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Downscaling scenarios of future land use and land cover changes using a participatory approach: an application to mountain risk assessment in the Pyrenees (France)

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Abstract

Better understanding the pathways through which future socioeconomic changes might influence land use and land cover changes (LULCCs) is a crucial step in accurately assessing the resilience of societies to mountain hazards. Participatory foresight involving local stakeholders may help building fine-scale LULCC scenarios that are consistent with the likely evolution of mountain communities. This paper develops a methodology that combines participatory approaches in downscaling socioeconomic scenarios with LULCC modelling to assess future changes in mountain hazards, applied to a case study located in the French Pyrenees. Four spatially explicit local scenarios are built each including a narrative, two future land cover maps up to 2040 and 2100, and a set of quantified LULCC. Scenarios are then used to identify areas likely to encounter land cover changes (deforestation, reforestation, and encroachment) prone to affect gravitational hazards. In order to demonstrate their interest for decision-making, future land cover maps are used as input to a landslide hazard assessment model. Results highlight that reforestation will continue to be a major trend in all scenarios and confirm that the approach improves the accuracy of landslide hazard computations. This validates the interest of developing fine-scale LULCC models that account for the local knowledge of stakeholders.

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References

  • Alcamo J (2008) The SAS approach: combining qualitative and quantitative knowledge in environmental scenarios. In: Alcamo J (ed) Environmental futures: the practice of environmental scenario analysis. Elsevier, Amsterdam, pp 123–150

    Chapter  Google Scholar 

  • Baills A, Vandromme R, Desramaut N, Sedan O, Grandjean G (2012) Changing patterns in climate-driven landslide hazard: an alpine test site. The second world landslides forum Oct 2011. Springer-Verlag, Rome, p 4

    Google Scholar 

  • Batllori E, Camarero JJ, Gutierrez E (2010) Current regeneration patterns at the tree line in the Pyrenees indicate similar recruitment processes irrespective of the past disturbance regime. J Biogeogr 37:1938–1950. doi:10.1111/j.1365-2699.2010.02348.x

    Google Scholar 

  • Borsdorf A, Stötter J, Grabherr G, Bender O, Marchant C, Sánchez R (2015) Impacts and risks of global change. In: Grover VI, Borsdorf A, Breuste J, Tiwari CP, Witkowski Frangetto F (eds) Impact of global changes on mountains. Responses and adaptation. CRC Press, Boca Raton, pp 33–76

    Google Scholar 

  • Bourgau J M, Bertin M, Lerat J F, Monnot J G, Morin G A, Poss Y (2008) La forêt française en 2050–2100, Essai de prospective, Conseil Général de l’Agriculture, de l’Alimentation et des Espaces Ruraux, http://agriculture.gouv.fr/telecharger/69218?token=dd68fdb058b8ed13ec1d77cf75b16fd1. Accessed 28 Feb 2017

  • Brang P, Schönenberger W, Ott E, Gardner B (2001) Forests as protection from natural hazards. In: Evans J (ed) The forests handbook. Vol. 2: Applying forest science for sustainable management Blackwell Science, Oxford, pp 53–81

  • Brown DG, Page S, Riolo R, Zellner M, Rand W (2005) Path dependence and the validation of agent-based models of land use. Int J Geogr Inf Sci 19(2):153–174. doi:10.1080/13658810410001713399

    Article  Google Scholar 

  • Caron P (1997) Le zonage régional à dires d’acteurs. Connaître, représenter, planifier, agir, une méthodologie expérimentée dans le Nordeste du Brésil. Actes du Séminaire dynamiques agraires et construction sociale du territoire 26–28/04/1999, Montpellier http://www.supagro.fr/documentation/doc_irc/Publications/etudes_travaux18/052%20connaitre%20representer.pdf Accessed 28 Feb 2017

  • Caron P, Cheylan JP (2005) Donner sens à l’information géographique pour accompagner les projets de territoire : cartes et représentations spatiales comme supports d’itinéraires croisés. Géocarrefour 80(2):111–122. doi:10.4000/geocarrefour.1031

