Chenjie Ren

Prof. Chenjie Ren


Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
22 June 2024 in Nature Communications
Verified
Journal Article
Open access
PDF file
ZZZhenghu Zhou
Zhenghu Zhou
Chenjie RenChenjie Ren
Chenjie Ren
CWChuankuan Wang
Chuankuan Wang
MDManuel Delgado-Baquerizo
Manuel Delgado-Baquerizo
YLYiqi Luo
Yiqi Luo
GWGehong Wei
Gehong Wei
Soil organic carbon (SOC) persistence is predominantly governed by mineral protection, consequently, soil mineral-associated (MAOC) and particulate organic carbon (POC) turnovers have different impacts on the vulnerability of SOC to climate change. Here, we generate the global MAOC and POC maps using 8341 observations and then infer the turnover times of MAOC and POC by a data-model integration approach. Global MAOC and POC storages are $${975}_{964}^{987}$$ 975 964 987 Pg C (mean with 5% and 95% quantiles) and $${330}_{323}^{337}$$ 330 323 337 Pg C, while global mean MAOC and POC turnover times are $${129}_{45}^{383}$$ 129 45 383 yr and $${23}_{5}^{82}$$ 23 5 82 yr in the top meter, respectively. Climate warming-induced acceleration of MAOC and POC decomposition is greater in subsoil than that in topsoil. Overall, the global atlas of MAOC and POC turnover, together with the global distributions of MAOC and POC stocks, provide a benchmark for Earth system models to diagnose SOC-climate change feedback.

30 March 2017 in Biology and Fertility of Soils
Verified
Journal Article
Closed access
PDF file
Chenjie RenChenjie Ren
Chenjie Ren
JCJi Chen
Ji Chen
JDJian Deng
Jian Deng
FZFazhu Zhao
Fazhu Zhao
XHXinhui Han
Xinhui Han
GRGuangxin Ren
Guangxin Ren

22 November 2021 in Global Change Biology
Verified
Journal Article
Closed access
PDF file
Chenjie RenChenjie Ren
Chenjie Ren
JWJieying Wang
Jieying Wang
FBFelipe Bastida
Felipe Bastida
MDManuel Delgado-Baquerizo
Manuel Delgado-Baquerizo
YYYuanhe Yang
Yuanhe Yang
Fazhu ZhaoFazhu Zhao
Fazhu Zhao

25 July 2024 in Nature Communications
Verified
Journal Article
Open access
PDF file
Chenjie RenChenjie Ren
Chenjie Ren
ZZZhenghu Zhou
Zhenghu Zhou
MDManuel Delgado-Baquerizo
Manuel Delgado-Baquerizo
FBFelipe Bastida
Felipe Bastida
Fazhu ZhaoFazhu Zhao
Fazhu Zhao
GWGehong Wei
Gehong Wei
Understanding the large-scale pattern of soil microbial carbon use efficiency (CUE) and its temperature sensitivity (CUET) is critical for understanding soil carbon–climate feedback. We used the18O-H2O tracer method to quantify CUE and CUETalong a north-south forest transect. Climate was the primary factor that affected CUE and CUET, predominantly through direct pathways, then by altering soil properties, carbon fractions, microbial structure and functions. Negative CUET(CUE decreases with measuring temperature) in cold forests (mean annual temperature lower than 10 °C) and positive CUET(CUE increases with measuring temperature) in warm forests (mean annual temperature greater than 10 °C) suggest that microbial CUE optimally operates at their adapted temperature. Overall, the plasticity of microbial CUE and its temperature sensitivity alter the feedback of soil carbon to climate warming; that is, a climate-adaptive microbial community has the capacity to reduce carbon loss from soil matrices under corresponding favorable climate conditions.

2 November 2024 in Nature Communications
Verified
Journal Article
Open access
PDF file
ZZZhenghu Zhou
Zhenghu Zhou
CWChuankuan Wang
Chuankuan Wang
XCXinyu Cha
Xinyu Cha
TZTao Zhou
Tao Zhou
XPXuesen Pang
Xuesen Pang
Chenjie RenChenjie Ren
Chenjie Ren
Soil microbial growth, a vital biogeochemical process, governs both the accrual and loss of soil carbon. Here, we investigate the biogeography of soil microbiome potential growth rates and show that microbiomes in resource-rich (high organic matter and nutrients) and acid-neutral soils from cold and humid regions exhibit high potential growth. Conversely, in resource-poor, dry, hot, and hypersaline soils, soil microbiomes display lower potential growth rates, suggesting trade-offs between growth and resource acquisition or stress tolerance. In addition, the potential growth rates of soil microbiomes positively correlates with genome size and the number of ribosomal RNA operons but negatively correlates with optimum temperature, biomass carbon-to-phosphorus and nitrogen-to-phosphorus ratios. The spatial variation of microbial potential growth rates aligns with several macroecological theories. These findings not only enhance our understanding of microbial adaptation to diverse environments but also aid in realistically parameterizing microbial physiology in soil carbon cycling models.

3 March 2025 in Global Change Biology
Verified
Journal Article
Closed access
YZYuqing Zhao
Yuqing Zhao
YXYulin Xu
Yulin Xu
XCXinyu Cha
Xinyu Cha
PZPeng Zhang
Peng Zhang
YLYifan Li
Yifan Li
Chenjie RenChenjie Ren
Chenjie Ren