Soil carbon persistence governed by plant input and mineral protection at regional and global scales

Chen, Leiyi; Fang, Kai; Wei, Bin; Qin, Shuqi; Feng, Xiangru; Hu, Tianyu; Ji, Chengjun; Yang, Yuanhe

doi:10.1111/ele.13723

Cited by 140 publications

(128 citation statements)

References 77 publications

(226 reference statements)

Supporting

Mentioning

119

Contrasting

Unclassified

Order By: Relevance

“…model. Similar to Chen et al (2021), precipitation is the first principal component (PC1) of mean annual precipitation (MAP), precipitation of the wettest month (PWM), and precipitation of the wettest quarter (PWQ); Plant C input is the PC1 of plant carbon input in topsoil, normalized difference vegetation index (NDVI), enhanced vegetation index (EVI) and leaf area index (LAI); mineral protection is the PC1 of molar ratios of dithionite-and oxalate-extractable Fe/Al oxides to SOC (Fe d + Al d and Fe o + Al o ), and the molar ratios of exchangeable Ca 2+ (Ca exe ) and Mg 2+ (Mg exe ) to SOC. Logarithm transformation is performed for the four variables of mineral protection before principal component analysis (PCA).…”

Section: Conflict Of Interestmentioning

confidence: 96%

“…Understanding the driving mechanisms of soil organic carbon (SOC) persistence is crucial to project future carbon-climate feedback (Schmidt et al 2011). Chen et al (2021) (C21 hereafter) hypothesized that plant carbon input, as a proxy of priming effect, governs the topsoil carbon turnover across alpine grasslands in Tibetan Plateau. A structure equation model was built to assess the relationships between environmental variables and Δ 14 C, an indicator of soil carbon turnover (Shiet al 2020;Wu et al 2021).…”

Section: Main Textmentioning

confidence: 99%

“…

Chen et al (2021) concluded that plant input governs topsoil carbon persistence in alpine grasslands. We demonstrated that the excluded direct effect of precipitation on topsoil Δ14C in their analysis was in fact significant and strong.

…”

mentioning

confidence: 99%

“…Figure1Three structure equation models (SEM) with different assumptions on direct and indirect relationships between environmental factors and topsoil Δ 14 C are compared based on the available datasets for alpine grasslands provided byChen et al (2021). (a) Model-A includes direct effect of plant carbon input and indirect effect of precipitation on Δ 14 C. (b) Model-B adds direct effect of precipitation on Δ 14 C. (c) Model-C adds direct effect of precipitation and mineral protection and indirect effect of plant carbon input on Δ 14 C. Fit indices, including degree of freedom (DF ), Chi-squareis (χ 2 ), probability level (P ), Akaike information criterion (AIC ), comparative fit index (CFI ), goodness of fit (GFI ), root mean square residual (RMR ) and root mean square error of approximation (RMSEA ), are listed on the left panel of each…”

mentioning

confidence: 99%

See 3 more Smart Citations

Climate exerts stronger control on topsoil carbon persistence than plant input in alpine grasslands

Zhang

2021

Preprint

View full text Add to dashboard Cite

show abstract

Section: Conflict Of Interestmentioning

confidence: 96%

Section: Main Textmentioning

confidence: 99%

“…

…”

mentioning

confidence: 99%

mentioning

confidence: 99%

See 2 more Smart Citations

Climate exerts stronger control on topsoil carbon persistence than plant input in alpine grasslands

Zhang

2021

Preprint

View full text Add to dashboard Cite

show abstract

“…For mineral variables, exchangeable calcium (Ca) was extracted by NH 4 Cl‐ethanol solution to represent the Ca adsorption (Chen et al., 2021; Rowley et al., 2018). The total amount of pedogenic Fe (Fe d ) was extracted with CBD mixed solution (0.27‐M trisodium citrate + 0.11‐M sodium bicarbonate + 0.1‐M sodium dithionite) in an 80°C water bath for 15 min (Chen et al., 2021; Fang et al., 2019; Lalonde et al., 2012).…”