  • Carter TR, La Rovere EL, Jones RN, Leemans R, Mearns LO, Nakicenovic N, Pittock AB, Semenov SM, Skea J (2001) Developing and applying scenarios. In: McCarthy JJ, Canziani OF, Leary NA, Docken DJ, White KS (eds) Climate change 2001: impacts, adaptation, and vulnerability. Contribution of working group II to the third assessment report of the intergovernmental panel on climate change. Cambridge University Press, Cambridge, pp 145–190

  • Dupire S, Bourrier F, Monnet JM, Berger F (2015) Sylvaccess : un modèle pour cartographier automatiquement l’accessibilité des forêts. Revue forestière française 2:16. doi:10.4267/2042/57902

    Google Scholar 

  • Dupire S, Bourrier F, Berger F (2016) Predicting load path and tensile forces during cable yarding operations on steep terrain. J For Res 21(1):1–14. doi:10.1007/s10310-015-0503-4

    Article  Google Scholar 

  • EEA (2007) Land–use scenarios for Europe: qualitative and quantitative analysis on a European scale, PRELUDE, European Environment Agency Technical Report No 9/2007 http://www.eea.europa.eu/publications/technical_report_2007_9/at_download/file Accessed 28 Feb 2017

  • Forbes K, Broadhead J (2013) Forests and landslides. The role of trees and forests in the prevention of landslides and rehabilitation of landslide-affected areas in Asia. Second edition. Food and Agriculture Organization of the United Nations Regional Office for Asia and the Pacific Bangkok

  • Fuchs R, Verburg PH, Clevers J, Herold M (2015a) The potential of old maps and encyclopedias for reconstructing historic European land cover/use change. Appl Geogr 59:43–55. doi:10.1016/j.apgeog.2015.02.013

    Article  Google Scholar 

  • Fuchs R, Herold M, Clevers J, Verburg PH (2015b) Net change versus gross change in historic land use reconstructions. Change Biology 21(1):299–313. doi:10.1111/gcb.12714

    Article  Google Scholar 

  • Galop D, Houet T, Mazier F, Leroux G, Rius D (2011) Grazing activities and biodiversity history in the Pyrénées – the use of paleoecology and historical ecology to provide new insights on high-altitude ecosystems in the framework of a human-environment observatory. PAGES News 19(2):53–56. http://www.pages-igbp.org/download/docs/newsletter/2011-2/Galop_etal_2011-2(53-55).pdf

  • Genet M, Stokes A, Fourcaud T, Norris JE (2010) The influence of plant diversity on slope stability in a moist evergreen deciduous Forest. Ecol Eng 36(3):265–275. doi:10.1016/j.ecoleng.2009.05.018

    Article  Google Scholar 

  • Gibon A, Sheeren D, Monteil C, Ladet S, Balent G (2010) Modelling and simulating change in reforesting mountain landscapes using a social-ecological framework. Landsc Ecol 25(2):267–285. doi:10.1007/s10980-009-9438-5

    Article  Google Scholar 

  • Godet M, Roubelat F (1996) Creating the future: the use and misuse of scenarios. Long Range Plan 29(2):164–171. doi:10.1016/0024-6301(96)00004-0

    Article  Google Scholar 

  • Graveline N, Loubier S, Gleyses G, Rinaudo JD (2012) Impact of farming on water resources: assessing uncertainty with Monte Carlo simulations in a global change context. Agric Syst 108:29–41. doi:10.1016/j.agsy.2012.01.002

    Article  Google Scholar 

  • Graveline N, Auney B, Fusillier JL, Rinaudo JD (2014) Coping with urban and agriculture water demand uncertainty in water management plan design: the interest of participatory scenario analysis. Water Resource Management 28:3075–3093. doi:10.1007/s11269-014-0656-5

    Article  Google Scholar 

  • Hérivaux C (2015) Bilan des prospectives Agriculture-Eau-Territoires en France : scénarios, facteurs de changement et utilisation pour la mise en œuvre de la DCE. BRGM/RP-63084-FR

