An approach based on spatial multicriteria analysis to map the nature conservation value of agricultural land.
Identifieur interne : 000351 ( PubMed/Checkpoint ); précédent : 000350; suivant : 000352An approach based on spatial multicriteria analysis to map the nature conservation value of agricultural land.
Auteurs : Davide Geneletti [Italie]Source :
- Journal of environmental management [ 0301-4797 ] ; 2007.
Descripteurs français
- Wicri :
- geographic : Italie.
English descriptors
- KwdEn :
- MESH :
- chemical , analysis : Water Pollutants.
- geographic : Italy.
- analysis : Geologic Sediments.
- methods : Environmental Monitoring.
- statistics & numerical data : Environmental Monitoring.
- Agriculture, Conservation of Natural Resources, Ecosystem, Geographic Information Systems, Trees.
Abstract
Knowledge of the nature conservation value of agricultural land provides a useful input to land-use planning. However, the scarcity of suitable data causes this component to rarely play a role. The paper proposes a methodology based on commonly available data to assess the nature conservation value of agricultural landscapes, and to generate cartographic results to be used as decision variables in planning. The approach relies on landscape ecological indicators and on the application of multicriteria analysis in a Geographical Information System (GIS) context. Four criteria were selected: the agricultural landscape type, the cover of vegetation remnants and marginal features, the length of forest-agriculture ecotones, and the proximity to nature reserves. These criteria were assessed directly or by means of specific indicators, generating maps that were subsequently aggregated through spatial multicriteria analysis. The approach was tested in an alpine area located in Trentino (northern Italy).
DOI: 10.1016/j.jenvman.2006.03.002
PubMed: 16806658
Affiliations:
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However, the scarcity of suitable data causes this component to rarely play a role. The paper proposes a methodology based on commonly available data to assess the nature conservation value of agricultural landscapes, and to generate cartographic results to be used as decision variables in planning. The approach relies on landscape ecological indicators and on the application of multicriteria analysis in a Geographical Information System (GIS) context. Four criteria were selected: the agricultural landscape type, the cover of vegetation remnants and marginal features, the length of forest-agriculture ecotones, and the proximity to nature reserves. These criteria were assessed directly or by means of specific indicators, generating maps that were subsequently aggregated through spatial multicriteria analysis. The approach was tested in an alpine area located in Trentino (northern Italy).</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">16806658</PMID><DateCreated><Year>2007</Year><Month>02</Month><Day>12</Day></DateCreated><DateCompleted><Year>2007</Year><Month>06</Month><Day>13</Day></DateCompleted><DateRevised><Year>2007</Year><Month>02</Month><Day>12</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Print">0301-4797</ISSN><JournalIssue CitedMedium="Print"><Volume>83</Volume><Issue>2</Issue><PubDate><Year>2007</Year><Month>Apr</Month></PubDate></JournalIssue><Title>Journal of environmental management</Title><ISOAbbreviation>J. Environ. Manage.</ISOAbbreviation></Journal><ArticleTitle>An approach based on spatial multicriteria analysis to map the nature conservation value of agricultural land.</ArticleTitle><Pagination><MedlinePgn>228-35</MedlinePgn></Pagination><Abstract><AbstractText>Knowledge of the nature conservation value of agricultural land provides a useful input to land-use planning. However, the scarcity of suitable data causes this component to rarely play a role. The paper proposes a methodology based on commonly available data to assess the nature conservation value of agricultural landscapes, and to generate cartographic results to be used as decision variables in planning. The approach relies on landscape ecological indicators and on the application of multicriteria analysis in a Geographical Information System (GIS) context. Four criteria were selected: the agricultural landscape type, the cover of vegetation remnants and marginal features, the length of forest-agriculture ecotones, and the proximity to nature reserves. These criteria were assessed directly or by means of specific indicators, generating maps that were subsequently aggregated through spatial multicriteria analysis. 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