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A. Migliozzi et al. 2010. Land-use management and changes in Campania Region (Southern Italy) 521 Since 2004 a series of legislative measures have outlined the regional legal instruments capable of inverting this trend by offering an integrated strategy for the management and restoration of the urban, rural and forest ecosystems,. Within the framework of the landascape restoration the Piano Territorale Regionale (PTR) and the the Piano Forestale Generale (PFG) was promulgated. Among the objectives of the latter are the protection, conservation and enhancement of ecosystems, forest resources and hydro-geological aspects, and theimprovement of the socio-economic conditions for the populations of the hill and mountains areas. The study of 10 state forests in the Campania Region was an applied research aimed to highlight both local and regional landscape changes, for a more appropriate definition of the PFG recently approved by the Regional Council of Campania. In a first step the present work focuses on the change at landscape scale occurring in the last 50 years in Campania. Then, physiographic units were employed as a basis to describe the 10 state forests of the Campania Region. The main problems of sustainable forest management and agro-forestry in Campania are highlighted in relation to actions proposed by the PRT and PFG. 2. Methodology Two different approaches were followed: At a landscape level, carriers responsible for the transformation of Campania’s landscape agroforestry were identified, covering the last fifty years. A land-systems map was used as background to focus on ten different forests, highlighting their status and management perspectives. 2.1 Landscape changes towards 40 years The analysis of land–use changes was carried out comparing, in GIS environment (ArcGIS - ESRI inc.), the land-use map of ltaly (CNR TCI 1956-1960) with the Corine land cover map (level IV – 2000 EU) integrated by the map of rural soil use, edited by the National Institute of Agricultural Economics (INEA CEC-2001), which allowed a more accurate cartographic restitution of farmland. Comparison was made with reference to physiographic areas (Lands systems) characterised by a particular combination of environmental factors (climate, morphology and soil) which can influence at the medium and long term sustainable use of resources by the man. Finally, the cartographic analysis data was integrated with socio-economic statistics and census (a more accurate description of the used approach is available at www.risorsa.info). The implementation of geographic database in GIS environment, has assumed the reference of all cartographic documents to a single geographic projection system (Gauss Boaga for Italy – Zone 2). 2.2 State Forests characterisation A detailed survey of forest types was conducted within the 10 State Forests of the Campania Region (Figure 1). State of art and bibliographic acquisition All the existing bibliographic and cartographicinformation on flora and vegetation and forest management plans related to the geographical areas where forests are located, was acquired and archived according the guidelines for the sustainable management of forest and pastoral resources in Protected Areas. To assess the constraints on the management of the habitats of these areas, overlaps with the Site of Community Importance Special Protection Areas (SPAs) and Special Areas of Conservation (SACs), included in the network "Bioitaly-Nature 2000" were considered. Forest Landscapes and Global Change-New Frontiers in Management, Conservation and Restoration. Proceedings of the IUFRO Landscape Ecology Working Group International Conference, September 21-27, 2010, Bragança, Portugal. J.C. Azevedo, M. Feliciano, J. Castro & M.A. Pinto (eds.) 2010, Instituto Politécnico de Bragança, Bragança, Portugal.
A. Migliozzi et al. 2010. Land-use management and changes in Campania Region (Southern Italy) 522 Figure 1: Location and list of the 10 State Forests in Campania Region (Southern Italy) Ortho-Photo interpretation and mapping of the forest types The main forest formations were identified through the interpretation of digital orthophotos (1px / m resolution; max strain = 2m).It was possible to obtain a more precise classification of forest types in relation to the tone and texture of the pictures. The forest polygons were acquired directly from georeferenced digital orthophotos in a GIS environment (ArcView 3.2 ESRI inc.). Contextually, a geographic database for further processing was built. The polygon video scale capture was not less than 1:3,000 scale ratio. Field investigations In order to determine the main structural aspects of each forest type found on the digital orthophotos, a combined approach based on floro-vegetational, phyto-sanitary, phytosociological and physiognomical characteristics was carried out. Measurement on sampling areas, also documented by a detailed photographic survey, was performed by targeting plots, which allowed the compilation of field data sheets, useful for subsequent phases, and for outlining the current woodland management . Field investigations regarded: 1) Biotic and abiotic environmental characteristics (stand site analysis); 2) Qualitative and quantitative features of the stand; 3) Productivity and nonproductivity functions of the woodlands . 3. Results Landscape changes through 40 years Land cover changes at regional scale can be summarized through a model based on three compartments (Figure 2): Figure 2: Land cover changes through 40 years in Campania Region. LAW (Land Used Wholly) contributes to almost all of the increase in urban areas Forest Landscapes and Global Change-New Frontiers in Management, Conservation and Restoration. Proceedings of the IUFRO Landscape Ecology Working Group International Conference, September 21-27, 2010, Bragança, Portugal. J.C. Azevedo, M. Feliciano, J. Castro & M.A. Pinto (eds.) 2010, Instituto Politécnico de Bragança, Bragança, Portugal.
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Landscapes Forest and Global Change
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The contributions to this volume ha
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Table of contents Foreword Preface
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Fine-scale mapping of High Nature V
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Characterization of a Maculinea alc
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Urban tree inventory and socio-econ
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xiii Foreword Twenty years ago, Dr.
