Targeting landscapes to identify mitigation options in smallholder agriculture

Autores
Rufino, Mariana Cristina; Atzberger, Clement; Baldi, Germán; Butterbach Bahl, Klaus; Rosenstock, Todd S.; Stern, David
Año de publicación
2016
Idioma
inglés
Tipo de recurso
parte de libro
Estado
versión publicada
Descripción
This chapter presents a method for targeting landscapes with the objective of assessing mitigation options for smallholder agriculture. It presents alternatives in terms of the degree of detail and complexity of the analysis, to match the requirement of research and development initiatives. We address heterogeneity in land-use decisions that is linked to the agro-ecological characteristics of the landscape and to the social and economic profiles of the land users. We believe that as projects implement this approach, and more data become available, the method will be refined to reduce costs and increase the efficiency and effectiveness of mitigation in smallholder agriculture. The approach is based on the assumption that landscape classifications reflect differences in land productivity and greenhouse gas (GHG) emissions, and can be used to scale up point or field-level measurements. At local level, the diversity of soils and land management can be meaningfully summarized using a suitable typology. Field types reflecting small-scale fertility gradients are correlated to land quality, land productivity and quite likely to GHG emissions. A typology can be a useful tool to connect farmers? fields to landscape units because it represents the inherent quality of the land and human-induced changes, and connects the landscape to the existing socioeconomic profiles of smallholders. The method is explained using a smallholder system from western Kenya as an example.
Fil: Rufino, Mariana Cristina. Centre for International Forestry Research Institute; Kenia
Fil: Atzberger, Clement. University of Natural Resources; Austria
Fil: Baldi, Germán. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Luis. Instituto de Matemática Aplicada de San Luis "Prof. Ezio Marchi". Universidad Nacional de San Luis. Facultad de Ciencias Físico, Matemáticas y Naturales. Instituto de Matemática Aplicada de San Luis "Prof. Ezio Marchi"; Argentina
Fil: Butterbach Bahl, Klaus. International Livestock Research Institute; Kenia
Fil: Rosenstock, Todd S.. World Agroforestry Centre; Kenia
Fil: Stern, David. Maseno University; Kenia
Materia
NORMALIZE DIFFERENCE VEGETATION INDEX
GEOGRAPHICAL INFORMATION SYSTEM
RANDOM FOREST
CARBON STOCK
SMALLHOLDER AGRICULTURE
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/118987
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Targeting landscapes to identify mitigation options in smallholder agricultureRufino, Mariana CristinaAtzberger, ClementBaldi, GermánButterbach Bahl, KlausRosenstock, Todd S.Stern, DavidNORMALIZE DIFFERENCE VEGETATION INDEXGEOGRAPHICAL INFORMATION SYSTEMRANDOM FORESTCARBON STOCKSMALLHOLDER AGRICULTUREhttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1This chapter presents a method for targeting landscapes with the objective of assessing mitigation options for smallholder agriculture. It presents alternatives in terms of the degree of detail and complexity of the analysis, to match the requirement of research and development initiatives. We address heterogeneity in land-use decisions that is linked to the agro-ecological characteristics of the landscape and to the social and economic profiles of the land users. We believe that as projects implement this approach, and more data become available, the method will be refined to reduce costs and increase the efficiency and effectiveness of mitigation in smallholder agriculture. The approach is based on the assumption that landscape classifications reflect differences in land productivity and greenhouse gas (GHG) emissions, and can be used to scale up point or field-level measurements. At local level, the diversity of soils and land management can be meaningfully summarized using a suitable typology. Field types reflecting small-scale fertility gradients are correlated to land quality, land productivity and quite likely to GHG emissions. A typology can be a useful tool to connect farmers? fields to landscape units because it represents the inherent quality of the land and human-induced changes, and connects the landscape to the existing socioeconomic profiles of smallholders. The method is explained using a smallholder system from western Kenya as an example.Fil: Rufino, Mariana Cristina. Centre for International Forestry Research Institute; KeniaFil: Atzberger, Clement. University of Natural Resources; AustriaFil: Baldi, Germán. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Luis. Instituto de Matemática Aplicada de San Luis "Prof. Ezio Marchi". Universidad Nacional de San Luis. Facultad de Ciencias Físico, Matemáticas y Naturales. Instituto de Matemática Aplicada de San Luis "Prof. Ezio Marchi"; ArgentinaFil: Butterbach Bahl, Klaus. International Livestock Research Institute; KeniaFil: Rosenstock, Todd S.. World Agroforestry Centre; KeniaFil: Stern, David. Maseno University; KeniaSpringerRosenstock, Todd S.Rufino, Mariana CristinaButterbach Bahl, KlausWollemberg, LiniRichards, Meryl2016info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/bookParthttp://purl.org/coar/resource_type/c_3248info:ar-repo/semantics/parteDeLibroapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/118987Rufino, Mariana Cristina; Atzberger, Clement; Baldi, Germán; Butterbach Bahl, Klaus; Rosenstock, Todd S.; et al.; Targeting landscapes to identify mitigation options in smallholder agriculture; Springer; 2016; 15-369783319297927CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://link.springer.com/chapter/10.1007/978-3-319-29794-1_2info:eu-repo/semantics/altIdentifier/doi/10.1007/978-3-319-29794-1_2info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T11:33:10Zoai:ri.conicet.gov.ar:11336/118987instacron: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:34982025-10-22 11:33:11.235CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Targeting landscapes to identify mitigation options in smallholder agriculture
title Targeting landscapes to identify mitigation options in smallholder agriculture
spellingShingle Targeting landscapes to identify mitigation options in smallholder agriculture
Rufino, Mariana Cristina
NORMALIZE DIFFERENCE VEGETATION INDEX
GEOGRAPHICAL INFORMATION SYSTEM
RANDOM FOREST
CARBON STOCK
SMALLHOLDER AGRICULTURE
title_short Targeting landscapes to identify mitigation options in smallholder agriculture
title_full Targeting landscapes to identify mitigation options in smallholder agriculture
title_fullStr Targeting landscapes to identify mitigation options in smallholder agriculture
title_full_unstemmed Targeting landscapes to identify mitigation options in smallholder agriculture
title_sort Targeting landscapes to identify mitigation options in smallholder agriculture
dc.creator.none.fl_str_mv Rufino, Mariana Cristina
Atzberger, Clement
Baldi, Germán
Butterbach Bahl, Klaus
Rosenstock, Todd S.