  • Houet T (2015) Usages de modèles spatiaux pour la prospective. Revue Internationale de Géomatique 25(1):123–143. doi:10.3166/rig.25.123-143

    Article  Google Scholar 

  • Houet T, Loveland TR, Hubert-Moy L, Napton D, Gaucherel C, Barnes C (2010) Exploring subtle land use and land cover changes: a framework based on future landscape studies. Landsc Ecol 25(2):249–266. doi:10.1007/s10980-009-9362-8

    Article  Google Scholar 

  • Houet T, Schaller N, Castets M, Gaucherel C (2014) Improving the simulation of fine scale landscape changes coupling top-down and bottom-up land use and cover changes rules. International Journal of Geographical Science 28(9):1848–1876. doi:10.1080/13658816.2014.900775

    Article  Google Scholar 

  • Houet T, Vacquié L, Sheeren D (2015) Evaluating the spatial uncertainty of future land abandonment in a mountainous valley (Vicdessos, Pyrenees - France): insights from model parameterization and experiments. The Journal of Mountain Science 12(5):1095–1112. doi:10.1007/s11629-014-3404-7

    Article  Google Scholar 

  • Houet T, Aguejdad R, Doukari O, Battaia G, Clarke K (2016a) Description and validation of a ‘non path-dependent’ model for projecting contrasting urban growth futures, Cybergeo, 759, http://cybergeo.revues.org/27397 Accessed 28 Feb 2017

  • Houet T, Marchadier C, Bretagne G, Moine MP, Aguejdad R, Viguié V, Bonhomme M, Lemonsu A, Avner P, Hidalgo J, Masson V (2016b) Combining narratives and modeling approaches to simulate fine scale and long-term urban growth scenarios for climate adaptation. Environ Model Softw 86:1–13. doi:10.1016/j.envsoft.2016.09.010

    Article  Google Scholar 

  • IPCC (2012) Summary for policymakers. In: Field CB, Barros VR, Stocker TF, Qin D, Dokken DJ, Ebi KL (eds) Managing the risks of extreme events and disasters to advance climate change adaptation. A special report of working groups I and II of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge, pp 1–19 https://www.ipcc.ch/pdf/special-reports/srex/SREX_FD_SPM_final.pdf Accessed 24 April 2017

  • IPCC (2014) Summary for policymakers. In: Field C B, Barros V R, Dokken D J, Mach K J, Mastrandrea M D, Bilir T E, Chatterjee M, Ebi K L, Estrada Y O, Genova R C, Girma B, Kissel E S, Levy A N, MacCracken S, Mastrandrea P R and White L L (eds.) Climate change 2014: impacts, adaptation, and vulnerability. Summaries, frequently asked questions, and cross-chapter boxes. A contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change: World Meteorological Organization, Geneva, Switzerland, pp. 1–32. https://www.ipcc.ch/pdf/assessment-report/ar5/wg2/WGIIAR5-IntegrationBrochure_FINAL.pdf Accessed 24 April 2017

  • Katz RW, Brown BG (1992) Extreme events in a changing climate: variability is more important than averages. Clim Chang 21:289–302. doi:10.1007/BF00139728

    Article  Google Scholar 

  • Kohler T, Wehrli A, Jurek M (2014) Mountains and climate change: a global concern. Sustainable Mountain Development Series. Bern, Centre for Development and Environment (CDE), Swiss Agency for Development and Cooperation (SDC) and Geographica Bernensia

  • Kok K (2009) The potential of fuzzy cognitive maps for semi-quantitative scenario development, with an example from Brazil. Glob Environ Chang 19:122–133. doi:10.1016/j.gloenvcha.2008.08.003

    Article  Google Scholar 

  • Kokutse NK, Temgoua AGT, Kavazović Z (2016) Slope stability and vegetation: conceptual and numerical investigation of mechanical effects. Ecol Eng 86:146–153. doi:10.1016/j.ecoleng.2015.11.005

    Article  Google Scholar 

  • Kolb M, Mas JF, Galicia L (2013) Evaluating drivers and transition potential models in a complex landscape in southern Mexico. Int J Geogr Inf Sci 27(9):1804–1827. doi:10.1080/13658816.2013.770517

