Fil: Mwongera, Caroline. No especifíca;Fil: Philippon, Nathalie. Universite de Bourgogne; FranciaFil: Fossa Riglos, María Florencia. Universidad Nacional de San Martín; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Sultan, Benjamin. Sorbonne University; FranciaElsevier2015-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/110654Moron Vincent; Boyard-Micheau Joseph; Camberlin Pierre; Hernandez, Valeria Alicia; Leclerc, Christian; et al.; Ethnographic context and spatial coherence of climate indicators for farming communities - a multi-regional comparative assessment; Elsevier; Climate Risk Management; 8; 4-2015; 28-462212-0963CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S221209631500008Xinfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.crm.2015.03.001info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:36:04Zoai:ri.conicet.gov.ar:11336/110654instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:36:05.08CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Ethnographic context and spatial coherence of climate indicators for farming communities - a multi-regional comparative assessment
title Ethnographic context and spatial coherence of climate indicators for farming communities - a multi-regional comparative assessment
spellingShingle Ethnographic context and spatial coherence of climate indicators for farming communities - a multi-regional comparative assessment
Moron Vincent
SEASONAL PREDICTION
TROPICAL RAINFALL
REGIONAL SCALE
CROP SYSTEMS
title_short Ethnographic context and spatial coherence of climate indicators for farming communities - a multi-regional comparative assessment
title_full Ethnographic context and spatial coherence of climate indicators for farming communities - a multi-regional comparative assessment
title_fullStr Ethnographic context and spatial coherence of climate indicators for farming communities - a multi-regional comparative assessment
title_full_unstemmed Ethnographic context and spatial coherence of climate indicators for farming communities - a multi-regional comparative assessment
title_sort Ethnographic context and spatial coherence of climate indicators for farming communities - a multi-regional comparative assessment
dc.creator.none.fl_str_mv Moron Vincent
Boyard-Micheau Joseph
Camberlin Pierre
Hernandez, Valeria Alicia
Leclerc, Christian
Mwongera, Caroline
Philippon, Nathalie
Fossa Riglos, María Florencia
Sultan, Benjamin
author Moron Vincent
author_facet Moron Vincent
Boyard-Micheau Joseph
Camberlin Pierre
Hernandez, Valeria Alicia
Leclerc, Christian
Mwongera, Caroline
Philippon, Nathalie
Fossa Riglos, María Florencia
Sultan, Benjamin
author_role author
author2 Boyard-Micheau Joseph
Camberlin Pierre
Hernandez, Valeria Alicia
Leclerc, Christian
Mwongera, Caroline
Philippon, Nathalie
Fossa Riglos, María Florencia
Sultan, Benjamin
author2_role author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv SEASONAL PREDICTION
TROPICAL RAINFALL
REGIONAL SCALE
CROP SYSTEMS
topic SEASONAL PREDICTION
TROPICAL RAINFALL
REGIONAL SCALE
CROP SYSTEMS
purl_subject.fl_str_mv https://purl.org/becyt/ford/5.4
https://purl.org/becyt/ford/5
dc.description.none.fl_txt_mv Accurate seasonal predictions of rainfall may reduce climatic risks that farmers are usually faced with across the tropical and subtropical zones. However, although regional-scale seasonal amounts have regularly been forecasted since 1997/98, the practical use of these seasonal predictions is still limited by myriad factors. This paper synthesizes the main resultsof a multi-disciplinary ethnographic and climatic project (PICREVAT). Its main objective was to seek the climatic information ? beyond the seasonal amounts ? critical for crops, both as an actual constraint to crop yields and as identified by the current and past practices and perceptions of farmers. A second goal was to confront the relevance and signifiCance of this climatic information with its spatial coherence, which gives an upper bound of its potential predictability. The ethnographic and climatic analyses were carried out on three very different fields: North Cameroon (mixed food crops associated with a cash crop ? cotton ? integrated into a national program); Eastern slopes of Mt Kenya (mixed food crops, with a recent development of maize at the expense of sorghum and pearl millet);and Central Argentina (mixed crops and livestock recently converting to monoculture of transgenic soybean, referred to as soybeanization).The ethnographic surveys, as well as yield?climate functions, emphasized the role played by various intra-seasonal characteristics of the rainy seasons beyond the seasonal rainfall amounts, in both actual yields and people?s representations and/or crop management strategies. For instance, the onset of the rainy season in East Africa and North Cameroon, the season duration in the driest district of the eastern slopes of Mount Kenya, or rains at the core (August) and at the end of the rainy season in North Cameroon have been high lighted. The dynamics of farming systems (i.e. soybeanization in Central Argentina, increas-ing popularity of maize in East Africa, recent decline of cotton in North Cameroon) were also emphasized as active drivers; these slow changes could increase climatic vulnerability (i.e. soybean is far more sensitive to rainfall variations than wheat, maize is less droughtresistant than sorghum or millet), at least for the least flexible actors (such as the non-capitalized farmers in Central Argentina). The cross between ethnographic surveys and climatic analyses enabled us to identify climate variables that are both useful to farmers and potentially predictable. These variables do not appear to be common across the surveyedfields. The best example is the rainy season onset date whose variations, depending on regions, crop species and farming practices may either have a major/minor role in crop performance and/or crop management, or may have a high/low potential predictability.
