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

•A procedure for mapping the flow and economic benefits of cultural ecosystem services was proposed.•The procedure was applied to cope with intangible elements of an agricultural heritage (AH) case.•AH indicators relied on culturally significant species, knowledge systems, and social relationships.•...

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Veröffentlicht in:Ecological indicators Jg. 40; S. 90 - 101
Hauptverfasser: Nahuelhual, L., Carmona, A., Laterra, P., Barrena, J., Aguayo, M.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Amsterdam Elsevier Ltd 01.05.2014
Elsevier
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ISSN:1470-160X, 1872-7034
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Abstract •A procedure for mapping the flow and economic benefits of cultural ecosystem services was proposed.•The procedure was applied to cope with intangible elements of an agricultural heritage (AH) case.•AH indicators relied on culturally significant species, knowledge systems, and social relationships.•Benefits mapped at their point of provision allowed for identification of areas with high AH value. 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$10.64–8.64ha−1) a comprised 5608ha of the landscape, and similarly the lowest values of AHi matched the lowest values of AHB (US$1.69–0.18ha−1) comprising 13,070ha of the landscape.
AbstractList •A procedure for mapping the flow and economic benefits of cultural ecosystem services was proposed.•The procedure was applied to cope with intangible elements of an agricultural heritage (AH) case.•AH indicators relied on culturally significant species, knowledge systems, and social relationships.•Benefits mapped at their point of provision allowed for identification of areas with high AH value. Modeling and mapping of cultural ecosystem services (CES) represents a significant gap in ecosystem service research. A GIS-based methodological framework was developed and applied to map agricultural heritage (AH), understood as a non-divisible combination of three cultural services (dimensions, D): the heritage value associated to a culturally significant species (i.e. Chiloé native potato) (D1); the traditional systems of knowledge of AH keepers (D2); and the social relations among them (D3). The final aim of the study was to provide indicators of the “final” service (AHi, measured in a 0–100 point scale) and its benefits (AHB, measured in US$/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$10.64–8.64ha−1) a comprised 5608ha of the landscape, and similarly the lowest values of AHi matched the lowest values of AHB (US$1.69–0.18ha−1) comprising 13,070ha of the landscape.
Modeling and mapping of cultural ecosystem services (CES) represents a significant gap in ecosystem service research. A GIS-based methodological framework was developed and applied to map agricultural heritage (AH), understood as a non-divisible combination of three cultural services (dimensions, D): the heritage value associated to a culturally significant species (i.e. Chiloé native potato) (D1); the traditional systems of knowledge of AH keepers (D2); and the social relations among them (D3). The final aim of the study was to provide indicators of the “final” service (AHi, measured in a 0–100 point scale) and its benefits (AHB, measured in US$/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$10.64–8.64ha−1) a comprised 5608ha of the landscape, and similarly the lowest values of AHi matched the lowest values of AHB (US$1.69–0.18ha−1) comprising 13,070ha of the landscape.
Author Laterra, P.
Aguayo, M.
Carmona, A.
Barrena, J.
Nahuelhual, L.
Author_xml – sequence: 1
  givenname: L.
  surname: Nahuelhual
  fullname: Nahuelhual, L.
  email: lauranahuel@uach.cl
  organization: Instituto de Economía Agraria, Universidad Austral de Chile, Chile
– sequence: 2
  givenname: A.
  surname: Carmona
  fullname: Carmona, A.
  organization: Instituto de Economía Agraria, Universidad Austral de Chile, Chile
– sequence: 3
  givenname: P.
  surname: Laterra
  fullname: Laterra, P.
  organization: Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET) – Unidad Integrada Balcarce: EEA Balcarce, Instituto Nacional de Tecnología Agropecuaria – Facultad de Ciencias Agrarias, Universidad Nacional de Mar del Plata, Balcarce, Argentina
– sequence: 4
  givenname: J.
  surname: Barrena
  fullname: Barrena, J.
  organization: Instituto de Economía Agraria, Universidad Austral de Chile, Chile
– sequence: 5
  givenname: M.
  surname: Aguayo
  fullname: Aguayo, M.
  organization: Centro EULA, Universidad de Concepción, Concepción, Chile
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Keywords Cultural landscapes
Knowledge systems
Mapping ecosystem services
Economic valuation
Economic benefits
Ecological indicator
Agriculture
Ecosystem functioning
Ecosystem services
Man environment interface
Environmental monitoring
Environmental protection
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Snippet •A procedure for mapping the flow and economic benefits of cultural ecosystem services was proposed.•The procedure was applied to cope with intangible elements...
Modeling and mapping of cultural ecosystem services (CES) represents a significant gap in ecosystem service research. A GIS-based methodological framework was...
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SubjectTerms Agronomy. Soil science and plant productions
Animal and plant ecology
Animal, plant and microbial ecology
Applied ecology
Biological and medical sciences
Chile
Conservation, protection and management of environment and wildlife
cultivars
Cultural landscapes
Economic benefits
Economic valuation
ecosystem services
expert opinion
experts
farmland values
Fundamental and applied biological sciences. Psychology
General agroecology
General agroecology. Agricultural and farming systems. Agricultural development. Rural area planning. Landscaping
General agronomy. Plant production
General aspects
Generalities. Agricultural and farming systems. Agricultural development
geographic information systems
Knowledge systems
landscapes
Mapping ecosystem services
Parks, reserves, wildlife conservation. Endangered species: population survey and restocking
potatoes
society
Synecology
willingness to pay
Title A mapping approach to assess intangible cultural ecosystem services: The case of agriculture heritage in Southern Chile
URI https://dx.doi.org/10.1016/j.ecolind.2014.01.005
https://www.proquest.com/docview/2000240872
Volume 40
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