Landscapes Forest and Global Change - ESA - Escola Superior ...

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R.S. Moro & T.K. Pereira 2010. Evaluating an old sustainable national forest in south Brazil 272 Lam. 32 Sapindaceae Allophylus edulis (A.St.- Hil., Cambess. & A. Juss.) Radlk). (O.Berg.) Legr. Eugenia uniflora L. pitangueira Pi, Si, St C Fo Gomidesia affinis (Camb.) guamirim Legr. Mosiera prismatica (D. Cerninho; Pi, Si, St Fo Legr.) Landrum cambuí Myrcia hatschbachii Legr. Caingá Si Myrcia myrcioides Guamirim Si (Camb.) O. Berg. Myrcia obtecta (Berg.) Guamirimbranco; Si Kiaersk. cambuí Myrcia rostrata DC Guamirimchorão Pi, Si, St Ti Myrcianthes pungens (O. Guabijú St Berg) D. Legrand Myrtaceae 1 Myrtaceae 2 Myrtaceae 3 Pimenta Craveiro Si Fo pseudocaryophyllus Blume 28 Proteaceae Roupala brasiliensis Kl. Carvalho Pi, Si, St 29 Rosaceae Prunus brasiliensis Schott Pessegueirobravo Si, St ex Spr. 30 Rubiaceae Coussarea contracta pimenteira St (Walp.) Muell.Arg. Psychotria leiocarpa Grandiúva St Cham. et S. 31 Rutaceae Citrus lemon L. Limoeiro Ex R Fo Zanthoxyllum rhoifolium Mamica-de- Pi, Si, St cadela Chal-chal Pi, Si, St VC Cupania vernalis Camb. Cuvantã Pi, Si, St VC Matayba elaeagnoides Miguelpintado Pi, Si, St VC Radlk. 33 Solanaceae Solanaceae 1 R 34 Styracaceae Styrax leprosus Hook. et Carne-de-vaca Si, St NC Ti Arn. 35 Verbenaceae Aegiphila sellowiana Tamanqueiro Pi, Si, St Ha Cham. Vitex megapotamica (Spr.) Tarumã St, Cl C Me Moldenke * PI= initial; Si = initial secondary; St = late secondary; Cl= climacic; Ex = non-native; ** VC- very common: DR≥5%; C- common: 1%>DR%
R.S. Moro & T.K. Pereira 2010. Evaluating an old sustainable national forest in south Brazil 273 b) including Araucaria, basal area ranges from 15 to 54m 2 /ha and dbh, from 3 to 62cm; c) liana and epiphytes are rare; there are few grasses and litter reaches more than 10 cm in the most part of the sampled sites; d) gaps could be common, sparsely located; e) there is no dominance of a few species over the others in the stands. Typical species of this regeneration stadium are Casearia sylvestris, Matayba elaeagnoides, Capsicodendron dinisii, Eugenia uniflora, Dalbergia brasiliensis, Clethra scabra, Casearia lasiophylla, Alophyllus edulis, and Cupania vernalis. It was identified several endangered species as Dicksonia sellowiana (IBAMA 1992), Roupala brasiliensis, Apuleia leiocarpa, and Nectandra megapotamica (Res. SEMA/IAP 31/98). There were endangered species and bioindicators that enhance the ecological importance of this National Forest. Thus, this one should not be exploited despite their original purpose and deserves na integral conservation status. Acknowledgements: To ICMBio for the financial and field support; to Dr. Carlos Hugo Rocha for his landscape´s components analysis disposal. References Castella, P.R. and Britez, R.M., 2004. A Floresta com Araucária no Paraná: conservação e diagnóstico dos remanescentes florestais.MMA, Brasília, 236p. CONAMA – Conselho Nacional de Meio Ambiente. Res. 2/94. Define vegetação primária e secundária nos estágios inicial, médio e avançado de regeneração da Mata Atlântica no Estado do Paraná. IBAMA - Instituto Brasileiro do Meio Ambiente e dos Recursos Naturais Renováveis. Portaria n. 006/92-N/92. Apresenta a Lista Oficial de Espécies da Flora Brasileira Ameaçadas de Extinção. Shepherd, G.J., 1994. FITOPAC: manual do usuário. UNICAMP, Campinas, 25p. SNUC - Sistema Nacional de Unidades de Conservação da Natureza. Lei nº 9.985/2000. 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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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. 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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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. 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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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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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. Matos et al. 2010. Economic valu
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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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L.A.M. da Silva & E. Shimanki 2010.
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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. Penot 2010. Socio-economic diagn
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Network theory to conserve and reco
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B. Terrones et al. 2010. Detecting
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M. Kolström et al. 2010. Is it pos
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J.P. Nunes et al. 2010. Impacts of
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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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IUFRO Unit 8.01.02 Landscape Ecolog
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