A mapping approach to assess intangible cultural ecosystem services: The case of agriculture heritage in Southern Chile

Autores
Nahuelhual, Laura; Carmona, A.; Laterra, Pedro; Barrena, José; Aguayo, Mauricio
Año de publicación
2014
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Modeling and mapping of cultural ecosystem services (CES) represents a significant gap in ecosystem service research. A GIS-based methodological framework was developed and applied to map agricultural heritage (AH), understood as a non-divisible combination of three cultural services (dimensions, D): the heritage value associated to a culturally significant species (i.e. Chiloé native potato) (D1); the traditional systems of knowledge of AH keepers (D2); and the social relations among them (D3). The final aim of the study was to provide indicators of the “final” service (AHi, measured in a 0–100 point scale) and its benefits (AHB, measured in US$/ha), capable to display areas where high value farmland was located. In essence, AHi comprised a set of biocultural variables validated and weighted by expert opinion. The experts gave the maximum importance to 5 variables: number of native potato varieties cultivated (D1), use of own seed (D1), form in which cultivation knowledge was acquired by the keeper (D2), exchange of own seed (D3), and number of other potato keepers known (D3). In turn, AHB reflected society's willingness to pay for the nonmaterial benefits of AH conservation. Since these benefits “propagate” across space extending from local to unknown and distant beneficiaries, and the aim was to identify the most valuable areas for their capacity to satisfy a potential demand, AHB was spatialized following the approach of “ascribing” the potential benefits to their “point of provision”. Thus the highest values of AHi coincided with the highest values of AHB (US$10.64–8.64 ha−1) a comprised 5608 ha of the landscape, and similarly the lowest values of AHi matched the lowest values of AHB (US$1.69–0.18 ha−1) comprising 13,070 ha of the landscape.
Fil: Nahuelhual, Laura. Universidad Austral de Chile; Chile. Fundación Centro de los Bosques Nativos ; Chile. Center for Climate and Resilience Research; Chile
Fil: Carmona, A.. Universidad Austral de Chile; Chile. Center for Climate and Resilience Research; Chile
Fil: Laterra, Pedro. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires Sur. Estación Experimental Agropecuaria Balcarce; Argentina. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina
Fil: Barrena, José. Universidad Austral de Chile; Chile. Center for Climate and Resilience Research; Chile
Fil: Aguayo, Mauricio. Universidad de Concepción; Chile
Materia
Cultural Landscapes
Mapping Ecosystem Services
Knowledge Systems
Economic Valuation
Economic Benefits
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/25623

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network_name_str CONICET Digital (CONICET)
spelling A mapping approach to assess intangible cultural ecosystem services: The case of agriculture heritage in Southern ChileNahuelhual, LauraCarmona, A.Laterra, PedroBarrena, JoséAguayo, MauricioCultural LandscapesMapping Ecosystem ServicesKnowledge SystemsEconomic ValuationEconomic BenefitsModeling and mapping of cultural ecosystem services (CES) represents a significant gap in ecosystem service research. A GIS-based methodological framework was developed and applied to map agricultural heritage (AH), understood as a non-divisible combination of three cultural services (dimensions, D): the heritage value associated to a culturally significant species (i.e. Chiloé native potato) (D1); the traditional systems of knowledge of AH keepers (D2); and the social relations among them (D3). The final aim of the study was to provide indicators of the “final” service (AHi, measured in a 0–100 point scale) and its benefits (AHB, measured in US$/ha), capable to display areas where high value farmland was located. In essence, AHi comprised a set of biocultural variables validated and weighted by expert opinion. The experts gave the maximum importance to 5 variables: number of native potato varieties cultivated (D1), use of own seed (D1), form in which cultivation knowledge was acquired by the keeper (D2), exchange of own seed (D3), and number of other potato keepers known (D3). In turn, AHB reflected society's willingness to pay for the nonmaterial benefits of AH conservation. Since these benefits “propagate” across space extending from local to unknown and distant beneficiaries, and the aim was to identify the most valuable areas for their capacity to satisfy a potential demand, AHB was spatialized following the approach of “ascribing” the potential benefits to their “point of provision”. Thus the highest values of AHi coincided with the highest values of AHB (US$10.64–8.64 ha−1) a comprised 5608 ha of the landscape, and similarly the lowest values of AHi matched the lowest values of AHB (US$1.69–0.18 ha−1) comprising 13,070 ha of the landscape.Fil: Nahuelhual, Laura. Universidad Austral de Chile; Chile. Fundación Centro de los Bosques Nativos ; Chile. Center for Climate and Resilience Research; ChileFil: Carmona, A.. Universidad Austral de Chile; Chile. Center for Climate and Resilience Research; ChileFil: Laterra, Pedro. