Biotic and abiotic factors jointly drive the temperature sensitivity of soil respiration in forests worldwide

IF 3.8 1区 农林科学 Q1 FORESTRY
Zixuan Wang , Haihua Shen , Aijun Xing , Jingyun Fang
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引用次数: 0

Abstract

The sensitivity of soil respiration (Rs) to temperature (Q10) is a key parameter for benchmarking the carbon (C) cycle and climate feedbacks in the context of global warming. However, previous studies on the factors that drive forest soil Q10 have focused mostly on abiotic factors, such as climate and soil, while the role of biotic factors has been less examined. Here, we compiled a global dataset of 766 soil Q10 values and 17 matched biotic and abiotic factors to explore the factors that drive the variability of global forest soil Q10 using a random forest (RF) model. Our findings showed that soil Q10 increased with microbial biomass carbon (MBC), which was the most important predictor. Additionally, soil Q10 was positively correlated with leaf phosphorus content (LPC) but was negatively correlated with leaf N:P, indicating that plant ecological stoichiometry might be a factor that explained soil Q10 variability. All abiotic factors, including climate, soil properties, and elevation, had great predictive power and were significantly related to soil Q10. By comparing the soil Q10 in multispecies forests and monocultures, we found that Q10 in the mixed needle-leaved and broad-leaved forests (NF & BF) was lower than in monocultures. Our study revealed that, in addition to abiotic factors, biotic factors were also strong predictors of forest soil Q10, which can deepen our understanding of soil respiration in response to global warming and provide insights for improving carbon cycle models.
生物和非生物因素共同驱动全球森林土壤呼吸的温度敏感性
土壤呼吸(Rs)对温度(Q10)的敏感性是全球变暖背景下碳(C)循环和气候反馈基准的关键参数。然而,以往关于森林土壤Q10驱动因素的研究主要集中在气候和土壤等非生物因素上,而生物因素的作用研究较少。本文利用随机森林(RF)模型,构建了全球766个土壤Q10值和17个匹配的生物和非生物因子数据集,探讨了驱动全球森林土壤Q10变异性的因素。结果表明,土壤Q10随微生物生物量碳(MBC)的增加而增加,这是最重要的预测因子。土壤辅酶10与叶片磷含量(LPC)呈显著正相关,与叶片氮磷(N:P)呈显著负相关,表明植物生态化学计量学可能是解释土壤辅酶10变异的一个因素。所有非生物因子,包括气候、土壤性质和海拔高度,都对土壤Q10有很大的预测力,并且与土壤Q10有显著的相关性。通过对多种林分土壤Q10和单一林分土壤Q10的比较,我们发现针阔叶混交林土壤Q10 (NF &;BF)低于单培养。我们的研究表明,除了非生物因子,生物因子也是森林土壤Q10的重要预测因子,这可以加深我们对全球变暖下土壤呼吸的理解,并为改进碳循环模型提供见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Forest Ecosystems
Forest Ecosystems Environmental Science-Nature and Landscape Conservation
CiteScore
7.10
自引率
4.90%
发文量
1115
审稿时长
22 days
期刊介绍: Forest Ecosystems is an open access, peer-reviewed journal publishing scientific communications from any discipline that can provide interesting contributions about the structure and dynamics of "natural" and "domesticated" forest ecosystems, and their services to people. The journal welcomes innovative science as well as application oriented work that will enhance understanding of woody plant communities. Very specific studies are welcome if they are part of a thematic series that provides some holistic perspective that is of general interest.
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