基于地理空间方法的农业-食物系统可持续性与韧性提升研究
Enhancing Sustainability and Resilience of Agri-Food Systems through Geo-spatial Solutions
窦玥
荷兰特温特大学地理信息科学与对地观测学院（ITC）
助理教授
窦玥博士现任荷兰特温特大学地理信息科学与对地观测学院（ITC）助理教授。她于加拿大滑铁卢大学获得博士学位，此前曾在美国密歇根州立大学和荷兰阿姆斯特丹自由大学从事研究工作。
作为一名地理学者和土地系统科学家，窦博士的研究主要聚焦于全球农业食物系统的可持续性与韧性。她是在应用远程耦合框架以理解远距离社会经济与环境相互作用如何驱动地方土地利用变化方面的知名专家，这类相互作用包括国际贸易和政策等。她的研究运用先进的地理空间分析与地理模拟工具，尤其是主体行为模型（ABM）和 Geo-AI，以刻画这些系统中人类行为主体的复杂能动性，从小农户到供应链利益相关者均涵盖其中。
窦玥博士已在多种不同地理情境下开展了广泛研究，包括巴西亚马逊和塞拉多地区、西非以及中国。她的研究成果发表于《Nature Food》《Global Environmental Change》和《Global Food Security》等国际顶尖期刊，目前担任《Journal of Land Use Science》副主编，并担任 BioClima项目（聚焦于气候与生物多样性政策影响的欧盟地平线项目）的项目负责人。
Dr. Yue Dou is an Assistant Professor in the Department LIFE at the Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Netherlands. She earned her PhD from the University of Waterloo, Canada, and previously held research positions at Michigan State University and Vrije Universiteit Amsterdam.
As a geographer and land system scientist, Dr. Dou’s research focuses on the sustainability and resilience of global agri-food systems. She is a leading expert in applying the telecoupling framework to understand how distant socioeconomic and environmental interactions—such as international trade and policy—drive local land-use changes. Her work utilizes advanced geospatial analysis and geo-simulation tools, particularly Agent-Based Modeling (ABM) and Geo-AI, to represent the complex agency of human actors (from smallholders to supply-chain stakeholders) within these systems.
Dr. Yue Dou has conducted extensive research across diverse geographical contexts, including the Brazilian Amazon and Cerrado, West Africa, and China. her research has been published in world-leading journals including Nature Food, Global Environmental Change, and Global Food Security. She currently serves as an Associate Editor for the Journal of Land Use Science and is a PI for the BioClima project, a Horizon project focusing on the impacts of climate and biodiversity policies.
如今，食物的生产地往往与其消费地相距数千英里。这些现代食物系统由复杂的行为主体和全球流动所构成，从而给可持续治理和韧性建设带来了前所未有的挑战。政策往往忽视那些相距遥远却彼此关联的“远程耦合”食物系统之间的反馈机制，即便是出于良好意图的政策，也可能导致大规模森林砍伐的转移效应，或对脆弱群体的粮食安全产生负面影响。
本次讲座提出了一个增强农业食物系统韧性的综合框架。该框架通过考察“缺失的中间环节”，即那些常常被忽视的价值链行为主体和结构，同时借助先进的地理空间数据、技术和建模工具，来提升农业食物系统韧性。
我们首先评估当前粮食安全治理的现状，并指出现有模型存在一个关键缺口，即这些模型未能表征完整的供应链，也未能利用按社会群体分解且具有空间显式特征的数据。为弥补这些不足，我们探讨远程耦合主体行为模型的应用，以理解遥远地区之间的土地利用变化，例如全球大豆扩张。我们还将展示多个来自全球不同地区的案例研究，例如巴西、卢旺达和西非，以说明Geo-AI及相关概念在不同食物系统情境中的作用。
本次讨论的核心之一是面向中国的多维韧性分析方法。在这一部分中，我们整合供给侧重组与需求侧估计，并识别食物流动和运输强度的空间格局。最后，我们利用自然未来框架（NFF）和 CLUMondo，构建面向 2050 年欧洲的多元土地利用情景，使可持续发展目标能够与多样化的社会和环境景观特征相协调。
Nowadays the production of food is often thousands of miles away from where it is consumed. These modern food systems constitute complex actors and global flows, causing unprecedented challenges for sustainability governing and resilience building. Policies frequently overlook the feedback between distantly linked, ‘telecoupled’ food systems, even well-intended policies can cause large-scale deforestation leakages or negatively affect vulnerable people’s food security.
This seminar presents an integrated framework for enhancing agri-food system resilience by investigating the “missing middle”, namely the often-overlooked value-chain actors and structures, and by leveraging advanced geo-spatial data, technology, and modelling tools.
We begin by evaluating the current state of food security governance, noting a critical gap in models that represent the full supply chain and utilize socially disaggregated, spatially explicit data. To address these gaps, we explore the implementation of telecoupled agent-based models to understand land-use changes across distant places, such as global soybean expansion. We also present multiple case studies across the globe (e.g., Brazil, Rwanda, West Africa), demonstrating the power of Geo-AI and concepts in various food system settings. Central to our discussion is a multi-dimensional approach to resilience in China, where we integrate supply-side reorganization and demand-side estimation. and identify spatial patterns of food flow and transport intensity. Finally, we utilize the Nature Futures Framework (NFF) and CLUMondo to develop pluralistic land-use scenarios for Europe 2050 which can align sustainability objectives with diverse social and environmental landscape features.
南京大学建筑与城市规划学院 准聘副教授/特聘研究员
2026年4月8日（星期三） 14:00-16:00
