Chen Mulin, Yang Linsheng, Li Hairong
Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China.
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China.
Sci Data. 2025 Jul 5;12(1):1152. doi: 10.1038/s41597-025-05485-9.
Building on the vast heterogeneity in dietary practices and population size across China, which has contributed to profound regional disparities in food demand, this study incorporated provincial-level dietary preferences and energy needs across different age groups, genders, and residential statuses to project future regional dietary patterns and food demand in China across the five shared socio-economic pathway (SSP) scenarios. The projected diets were proven to be consistent with Chinese dietary practices and fulfilled macronutritrient requirements, compared to dietary guidelines from the EAT-Lancet Commission, the Chinese Nutrition Society, and major peer studies. The dataset covers raw grain demand for 13 major food categories-including rice, wheat, maize, highland barley, tubers, beans, pork, beef, mutton, poultry, aquatic products, eggs, and dairy products-at the provincial level, spanning 2020 to 2100. Diet directly relates to food security, human health, and environmental sustainability. The developed dataset provides detailed demand information at both spatial and food-specific levels, offering valuable insights for conducting food management strategies tailored to regional needs and optimizing resource allocation strategies.
基于中国各地饮食习俗和人口规模的巨大差异,这导致了食品需求的深刻区域差异,本研究纳入了不同年龄组、性别和居住状况的省级饮食偏好和能量需求,以预测中国在五个共享社会经济路径(SSP)情景下未来的区域饮食模式和食品需求。与EAT-柳叶刀委员会、中国营养学会和主要同行研究的饮食指南相比,预测的饮食被证明符合中国的饮食习俗并满足宏量营养素需求。该数据集涵盖了2020年至2100年省级层面13种主要食品类别的原粮需求,包括大米、小麦、玉米、青稞、块茎、豆类、猪肉、牛肉、羊肉、家禽、水产品、鸡蛋和乳制品。饮食直接关系到粮食安全、人类健康和环境可持续性。所开发的数据集在空间和特定食品层面提供了详细的需求信息,为制定符合区域需求的食品管理策略和优化资源分配策略提供了有价值的见解。