    Article  Google Scholar 

  • Kozak J, Estreguil C, Troll M (2007) Forest cover changes in the northern Carpathians in the 20th century: a slow transition. Journal of Land Use Science 2:127–146. doi:10.1080/17474230701218244

  • Liu J, Hull V, Batistella M, DeFries R, Dietz T, Fu F, Hertel T, Izaurralde C, Lambin E, Li S, Martinelli L, McConnell W, Moran E, Naylor R, Ouyang Z, Polenske K, Reenberg A, de Miranda G, Simmons C, Verburg PH, Vitousek P, Zhang F, Zhu C (2013) Framing sustainability in a telecoupled world. Ecol Soc 18(2):26. doi:10.5751/ES-05873-180226

    Article  CAS  Google Scholar 

  • Malek Z, Boerboom L (2015) Participatory scenario development to address potential impacts of land use change: an example from the Italian Alps. Mt Res Dev 35(2):126–138. doi:10.1659/MRDJOURNAL-D-14-00082.S1

    Article  Google Scholar 

  • Mallampalli VR, Mavrommati G, Thompson J, Duveneck M, Meyer S, Ligmann-Zielinska A, Gottschalk Druschke C, Hychka K, Kenney MA, Kok K, Borsuk ME (2016) Methods for translating narrative scenarios into quantitative assessments of land use change. Environ Model Softw 82:7–20. doi:10.1016/j.envsoft.2016.04.011

    Article  Google Scholar 

  • Mas JF, Kolb M, Paegelow M, Camacho Olmedo MT, Houet T (2014) Modeling land use / cover changes: a comparison of conceptual approaches and softwares. Environ Model Softw 51:94–111. doi:10.1016/j.envsoft.2013.09.010

    Article  Google Scholar 

  • Mather AS (1992) The forest transition. Area 24(4):367–379. http://www.jstor.org/stable/20003181

  • Moos C, Bebi P, Graf F, Mattli J, Rickli C, Schwarz M (2016) How does forest structure affect root reinforcement and susceptibility to shallow landslides? Earth Surf Process Landf 41:951–960. doi:10.1002/esp.3887

    Article  Google Scholar 

  • Müller D, Sun Z, Vongvisouk T, Pflugmacher D, Xu J, Mertz O (2014) Regime shifts limit the predictability of land-system change. Glob Environ Chang 28:75–83. doi:10.1016/j.gloenvcha.2014.06.003

    Article  Google Scholar 

  • Olesen JO, Bindi M (2002) Consequences of climate change for European agricultural productivity, land use and policy. Eur J Agron 16(4):239–262. doi:10.1016/S1161-0301(02)00004-7

    Article  Google Scholar 

  • Papathoma-Köhle M, Kappes M, Keiler M, Glade T (2011) Physical vulnerability assessment for alpine hazards:state of the art and future needs. Nat Hazards 58:645–680. doi:10.1007/s11069-010-9632-4

    Article  Google Scholar 

  • Pérez-Soba M, Paterson J, Metzger M (2015). Visions of future land use in Europe: stakeholder visions for 2040. VOLANTE project report, Alterra Wageningen UR http://www.volante-project.eu/docs/visions.pdf Accessed 28 Feb 2017

  • Petit M, El Hadad-Gauthier F (2014) Review of prospective studies for mediterranean agriculture: implications for agricultural research. http://www.iamm.ciheam.org/ress_doc/opac_css/doc_num.php?explnum_id=14385 Accessed 28 Feb 2017

  • Price B, Kienast F, Seidl I, Ginzler C, Verburg PH, Bolliger J (2015) Future landscapes of Switzerland: risk areas for urbanisation and land abandonment. Appl Geogr 57:32–41. doi:10.1016/j.apgeog.2014.12.009

    Article  Google Scholar 

  • Promper C, Puissant A, Malet JP, Glade T (2014) Analysis of land cover changes in the past and the future as contribution to landslide risk scenarios. Appl Geogr 53:11–19. doi:10.1016/j.apgeog.2014.05.020