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Section 1 Scaling in landscape anal
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V. Cortes et al. 2010. Environmenta
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D. S. de Ron et al. 2010. Habitat s
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B. Bożętka 2010. Recent relations
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S.F. Chen et al. 2010. A physiotope
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V.D. de Campos & S M. Carvalho 2010
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N.S. Evseeva & Z.N. Kvasnikova 2010
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N.S. Evseeva & Z.N. Kvasnikova 2010
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S. Frank et al. 2010. A regionally
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M. García et al. 2010. The effect
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M. García et al. 2010. The effect
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S. Gholami et al. 2010. Spatial pat
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P. González-Moreno et al. 2010. Th
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T. Höbinger et al. 2010. Impact of
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P. Matos et al. 2010. Can lichen fu
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E.S. Meier et al. 2010. Projections
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E.S. Meier et al. 2010. Projections
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H. Moutahir et al. 2010. Applicatio
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H. Moutahir et al. 2010. Applicatio
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C. Palaghianu 2010. The use of Voro
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F. Peña-Cortés et al. 2010. Spati
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F.M. Rabenilalana et al. 2010. Mult
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A. Ruskule et al. 2010. Patterns of
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E. Sayad 2010. Nitrogen retrancloca
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E. Sayad 2010. Nitrogen retrancloca
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G. Zhelezov 2010. Evaluation of the
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Section 3 Disturbances in changing
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A. Altamirano et al. 2010. Human-ca
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A. Altamirano et al. 2010. Human-ca
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T. Curt & J. Pausas 2010. Are chang
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R.A Fleming et al. 2010. Forest man
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R.A Fleming et al. 2010. Forest man
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P.C. Goebel et al. 2010. How import
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L.R. Iverson et al. 2010. Merger of
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T.-C. Lin et al. 2010. Immediate ef
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K. L. Martin & P.C. Goebel 2010. Im
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G.M. Pastur et al. 2010. Indirect e
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E.W Saragih et al. 2010. Effects of
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L.R.P. Williamson et al. 2010. Anth
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N. Zurbriggen et al. 2010. Modeling
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Section 4 Biodiversity conservation
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Akbarzadeh et al. 2010. Ecotourism
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Akbarzadeh et al. 2010. Ecotourism
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C. Carvalho-Santos 2010. Fine-scale
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I. Catalano et al. 2010. Wood macro
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R.A. Diaz-Varela et al. 2010. Exten
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R.A. Diaz-Varela et al. 2010. Asses
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P.A.E. Diogo & J. Aranha 2010. GIS
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P.A.E. Diogo & J. Aranha 2010. GIS
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V. Etemad & N. Avani 2010. Investig
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A.E. Eycott et al. 2010. The impact
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E. Fernández-Núñez et al. 2010.
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N. Fracassi & D. Somma 2010. Partic
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J. Hartter et al. 2010. Fortresses
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M.B. Horta et al. 2010. Landscape S
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J.O. López-Martínez et al. 2010.
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Sara Marques et al. 2010. Impact of
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M.G.C. Martins & J. Aranha 2010. El
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M.G.C. Martins & J. Aranha 2010. El
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J.-F. Mas et al. 2010. Modeling lan
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R.S. Moro & T.K. Pereira 2010. Eval
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R.S. Moro & C.H Rocha 2010. A metho
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V. Núñez et al. 2010. Landscape i
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M.C.C. Rodrigues et al. 2010. Contr
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M.C. Silva et al. 2010. Using Busin
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E. Tetetla-Rangel et al. 2010. Rela
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M. Tsibulnikova 2010. Economic esti
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M. Akbarzadeh & E. Kouhgardi 2010.
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J. Beldade & T. Panagopoulos 2010.
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M.L. Leite & J.S.V. Filho2010. Anal
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M.L.Leite & J.S.V. Filho 2010. Iden
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M. Ortega et al. 2010. Monitoring v
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G. Puddu et al. 2010. Landscape tra
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H.R. Ratsimba et al. 2010. Multi-sc
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M.C. Rodrigues et al. 2010. Charact
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S.M. Scheffer & E. Schimanski 2010.
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J. Superson et al. 2010. The defore
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Section 6 Tools of landscape assess
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N. Avani et al. 2010. Investigation
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V. Caboun 2010. New classification
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Page 518 and 519: K. Koschke et al. 2010. Using a mul
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L.A.M. da Silva & E. Shimanki 2010.
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E. Volkova 2010. The regional analy
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Section 9 Symposia
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Z.L. Urech & J.P. Sorg 2010. Taking
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Measures of landscape structure as
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E.R. Diaz-Varela et al. 2010. Multi
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E. Penot 2010. Socio-economic diagn
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Network theory to conserve and reco
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M. Kolström et al. 2010. Is it pos
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Management and conservation of Medi
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P.M. Fernandes et al. 2010. Testing
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E. Andrieu et al. 2010. When forest
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D. Geni et al. 2010. A framework fo
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A. Ouin et al. 2010. Do wooded elem
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C. Estreguil & G. Caudullo 2010. Ha
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IUFRO Unit 8.01.02 Landscape Ecolog
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