WIND-STORM: A Decision Support System for the Strategic Management of Windthrow Crises by the Forest Community

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Keywords :

wind damage; crisis management

Abstract :

[en] Storms are one of the most damaging agents for European forests and can cause huge and long-term economic impacts on the forest sector. Recent events and research have contributed to a better understanding and management of destructive storms, but public authorities still lack appropriate decision-support tools for evaluating their strategic decisions in the aftermath of a storm. This paper presents a decision support system (DSS) that compares changes in the dynamics of the regional forest-based sector after storm events under various crisis management options. First, the development and implementation of a regional forest model is addressed; then, the potential application of the model-based DSS WIND-STORM is illustrated. The results of simulated scenarios reveal that this DSS type is useful for designing a cost-effective regional strategy for storm-damage management in the context of scarce public resources and that public strategies must encompass the whole forest-based sector to be efficient. Additional benefits of such a DSS is to bring together decision-makers and forest stakeholders for a common objective and therefore to enhance participatory approaches to crisis management.

Disciplines :

Environmental sciences & ecology

Author, co-author :

Riguelle, Simon ; Université de Liège - ULiège > Form. doct. sc. agro. & ingé. biol.

Hebert, Jacques ; Université de Liège > Ingénierie des biosystèmes (Biose) > Gestion des ressources forestières et des milieux naturels

Jourez, Benoît ; Université de Liège > Ingénierie des biosystèmes (Biose) > Gestion des ressources forestières et des milieux naturels

Language :

English

Title :

WIND-STORM: A Decision Support System for the Strategic Management of Windthrow Crises by the Forest Community

Publication date :

29 September 2015

Journal title :

Forests

ISSN :

1999-4907

Publisher :

MDPI AG, Basel, Switzerland

Volume :

Pages :

3412-3432

Peer reviewed :

Peer Reviewed verified by ORBi

Additional URL :

http://www.mdpi.com/1999-4907/6/10/3412

Available on ORBi :

