Wei Siyu, Paytan Adina, Chu Xiaojing, Zhang Xiaoshuai, Song Weimin, Wang Xiaojie, Li Peiguang, Han Guangxuan
Key Laboratory of Coastal Zone Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai, Shandong, China.
Yellow River Delta Field Observation and Research Station of Coastal Wetland Ecosystem, Chinese Academy of Sciences, Dongying, Shandong, China.
Glob Chang Biol. 2025 Jan;31(1):e70029. doi: 10.1111/gcb.70029.
The carbon sink function performed by the different vegetation types along the environmental gradient in coastal zones plays a vital role in mitigating climate change. However, inadequate understanding of its spatiotemporal variations across different vegetation types and associated regulatory mechanisms hampers determining its potential shifts in a changing climate. Here, we present long-term (2011-2022) eddy covariance measurements of the net ecosystem exchange (NEE) of CO at three sites with different vegetation types (tidal wetland, nontidal wetland, and cropland) in a coastal zone to examine the role of vegetation type on annual carbon sink strength. We found that the three study sites are stable carbon sinks and are influenced by their distinct physiological and phenological factors. The annual NEE of the tidal wetland, nontidal wetland, and cropland were determined predominantly by the seasonal peaks of net CO uptake, release, and duration of CO uptake period. Furthermore, the changes in annual NEE were sensitive to climatic variables, as spring mean air temperature reduced the carbon sink strength in the tidal wetland, maximum daily precipitation in summer reduced it in the nontidal wetland, and summer mean global radiation elicited the same effect in the cropland. Finally, a worldwide database of the three vegetation types was compiled, using which we further validated the global consistency of the biological controls. Overall, these results emphasize the importance of considering the underlying mechanisms by which vegetation types influence NEE for the accurate forecasting of carbon sink dynamics across different coastal vegetation types under climate change.
沿海地区不同植被类型沿环境梯度所发挥的碳汇功能在缓解气候变化方面起着至关重要的作用。然而，对其在不同植被类型间的时空变化及相关调控机制缺乏充分了解，阻碍了我们确定其在气候变化下的潜在变化。在此，我们展示了在沿海地区三个具有不同植被类型（潮汐湿地、非潮汐湿地和农田）的站点进行的长期（2011 - 2022年）涡度协方差测量，以研究植被类型对年碳汇强度的作用。我们发现这三个研究站点是稳定的碳汇，且受其独特的生理和物候因素影响。潮汐湿地、非潮汐湿地和农田的年净生态系统交换量（NEE）主要由净CO₂吸收、释放的季节性峰值以及CO₂吸收期的持续时间决定。此外，年NEE的变化对气候变量敏感，春季平均气温降低了潮汐湿地的碳汇强度，夏季最大日降水量降低了非潮汐湿地的碳汇强度，夏季平均全球辐射对农田产生了同样的影响。最后，我们编制了这三种植被类型的全球数据库，并用其进一步验证了生物控制的全球一致性。总体而言，这些结果强调了考虑植被类型影响NEE的潜在机制对于准确预测气候变化下不同沿海植被类型碳汇动态的重要性。
