讲座题目：Global-scale responses of the Blue Planet to climate and environmental changes: Implications for Earth’s greenhouse gas budgets and the climate system
主讲人：Pierre Regnier 教授
主持人：张力伟 研究员
开始时间：2025-11-20 10:00
讲座地址：闵行校区河口海岸大楼A204
主办单位：河口海岸全国重点实验室
报告人简介：
Pierre Regnier教授是布鲁塞尔自由大学（ULB）的全职教授，现为ULB校长欧洲研究顾问，兼任普林斯顿大学杰出客座教授（2023至2025年）和香港科技大学高级客座教授（2025年至今）。Pierre教授是水生生物地球科学领域的世界级知名学者，他和他的研究团队（BGEOSYS）长期致力于碳、氮元素（包括CO2、CH4和N2O）在流域—河口连续体（LOAC）中的生物地球化学循环建模及其在地球系统模型中的整合。作为LOAC对人为碳收支作用研究方向的奠基人，Pierre教授分别在Nature和Nature Geoscience发表了2 篇开创性论文，多次参与编写了IPCC评估报告，并担任欧洲大型LOAC研究项目C-CASCADES的主持人。他同时是全球碳计划（Global Carbon Project）的核心成员，正主导该计划中LOAC模块的整合工作，统筹协调全球百余位研究人员参与LOAC区域碳评估集成研究。在相关领域发表学术论文150余篇，引用超2.1万次，其中13篇发表于Nature（4篇）, Nature Geoscience（3篇）, Nature Climate Change（2篇）, Nature Communications等顶级期刊。
报告内容：
The need to improve the representation of the variability and trends in the transport of carbon (and nutrients) through the land-to-ocean aquatic continuum (LOAC) has been identified as a major knowledge gap in the 6th assessment report of the IPCC1. This incomplete knowledge limits our ability to quantitatively constrain the global budgets of anthropogenic greenhouse gases (GHG: CO2, CH4, N2O) and, ultimately, climate projections. We here briefly review the role of the LOAC in the Earth’s GHG budgets, not only for the present-day fluxes, but also for their anthropogenic perturbations, which result from complex interactions between global change factors (climate and atmospheric composition change) and direct human alterations (e.g., land-use change, hydraulic management). We highlight some major progress recently achieved through combination of data-science, Earth observations and machine-learning, as well as the emerging role of Earth system modeling in the field of LOAC research. Using CO2 as a blueprint, we advocate for a new view of the global carbon cycle that explicitly accounts for LOAC processes, from canopy to open ocean2. The need for community-based ensemble assessments relying on multi-methodological approaches to constrain uncertainties is also stressed, and major remaining knowledge gaps in LOAC science are identified.
