Developing multi-scale indicators for gauging High Nature farming systems

Detalhes bibliográficos
Autor(a) principal: Carvalho-Ribeiro, Sónia
Data de Publicação: 2013
Outros Autores: Pinto-Correia, Teresa, Parachini, Maria Luisa
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10174/10363
Resumo: The rural development policy community is calling for new transdisciplinary approaches to convey meaningful measures (e.g. indicator sets, indices) for assessing High Nature Value farming systems at different spatial scales (IEEP, 2009). At broader spatial scales there has been huge efforts for example by IRENA (Indicator Reporting on the Integration of Environmental Concerns into Agriculture Policy) in developing a set of agri-environmental indicators at the European scale (Paracchini et al., 2010). Another European scale initiative was the High Nature Value farming project which worked on developing High Nature Value Farming area indicators. In parallel, there is a rich literature reporting local case study data on high nature value farming systems throughout Europe. Nevertheless, transforming the local case study data on a local level indicator set is yet far from being accomplished. Furthermore, is still missing cross scale work on integrating European and local scale high nature value farming indicators. Land cover patterns, being dynamic landscape components, are essential features in High nature value systems. Thus, one promising avenue for devising indicators that bridge the agri-environmental and social spheres at different scales of analysis is that of land cover (vegetation structures such as grass, glades and forests) (Wiggering et al., 2006). However, landscape structure and composition will alter with changes in scale, and also across regions throughout Europe, and land cover patterns will also shift accordingly. Therefore, it is likely that the metrics/indexes framed at the European scale will not be transferable across scales in a straightforward way. There is thus the need to explore what are the set of indicators( including but not exclusively land cover )that can be framed in a comprehensive methodological approach for upscaling and downscaling HNV farming indicators (EEA, 2010). This paper particularly focuses on methodological issues in the light of the state of the art methodological approaches. It finishes by pointing out the challenges ahead for progressing on the development of multi scale indicators for gauging High Nature farming systems in Europe
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spelling Developing multi-scale indicators for gauging High Nature farming systemsMulti-scale indicatorsHigh Nature farming systemsThe rural development policy community is calling for new transdisciplinary approaches to convey meaningful measures (e.g. indicator sets, indices) for assessing High Nature Value farming systems at different spatial scales (IEEP, 2009). At broader spatial scales there has been huge efforts for example by IRENA (Indicator Reporting on the Integration of Environmental Concerns into Agriculture Policy) in developing a set of agri-environmental indicators at the European scale (Paracchini et al., 2010). Another European scale initiative was the High Nature Value farming project which worked on developing High Nature Value Farming area indicators. In parallel, there is a rich literature reporting local case study data on high nature value farming systems throughout Europe. Nevertheless, transforming the local case study data on a local level indicator set is yet far from being accomplished. Furthermore, is still missing cross scale work on integrating European and local scale high nature value farming indicators. Land cover patterns, being dynamic landscape components, are essential features in High nature value systems. Thus, one promising avenue for devising indicators that bridge the agri-environmental and social spheres at different scales of analysis is that of land cover (vegetation structures such as grass, glades and forests) (Wiggering et al., 2006). However, landscape structure and composition will alter with changes in scale, and also across regions throughout Europe, and land cover patterns will also shift accordingly. Therefore, it is likely that the metrics/indexes framed at the European scale will not be transferable across scales in a straightforward way. There is thus the need to explore what are the set of indicators( including but not exclusively land cover )that can be framed in a comprehensive methodological approach for upscaling and downscaling HNV farming indicators (EEA, 2010). This paper particularly focuses on methodological issues in the light of the state of the art methodological approaches. It finishes by pointing out the challenges ahead for progressing on the development of multi scale indicators for gauging High Nature farming systems in Europe2014-01-30T10:23:08Z2014-01-302013-02-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjecthttp://hdl.handle.net/10174/10363http://hdl.handle.net/10174/10363engCarvalho-Ribeiro S., Pinto-Correia T. & Parachini M.L. 2013. Developing multi-scale indicators for gauging High Nature farming systems. ICAAM International Conference 2013: Acknowledging the MONTADOS and DEHESAS as High Nature Value Farming Systems. 6-8 February 2013, Évora, Portugal.http://www.icaam.uevora.pt/Noticias-e-Informacoes/Agenda/ICAAM-International-Conference-2013-Acknowledging-the-MONTADOS-and-DEHESAS-as-High-Nature-Value-Farming-SystemsnaonaosimPAO – Comunicações – Em Congressos Científicos Internacionaissribeiro@uevora.ptmtpc@uevora.ptndCarvalho-Ribeiro, SóniaPinto-Correia, TeresaParachini, Maria Luisainfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-08-08T04:02:50ZPortal AgregadorONG
