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基于涡度相关观测推断的全球植被碳利用效率变化

Global variation in vegetation carbon use efficiency inferred from eddy covariance observations.

作者信息

Luo Xiangzhong, Zhao Ruiying, Chu Housen, Collalti Alessio, Fatichi Simone, Keenan Trevor F, Lu Xinchen, Nguyen Ngoc, Prentice I Colin, Sun Wu, Yu Kailiang, Yu Liyao

机构信息

Department of Geography, National University of Singapore, Singapore, Singapore.

Center for Nature-based Climate Solutions, National University of Singapore, Singapore, Singapore.

出版信息

Nat Ecol Evol. 2025 Jun 19. doi: 10.1038/s41559-025-02753-0.

Abstract

Terrestrial ecosystems have been serving as a strong carbon sink that offsets one-quarter of anthropogenic CO emissions. Carbon use efficiency (CUE), the percentage of photosynthesized carbon that is available for biomass production and other secondary carbon products, is one factor determining the carbon sink size. The global variation in CUE remains unclear, however, as recent reports disagree over the responses of CUE to temperature, dryness, forest types and stand age, and there are limited direct observations to constrain the related uncertainty. Here, we propose to infer CUE from spatially distributed observations of land-atmosphere CO exchange from global eddy covariance sites based on the degree of ecosystem respiration-photosynthesis coupling. Across 2,737 site-years, CUE derived from eddy covariance observations is 0.43 ± 0.12, consistent with previous inventory-based estimates (0.47 ± 0.12, n = 301) but with a better representation of spatial-temporal variation in CUE. We find that CUE consistently decreases with temperature, precipitation, light availability and stand age, with a substantial difference in the baseline CUE among biomes. Importantly, CUE of deciduous forests is typically 15% higher than that of evergreen forests, suggesting that over the long-term deciduous forests are more efficient in using photosynthate. Our study advances the understanding of the global variation in CUE and provides insights to guide best practices of forest conservation, management and restoration for carbon sequestration.

摘要

陆地生态系统一直是一个强大的碳汇,可抵消四分之一的人为碳排放。碳利用效率(CUE)是可用于生物量生产和其他次级碳产物的光合碳的百分比,是决定碳汇大小的一个因素。然而,CUE的全球变化仍不明确,因为最近的报告在CUE对温度、干燥度、森林类型和林龄的响应方面存在分歧,而且用于限制相关不确定性的直接观测数据有限。在这里,我们建议根据生态系统呼吸与光合作用的耦合程度,从全球涡度协方差站点的陆气CO交换的空间分布观测中推断CUE。在2737个站点年的数据中,通过涡度协方差观测得到的CUE为0.43±0.12,与之前基于清单的估计值(0.47±0.12,n = 301)一致,但能更好地体现CUE的时空变化。我们发现,CUE随温度、降水、光照可用性和林龄持续下降,不同生物群落的基线CUE存在显著差异。重要的是,落叶林的CUE通常比常绿林高15%,这表明从长期来看,落叶林在利用光合产物方面更高效。我们的研究推进了对CUE全球变化的理解,并为指导森林碳固存保护、管理和恢复的最佳实践提供了见解。

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