Dynamic simulation of forest management normative scenarios : the case of timber plantations in the southern Chile

Accounting for spatial issues (spatially explicit simulation, geographical amenities and advantages of land use 10 and cover changes, etc.) to build prospective scenarios is a crucial issue for better assessment of possible impacts on the environment. Such spatialized scenarios and their implications allow societies to reduce the uncertainty of the future by exploring various strategies for land use changes. Despite the wide diversity in existing scenario-building techniques, two different approaches can be distinguished (exploratory vs. normative) for their methodological implications. The originality in this study comes from the use of a relevant exploratory 15 (dynamic) approach to map normative scenarios which, in most cases, are represented throughout the combination of narratives and synchronic land use and cover maps. The objective of the article is to apply this dynamic exploratory simulation approach to spatialize normative scenarios within the framework of forest management in southern Chile. In the results, two contrasting images of the future are compared, with the preservation of native forests on one hand and the spread of exotic timber plantations on the other.

[1]  Edgar Ortegón,et al.  Manual de prospectiva y decisión estratégica: bases teóricas e instrumentos para América Latina y el Caribe , 2006 .

[2]  S. Suárez‐Seoane,et al.  Using predictive models as a spatially explicit support tool for managing cultural landscapes , 2011 .

[3]  M. Rounsevell,et al.  Future scenarios of European agricultural land use: I. Estimating changes in crop productivity , 2005 .

[4]  Fernando Oñate-Valdivieso,et al.  Application of GIS and remote sensing techniques in generation of land use scenarios for hydrological modeling , 2010 .

[5]  M. V. Asselt,et al.  An updated scenario typology , 2003 .

[6]  J. Mas,et al.  Benchmarking of LUCC modelling tools by various validation techniques and error analysis , 2014 .

[7]  R. Mittermeier,et al.  Biodiversity hotspots for conservation priorities , 2000, Nature.

[8]  G. Finnveden,et al.  Scenario types and techniques: Towards a user's guide , 2006 .

[9]  Michel Godet De l"anticipation à l"action , 1992 .

[10]  Martin Paegelow,et al.  Inductive pattern-based land use/cover change models: A comparison of four software packages , 2014, Environ. Model. Softw..

[11]  Angela Wilkinson Scenarios Practices: In Search of Theory , 2009 .

[12]  E. Masini,et al.  Scenarios as Seen from a Human and Social Perspective , 2000 .

[13]  Claudia Pahl-Wostl,et al.  Conceptualising uncertainty in environmental decision-making: The example of the EU water framework directive , 2010 .

[14]  Pablo J. Donoso,et al.  Hacia una definición de país forestal: ¿Dónde se sitúa Chile? , 2005 .

[15]  Martin Paegelow,et al.  Éclairer le choix des outils de simulation des changements des modes d'occupation et d'usages des sols. Une approche comparative , 2011, Rev. Int. Géomatique.

[16]  C. Oyarzún,et al.  VALUING ECOSYSTEM SERVICES OF CHILEAN TEMPERATE RAINFORESTS , 2007 .

[17]  K. Seto,et al.  Modeling Land Use and Land Cover Change , 2012 .

[18]  Bernard Cazes,et al.  La prospective : pratiques et méthodes , 1993 .

[19]  Muhammad Amer,et al.  A review of scenario planning , 2013 .

[20]  Thomas Henrichs,et al.  Linking scenarios across geographical scales in international environmental assessments , 2007 .

[21]  Christine Voiron-Canicio,et al.  L'anticipation du changement en prospective et des changements spatiaux en géoprospective , 2012 .

[22]  D. Bergandi Environnement, éthique et politique : les limites d’une démocratie inaboutie et leurs conséquences néfastes sur la protection de la nature , 2014 .

[23]  Jean Paul Metzger,et al.  Modeling landscape dynamics in an Atlantic Rainforest region: Implications for conservation , 2009 .

[24]  Pablo A. Marquet,et al.  From the Holocene to the Anthropocene: A historical framework for land cover change in southwestern South America in the past 15,000 years , 2010 .