Stern, David
author Rufino, Mariana Cristina
author_facet Rufino, Mariana Cristina
Atzberger, Clement
Baldi, Germán
Butterbach Bahl, Klaus
Rosenstock, Todd S.
Stern, David
author_role author
author2 Atzberger, Clement
Baldi, Germán
Butterbach Bahl, Klaus
Rosenstock, Todd S.
Stern, David
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Rosenstock, Todd S.
Rufino, Mariana Cristina
Butterbach Bahl, Klaus
Wollemberg, Lini
Richards, Meryl
dc.subject.none.fl_str_mv NORMALIZE DIFFERENCE VEGETATION INDEX
GEOGRAPHICAL INFORMATION SYSTEM
RANDOM FOREST
CARBON STOCK
SMALLHOLDER AGRICULTURE
topic NORMALIZE DIFFERENCE VEGETATION INDEX
GEOGRAPHICAL INFORMATION SYSTEM
RANDOM FOREST
CARBON STOCK
SMALLHOLDER AGRICULTURE
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv This chapter presents a method for targeting landscapes with the objective of assessing mitigation options for smallholder agriculture. It presents alternatives in terms of the degree of detail and complexity of the analysis, to match the requirement of research and development initiatives. We address heterogeneity in land-use decisions that is linked to the agro-ecological characteristics of the landscape and to the social and economic profiles of the land users. We believe that as projects implement this approach, and more data become available, the method will be refined to reduce costs and increase the efficiency and effectiveness of mitigation in smallholder agriculture. The approach is based on the assumption that landscape classifications reflect differences in land productivity and greenhouse gas (GHG) emissions, and can be used to scale up point or field-level measurements. At local level, the diversity of soils and land management can be meaningfully summarized using a suitable typology. Field types reflecting small-scale fertility gradients are correlated to land quality, land productivity and quite likely to GHG emissions. A typology can be a useful tool to connect farmers? fields to landscape units because it represents the inherent quality of the land and human-induced changes, and connects the landscape to the existing socioeconomic profiles of smallholders. The method is explained using a smallholder system from western Kenya as an example.
Fil: Rufino, Mariana Cristina. Centre for International Forestry Research Institute; Kenia
Fil: Atzberger, Clement. University of Natural Resources; Austria
Fil: Baldi, Germán. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Luis. Instituto de Matemática Aplicada de San Luis "Prof. Ezio Marchi". Universidad Nacional de San Luis. Facultad de Ciencias Físico, Matemáticas y Naturales. Instituto de Matemática Aplicada de San Luis "Prof. Ezio Marchi"; Argentina
Fil: Butterbach Bahl, Klaus. International Livestock Research Institute; Kenia
Fil: Rosenstock, Todd S.. World Agroforestry Centre; Kenia
Fil: Stern, David. Maseno University; Kenia
description This chapter presents a method for targeting landscapes with the objective of assessing mitigation options for smallholder agriculture. It presents alternatives in terms of the degree of detail and complexity of the analysis, to match the requirement of research and development initiatives. We address heterogeneity in land-use decisions that is linked to the agro-ecological characteristics of the landscape and to the social and economic profiles of the land users. We believe that as projects implement this approach, and more data become available, the method will be refined to reduce costs and increase the efficiency and effectiveness of mitigation in smallholder agriculture. The approach is based on the assumption that landscape classifications reflect differences in land productivity and greenhouse gas (GHG) emissions, and can be used to scale up point or field-level measurements. At local level, the diversity of soils and land management can be meaningfully summarized using a suitable typology. Field types reflecting small-scale fertility gradients are correlated to land quality, land productivity and quite likely to GHG emissions. A typology can be a useful tool to connect farmers? fields to landscape units because it represents the inherent quality of the land and human-induced changes, and connects the landscape to the existing socioeconomic profiles of smallholders. The method is explained using a smallholder system from western Kenya as an example.
publishDate 2016
dc.date.none.fl_str_mv 2016
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/bookPart
http://purl.org/coar/resource_type/c_3248
info:ar-repo/semantics/parteDeLibro
status_str publishedVersion
format bookPart
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/118987
Rufino, Mariana Cristina; Atzberger, Clement; Baldi, Germán; Butterbach Bahl, Klaus; Rosenstock, Todd S.; et al.; Targeting landscapes to identify mitigation options in smallholder agriculture; Springer; 2016; 15-36
9783319297927
CONICET Digital
CONICET
url http://hdl.handle.net/11336/118987
identifier_str_mv Rufino, Mariana Cristina; Atzberger, Clement; Baldi, Germán; Butterbach Bahl, Klaus; Rosenstock, Todd S.; et al.; Targeting landscapes to identify mitigation options in smallholder agriculture; Springer; 2016; 15-36
9783319297927
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://link.springer.com/chapter/10.1007/978-3-319-29794-1_2
info:eu-repo/semantics/altIdentifier/doi/10.1007/978-3-319-29794-1_2
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
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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score 12.982451

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