Global Field Trends & Insights
北京师范大学缪驰远教授团队对1900至2022年间全球超22万个降水地面观测站的长期数据进行了深度分析，识别出需要优先加密建站的区域，为优化全球降水观测系统布局提供科学支撑。
Professor Miao Chiyuan's team from Beijing Normal University analyzed long-term data from over 220,000 global precipitation stations to identify priority regions for new stations.
Christoph Müller在《Science》撰文指出，当前农业生产的卡路里已远超人类所需，呼吁将粮食安全的责任果断转移至社会和经济体系，使农业研究能够真正专注于提升系统韧性、环境完整性和农民福祉。
Christoph Müller argues in Science that agriculture should be released from the food security mandate, shifting the focus to system resilience and environmental integrity.
由张继贤研究员团队发布的“莫干·玄衍”地理空间大模型，通过深度学习和智能推理，有望打破数据孤岛，提升全球生态环境治理水平。
The "Mogan-Xuanyan" geospatial foundation model aims to break data silos and enhance global ecological governance through deep learning and intelligent reasoning.
Miranda Meuwissen 教授团队提出了将韧性定义为面对冲击时通过稳健性、适应性和可转换性来确保系统功能能力的评估框架。
Professor Miranda Meuwissen's team proposed a framework defining resilience as the capacity to ensure system functions through robustness, adaptability, and transformability.
彭长生教授团队实证研究发现，该政策对提升粮食生产气候韧性具有显著正向促进作用，尤其在增强复原力方面表现突出。
Professor Peng Changsheng's study shows the policy significantly boosts climate resilience, particularly in enhancing recovery capacities.