INRAE, Bordeaux Sciences Agro, UMR 1391 ISPA, 33882, Villenave d'Ornon, France.
Latvia University of Life Sciences and Technologies, Lielā iela 2, Jelgava, LV-3001, Latvia.
Nat Commun. 2022 Mar 1;13(1):1097. doi: 10.1038/s41467-022-28748-0.
Forests constitute important ecosystems in the global carbon cycle. However, how trees and environmental conditions interact to determine the amount of organic carbon stored in forest soils is a hotly debated subject. In particular, how tree species influence soil organic carbon (SOC) remains unclear. Based on a global compilation of data, we show that functional traits of trees and forest standing biomass explain half of the local variability in forest SOC. The effects of functional traits on SOC depended on the climatic and soil conditions with the strongest effect observed under boreal climate and on acidic, poor, coarse-textured soils. Mixing tree species in forests also favours the storage of SOC, provided that a biomass over-yielding occurs in mixed forests. We propose that the forest carbon sink can be optimised by (i) increasing standing biomass, (ii) increasing forest species richness, and (iii) choosing forest composition based on tree functional traits according to the local conditions.
森林构成了全球碳循环中的重要生态系统。然而，树木和环境条件如何相互作用以确定森林土壤中储存的有机碳的数量是一个备受争议的问题。特别是，树种如何影响土壤有机碳（SOC）仍然不清楚。基于对全球数据的综合分析，我们表明树木的功能特性和森林立木生物量解释了森林 SOC 局部变异性的一半。功能特性对 SOC 的影响取决于气候和土壤条件，在北方气候和酸性、贫瘠、质地粗糙的土壤中观察到的影响最大。在森林中混合树种也有利于 SOC 的储存，前提是在混交林中出现生物量超产的情况。我们提出，通过以下方式可以优化森林碳汇：（i）增加立木生物量，（ii）增加森林物种丰富度，以及（iii）根据当地条件选择基于树木功能特性的森林组成。
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