Fil: Moron Vincent. Columbia University; Estados Unidos. Aix-Marseille University; Francia
Fil: Boyard-Micheau Joseph. Universite de Bourgogne; Francia
Fil: Camberlin Pierre. Universite de Bourgogne; Francia
Fil: Hernandez, Valeria Alicia. Universidad Nacional de San Martín. Instituto de Altos Estudios Sociales; Argentina. Université Paris Diderot - Paris 7; Francia
Fil: Leclerc, Christian. No especifíca;
Fil: Mwongera, Caroline. No especifíca;
Fil: Philippon, Nathalie. Universite de Bourgogne; Francia
Fil: Fossa Riglos, María Florencia. Universidad Nacional de San Martín; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Sultan, Benjamin. Sorbonne University; Francia
description Accurate seasonal predictions of rainfall may reduce climatic risks that farmers are usually faced with across the tropical and subtropical zones. However, although regional-scale seasonal amounts have regularly been forecasted since 1997/98, the practical use of these seasonal predictions is still limited by myriad factors. This paper synthesizes the main resultsof a multi-disciplinary ethnographic and climatic project (PICREVAT). Its main objective was to seek the climatic information ? beyond the seasonal amounts ? critical for crops, both as an actual constraint to crop yields and as identified by the current and past practices and perceptions of farmers. A second goal was to confront the relevance and signifiCance of this climatic information with its spatial coherence, which gives an upper bound of its potential predictability. The ethnographic and climatic analyses were carried out on three very different fields: North Cameroon (mixed food crops associated with a cash crop ? cotton ? integrated into a national program); Eastern slopes of Mt Kenya (mixed food crops, with a recent development of maize at the expense of sorghum and pearl millet);and Central Argentina (mixed crops and livestock recently converting to monoculture of transgenic soybean, referred to as soybeanization).The ethnographic surveys, as well as yield?climate functions, emphasized the role played by various intra-seasonal characteristics of the rainy seasons beyond the seasonal rainfall amounts, in both actual yields and people?s representations and/or crop management strategies. For instance, the onset of the rainy season in East Africa and North Cameroon, the season duration in the driest district of the eastern slopes of Mount Kenya, or rains at the core (August) and at the end of the rainy season in North Cameroon have been high lighted. The dynamics of farming systems (i.e. soybeanization in Central Argentina, increas-ing popularity of maize in East Africa, recent decline of cotton in North Cameroon) were also emphasized as active drivers; these slow changes could increase climatic vulnerability (i.e. soybean is far more sensitive to rainfall variations than wheat, maize is less droughtresistant than sorghum or millet), at least for the least flexible actors (such as the non-capitalized farmers in Central Argentina). The cross between ethnographic surveys and climatic analyses enabled us to identify climate variables that are both useful to farmers and potentially predictable. These variables do not appear to be common across the surveyedfields. The best example is the rainy season onset date whose variations, depending on regions, crop species and farming practices may either have a major/minor role in crop performance and/or crop management, or may have a high/low potential predictability.
publishDate 2015
dc.date.none.fl_str_mv 2015-04
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/11336/110654
Moron Vincent; Boyard-Micheau Joseph; Camberlin Pierre; Hernandez, Valeria Alicia; Leclerc, Christian; et al.; Ethnographic context and spatial coherence of climate indicators for farming communities - a multi-regional comparative assessment; Elsevier; Climate Risk Management; 8; 4-2015; 28-46
2212-0963
CONICET Digital
CONICET
url http://hdl.handle.net/11336/110654
identifier_str_mv Moron Vincent; Boyard-Micheau Joseph; Camberlin Pierre; Hernandez, Valeria Alicia; Leclerc, Christian; et al.; Ethnographic context and spatial coherence of climate indicators for farming communities - a multi-regional comparative assessment; Elsevier; Climate Risk Management; 8; 4-2015; 28-46
2212-0963
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S221209631500008X
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.crm.2015.03.001
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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