Ectomycorrhizal necromass turnover is one‐third of biomass turnover in hemiboreal Pinus sylvestris forests

Andreas Hagenbo, P. Fransson, L. Menichetti, K. Clemmensen, Madelen A. Olofsson, Alf Ekblad
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Abstract

Efficient mitigation of climate change requires predictive models of forest ecosystems as sinks for atmospheric carbon. Mycorrhizal fungi are drivers of soil carbon storage in boreal forests, yet they are typically excluded from ecosystem models, because of a lack of information about their growth and turnover. Closing this knowledge gap could help us better predict future responses to climate change and guide policy decisions for sustainable management of forest ecosystems. This study provides new estimates of the production and turnover of mycorrhizal mycelial biomass and necromass. This information can facilitate the integration of mycorrhizal fungi into new predictive models of boreal forest soils. In boreal forests, turnover of biomass and necromass of ectomycorrhizal extraradical mycelia (ERM) are important for mediating long‐term carbon storage. However, ectomycorrhizal fungi are usually not considered in ecosystem models, because data for parameterization of ERM dynamics is lacking. Here, we estimated the production and turnover of ERM biomass and necromass across a hemiboreal Pinus sylvestris chronosequence aged 12 to 100 years. Biomass and necromass were quantified in sequentially harvested in‐growth bags, and incubated in the soil for 1–24 month, and Bayesian calibration of mathematical models was applied to arrive at parametric estimates of ERM production and turnover rates of biomass and necromass. Steady states were predicted to be nearly reached after 160 and 390 growing season days, respectively, for biomass and necromass. The related turnover rates varied with 95% credible intervals of 1.7–6.5 and 0.3–2.5 times yr−1, with mode values of 2.9 and 0.9 times yr−1, corresponding to mean residence times of 62 and 205 growing season days. Our results highlight that turnover of necromass is one‐third of biomass. This together with the variability in the estimates can be used to parameterize ecosystem models, to explicitly include ERM dynamics and its impact on mycorrhizal‐derived soil carbon accumulation in boreal forests.
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外生菌根坏死物的周转量占半山松林生物量周转量的三分之一
要有效减缓气候变化,就必须建立森林生态系统作为大气碳汇的预测模型。菌根真菌是北方森林土壤碳储存的驱动力,但由于缺乏有关其生长和周转的信息,它们通常被排除在生态系统模型之外。缩小这一知识差距有助于我们更好地预测未来对气候变化的反应,并为森林生态系统可持续管理的政策决策提供指导。本研究对菌根菌丝体生物量和坏死物质的产生和周转提供了新的估计。在北方森林中,外生菌根菌丝体(ERM)的生物量和坏死物质的周转对长期碳储存起着重要作用。在这里,我们估算了在一个树龄为12至100年的半圆形欧洲赤松(Pinus sylvestris)年代序列中,外生菌根真菌生物量和死亡量的产生和周转情况。生物量和坏死物质在按顺序采收的生长袋中进行量化,并在土壤中培养1-24个月,然后应用贝叶斯数学模型校准得出ERM生物量和坏死物质生产和周转率的参数估计值。相关周转率的 95% 可信区间分别为 1.7-6.5 倍/年和 0.3-2.5 倍/年,模式值分别为 2.9 倍/年和 0.9 倍/年,对应的平均停留时间分别为 62 天和 205 天。我们的研究结果表明,死亡物质的周转率是生物量的三分之一。这一点以及估算值的可变性可用于生态系统模型的参数化,以明确包括ERM动态及其对北方森林中菌根衍生土壤碳积累的影响。
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