[25]  Michel Godet,et al.  Introduction to la prospective: Seven key ideas and one scenario method☆ , 1986 .

[26]  F. Cubbage,et al.  Timber investment returns for selected plantations and native forests in South America and the Southern United States , 2007, New Forests.

[27]  Martin Paegelow,et al.  Possibilities and limits of prospective GIS land cover modelling—a compared case study: Garrotxes (France) and Alta Alpujarra Granadina (Spain) , 2005, Int. J. Geogr. Inf. Sci..

[28]  T. L. Saaty A Scaling Method for Priorities in Hierarchical Structures , 1977 .

[29]  S. Catellin,et al.  L'abduction: une pratique de la découverte scientifique et littéraire , 2004 .

[30]  Françoise Gourmelon,et al.  La géoprospective – Apport de la dimension spatiale aux démarches prospectives , 2014 .

[31]  Chris C. Stewart,et al.  Integral scenarios: Reframing theory, building from practice , 2008 .

[32]  Michael Batty,et al.  Modelling and prediction in a complex world , 2005 .

[33]  Frank Ewert,et al.  Land use scenarios for Europe , 2003 .

[34]  M. Cannell,et al.  Environmental impacts of forest monocultures: water use, acidification, wildlife conservation, and carbon storage , 2004, New Forests.

[35]  Peter C. Bishop,et al.  The current state of scenario development: an overview of techniques , 2007 .

[36]  Nicolas Maestripieri,et al.  Détection des plantations forestières par imagerie satellite MODIS dans le Sud du Chili , 2012 .

[37]  Scott L. Goodrick,et al.  Future U.S. wildfire potential trends projected using a dynamically downscaled climate change scenario , 2013 .

[38]  V. Tsihrintzis,et al.  Combining geographic information system, multicriteria evaluation techniques and fuzzy logic in siting MSW landfills , 2006 .

[39]  L. Hubert‐Moy,et al.  MODELING AND PROJECTING LAND-USE AND LAND-COVER CHANGES WITH A CELLULAR AUTOMATON IN CONSIDERING LANDSCAPE TRAJECTORIES: AN IMPROVEMENT FOR SIMULATION OF PLAUSIBLE FUTURE STATES , 2005 .

[40]  Calibrer un modèle d’évolution de l’occupation du sol urbain. L’exemple de Belfort , 2006 .

[41]  Arnaldo Cecchini,et al.  Design beyond complexity: Possible futures—Prediction or design? (and techniques and tools to make it possible) , 2008 .

[42]  Nicolas Maestripieri,et al.  Validation spatiale de deux modèles de simulation : l’exemple des plantations industrielles au Chili , 2013 .

[43]  Jean-François Mas,et al.  Modelling deforestation using GIS and artificial neural networks , 2004, Environ. Model. Softw..

[44]  David Butler,et al.  Spatial ordered weighted averaging: incorporating spatially variable attitude towards risk in spatial multi-criteria decision-making , 2006, Environ. Model. Softw..

[45]  H. Vacik,et al.  Application of the analytic network process in multi-criteria analysis of sustainable forest management , 2005 .

[46]  Antonio Lara,et al.  Deforestación en ecosistemas templados de la precordillera andina del centro-sur de Chile , 2010 .

[47]  Cyril Tissot,et al.  Modélisation prospective spatialisée à l'échelle locale : approche méthodologique. Application à la gestion de l'eau en Bretagne , 2008, Rev. Int. Géomatique.

[48]  V. Masson,et al.  Adapting cities to climate change: A systemic modelling approach , 2014 .

[49]  Aumnad Phdungsilp Futures studies’ backcasting method used for strategic sustainable city planning , 2011 .

[50]  Martin Paegelow,et al.  Modelling Land use / cover changes: a comparison of conceptual approaches and softwares , 2014 .

[51]  Michel Godet Anticipation and scenarios are not synonymous , 1993 .

[52]  Adrian C. Newton,et al.  Rapid deforestation and fragmentation of Chilean Temperate Forests , 2006 .