Blanco Victor, Brown Calum, Holzhauer Sascha, Vulturius Gregor, Rounsevell Mark D A
Institute of Geography and the Lived Environment, School of Geosciences, University of Edinburgh, Drummond Street, Edinburgh EH8 9XP, United Kingdom.
Institute of Geography and the Lived Environment, School of Geosciences, University of Edinburgh, Drummond Street, Edinburgh EH8 9XP, United Kingdom; Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research, Atmospheric Environmental Research (IMK-IFU), Kreuzeckbahnstraße 19, 82467 Garmisch-Partenkirchen, Germany.
J Environ Manage. 2017 Jul 1;196:36-47. doi: 10.1016/j.jenvman.2017.02.066. Epub 2017 Mar 8.
Adaptation is necessary to cope with or take advantage of the effects of climate change on socio-ecological systems. This is especially important in the forestry sector, which is sensitive to the ecological and economic impacts of climate change, and where the adaptive decisions of owners play out over long periods of time. Relatively little is known about how successful these decisions are likely to be in meeting demands for ecosystem services in an uncertain future. We explore adaptation to global change in the forestry sector using CRAFTY-Sweden; an agent-based model that represents large-scale land-use dynamics, based on the demand and supply of ecosystem services. Future impacts and adaptation within the Swedish forestry sector were simulated for scenarios of socio-economic change (Shared Socio-economic Pathways) and climatic change (Representative Concentration Pathways, for three climate models), between 2010 and 2100. Substantial differences were found in the competitiveness and coping ability of land owners implementing different management strategies through time. Generally, multi-objective management was found to provide the best basis for adaptation. Across large regions, however, a combination of management strategies was better at meeting ecosystem service demands. Results also show that adaptive capacity evolves through time in response to external (global) drivers and interactions between individual actors. This suggests that process-based models are more appropriate for the study of autonomous adaptation and future adaptive and coping capacities than models based on indicators, discrete time snapshots or exogenous proxies. Nevertheless, a combination of planned and autonomous adaptation by institutions and forest owners is likely to be more successful than either group acting alone.
适应对于应对或利用气候变化对社会生态系统的影响至关重要。这在林业部门尤为重要,因为林业部门对气候变化的生态和经济影响较为敏感,而且所有者的适应性决策会在很长一段时间内发挥作用。对于在不确定的未来这些决策在满足生态系统服务需求方面可能有多成功,人们了解得相对较少。我们使用CRAFTY-瑞典模型来探索林业部门对全球变化的适应;这是一个基于主体的模型,它基于生态系统服务的供需来呈现大规模土地利用动态。针对2010年至2100年期间社会经济变化情景(共享社会经济路径)和气候变化情景(代表性浓度路径,适用于三种气候模型),模拟了瑞典林业部门的未来影响和适应情况。随着时间的推移,实施不同管理策略的土地所有者在竞争力和应对能力方面存在显著差异。一般来说,多目标管理被认为是适应的最佳基础。然而,在广大区域,多种管理策略的组合在满足生态系统服务需求方面表现更好。结果还表明,适应能力会随着时间的推移而演变,以应对外部(全球)驱动因素以及个体行为者之间的相互作用。这表明,基于过程的模型比基于指标、离散时间快照或外生代理的模型更适合研究自主适应以及未来的适应和应对能力。尽管如此,机构和森林所有者的计划适应与自主适应相结合可能比任何一方单独行动更成功。