Yan Yibo, Wang Xiujun, Wohlfahrt Georg, Huang Ni
Faculty of Geographical Science, Beijing Normal University, Beijing, 100875 China.
Universität Innsbruck, Institut für Ökologie, 6020 Innsbruck, Austria.
Geosci Lett. 2025;12(1):27. doi: 10.1186/s40562-025-00399-1. Epub 2025 Jun 21.
Soil respiration consists of two distinctive components: heterotrophic respiration (decomposition of soil organic matter) and autotrophic respiration (CO production from root system), which are driven by different factors. However, the absence of process-based independent models for the two components hampers our ability to accurately quantify and understand the key carbon sources on land. Here, we used observational data to develop independent models for both soil heterotrophic and autotrophic respiration in the subtropical forests of southeast China, and validated the models using independent field data. Applying the validated models, we estimated both soil heterotrophic respiration and autotrophic respiration at three forest sites over 2002-2022. Our results showed higher annual rates of heterotrophic respiration (0.8-1.6 g C m day) than autotrophic respiration (0.5-0.8 g C m day). There was significant seasonality and inter-annual variability in both components, with larger variations in autotrophic respiration. The inter-annual variation was strongest in the winter season for both two respiration components. We found a significant ( < 0.01) increasing trend in autotrophic respiration (with a slope of 2.0-6.0 g C m year) but not in heterotrophic respiration over 2002-2022. There was also a significant increasing trend in total soil respiration (3.4-6.2 g C m year for slopes), indicating an increasing role of autotrophic respiration. Our results reveal the dynamic nature of soil heterotrophic respiration and autotrophic respiration and their differing responses to environmental changes, emphasizing the need for independent models to improve the understanding of soil CO sources in a changing climate.
The online version contains supplementary material available at 10.1186/s40562-025-00399-1.
土壤呼吸由两个不同的部分组成:异养呼吸(土壤有机质的分解)和自养呼吸(根系产生的二氧化碳),它们由不同的因素驱动。然而,缺乏针对这两个部分的基于过程的独立模型阻碍了我们准确量化和理解陆地关键碳源的能力。在此,我们利用观测数据为中国东南部亚热带森林的土壤异养呼吸和自养呼吸建立了独立模型,并使用独立的野外数据对模型进行了验证。应用经过验证的模型,我们估算了2002 - 2022年三个森林站点的土壤异养呼吸和自养呼吸。我们的结果表明,异养呼吸的年速率(0.8 - 1.6克碳/平方米·天)高于自养呼吸(0.5 - 0.8克碳/平方米·天)。这两个部分都存在显著的季节性和年际变化,自养呼吸的变化更大。对于这两种呼吸成分,年际变化在冬季最为强烈。我们发现,在2002 - 2022年期间,自养呼吸有显著(<0.01)的增加趋势(斜率为2.0 - 6.0克碳/平方米·年),而异养呼吸没有。总土壤呼吸也有显著的增加趋势(斜率为3.4 - 6.2克碳/平方米·年),表明自养呼吸的作用在增加。我们的结果揭示了土壤异养呼吸和自养呼吸的动态性质以及它们对环境变化的不同响应,强调了需要独立模型来提高对气候变化下土壤二氧化碳源的理解。
在线版本包含可在10.1186/s40562 - 025 - 【此处原文有误,推测应为00399 - 1】查看的补充材料。