文献类型: 外文期刊
作者: Huang, Zhongdong 1 ; Liu, Yuan 1 ; Huang, Pengfei 1 ; Li, Zhongyang 1 ; Zhang, Xiaoxian 3 ;
作者机构: 1.Chinese Acad Agr Sci, Inst Farmland Irrigat, Xinxiang 453002, Henan, Peoples R China
2.Natl Res & Observat Stn Shangqiu Agroecol Syst, Shangqiu 476000, Peoples R China
3.Rothamsted Res, Sustainable Soils & Crops, Harpenden AL5 2JQ, Herts, England
关键词: Heterotrophic soil respiration; Pore-scale substrate heterogeneity; Macropores; Modelling; Oxygen dissolution and diffusion; Moisture and temperature response
期刊名称:SOIL BIOLOGY & BIOCHEMISTRY ( 影响因子:9.7; 五年影响因子:10.2 )
ISSN: 0038-0717
年卷期: 2023 年 185 卷
页码:
收录情况: SCI
摘要: The moisture dependence of heterotrophic soil respiration is a key factor affecting the uncertainty in predicting the response of soil organic carbon (SOC) to global warming. Considering that heterotrophic respiration from unsaturated soils is primarily driven by microbial reduction of oxygen (O2), we propose a new concept to model the respiration by tracking dissolution of gaseous O2 and its subsequent diffusion and microbial reduction at hydrated microsite in the pore space of soil. Total respiration from a soil sample is calculated by summing the O2 reduced by all microbes in the soil. This allows us to separate physical processes and microbial activity occurring at microsites and incorporate pore-scale substrate heterogeneity, macropores and other factors explicitly into the model. We show that scaling up these microscopic physical processes over a soil sample makes soil moisture, temperature, and other factors inherently integrated in their influence on microbial respiration, and that a change in one of them affects the response of the respiration to the change in others. Comparison with experimental data shows the model can reproduce the diverse moisture-respiration relationships observed from various experiments and predict the change in soil respiration with temperature. It is noteworthy to point out that previous studies had attributed the variations in the moisture and temperature sensitivity of heterotrophic soil respiration to microbial adaptation; herein we demonstrate that changes in soil structure and physical processes can also give rise to such variations. Distinguishing between physical and microbial effects in data analysis and modelling is therefore crucial, as mistaking physical effects for microbial adaptation would lead to errors in predicting the response of SOC to environmental changes.
- 相关文献
作者其他论文 更多>>
-
Synergistic use of stay-green traits and UAV multispectral information in improving maize yield estimation with the random forest regression algorithm
作者:Liu, Yuan;Meng, Lin;Nie, Chenwei;Liu, Yadong;Song, Yang;Jin, Xiuliang;Liu, Yuan;Fan, Kaijian;Meng, Lin;Nie, Chenwei;Liu, Yadong;Song, Yang;Jin, Xiuliang;Cheng, Minghan
关键词:UAV multispectral; Maize yield; Stay-Green Index (SGI); Machine learning; Remote sensing
-
Maize biomass estimation by integrating spectral, structural, and textural features from unmanned aerial vehicle data
作者:Meng, Lin;Yin, Dameng;Jin, Xiuliang;Meng, Lin;Ming, Bo;Nie, Chenwei;Fang, Liang;Zhou, Lili;Xin, Jiangfeng;Xue, Beibei;Liang, Zhongyu;Guo, Huirong;Yin, Dameng;Jin, Xiuliang;Meng, Lin;Liu, Yuan;Nie, Chenwei
关键词:Unmanned Aerial Vehicle (UAV); Aboveground biomass (AGB); Organ biomass; Maize; Ensemble learning
-
The response of soil microbial community to application of organic amendment to saline land
作者:Cong, Peifei;Huang, Pengfei;Cong, Peifei;Huang, Zhisheng;Cong, Peifei;Huang, Zhisheng;Huang, Zhisheng;Huang, Zhisheng
关键词:functional diversity; salinity increase; organic remediation; community level physiological profile; microbial community
-
Remote sensing-based maize growth process parameters revel the maize yield: a comparison of field- and regional-scale
作者:Cheng, Minghan;Jin, Xiuliang;Cheng, Minghan;Jin, Xiuliang;Cheng, Minghan;Jin, Xiuliang;Nie, Chenwei;Liu, Shuaibing;Yu, Xun;Bai, Yi;Liu, Yadong;Meng, Lin;Jia, Xiao;Liu, Yuan;Zhou, Lili;Nan, Fei;Cheng, Minghan;Jin, Xiuliang;Nie, Chenwei;Liu, Shuaibing;Yu, Xun;Bai, Yi;Liu, Yadong;Meng, Lin;Jia, Xiao;Liu, Yuan;Zhou, Lili;Nan, Fei;Liu, Kaihua;Wu, Tianao;Lv, Yuping
关键词:Process parameters; Leaf area index; Maize yield; Remote sensing
-
Community structure and selected genes abundance shift of rhizosphere and endophyte bacteria from roots associated with the sludge application under reclaimed water irrigation
作者:Cui, Bingjian;Cui, Erping;Hu, Chao;Fan, Xiangyang;Li, Zhongyang;Liu, Chuncheng;Sun, Haishu;Fan, Xiangyang
关键词:Reclaimed water irrigation; Sludge application; Deleterious genes; Functional genes; Bacterial community
-
The CsphyB-CsPIF4-CsBRC1 module regulates ABA biosynthesis and axillary bud outgrowth in cucumber
作者:Liu, Ye;Liu, Zhihan;Li, Chuang;Li, Min;She, Daixi;Zhang, Jiahao;Ren, Huiqi;Zhong, Xitong;Huang, Yafei;Huang, Yuxiang;He, Yuting;Liu, Yuan;Chen, Jiacai;Geng, Yan;Zhang, Xiaolan;Zhao, Jianyu;Li, Xiaoli;Bo, Kailiang;Weng, Yiqun;Weng, Yiqun
关键词:ABA; axillary bud outgrowth; CsBRC1; CsphyB; CsPIF4; cucumber
-
Unveiling the Effects of Crop Rotation on Cropland Soil pH Mapping: A Remote Sensing-Based Soil Sample Grouping Strategy
作者:Liu, Yuan;Zhu, Ji;Zhang, Xia;Shang, Guofei;Liu, Yuan;Zhu, Ji;Zhang, Xia;Shang, Guofei;Liu, Yuan;Cai, Zejiang;Yu, Qiangyi;Wu, Wenbin;Liu, Yuan;Chen, Cheng;Bellingrath-Kimura, Sonoko Dorothea;Chen, Songchao;Chen, Songchao;Shen, Ge;Zhou, Qingbo;Bellingrath-Kimura, Sonoko Dorothea
关键词:soil pH; Sentinel-1/2 images; cropland soil; crop rotation; soil sample grouping; machine learning



