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S.G. Plexida & A.I. Sfougaris 2010. Conservation of priority bird species in a protected area of central Greece 286 variables that regulate bird distrubution and (3) to analyse the spatial distribution of bird diversity, referring to richness and abundance. 2. Methodology The Special Protected Area (SPA) “Mountain Antichasia – Meteora” studied (82.635ha), is extended between 250 to 1,400 m and is considered very important for its wild fauna (Meliadis et al. 2009). There are a few hedgerows among fields, while the main shrub species, Pyrus amygdaloformis; Quercus coccifera; Carpinus orientalis; Cotinus coggygria, occupy only 25% of the total area. Trees, mostly Q. pubescens, Q. frainetto and Q. cerris, cover 65% of the area. The rest 10% of the study area is covered by cultivations. 2.1 Vegetation survey Vegetation measurements were taken within the same circular plots of 50m radius where the birds were sampled. Within each sample unit, five vegetation variables were measured: cover (%) of herbaceous plants, low shrubs, tall shrubs, trees, and cover (%) of bare ground (Table 1). In order to avoid observer-related biases in vegetation sampling (Prodon and Lebreton 1981), all vegetation parameter estimations were conducted by the same observer to control for interobserver variability (Morrison et al. 1992). 2.2 Bird counts Bird counts took place in spring and late autumn 2008 on 185 plots using the point count method of 50m radius (0.785ha) (Ralph et al. 1995; Bibby et al. 2000). Each point was separated by at least 250m from all other points to minimize the probability of sampling the same bird more than once. All bird species using a plot were counted. These included all birds recorded on the ground and birds hunting over sample plots such as kestrels. Counts were made with binoculars Nikon 7218 Action 10x50mm by two observers simultaneously (Bibby et al. 1992). The first set of counts were conducted to sample spring migrants that use this area as stopover site during their spring migration, and breeding birds, while the second one aimed at censusing the resident birds. 2.3 Statistical analysis The overall effect of habitat characteristics (habitat type, habitat cover variables) was assessed by stepwise multiple regression with the variables recorded for each sample plot. In these analyses data were log(x+1) transformed to ensure normality. To explain a significant proportion of variation in field use for each bird species, we used stepwise regression analyses. The role of geographical location was explored by the ordinary kriging geostatistical models (Johnston et al. 2001). The “spatial” data matrix was conducted from x and y geographic coordinates. Non-normal variables were logarithmically transformed (Sokal and Rohlf 1981). 3. Results The five vegetation variables measured in the 185 studied plots were not highly inter-correlated with the exception of shrubs presence (Table 2). There were two extremely significant variables, the low shrub cover and the tree cover (r= -0.698, P
S.G. Plexida & A.I. Sfougaris 2010. Conservation of priority bird species in a protected area of central Greece 287 Alauda arvensis (N=119), Turdus philomelos (N=106) and Lullula arborea (N=95). According to boxplots, bird richness and abundance varies more in farmland and fallowland than the other habitat types (Figures 1 and 2). Specifically, stepwise multiple regression showed that bird richness is correlated significantly with fallow land (β=0.15, P50cm tall) (P
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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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J. Beldade & T. Panagopoulos 2010.
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R.A. Diaz-Varela et al. 2010. Quant
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I. Duarte & F.C. Rego 2010. Land us
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J.S.V. Filho & M.L. Leite 2010. Sim
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F.J. Gómez et al. 2010. Land use c
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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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M.T.C. Rodrigues & V. Silva 2010. L
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J. Schaefer-Santos & C. Lingnau 201
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S.M. Scheffer & E. Schimanski 2010.
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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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A.L. Teixido et al. 2010. Impacts o
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H. Viana & J. Aranha 2010. Assessin
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H. Viana & J. Aranha 2010. Mapping
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Section 6 Tools of landscape assess
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N. Avani et al. 2010. Investigation
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J.C. Azevedo et al. 2010. Spatial d
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T. Batista et al. 2010. The third d
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V. Caboun 2010. New classification
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M. Deconchat et al. 2010. Identific
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J. Gaspar et al. 2010. Visibility a
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A.M. Geraldes 2010. Landscape runof
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K. Koschke et al. 2010. Using a mul
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J.-F. Mas et al. 2010. Assessing
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A. Matos et al. 2010. Economic valu
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A. Migliozzi et al. 2010. Land-use
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M.L Porto et al. 2010. Naturalness
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M.L Porto et al. 2010. Naturalness
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M. Rehor & V. Ondracek 2010. Applic
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J. Russell et al. 2010. Developing
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Section 7 Management and sustainabi
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P. Angelstam & M. Elbakidze. 2010.
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M. Castro et al. 2010. Relationship
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M. Elbakidze et al. 2010. Does fore
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E. Kouhgardi et al. 2010. Values of
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E. Kouhgardi et al. 2010. Values of
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E. Schimanski 2010. The importance
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L.A.M. da Silva & E. Shimanki 2010.
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N. Stryamets et al. 2010. Role of n
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E. Volkova 2010. The regional analy
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I. Löfström et al. 2010. Biodiver
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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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Network theory to conserve and reco
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B. Terrones et al. 2010. Detecting
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Management and conservation of Medi
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P.M. Fernandes et al. 2010. Testing
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D. Geni et al. 2010. A framework fo
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J.M. Rey Benayas 2010. Restoration
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IUFRO Unit 8.01.02 Landscape Ecolog
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