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V. Etemad & N. Avani 2010. Investigation on species diversity by inventory in Caspian Forests 215 Figure 3: shanon diversity indicator in different types Figure 4: sympson evenness indicator in different types 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.E. Eycott et al. 2010. The impact of the matrix on species movement: systematic review and meta-analysis 215 The impact of the matrix on species movement: systematic review and meta-analysis A.E. Eycott 1* , G.B. Stewart 2 , G. Brandt 1 , L. M. Buyung-Ali 2 , D. E. Bowler 2 , K. Watts 1 & A.S. Pullin 2 1 Forest Research, Alice Holt, Farnham, UK. 2 Centre for Evidence-Based Conservation, School of the Environment and Natural Resources, Bangor University, Gwynedd, UK Abstract An increasing number of studies have demonstrated an impact of matrix structure on species movement. However, the strength of these effects are variable, with no general indications of which kinds of matrix might be more permeable. In this study we test four possible reasons for the variability in outcomes from 19 different studies on a range of animal taxa. In particular, we test whether matrix that is more similar in vertical structure to the 'home' habitat increases individual movement. Patch emigration rates were extracted from studies where controlled comparisons or 'choice' experiments compared the impact of different matrix types on emigration rates. Matrix types that have a more similar vertical structure to the 'home' habitat were associated with increased emigration rates. The planning of forests will need to account for ways of achieving permeable matrix for both forest species moving across cleared areas and open ground species passing through forests. Keywords. matrix structure, emigration, patch, connectivity 1. Introduction It is now widely established that the matrix, i.e. the intervening land cover between patches of habitat, can have a significant impact on species movement (Debinski, 2006; Franklin & Lindenmayer, 2009; Ricketts, 2001). Ecological network modelling techniques are developing rapidly to meet the challenge of incorporating matrix impacts (Saura & Pascual-Hortal, 2007). Such models are currently a key part in the development of some adaptation strategies to help species move in response to climate change (Hopkins et al., 2007, p.18). What is less clear, however, is how to account for the matrix in multi-species ecological networks. The data are limited by taxonomic coverage and by spatial and temporal scale. To the best of the authors’ knowledge, there are two quantitative analyses of how the matrix affects the abundance of different taxa (Prugh et al., 2008; Prevedello & Vieira, 2010) but no analyses of movement. In this paper we apply systematic review and meta-analysis to this problem. We examine the impacts of matrix structure and experimental designs on the outcomes of the different studies. * Corresponding author. Tel.: +44 1420 526200 - Fax: +44 1420 23653 Email address: amy.eycott@forestry.gsi.gov.uk 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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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. 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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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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R.S. Moro & C.H Rocha 2010. A metho
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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. Ortega et al. 2010. Monitoring v
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Section 6 Tools of landscape assess
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J. Gaspar et al. 2010. Visibility a
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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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Section 9 Symposia
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Measures of landscape structure as
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Network theory to conserve and reco
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Management and conservation of Medi
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IUFRO Unit 8.01.02 Landscape Ecolog
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