2022
DOI: 10.1111/geb.13605
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Mean annual temperature and carbon availability respectively controlled the contributions of bacterial and fungal residues to organic carbon accumulation in topsoil across China's forests

Abstract: Aim: Soil organic carbon (SOC) stabilization has become an important topic in recent years in the context of global climate change. Microbial residues represent a significant component of stabilized SOC pools. However, spatial variations in the contributions of bacterial and fungal residues to SOC and their determinants at a continental scale remain poorly understood. We aimed to evaluate the spatial variations and controls of the contributions of microbial residues to SOC in forest topsoil.Location: North-sou… Show more

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Cited by 12 publications
(5 citation statements)
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“…To simplify the graphical presentation, different categories of factors, such as soil enzyme activities, soil properties, MBC and MBN, and soil microbial diversity, were placed in the same box. It is important to note that these boxes did not represent latent variables (Lefcheck and Freckleton, 2015;Zhao et al, 2022).…”
Section: Discussionmentioning
confidence: 99%
“…To simplify the graphical presentation, different categories of factors, such as soil enzyme activities, soil properties, MBC and MBN, and soil microbial diversity, were placed in the same box. It is important to note that these boxes did not represent latent variables (Lefcheck and Freckleton, 2015;Zhao et al, 2022).…”
Section: Discussionmentioning
confidence: 99%
“…The PC2 is significantly negatively correlated with fungal diversity but has no significant relationship with fungal community composition. This suggests that bacteria are more sensitive to changes in litter properties than fungi [75]. On the one hand, this could be due to the more resistant cellular structures of fungi, allowing stable fungal community structures to withstand external stress and disturbances [76].…”
Section: Microbial Community Response To Changes In Litter Traitsmentioning
confidence: 99%
“…SEM is a generalized linear model to represent the relationships between observed and dependent variables [48]. Although SEM was initially developed for social sciences [49,50], its powerful computing capacity in the contributing mechanism of the variables enabled its wide usage in ecology studies at both regional and larger scales [51][52][53].…”
Section: Modeling Approachesmentioning
confidence: 99%