重大研究计划 · 2026-2033 Major Research Program · 2026-2033

海岸带复杂系统演变与
临界过程
Evolution and Tipping Processes in Complex Coastal Zone Systems
E-Tides

E-Tides 聚焦高强度人类活动和气候变化共同作用下的海岸带复杂系统。海岸线变迁刻画边界重组,C/N/P 足迹刻画通量失衡,临界动力学识别阈值逼近、级联扩散和可干预窗口 E-Tides focuses on complex coastal zone systems under the combined pressure of intensive human activity and climate change. Shoreline change traces boundary reorganization, C/N/P footprints reveal flux imbalance, and tipping dynamics identifies approaching thresholds, cascading risks, and windows for intervention.

2026-2033 3 个核心科学问题3 Science Questions 3 条科学主线3 Scientific Lines 4 个重点区域4 Focus Regions
E-Tides 海岸带复杂系统:河口湿地、潮滩、港口与模型数据层融合的专业科学视觉
01 协同演化机制Co-evolution mechanisms
02 临界动力学Tipping dynamics
03 数字孪生路径Digital-twin pathways
陆海气人耦合界面Coupled land-ocean-atmosphere-society interface 观测更新状态,模型解释信号,情景推演比较风险-韧性轨迹Observations update system states, models explain signals, and scenarios compare risk-resilience trajectories.
科学主轴Scientific Architecture

一核、二轴、三柱、四区形成科学主轴One core, two axes, three technical pillars, and four regions structure the program

海岸带复杂系统临界动力学是核心;海岸线变迁和 C/N/P 足迹是两条变量轴;数据融合、区域地球系统模式和数字孪生是三根技术柱;四个重点区域检验临界过程的区域差异。结构、通量、判据和路径共同刻画系统诊断、预测预警和调控窗口Tipping dynamics is the core. Shoreline change and C/N/P footprints are the two variable axes. Data fusion, regional Earth system modeling, and digital twins form the technical pillars, while four focus regions test how tipping processes differ across coastal settings. Structure, fluxes, criteria, and pathways jointly define diagnosis, prediction, early warning, and intervention windows.

系统对象System Object

海岸带是非平衡区域地球系统 Coastal zones are non-equilibrium regional Earth-system interfaces

我国典型海岸带同时承受岸线工程、陆源 C/N/P 输入、海洋变暖、酸化、脱氧和极端事件冲击。系统状态取决于物理边界、生地化循环、生态功能和社会经济暴露之间的反馈网络 China's representative coastal zones are shaped simultaneously by shoreline engineering, land-based C/N/P inputs, ocean warming, acidification, deoxygenation, and extreme events. System state depends on feedback networks among physical boundaries, biogeochemical cycles, ecological functions, and socioeconomic exposure.

2026-2033 前两年聚焦数据基础和区域诊断,中期解析主控因子、阈值和级联路径,后期综合临界动力学、区域模式和数字孪生The first two years build data foundations and regional diagnoses; the middle phase resolves dominant drivers, thresholds, and cascade pathways; the final phase integrates tipping dynamics, regional models, and digital twins.
数据-模型-知识耦合Data-model-knowledge coupling 遥感、现场观测、沉积记录和社会经济数据共同参与同化;机理模型、临界判据和知识图谱约束 AI 代理推演Remote sensing, field observations, sediment records, and socioeconomic data are assimilated together; process models, tipping criteria, and knowledge graphs constrain AI surrogate reasoning.
结构 · 通量 · 判据 · 路径Structure · Fluxes · Criteria · Pathways 海岸线变迁揭示边界重组,C/N/P 足迹揭示通量压力,临界判据识别状态转移,路径比较评估风险-韧性边界Shoreline change reveals boundary reorganization, C/N/P footprints reveal flux pressure, tipping criteria identify state transitions, and pathway comparison evaluates risk-resilience boundaries.
关键事实Key Facts

有限空间承载高强度生态功能与社会暴露A narrow zone concentrates ecological functions and socioeconomic exposure

海岸带贡献生产力、渔业、蓝碳和生态系统功能,也聚集城市群、产业链、港口群和基础设施。功能集中与风险集中叠加,临界过程具有生态和发展双重后果Coastal zones support primary productivity, fisheries, blue carbon, and ecosystem functions while concentrating cities, industries, ports, and infrastructure. The overlap of ecological functions and exposed assets makes tipping transitions consequential for both ecosystems and development.