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires Sur. Estación Experimental Agropecuaria Balcarce; Argentina. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; ArgentinaFil: Barrena, José. Universidad Austral de Chile; Chile. Center for Climate and Resilience Research; ChileFil: Aguayo, Mauricio. Universidad de Concepción; ChileElsevier Science2014-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/25623Nahuelhual, Laura; Carmona, A.; Laterra, Pedro; Barrena, José; Aguayo, Mauricio; A mapping approach to assess intangible cultural ecosystem services: The case of agriculture heritage in Southern Chile; Elsevier Science; Ecological Indicators; 40; 1-2014; 90-1011470-160XCONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S1470160X14000077info:eu-repo/semantics/altIdentifier/doi/10.1016/j.ecolind.2014.01.005info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:34:47Zoai:ri.conicet.gov.ar:11336/25623instacron: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 10:34:47.594CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv A mapping approach to assess intangible cultural ecosystem services: The case of agriculture heritage in Southern Chile
title A mapping approach to assess intangible cultural ecosystem services: The case of agriculture heritage in Southern Chile
spellingShingle A mapping approach to assess intangible cultural ecosystem services: The case of agriculture heritage in Southern Chile
Nahuelhual, Laura
Cultural Landscapes
Mapping Ecosystem Services
Knowledge Systems
Economic Valuation
Economic Benefits
title_short A mapping approach to assess intangible cultural ecosystem services: The case of agriculture heritage in Southern Chile
title_full A mapping approach to assess intangible cultural ecosystem services: The case of agriculture heritage in Southern Chile
title_fullStr A mapping approach to assess intangible cultural ecosystem services: The case of agriculture heritage in Southern Chile
title_full_unstemmed A mapping approach to assess intangible cultural ecosystem services: The case of agriculture heritage in Southern Chile
title_sort A mapping approach to assess intangible cultural ecosystem services: The case of agriculture heritage in Southern Chile
dc.creator.none.fl_str_mv Nahuelhual, Laura
Carmona, A.
Laterra, Pedro
Barrena, José
Aguayo, Mauricio
author Nahuelhual, Laura
author_facet Nahuelhual, Laura
Carmona, A.
Laterra, Pedro
Barrena, José
Aguayo, Mauricio
author_role author
author2 Carmona, A.
Laterra, Pedro
Barrena, José
Aguayo, Mauricio
author2_role author
author
author
author
dc.subject.none.fl_str_mv Cultural Landscapes
Mapping Ecosystem Services
Knowledge Systems
Economic Valuation
Economic Benefits
topic Cultural Landscapes
Mapping Ecosystem Services
Knowledge Systems
Economic Valuation
Economic Benefits
dc.description.none.fl_txt_mv Modeling and mapping of cultural ecosystem services (CES) represents a significant gap in ecosystem service research. A GIS-based methodological framework was developed and applied to map agricultural heritage (AH), understood as a non-divisible combination of three cultural services (dimensions, D): the heritage value associated to a culturally significant species (i.e. Chiloé native potato) (D1); the traditional systems of knowledge of AH keepers (D2); and the social relations among them (D3). The final aim of the study was to provide indicators of the “final” service (AHi, measured in a 0–100 point scale) and its benefits (AHB, measured in US$/ha), capable to display areas where high value farmland was located. In essence, AHi comprised a set of biocultural variables validated and weighted by expert opinion. The experts gave the maximum importance to 5 variables: number of native potato varieties cultivated (D1), use of own seed (D1), form in which cultivation knowledge was acquired by the keeper (D2), exchange of own seed (D3), and number of other potato keepers known (D3). In turn, AHB reflected society's willingness to pay for the nonmaterial benefits of AH conservation. Since these benefits “propagate” across space extending from local to unknown and distant beneficiaries, and the aim was to identify the most valuable areas for their capacity to satisfy a potential demand, AHB was spatialized following the approach of “ascribing” the potential benefits to their “point of provision”. Thus the highest values of AHi coincided with the highest values of AHB (US$10.64–8.64 ha−1) a comprised 5608 ha of the landscape, and similarly the lowest values of AHi matched the lowest values of AHB (US$1.69–0.18 ha−1) comprising 13,070 ha of the landscape.
