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dc.contributor.author
Rufino, Mariana Cristina
dc.contributor.author
Atzberger, Clement
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Baldi, Germán
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Butterbach Bahl, Klaus
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Rosenstock, Todd S.
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Stern, David
dc.contributor.other
Rosenstock, Todd S.
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Rufino, Mariana Cristina
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Butterbach Bahl, Klaus
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Wollemberg, Lini
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Richards, Meryl
dc.date.available
2020-11-25T17:46:01Z
dc.date.issued
2016
dc.identifier.citation
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
dc.identifier.isbn
9783319297927
dc.identifier.uri
http://hdl.handle.net/11336/118987
dc.description.abstract
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.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Springer
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
NORMALIZE DIFFERENCE VEGETATION INDEX
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GEOGRAPHICAL INFORMATION SYSTEM
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RANDOM FOREST
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CARBON STOCK
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SMALLHOLDER AGRICULTURE
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Geociencias multidisciplinaria
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Ciencias de la Tierra y relacionadas con el Medio Ambiente
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CIENCIAS NATURALES Y EXACTAS
dc.title
Targeting landscapes to identify mitigation options in smallholder agriculture
dc.type
info:eu-repo/semantics/publishedVersion
dc.type
info:eu-repo/semantics/bookPart
dc.type
info:ar-repo/semantics/parte de libro
dc.date.updated
2020-09-03T20:02:22Z
dc.journal.pagination
15-36
dc.journal.pais
Estados Unidos
dc.description.fil
Fil: Rufino, Mariana Cristina. Centre for International Forestry Research Institute; Kenia
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Fil: Atzberger, Clement. University of Natural Resources; Austria
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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
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Fil: Butterbach Bahl, Klaus. International Livestock Research Institute; Kenia
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Fil: Rosenstock, Todd S.. World Agroforestry Centre; Kenia
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Fil: Stern, David. Maseno University; Kenia
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/chapter/10.1007/978-3-319-29794-1_2
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://doi.org/10.1007/978-3-319-29794-1_2
dc.conicet.paginas
203
dc.source.titulo
Methods for measuring greenhouse gas balances and evaluating mitigation options in smallholder agriculture
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