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

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G. Puddu et al. 2010. Landscape transformations seen through the historical cartography: Sardinia as case study 397 The most known picture of Sardinia in terms of landscape, is linked to pastoral customs and habits, in which the aesthetic component is the diffusion of pasture land, and the increase of forests implies a strong environmental change that have to be taken into account in territorial planning strategies, since it’ll lead to the new (“old”) forest issue of relation between pasture and wood. Given that, in less than a century, the biological and ecological drives led forest systems to occupy spaces and territories (when these would be able to support forest growth), then a remark on “Habitat Directive” model in Sardinia (but also in Mediterranean basin) is due since a wide protection is reserved to semi-natural open areas, derived from (continuous) anthropic rehashing, even to the detriment of woods. If the dreaded destruction of forest habitat seems not to be occurred in 60’s, as several Authors identified as the main cause of extinction and/or reducing in animal biodiversity on the Island, then the reasons of this extinction should be better analyzed and understood (e.g. trespassing, agriculture industrialization, urban expansion, industrial development). References Beccu, E., 2000. Tra cronaca e storia le vicende del patrimonio boschivo della Sardegna. Carlo Delfino Editore, Sassari. D’Autilia, M., Sommazzi, S. and Arrigoni, P.V., 1967. Estensione e produzione dei boschi della Sardegna. Atti Convegno Prosettive economico-industriali della produzione legnosa in Sardegna, Cagliari. 33-75 p. Falcucci, A., Maiorano L., and Boitani, L., 2007. Changes in land-use/land-cover patterns in Italy and their implications for biodiversity conservation. Landscape Ecology, 22:617-631. Geri, F., Giordano, M., Nucci, A., Rocchino, D. and Chiarucci A., 2008. Analisi Multitemporale della Provincia di Siena mediante l’utilizzo di cartografie storiche. Forest@, 5:82-91. Le Lannou, M., 1941. Pâtres et paysans de la Sardaigne. Arrault and Cie, Tours, VIII-364 p. Merendi, A., 1954. Aspetti del problema forestale e montano nel mezzogiorno d’Italia. Italia Forestale e Montana, IX:129-139. Pelorosso, R., Leone A. and Boccia L., 2009. Land cover and land use change in the Italian central Apennines: a comparison of assessment methods. Applied Geography, 29:35-48. Petit, C.C. and Lambin, E.F., 2001. Impact of data integration technique on historical landuse/land-cover change: Comparing historical maps with remote sensing data in the Belgian Ardennes. Landscape Ecology, 17:117-132. Quattrocchi, G., 1950. Le superfici boscate in Italia al 30 giugno 1947. Istituto Poligrafico dello Stato, Roma. Riitters, K.H., O’Neil, R.V., Hunsaker, C.T., Wickham, J.D., Yankee, D.H., Timmins, S.P., Jones, K.B. and Jackson, B.L., 1995. A factor analysis of landscape pattern and structure metrics. Landscape Ecology, 10:23-39. Weibel, R. and Jones, C.B., 1998 Computational perspective on map generalization. GeoInformatica, 2(4):307-314. 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.
H.R. Ratsimba et al. 2010. Multi-scale analysis of carbon stocks and deforestation monitoring 398 Multi-scale analysis of carbon stocks and deforestation monitoring – Case of the Eastern tropical humid forest of Madagascar Harifidy Rakoto Ratsimba 1 *, L.G. Rajoelison 1 , F.M. Rabenilalana 1 , J. Bogaert 2 & E. Haubruge 3 1 Département des Eaux et Forêts, Ecole Supérieure des Sciences Agronomiques, Université d’Antananarivo, Madagascar 2 Service d’Ecologie du Paysage et systèmes de production végétale - Université Libre de Bruxelles, Belgium 3 Gembloux Agro-Bio Tech, Université de Liège, Belgium Abstract Carbon accounting and deforestation monitoring constitute the most important instruments in implementing the Reducing Emission from Deforestation and Degradation (REDD) mechanism in developing countries like Madagascar. Furthermore, most of the researches and calculations have been established at different scales. The present research develops a methodology to assess the aboveground biomass at a large scale through vegetation indices. Thus, biomass inventory in the field provides data for calibration and classification of the Normalized Difference Vegetation Index (NDVI) combined with the Enhanced Vegetation Index (EVI) on Moderate Resolution Imaging Spectroradiometer Image. The results demonstrate that NDVI and EVI provide an accurate classification of forest carbon at a large scale. Moreover, the use of vegetation indices enables the replication of the classification over time, useful for the detection of changes and the establishment of a deforestation baseline. Keywords: vegetation indices, tropical humid forest, deforestation monitoring, carbon accounting, Madagascar. 1. Introduction The estimation of this last decade shows that tropical forests represent 25% of the terrestrial biosphere’s carbon (Bonan, 2008). This forest ecosystem plays a very important role in the global carbon cycle by storing about 80% of all above-ground terrestrial organic carbon (IPCC, 2001). For this reason, the United Nations Framework Convention on Climate Change (1998) and its Kyoto Protocol (2003) recognized the role of forests in carbon sequestration. In this way, the deforestation and degradation processes in tropical regions become more and more important: land conversion is the main reason for 93.4% of the annual net forest loss (FAO, 2001). The Bali Action Plan, adopted by UNFCCC at the thirteenth session of its Conference of the Parties (COP 13 – 2007), mandates Parties to negotiate a post 2012 tool, including possible incentives for forest-based climate change mitigation actions. This COP 13 has adopted a decision on “Reducing emissions from deforestation and degradation in developing countries” and encourages Parties to explore a range of actions, identify options and undertake efforts to address the drivers of deforestation and forest degradation. Moreover, it points out the need of methodologies related to REDD emissions reporting. Satellite remote sensing technologies are currently widely tested and suggested as a tool in REDD monitoring, reporting and verification. However, there is a debate as to the overall feasibility and cost-benefit ratio of remote sensing approaches, depending on the wide range of *Corresponding author. Tel.: +261 34 08 00 627 Email address: rrharifidy@moov.mg 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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S.G. Plexida & A.I. Sfougaris 2010.
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A. Poljanec & A. Boncina 2010. Chan
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M. Redon & S. Luque 2010. Tengmalm
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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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T.N. Terra & R.F dos Santos 2010. L
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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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B. Baran-Zgłobicka & W. Zgłobicki
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B. Baran-Zgłobicka & W. Zgłobicki
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J. Beldade & T. Panagopoulos 2010.
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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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A.M. Carvalho et al. 2010. Connecti
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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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A. Gil-Tena et al. 2010. Disentangl
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E. Kouhgardi & M. Akbarzadeh 2010.
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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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A.C.R. de Oliveira & S.M. Carvalho
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I. Silva et al. 2010. Lisbon’s pu
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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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J.L. Hernández-Stefanoni et al. 20
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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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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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