The present work proposes a criterion to classify landscape into naturalness systems using four levels of conservation: High naturalness, Semi-natural, Agricultural, Artificial. As a case study Sicily (Italy) was chosen. The methodology has been applied to reclassify Corine Land Cover data and obtain a Naturalness map. The area of study has been divided into reference units; these land units are the result of the overlay of the bioclimatic map and of the geomorphologic map. A new index to evaluate landscape naturalness and conservation is proposed, which has been calculated for each land unit. The highest value is located on the Nebrodi Mountains, a Regional Park where extensive beech woods are present and human activities are restricted. Very high values are correspondent to Mount Etna land systems (another Regional Park), the Ficuzza area and the Madonie Mountains (yet another Regional Park and a biodiversity hotspot). As expected, lowest values correspond to extensive urban areas and to industrial complexes. Agricultural landscape, widespread in Sicily, is almost always present in those land units whose values are in the mid-low range. The index has proved to be very useful for visualising the state of conservation and giving a general idea of human activity; it has been tested on Sicily, but could be applied to the entire European territory.

Baiamonte, G., Bazan, G., Raimondo, F.M. (2009). Land mosaic naturalness evaluation: a proposal for European landscapes. ??????? it.cilea.surplus.oa.citation.tipologie.CitationProceedings.prensentedAt ??????? European IALE Conference 2009 - 70 Years of Landscape Ecology in Europe - European Landscapee in Trasformation Challenges for Landscape Ecology and Management, Salzburg (Austria).

Land mosaic naturalness evaluation: a proposal for European landscapes

BAZAN, Giuseppe;RAIMONDO, Francesco Maria
2009-01-01

Abstract

The present work proposes a criterion to classify landscape into naturalness systems using four levels of conservation: High naturalness, Semi-natural, Agricultural, Artificial. As a case study Sicily (Italy) was chosen. The methodology has been applied to reclassify Corine Land Cover data and obtain a Naturalness map. The area of study has been divided into reference units; these land units are the result of the overlay of the bioclimatic map and of the geomorphologic map. A new index to evaluate landscape naturalness and conservation is proposed, which has been calculated for each land unit. The highest value is located on the Nebrodi Mountains, a Regional Park where extensive beech woods are present and human activities are restricted. Very high values are correspondent to Mount Etna land systems (another Regional Park), the Ficuzza area and the Madonie Mountains (yet another Regional Park and a biodiversity hotspot). As expected, lowest values correspond to extensive urban areas and to industrial complexes. Agricultural landscape, widespread in Sicily, is almost always present in those land units whose values are in the mid-low range. The index has proved to be very useful for visualising the state of conservation and giving a general idea of human activity; it has been tested on Sicily, but could be applied to the entire European territory.
Settore BIO/03 - Botanica Ambientale E Applicata
14-lug-2009
European IALE Conference 2009 - 70 Years of Landscape Ecology in Europe - European Landscapee in Trasformation Challenges for Landscape Ecology and Management
Salzburg (Austria)
July 12 – 16, 2009
2009
5
Baiamonte, G., Bazan, G., Raimondo, F.M. (2009). Land mosaic naturalness evaluation: a proposal for European landscapes. ??????? it.cilea.surplus.oa.citation.tipologie.CitationProceedings.prensentedAt ??????? European IALE Conference 2009 - 70 Years of Landscape Ecology in Europe - European Landscapee in Trasformation Challenges for Landscape Ecology and Management, Salzburg (Austria).
Proceedings (atti dei congressi)
Baiamonte, G; Bazan, G; Raimondo, FM
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10447/37810
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