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

被引:0
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作者
Thomas Houet
Marine Grémont
Laure Vacquié
Yann Forget
Apolline Marriotti
Anne Puissant
Séverine Bernardie
Yannick Thiery
Rosalie Vandromme
Gilles Grandjean
机构
[1] Université Rennes 2,CNRS, Research laboratory on Littoral, Environment, Geomatic and Remote Sensing (LETG) UMR 6554
[2] Université Toulouse Jean-Jaurès,CNRS Research laboratory on Environmental Geography UMR 5602
[3] BRGM Unité Nouvelles ressources en eau et économie,Spatial Epidemiology Laboratory
[4] Université de Montpellier,CNRS, Research Laboratory on Image, Urban and Environment (LIVE) UMR 7362 CNRS
[5] Université Libre de Bruxelles,undefined
[6] BRGM Unité Risque des Instabilités Gravitaires et Erosion des versants,undefined
[7] Université Strasbourg,undefined
来源
关键词
Land use and land cover changes; Modelling; Future; Narratives; Stakeholders;
D O I
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学科分类号
摘要
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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页码:2293 / 2307
页数:14
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