since 01 October 2015

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Bibliography

Schelhaas, M.J.; Nabuurs, G.J.; Schuck, A. Natural disturbances in the European forests in the 19th and 20th centuries. Glob. Chang. Biol. 2003, 9, 1620-1633.
Gardiner, B.; Blennow, K.; Carnus, J.-M.; Fleischer, M.; Ingemarson, F.; Landmann, G.; Lindner, M.; Marzano, M.; Nicoll, B.; Orazio, C.; et al. Destructive Storms in European Forests: Past and Forthcoming Impacts. Final Report to the European Commission-DG Environment; European Forest Institute: Joensuu, Finland, 2010.
Hanewinkel, M.; Peyron, J.-L. The economic impact of storms. In Living with Storm Damage to Forests; Gardiner, B., Schuck, A., Schelhaas, M.-J., Orazio, C., Blennow, K., Nicoll, B., Eds.; European Forest Institute: Joensuu, Finland, 2013; pp. 55-63.
Peyron, J.-L. Des dégâts bien difficiles à évaluer monétairement. Rev. For. Fr. 2002, 31-37, doi:10.4267/2042/4987.
Brunette, M.; Couture, S.; Laye, J. Optimizing Forest Production When Storms Have an Impact on Both Production and Price: A Markov Decision Process Approach; Laboratoire d'Economie Forestière: Nancy, France, 2012.
Prestemon, J.P.; Holmes, T.P. Market dynamics and optimal timber salvage after a natural catastrophe. For. Sci. 2004, 50, 495-511.
Nieuwenhuis, M.; O'Connor, E. Financial impact evaluation of catastrophic storm damage in Irish forestry: A case study. II. Future revenue losses. Forestry 2001, 74, 383-393.
Schwarzbauer, P.; Rauch, P. Impact on industry and markets-Roundwood prices and procurment risks. In Living with Storm Damage to Forests; Gardiner, B., Schuck, A., Schelhaas, M.-J., Orazio, C., Blennow, K., Nicoll, B., Eds.; European Forest Institute: Joensuu, Finland, 2013; pp. 64-69.
Packalen, T.; Marques, A.; Rasinmäki, J.; Rosset, C.; Mounir, F.; Rodriguez, L.C.E.; Nobre, S.R. Review. A brief overview of forest management decision support systems (FMDSS) listed in the FORSYS wiki. For. Syst. 2013, 22, 263-269.
Segura, M.; Ray, D.; Maroto, C. Decision support systems for forest management: A comparative analysis and assessment. Comput. Electron. Agric. 2014, 101, 55-67.
Wibe, S. A simple simulation model for the forest sector. J. For. Econ. 2005, 11, 45-52.
Hanewinkel, M.; Cullmann, D.A.; Schelhaas, M.J.; Nabuurs, G.J.; Zimmermann, N.E. Climate change may cause severe loss in the economic value of European forest land. Nat. Clim. Chang. 2013, 3, 203-207.
Ochuodho, T.O.; Lantz, V.A. Economic impacts of climate change in the forest sector: A comparison of single-region and multiregional CGE modeling frameworks. Can. J. For. Res. 2014, 44, 449-464.
Sohngen, B.; Mendelsohn, R.; Sedjo, R. A global model of climate change impacts on timber markets. J. Agric. Resour. Econ. 2001, 26, 326-343.
Buongiorno, J.; Zhu, S.; Zhang, D.; Turner, J.; Tomberlin, D. The Global Forest Products Model; Academic Press: San Diego, CA, USA, 2003.
Kong, J.; Rönnqvist, M.; Frisk, M. Modeling an integrated market for sawlogs, pulpwood, and forest bioenergy. Can. J. For. Res. 2012, 42, 315-332.
Karlsson, J.; Rönnqvist, M.; Bergström, J. An optimization model for annual harvest planning. Can. J. For. Res. 2004, 34, 1747-1754.
Murphy, G.; Vanderberg, M. Modelling the economics of extended shifts and 24/7 forest harvesting. N. Z. J. For. Sci. 2007, 52, 15-19.
Spinelli, R.; Hartsough, B.R.; Magagnotti, N. Productivity standards for harvesters and processors in Italy. For. Prod. J. 2010, 60, 226-235.
Forsberg, M.; Frisk, M.; Rönnqvist, M. FlowOpt-A decision support tool for strategic and tactical transportation planning in forestry. Int. J. For. Eng. 2005, 16, 101-114.
Carlgren, C.G.; Carlsson, D.; Rönnqvist, M. Log sorting in forest harvest areas integrated with transportation planning using backhauling. Scand. J. For. Res. 2006, 21, 260-271.
Frisk, M.; Göthe-Lundgren, M.; Jörnsten, K.; Rönnqvist, M. Cost allocation in collaborative forest transportation. Eur. J. Oper. Res. 2010, 205, 448-458.
Weintraub, A.; Romero, C. Operations research models and the management of agricultural and forestry resources: A review and comparison. Interfaces 2006, 36, 446-457.
D'Amours, S.; Rönnqvist, M.; Weintraub, A. Using operational research for supply chain planning in the forest products industry. INFOR 2008, 46, 265-281.
Chesneau, J.B.; Le Net, E.; Berg, S. A transport tool to evaluate sustainability impacts of transport processes within the forest wood chain. Eur. J. For. Res. 2012, 131, 73-80.
Palander, T.; Voutilainen, J. A decision support system for optimal storing and supply of wood in a Finnish CHP plant. Renew. Energy 2013, 52, 88-94.