    Article  Google Scholar 

  • Promper C, Gassner C, Glade T (2015) Spatiotemporal patterns of landslide exposure—a step within future landslide risk analysis on a regional scale applied in Waidhofen/Ybbs Austria. Int J Disaster Risk Reduction 12:25–33. doi:10.1016/j.ijdrr.2014.11.003

    Article  Google Scholar 

  • Reichenbach P, Busca C, Mondini AC, Rossi M (2014) The influence of land use change on landslide susceptibility zonation: the Briga catchment test site (Messina, Italy). Environ Manag 54(6):1372–1384. doi:10.1007/s00267-014-0357-0

    Article  CAS  Google Scholar 

  • Rey Benayas JM, Martins A, Nicolau JM et al. (2007) Abandonment of agricultural land. An overview of drivers and consequences. CAB Reviews: Persp. 57:14. http://www3.uah.es/josemrey/Reprints/ReyBenayasetal_Landabandonment_Perspectives_07.pdf Accessed 28 Feb 2017

  • Rinaudo JD, Maton L, Matona L, Terrason I, Chazot S, Richard-Ferroudji A, Caballeroa Y (2013) Combining scenario workshops with modelling to assess future irrigation water demand. Agric Water Manag 130:103–112. doi:10.1016/j.agwat.2013.08.016

    Article  Google Scholar 

  • Rounsevell MDA, Reginster I, Arajo MB, Carter TR, Dendoncker N, Ewert F, House JI, Kankaanpää S, Leemans R, Metzger MJ, Schmit C, Smith P, Tuck G (2006) A coherent set of future land use change scenarios for Europe. Agric Ecosyst Environ 114:57–68. doi:10.1016/j.agee.2005.11.027

    Article  Google Scholar 

  • Rousselot M, Durand Y, Giraud G, Mérindol L, Dombrowski-Etchevers I, Déqué M, Castebrunet H (2012) Statistical adaptation of ALADIN RCM outputs over the French Alps—application to future climate and snow cover. Cryosphere 6:785–805. doi:10.5194/tc-6-785-2012 2012

    Article  Google Scholar 

  • Rozenberg J, Hallegatte S, Vogt-Schilb A, Sassi O, Guivarch C, Waisman H, Hourcade JC (2010) Climate policies as a hedge against the uncertainty on future oil supply. Clim Chang 101(3–4):663–668. doi:10.1007/s10584-010-9868-8

    Article  Google Scholar 

  • Soares-Filho BS, Coutinho Cerqueira G (2002) DINAMICA—a stochastic cellular automata model designed to simulate the landscape dynamics in an Amazonian colonization frontier. Ecol Model 154:217–235. doi:10.1016/S0304-3800(02)00059-5

    Article  Google Scholar 

  • Stürck J, Schulp CJE, Verburg PH (2015a) Spatio-temporal dynamics of regulating ecosystem services in Europe—the role of past and future land use change. Appl Geogr 63:121–135. doi:10.1016/j.apgeog.2015.06.009

    Article  Google Scholar 

  • Stürck J, Levers C, van der Zanden EH, Schulp CJE, Verkerk PJ, Kuemmerle T, Helming J, Lotze-Campen H, Tabeau A, Popp A, Schrammeijer E, Verburg PH (2015b) Simulating and delineating future land change trajectories across Europe. Reg Environ Chang:1–17. doi:10.1007/s10113-015-0876-0

  • Theurillat JP, Guisan A (2001) Potential impact of climate change on vegetation in the European Alps: a review. Clim Chang 50:77–109. doi:10.1023/A:1010632015572

    Article  CAS  Google Scholar 

  • Thomas RE, Pollen-Bankhead N (2010) Modeling root-reinforcement with a fiber-bundle model and Monte Carlo simulation. Ecol Eng 36(1):47–61. doi:10.1016/j.ecoleng.2009.09.008

