Data underlying publication: Vegetation types shift physiological and phenological controls on carbon sink strength in a coastal zone

This dataset accompanying this publication includes eddy covariance and meteorological data collected from three distinct vegetation sites in the Yellow River Delta, spanning 2011–2022. The sites represent tidal wetland, nontidal wetland, and cropland ecosystems, with long-term measurements of net ecosystem exchange (NEE) of CO2, air temperature (Tair), precipitation (PPT), global radiation (Rg), vapor pressure deficit (VPD), and evaporative fraction (EF). The raw data provides original flux measurements, while the processed data has undergone rigorous procedures, such as despiking, coordinate rotation, frequency response loss correction, and gap filling, ensuring its usability for further analysis. The dataset serves as a foundation for analyzing the physiological and phenological mechanisms that regulate carbon cycling across coastal vegetation types. This study revealed that although all studied vegetation types consistently acted as stable carbon sinks, their carbon sequestration capacities were influenced by distinct physiological (seasonal peaks of net CO2 uptake and release rate) and phenological (CO2 uptake period length) factors, both of which were regulated by dominant local climatic variables.本论文配套数据集包含采自黄河三角洲3处不同植被站点的涡度协方差（eddy covariance）与气象观测数据，观测时段为2011年至2022年。三类站点分别代表潮汐湿地、非潮汐湿地与农田生态系统，其长期观测指标涵盖CO₂净生态系统交换量（net ecosystem exchange (NEE)）、气温（air temperature (Tair)）、降水量（precipitation (PPT)）、总辐射（global radiation (Rg)）、水汽压亏缺（vapor pressure deficit (VPD)）及蒸发比分（evaporative fraction (EF)）。原始数据保留了通量观测的原始记录，预处理后的数据则经过去尖峰、坐标旋转、频率响应损失校正与间隙填充等严格质控流程，确保其可用于后续研究分析。本数据集为解析调控滨海不同植被类型碳循环的生理与物候机制提供了核心数据基础。 本研究表明，尽管所有受试植被类型均持续表现为稳定的碳汇，但其固碳能力分别受独特的生理因素（净CO₂吸收与释放速率的季节峰值）与物候因素（CO₂吸收周期时长）调控，而这两类因素均由当地主导气候变量所支配。