Abstract：
The blue carbon ecosystem, including the salt marsh ecosystem, possesses a significant carbon sequestration potential. Therefore, accurately quantifying the carbon storage within such ecosystems is crucial for the adequate accounting of carbon sequestration. The present work chose a Spartina alterniflora ecosystem in the Xiaogan Island (China) as the study area (approximately 11 ha), and employed the Bayesian maximum entropy (BME) approach to assimilate both hard organic carbon (OC) data and soft OC data measured from 2 cm and 10 cm stratified samples. A 3-dimensional model was developed for space-time OC estimation purposes based on the sediment chronology results. The 10-fold BME cross validation results demonstrated a high estimation accuracy, with the R2, RMSE and MAE values equal to 0.8564, 0.1026 % and 0.0748 %, respectively. A noteworthy outcome was the BME-generated carbon storage density maps with 1 m spatial resolution. These maps revealed that the carbon storage density at the top 30 cm sediment depth in the stable zone (with elder stand age of S. alterniflora) was higher than that in the rapid expansion zone, i.e., 71.79 t/ha vs. 69.82 t/ha, respectively. Additionally, the study found that the averaged carbon burial rate and the total carbon storage at the top 30 cm sediment depth across the study area were 266 g C/m2/yr and 781.50 t, respectively. Lastly, the proposed BME-based framework of carbon storage estimation was found to be versatile and applicable to other blue carbon ecosystems. This approach can foster the development of a standardized carbon sink metrological methodology for diverse blue carbon ecosystems.
摘要：
蓝碳生态系统，包括盐沼生态系统，具有巨大的固碳潜力。因此,准确量化这些生态系统中的碳储存对于充分核算碳固存至关重要。本工作选择了孝感岛（中国）的互花米草生态系统作为研究区域（约11公顷），并采用贝叶斯最大熵（BME）方法吸收从2cm和10cm分层样本中测得的硬有机碳（OC）数据和软OC数据。根据沉积物年代结果，为时空OC估计目的开发了三维模型。10倍BME交叉验证结果显示了很高的估计准确性，R2、RMSE和MAE值等于0.8564、0.1026%和0.0748%，分别。值得注意的结果是BME生成的具有1m空间分辨率的碳储存密度图。这些地图显示，稳定区（互花米草年龄较大）顶部30cm沉积物深度的碳储量密度高于快速扩展区，即，71.79吨/公顷vs.69.82吨/公顷，分别。此外,研究发现，整个研究区域最高30厘米沉积物深度的平均碳埋藏率和总碳储量分别为266克C/平方米/年和781.50吨，分别。最后,提出的基于BME的碳储量估算框架被认为是通用的，适用于其他蓝碳生态系统。这种方法可以促进针对各种蓝碳生态系统的标准化碳汇计量方法的发展。