    Article  Google Scholar 

  • Vacquié L, Houet T, Sohl T, Reeker R, Sayler K (2015) Developing scenarios to project LULC changes in the Pyrenees (France): a model-based approach to assess land abandonment and reforestation dynamics. J Mt Sci 12(4):905–920. doi:10.1007/s11629-014-3405-6

    Article  Google Scholar 

  • Verburg PH, Van Berkel D, Van Doorn A, Van Eupen E, Van den Heiligenberg H (2010) Trajectories of land use change in Europe: a model-based exploration of rural futures. Landsc Ecol 2(25):217–232. doi:10.1007/s10980-009-9347-7

    Article  Google Scholar 

  • Verburg PH, Tabeau A, Hatna E (2013) Assessing spatial uncertainties of land allocation using a scenario approach and sensitivity analysis: a study for land use in Europe. J Environ Manag:S127–S132. doi:10.1016/j.jenvman.2012.08.038

  • Verburg PH, Dearing JA, Dyke JG, van der Leeuw S, Seitzinger S, Steffen W, Syvitski J (2016) Methods and approaches to modelling the Anthropocene. Glob Environ Chang 82:7–20. doi:10.1016/j.gloenvcha.2015.08.007

    Google Scholar 

  • Verkerk PJ, Lindner M, Pérez-Soba M, Paterson JS, Helming J, Verburg PH, Kuemmerle T, Lotze-Campen H, Moiseyev A, Müller D, Popp A, Schulp CJE, Stürck J, Tabeau A, Wolfslehner B, van der Zanden EH (2016) Identifying pathways to visions of future land use in Europe. Reg Environ Chang:1–14. doi:10.1007/s10113-016-1055-7

  • Vert J, Portet F (2010) Prospective Agriculture Énergie 2030. L’agriculture face aux défis énergétiques, Centre d’études et de prospective, Ministère de l’Agriculture, de l’Alimentation, de la Pêche, de la ruralité et de l’Aménagement du territoire. http://agriculture.gouv.fr/telecharger/70767?token=24c17e1846287fad87e4bef21e30079c Accessed 28 Feb 2017

  • Vert J, Schaller N, Villien C (2013) Agriculture Forêt Climat: vers des stratégies d’adaptation, Centre d’études et de prospective, Ministère de l’Agriculture, de l’Agroalimentaire et de la Forêt. http://agriculture.gouv.fr/telecharger/54567?token=1923b22f9b4b2aa312d7256ca7d151fb Accessed 28 Feb 2017

  • van Vliet M, Kok K, Veldkamp T (2010) Linking stakeholders and modellers in scenario studies: the use of fuzzy cognitive maps as a communication and learning tool. Futures 42(1):1–14. doi:10.1016/j.futures.2009.08.005

    Article  Google Scholar 

  • Voinov A, Bousquet F (2010) Modelling with stakeholders. Environ Model Softw 25(11):1268–1281. doi:10.1016/j.envsoft.2010.03.007

    Article  Google Scholar 

  • van Vuuren DP, Kok MTJ, Girod B, Lucas PL, de Vries B (2014) Scenarios in global environmental assessments: key characteristics and lessons for future use. Glob Environ Chang 22(4):884–895. doi:10.1016/j.gloenvcha.2012.06.001

    Article  Google Scholar 

  • Wiek A, Withycombe Keeler L, Schweizer V, Lang DJ (2013) Plausibility indications in future scenarios. Int J Foresight Innov Policy 9(2/3/4):133–147. doi:10.1504/IJFIP.2013.058611

    Article  Google Scholar 

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Acknowledgments

This study was part of the Society Adaptation for coping with Mountain risks in a global change Context (SAMCO) project funded by the French National Research Agency (ANR 12 SENV-0004 SAMCO). We would like to thank the Pyrenees National Park for providing historical GIS data, and the reviewers for their constructive comments on the earlier draft.

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Houet, T., Grémont, M., Vacquié, L. et al. Downscaling scenarios of future land use and land cover changes using a participatory approach: an application to mountain risk assessment in the Pyrenees (France). Reg Environ Change 17, 2293–2307 (2017). https://doi.org/10.1007/s10113-017-1171-z

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