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探索全球红树林总初级产量的时空模式,并量化影响其估计的因素,1996-2020年

Zhongyi Sun¹, Yinghe An², Jiayan Kong²

¹School of Ecology and Environment, Hainan University, Haikou 570208, China; Key Laboratory of Agro-Forestry Environmental Processes and Ecological Regulation, Hainan University, Haikou 570228, China.

The Science of the total environment

|November 2, 2023

概括

全球红树林生态系统对于碳循环至关重要,但它们的初级生产总值 (GPP) 和影响因素的估计缺乏. 这项研究使用的共变量数据和高斯过程回归来估计了全球红树林GPP,揭示了关键的环境控制和最近的下降.

科学领域:

蓝碳研究研究蓝碳研究
生态系统的生产力和碳循环.
气候变化对沿海生态系统的影响

背景情况:

红树林生态系统是"蓝色碳"的关键组成部分,并对全球碳循环产生重大影响.
现有的知识缺口包括缺乏对红树林生态系统的总初级生产 (GPP) 的全球估计,以及了解控制它的环境因素.

研究的目的:

为了估计全球红树林生态系统GPP使用的共变量数据.
识别和阐明影响红树林生态系统GPP估计的环境因素.
分析红树林 GPP 随着时间的推移的时空模式和趋势.

主要方法:

利用了全球红树林旋共变率数据.
应用高斯过程回归 (GPR) 用于GPP估计,通过交叉验证优化性能 (R2 = 0.90,RMSE = 0.92 gC/m2/day,WI = 0.86).
进行模型组合归因分析,以确定各种环境因素的影响.

主要成果:

估计全球年平均红树林GPP为2054.53±38.51 gC/m2/年,总值为304.82±7.71 TgC/年,赤道附近的热点.
揭示了1996-2020年全球红树林 GPP的下降 (-0.89 TgC/年),人类活动 (红树林覆盖面的变化) 是一个一致的贡献者.
被吸收的光合作用活性辐射的确定的部分作为主要的GPP控制,温度,盐度和湿度作为次要因素.

结论:

为监测,建模和管理红树林生态系统 (GPP) 提供了宝贵的见解.
强调红树林在全球碳捕获和碳循环中的关键作用.
通过量化环境因素影响,提高对红树林碳循环估计的理解,有助于维持这些生产生态系统.

关键词:

归因分析是一种归因分析.环境因素环境因素高斯过程回归的高斯过程回归.总初级产品生产总值时间空间的变化.

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Primary Production

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