Broman, H.; Frisk, M.; Rönnqvist, M. Supply chain planning of harvest and transportation operations after the storm Gudrun. INFOR 2009, 47, 235-245.
Forrester, J.W. System dynamics, systems thinking, and soft OR. Syst. Dyn. Rev. 1994, 10, 245-256.
Bousquet, F.; le Page, C. Multi-agent simulations and ecosystem management: A review. Ecol. Model. 2004, 176, 313-332.
Collins, R.D.; de Neufville, R.; Claro, J.; Oliveira, T.; Pacheco, A.P. Forest fire management to avoid unintended consequences: A case study of Portugal using system dynamics. J. Environ. Manag. 2013, 130, 1-9.
Stern, T.; Ledl, C.; Braun, M.; Hesser, F.; Schwarzbauer, P. Biorefineries' impacts on the Austrian forest sector: A system dynamics approach. Technol. Forecast. Soc. 2015, 91, 311-326.
Schwarzbauer, P.; Weinfurter, S.; Stern, T.; Koch, S. Economic crises: Impacts on the forest-based sector and wood-based energy use in Austria. For. Policy Econ. 2013, 27, 13-22.
Buongiorno, J. Forest sector modeling: A synthesis of econometrics, mathematical programming, and system dynamics methods. Int. J. Forecast. 1996, 12, 329-343.
Mentzer, J.T.; DeWitt, W.; Keebler, J.S.; Min, S.; Nix, N.W.; Smith, C.D.; Zacharia, Z.G. Defining supply chain management. J. Bus. Logist. 2001, 22, 1-25.
Riguelle, S.; Hébert, J.; Jourez, B. Un outil d'aide à la décision pour la gestion des chablis en Région wallonne. Innov. Agron. 2009, 6, 113-123.
Sanchez, C.; Hébert, J.; Rondeux, J. Analyse des prix de ventes des bois en forêts publiques. For. Wallonne 2004, 73, 30-34.
Kallio, A.M.I. Accounting for uncertainty in a forest sector model using Monte Carlo simulation. For. Policy Econ. 2010, 12, 9-16.
Jiménez-Montealegre, R.; Verdegem, M.C.J.; van Dam, A.; Verreth, J.A.J. Conceptualization and validation of a dynamic model for the simulation of nitrogen transformations and fluxes in fish ponds. Ecol. Model. 2002, 147, 123-152.
Muys, B.; Hynynen, J.; Palahi, M.; Lexer, M.J.; Fabrika, M.; Pretzsch, H.; Gillet, F.; Briceño, E.; Nabuurs, G.-J.; Kint, V. Simulation tools for decision support to adaptive forest management in Europe. For. Syst. 2010, 19, 86-99.
Mortier, F.; Bartet, J.H. Intégrons la culture de gestion de crise en milieu naturel notamment à la lumière de l'expérience des tempêtes de 1999. Rev. For. Fr. 2004, 56, 307-321.
Bavard, D.; de Lagarde, O.; Magrum, M. évaluation du Volet Mobilisation des Bois Chablis-Plan de Solidarité Nationale Consécutif à La Tempête Klausdu 24 Janvier 2009; Conseil général de l'alimentation; de l'agriculture et des espaces ruraux (CGAAER); Ministère de l'Agriculture; de l'Agroalimentaire et de la Forêt (MAAF): Pairs, France, 2013; p. 243.
Barthod, C. Les tempêtes de 1999 vues comme un révélateur du système-acteurs forestier. In La Forêt Face Aux Tempêtes; Birot, Y., Landmann, G., Bonhême, I., Eds.; Quae: Versailles, France, 2009; pp. 7-11.
Raetz, P. Les Enseignements de La Gestion D'une Crise. Synthèse Du Programme de Recherche Lothar; Office fédéral de l'environnement, des forêts et du paysage: Berne, Suisse, 2004; p. 84.
Vanclay, J. Unsuspected implications arising from assumptions in simulations: Insights from recasting a forest growth model in system dynamics. For. Ecosyst. 2014, 1, 1-10.
Reynolds, K.; Twery, M.; Lexer, M.J.; Vacik, H.; Ray, D.; Shao, G.; Borges, J.G. Decision support systems in natural resource management. In Handbook on Decision Support Systems; Burnstein, F., Holsapple, C., Eds.; Springer: Berlin, Germany; Heidelberg, Germany, 2008; Volume 2, pp. 499-534.
Garcia-Gonzalo, J.; Palma, J.; Freire, J.; Tomé, M.; Mateus, R.; Rodriguez, L.C.E.; Bushenkov, V.; Borges, J.G. A decision support system for a multi stakeholder's decision process in a Portuguese National Forest. For. Syst. 2013, 22, 359-373.
Voinov, A.; Bousquet, F. Modelling with stakeholders. Environ. Model. Softw. 2010, 25, 1268-1281.
Hujala, T.; Khadka, C.; Wolfslehner, B.; Vacik, H. Review. Supporting problem structuring with computer-based tools in participatory forest planning. For. Syst. 2013, 22, 270-281.
Shim, J.P.; Warkentin, M.; Courtney, J.F.; Power, D.J.; Sharda, R.; Carlsson, C. Past, present, and future of decision support technology. Decis. Support Syst. 2002, 33, 111-126.
Tuomasjukka, D.; Lindner, M.; Edwards, D. A concept for testing decision support tools in participatory processes applied to the ToSIA tool. Challenges 2013, 4, 34-55.
Gardiner, B.; Byrne, K.; Hale, S.; Kamimura, K.; Mitchell, S.J.; Peltola, H.; Ruel, J.C. A review of mechanistic modelling of wind damage risk to forests. Forestry 2008, 81, 447-463.
Hanewinkel, M.; Hummel, S.; Albrecht, A. Assessing natural hazards in forestry for risk management: A review. Eur. J. For. Res. 2011, 130, 329-351.