Fil: Nahuelhual, Laura. Universidad Austral de Chile; Chile. Fundación Centro de los Bosques Nativos ; Chile. Center for Climate and Resilience Research; Chile
Fil: Carmona, A.. Universidad Austral de Chile; Chile. Center for Climate and Resilience Research; Chile
Fil: Laterra, Pedro. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires Sur. Estación Experimental Agropecuaria Balcarce; Argentina. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina
Fil: Barrena, José. Universidad Austral de Chile; Chile. Center for Climate and Resilience Research; Chile
Fil: Aguayo, Mauricio. Universidad de Concepción; Chile
description Modeling and mapping of cultural ecosystem services (CES) represents a significant gap in ecosystem service research. A GIS-based methodological framework was developed and applied to map agricultural heritage (AH), understood as a non-divisible combination of three cultural services (dimensions, D): the heritage value associated to a culturally significant species (i.e. Chiloé native potato) (D1); the traditional systems of knowledge of AH keepers (D2); and the social relations among them (D3). The final aim of the study was to provide indicators of the “final” service (AHi, measured in a 0–100 point scale) and its benefits (AHB, measured in US$/ha), capable to display areas where high value farmland was located. In essence, AHi comprised a set of biocultural variables validated and weighted by expert opinion. The experts gave the maximum importance to 5 variables: number of native potato varieties cultivated (D1), use of own seed (D1), form in which cultivation knowledge was acquired by the keeper (D2), exchange of own seed (D3), and number of other potato keepers known (D3). In turn, AHB reflected society's willingness to pay for the nonmaterial benefits of AH conservation. Since these benefits “propagate” across space extending from local to unknown and distant beneficiaries, and the aim was to identify the most valuable areas for their capacity to satisfy a potential demand, AHB was spatialized following the approach of “ascribing” the potential benefits to their “point of provision”. Thus the highest values of AHi coincided with the highest values of AHB (US$10.64–8.64 ha−1) a comprised 5608 ha of the landscape, and similarly the lowest values of AHi matched the lowest values of AHB (US$1.69–0.18 ha−1) comprising 13,070 ha of the landscape.
publishDate 2014
dc.date.none.fl_str_mv 2014-01
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/11336/25623
Nahuelhual, Laura; Carmona, A.; Laterra, Pedro; Barrena, José; Aguayo, Mauricio; A mapping approach to assess intangible cultural ecosystem services: The case of agriculture heritage in Southern Chile; Elsevier Science; Ecological Indicators; 40; 1-2014; 90-101
1470-160X
CONICET Digital
CONICET
url http://hdl.handle.net/11336/25623
identifier_str_mv Nahuelhual, Laura; Carmona, A.; Laterra, Pedro; Barrena, José; Aguayo, Mauricio; A mapping approach to assess intangible cultural ecosystem services: The case of agriculture heritage in Southern Chile; Elsevier Science; Ecological Indicators; 40; 1-2014; 90-101
1470-160X
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S1470160X14000077
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.ecolind.2014.01.005
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier Science
publisher.none.fl_str_mv Elsevier Science
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
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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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