Section: Methodsmentioning

confidence: 99%

Mineral and Climatic Controls Over Soil Organic Matter Stability Across the Tibetan Alpine Permafrost Region

Fang

Chen

Qin

et al. 2021

Global Biogeochemical Cycles

Self Cite

View full text Add to dashboard Cite

Permafrost thaw could accelerate microbial decomposition, lead to greenhouse gases emissions into the atmosphere, and thus trigger a positive feedback to climate warming. As a key parameter reflecting the resistance of soil organic matter (SOM) to be decomposed by microorganisms, SOM stability may determine the strength of permafrost carbon (C)‐climate feedback. Adequate understanding of patterns and drivers of SOM stability can thus contribute to predicting permafrost C cycle and its feedback to climate change. However, due to limited observations, it remains unknown whether biochemical selectivity or physico‐chemical protection dominates SOM stability in permafrost regions. By combining large‐scale soil sampling, thermal analysis and random forest model, we quantified SOM stability in the top 10 cm using thermogravimetry and differential scanning calorimetry, and explored its spatial patterns across the Tibetan alpine permafrost region. We then constructed structural equation model to evaluate the relative importance of climatic variables, edaphic properties, substrate quality, and mineral variables in regulating SOM stability over a broad geographic scale. Our results indicated that SOM stability exhibited an increasing tendency from the southeastern to northwestern plateau. The stronger SOM stability was associated with higher mineral‐organic associations and more arid conditions. By contrast, substrate quality had limited effects on SOM stability. Overall, these results provide large‐scale evidence for the physico‐chemical protection hypothesis, highlighting the importance of considering mineral variables in Earth system models to better predict soil C dynamics across permafrost regions.

show abstract

The contributions of soil biochemical characteristics and soil organic carbon (SOC) structure to SOC mineralization rate during forest succession on the Loess Plateau, China

Zhang

Liu

Liu³

et al. 2022

Land Degrad Dev

View full text Add to dashboard Cite

Soil organic carbon (SOC) mineralization is a process driven by microorganisms and is considered to be one of the main forms of carbon loss in land restoration. However, the interaction of SOC structures and bacteria that drive SOC mineralization remain unclear. Therefore, four forest succession stages were investigated on the Loess Plateau of Northern China: (1) primary stage Betula platyphylla (BP); (2) transitional stage which were two mixed communities of Populus davidiana and Quercus wutaishanica with different proportions (PQ1); (3) (PQ2) and (4) the late stage was climax communities of Quercus wutaishanica (QW). The Illumina sequencing of the 16S rRNA gene and Fourier transformation infrared (FTIR‐ATR) spectroscopy were used to clarify the regulation mechanism of microbial activity on SOC mineralization during forest succession through the perspective of SOC structures. Our results indicated higher aromatics‐C in QW contributed to decreased SOC mineralization ratio (SMR). Redundancy analysis confirmed SOC structures–bacteria interaction and revealed the groups Acidobacteria correlated with recalcitrant SOC structures while Proteobacteria and Bacteroides correlated with labile SOC structures, respectively. Moreover, the partial least squares path model revealed that the SOC and C:N ratio act on soil bacteria community characteristics, and the higher abundance of Acidobacteria and the increase of aromatics‐C decreased SMR. Collectively, these findings highlight the importance of bacteria–SOC structures interaction in decreased SMR and contribute to an improved understanding of how forest succession regulates carbon mineralization.

show abstract

Soil carbon persistence governed by plant input and mineral protection at regional and global scales

Cited by 140 publications

References 77 publications

Climate exerts stronger control on topsoil carbon persistence than plant input in alpine grasslands

Climate exerts stronger control on topsoil carbon persistence than plant input in alpine grasslands

Mineral and Climatic Controls Over Soil Organic Matter Stability Across the Tibetan Alpine Permafrost Region

The contributions of soil biochemical characteristics and soil organic carbon (SOC) structure to SOC mineralization rate during forest succession on the Loess Plateau, China

Contact Info

Product

Resources

About