25% 海岸带贡献全球约四分之一海洋初级生产力Coastal zones contribute around a quarter of global marine primary productivity
80%+ 海岸带承载全球超 80% 海洋物种Coastal zones support more than 80% of marine species
70% 全球约 70% 大型城市聚集于海岸带Around 70% of the world's megacities are concentrated along coasts
53% 我国沿海地区以约 14% 国土面积创造约 53% GDPChina's coastal regions occupy about 14% of land and generate roughly 53% of GDP
机制与方法Mechanisms and Methods

三条科学主线贯通证据、判据与情景Three scientific lines connect evidence, criteria, and scenarios

协同演化沉淀长期证据,临界过程提炼阈值和级联判据,未来路径比较不同情景下的风险-韧性边界Co-evolution provides long-term evidence, tipping-process research defines threshold and cascade criteria, and future-pathway analysis compares risk-resilience boundaries under alternative scenarios.

查看框架View Framework
01

协同演化与驱动机制Co-evolution and Drivers

重构海岸线变迁、C/N/P 足迹和生态格局,解析岸线工程、流域输入、增温、酸化和脱氧的共同驱动路径Reconstruct shoreline change, C/N/P footprints, and ecosystem patterns to identify the combined effects of shoreline engineering, watershed inputs, warming, acidification, and deoxygenation.

02

临界过程与级联效应Tipping Processes and Cascades

低氧、赤潮、潮滩退缩和岸线硬化在阈值附近表现出恢复变慢、反馈增强和级联扩散Identify tipping elements, thresholds, and early signals as hypoxia, HABs, tidal-flat retreat, and shoreline hardening approach regimes of slower recovery, stronger feedback, and cascading spread.

03

趋势预测与路径优化Prediction and Pathway Optimization

结合区域地球系统模式、AI 代理模型和数字孪生,比较气候、工程、减排、修复和发展情景Use regional Earth system models, AI surrogates, and digital twins to compare climate, engineering, pollution-reduction, restoration, and development scenarios.

重点区域Focus Regions

四类重点区域呈现四种临界过程组合Four focus regions represent four combinations of tipping processes

四个区域作为机制样本相互比较:水交换滞留、河口层化、赤潮季节窗口和高密度复合暴露塑造不同的临界信号和治理压力The four regions are compared as mechanism samples: exchange retention, estuary stratification, seasonal HAB windows, and dense compound exposure shape distinct tipping signals and governance pressures.

查看区域View focus regions
预期突破Expected Breakthroughs

理论、技术与开放知识相互校验Theory, technology, and open knowledge mutually validate one another

成果Out

理论与技术突破Scientific and Technical Breakthroughs

临界动力学、区域地球系统和路径优化理论共同刻画阈值逼近、级联扩散和适应性选择Tipping dynamics, regional Earth-system theory, and pathway optimization explain coastal tipping processes.

查看成果View outcomes
孪生Twin

数字孪生海岸带Digital Twin Coastal Zone

观测数据、过程模式、知识图谱和情景推演共同约束临界诊断与路径比较Data, models, knowledge graphs, and scenario reasoning form a tipping-diagnosis and pathway-comparison system.

查看数字孪生View digital twin
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论文、专著、数据、模式、会议、通知和指南沉淀可追踪的研究进展与开放资料News, meetings, notices, calls, papers, datasets, and model versions connect progress, open outcomes, and scientific judgment.

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