Abstract Many isolated and indigenous Arctic and Subarctic communities are mixed-subsistence-cash economies. In the 20th century, the integration of motorized transport expanded access to harvestable resources but created energy dependence intricately linking food with energy security. As remote communities became more vulnerable to fossil fuel price fluctuations, they also face new challenges related to climate change such as shorter winter seasons. The transitioning from fossil fuels to local renewable energy sources is widely considered both an adaptation and mitigation strategy. We empirically analyzed the food-energy nexus for nine Arctic and Subarctic communities using a Bayesian hierarchical model. We predict household-level gasoline consumption based on wild food harvest and vehicle type. We found that cars and trucks are the least energy efficient forms of transportation whereas snowmobiles are the most efficient. Also, communities with strong traditional wild food production and specialization are more likely to be energy efficient. The results suggest that indigenous culture is an important contributor to effective climate mitigation, energy, and food security. Our analysis supports community adaptation and planning for improved quantitative understanding of the food-energy nexus in rural Arctic communities. The study assists communities with energy transitions away from fossil fuels towards local renewable energy sources.

中文翻译：

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预测野生食物系统的食物-能源关系：为孤立的土著社区提供能源转型信息

摘要 许多孤立的土著北极和亚北极社区是混合自给现金经济体。在 20 世纪，机动交通的整合扩大了对可收获资源的获取，但造成了能源依赖，将粮食与能源安全错综复杂地联系在一起。随着偏远社区变得更容易受到化石燃料价格波动的影响，他们也面临着与气候变化相关的新挑战，例如较短的冬季。从化石燃料过渡到当地可再生能源被广泛认为是一种适应和缓解策略。我们使用贝叶斯分层模型对九个北极和亚北极社区的食物-能源关系进行了实证分析。我们根据野生食物收获和车辆类型预测家庭级汽油消耗量。我们发现汽车和卡车是能源效率最低的交通工具，而雪地摩托的效率最高。此外，拥有强大的传统野生食物生产和专业化能力的社区更有可能实现能源效率。结果表明，土著文化是有效减缓气候变化、能源和粮食安全的重要因素。我们的分析支持社区适应和规划，以提高对北极农村社区食物-能源关系的定量理解。该研究帮助社区将能源从化石燃料转向当地可再生能源。结果表明，土著文化是有效减缓气候变化、能源和粮食安全的重要因素。我们的分析支持社区适应和规划，以提高对北极农村社区食物-能源关系的定量理解。该研究帮助社区将能源从化石燃料转向当地可再生能源。结果表明，土著文化是有效减缓气候变化、能源和粮食安全的重要因素。我们的分析支持社区适应和规划，以提高对北极农村社区食物-能源关系的定量理解。该研究帮助社区将能源从化石燃料转向当地可再生能源。