dc.title.none.fl_str_mv Developing multi-scale indicators for gauging High Nature farming systems
title Developing multi-scale indicators for gauging High Nature farming systems
spellingShingle Developing multi-scale indicators for gauging High Nature farming systems
Carvalho-Ribeiro, Sónia
Multi-scale indicators
High Nature farming systems
title_short Developing multi-scale indicators for gauging High Nature farming systems
title_full Developing multi-scale indicators for gauging High Nature farming systems
title_fullStr Developing multi-scale indicators for gauging High Nature farming systems
title_full_unstemmed Developing multi-scale indicators for gauging High Nature farming systems
title_sort Developing multi-scale indicators for gauging High Nature farming systems
author Carvalho-Ribeiro, Sónia
author_facet Carvalho-Ribeiro, Sónia
Pinto-Correia, Teresa
Parachini, Maria Luisa
author_role author
author2 Pinto-Correia, Teresa
Parachini, Maria Luisa
author2_role author
author
dc.contributor.author.fl_str_mv Carvalho-Ribeiro, Sónia
Pinto-Correia, Teresa
Parachini, Maria Luisa
dc.subject.por.fl_str_mv Multi-scale indicators
High Nature farming systems
topic Multi-scale indicators
High Nature farming systems
description The rural development policy community is calling for new transdisciplinary approaches to convey meaningful measures (e.g. indicator sets, indices) for assessing High Nature Value farming systems at different spatial scales (IEEP, 2009). At broader spatial scales there has been huge efforts for example by IRENA (Indicator Reporting on the Integration of Environmental Concerns into Agriculture Policy) in developing a set of agri-environmental indicators at the European scale (Paracchini et al., 2010). Another European scale initiative was the High Nature Value farming project which worked on developing High Nature Value Farming area indicators. In parallel, there is a rich literature reporting local case study data on high nature value farming systems throughout Europe. Nevertheless, transforming the local case study data on a local level indicator set is yet far from being accomplished. Furthermore, is still missing cross scale work on integrating European and local scale high nature value farming indicators. Land cover patterns, being dynamic landscape components, are essential features in High nature value systems. Thus, one promising avenue for devising indicators that bridge the agri-environmental and social spheres at different scales of analysis is that of land cover (vegetation structures such as grass, glades and forests) (Wiggering et al., 2006). However, landscape structure and composition will alter with changes in scale, and also across regions throughout Europe, and land cover patterns will also shift accordingly. Therefore, it is likely that the metrics/indexes framed at the European scale will not be transferable across scales in a straightforward way. There is thus the need to explore what are the set of indicators( including but not exclusively land cover )that can be framed in a comprehensive methodological approach for upscaling and downscaling HNV farming indicators (EEA, 2010). This paper particularly focuses on methodological issues in the light of the state of the art methodological approaches. It finishes by pointing out the challenges ahead for progressing on the development of multi scale indicators for gauging High Nature farming systems in Europe
publishDate 2013
dc.date.none.fl_str_mv 2013-02-01T00:00:00Z
2014-01-30T10:23:08Z
2014-01-30
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url http://hdl.handle.net/10174/10363
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language eng
dc.relation.none.fl_str_mv Carvalho-Ribeiro S., Pinto-Correia T. & Parachini M.L. 2013. Developing multi-scale indicators for gauging High Nature farming systems. ICAAM International Conference 2013: Acknowledging the MONTADOS and DEHESAS as High Nature Value Farming Systems. 6-8 February 2013, Évora, Portugal.
http://www.icaam.uevora.pt/Noticias-e-Informacoes/Agenda/ICAAM-International-Conference-2013-Acknowledging-the-MONTADOS-and-DEHESAS-as-High-Nature-Value-Farming-Systems
nao
nao
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PAO – Comunicações – Em Congressos Científicos Internacionais
sribeiro@uevora.pt
mtpc@uevora.pt
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