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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/118987
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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 Técnicas2025-09-29T10:03:24Zoai: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:34982025-09-29 10:03:24.821CONICET 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 |
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CONICET Digital (CONICET) |
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CONICET Digital (CONICET) |
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Consejo Nacional de Investigaciones Científicas y Técnicas |
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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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1844613849697746944 |
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13.070432 |