支持蓝色碳会计:全球盐沼地区的基于过程的生产力模型
Zhuoya Zhou1,2, Tingting Li2,3, Xiu-Qun Yang1
1School of Atmospheric Sciences, Nanjing University, Nanjing 210023, China.
Environmental science & technology
|February 6, 2026
概括
沿海盐沼 (CSM) 是重要的蓝色碳 (BC) 沉. 一个新的模型,SAL-GPP,准确地量化了它们的初级生产率 (GPP),改善了BC的会计和气候减缓努力.
科学领域:
- 生态生态学 生态生态学
- 气候科学 气候科学
- 生物地质化学生物地质化学
背景情况:
- 沿海盐沼 (CSM) 是重要的蓝色碳 (BC) 储库.
- 陆地生物圈模型 (TBMs) 难以准确量化CSM总初级生产率 (GPP),因为忽视了沿海特定的过程.
研究的目的:
- 开发和验证SAL-GPP,这是一个基于过程的模型,用于在CSM中估计GPP.
- 将度和温度压力等沿海特定因素纳入GPP建模中.
- 为BC会计和气候减缓提供CSM GPP的高分辨率全球模拟.
主要方法:
- 开发了SAL-GPP,这是一个以过程为基础的模型,包含特定于沿海地区的度和温度对光合作用和光效率的影响的模块.
- 根据观察数据验证了模型,实现了高R2 (0.82) 和模型效率 (0.82每天,0.74季节性).
- 使用SAL-GPP与全球输入数据执行了全球模拟.
主要成果:
- 在CSM中精确模拟每日和季节GPP的SAL-GPP.
- 全球模拟 (2011-2020年) 估计年平均GPP为66.89 ± 11.68 TgC yr-1.1.
- 确定了美国东南部,西欧,中国东南部和澳大利亚的关键GPP热点,占总GPP的64%.
- 从2011年到2020年,观察到全球CSM GPP的波动趋势,在2020年达到顶峰.
- SAL-GPP的性能优于现有的遥感和TBM产品.
结论:
- SAL-GPP提供了一个强大的工具,用于准确量化CSM GPP.
- 该模型增强了全球BC会计,并支持基于自然的气候减缓战略.
- 显式建模沿海动态对于准确的蓝色碳评估至关重要.
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