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Integrating local knowledge and science: economic consequences of driftwood harvest in a changing climate

机译:整合当地知识和科学:气候变化导致的浮木采伐的经济后果

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The integration of local knowledge and science represents an opportunity to enhance the understanding of interrelations among climate, hydrology, and socioeconomic systems while providing mutual benefits to scientists and rural communities. Insight from rural Alaskans helped to identify a social-ecological threshold used to model potential driftwood harvest from the Yukon River. Information from residents of Tanana, Alaska, was combined with scientific data to model driftwood harvest rates. Modeling results estimated that between 1980 and 2010, hydrologic factors alone were responsible for a 29% decrease in the annual wood harvest, which approximately balanced a 23% reduction in wood demand because of a decline in number of households. The community’s installation of wood-fired boilers in 2007 created a threshold increase (76%) in wood demand that is not met by driftwood harvest. Modeling analyses of numerous climatic scenarios illustrated that increases in hydrologic variability would decrease the reliability of future driftwood harvest. Economic analyses demonstrated that increased climatic variability could have serious economic consequences for subsistence users while demanding more of their time. Lost time is important because it reduces their availability for performing other subsistence activities and learning to adapt to climate-related challenges. Our research may benefit communities by providing a tool that can be used to predict the timing and duration of driftwood runs. Information gathered from discussions with local stakeholders provided critical information for model development and thus provided a better understanding of regional social-ecological dynamics. Our research also illustrates the potential for regional-scale adaptations to limit the social-ecological impacts of environmental change, while providing economic opportunities and energy independence that reduce their vulnerability to variations in climate.
机译:地方知识与科学的融合为增进对气候,水文学和社会经济系统之间相互关系的理解提供了机会,同时又为科学家和农村社区带来了互惠互利。来自阿拉斯加农村的见识帮助确定了一个社会生态学阈值,该阈值用于模拟来自育空河潜在的浮木采伐。来自阿拉斯加塔纳纳(Tanana)居民的信息与科学数据相结合,为浮木收获率建模。模型结果估计,在1980年至2010年之间,仅水文因素就导致年度木材采伐量减少29%,这大约平衡了由于家庭数量减少而导致的木材需求量减少23%。该社区在2007年安装了燃木锅炉,使木材需求量增加了76%,这是浮木采伐无法满足的。对多种气候情景的模型分析表明,水文变异性的增加会降低未来浮木采伐的可靠性。经济分析表明,气候变异性的增加可能给自给型用户带来严重的经济后果,同时又需要更多的时间。浪费时间很重要,因为它会减少他们进行其他谋生活动和学习适应气候相关挑战的能力。我们的研究可能会通过提供一种可以用来预测漂流木运行时间和持续时间的工具而使社区受益。从与当地利益相关者的讨论中收集到的信息为模型开发提供了关键信息,从而更好地了解了区域社会生态动态。我们的研究还表明,区域范围的适应措施有可能限制环境变化的社会生态影响,同时提供经济机会和能源独立性,从而减少其对气候变化的脆弱性。

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