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晋陕蒙矿区新构土体土壤质量恢复 及其微生物特性变化的研究 学位论文
农学博士, 中国科学院教育部水土保持与生态环境研究中心: 中国科学院大学, 2019
Authors:  李鹏飞
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晋陕蒙矿区,新构土体土壤,植被恢复,土壤质量评价,土壤微生物群落结构  
Runoff-sediment dynamics under different flood patterns in a Loess Plateau catchment, China 期刊论文
Catena, 2019, 期号: 173, 页码: 234-245
Authors:  Hu Jinfei;  Mu Xingmin;  Zhao Guangju;  Sun Wenyi;  Li Pengfei;  Zhang Limei
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Event Scale  Runoff–sediment Relationship  Flood Patterns  Hysteresis Loop  Sediment Dynamics  
植被恢复对黄土高原矿区重构土壤理化性质、 酶活性以及真菌群落的影响 期刊论文
水土保持通报, 2019, 卷号: 39, 期号: 5, 页码: 1-7
Authors:  李鹏飞;  张兴昌;  郝明德;  崔勇兴;  张燕江;  朱世雷
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植被恢复  土壤理化性质  土壤酶活性  黄土高原  矿区  真菌群落  
植被恢复对黄土高原矿区重构土壤理化性质、 酶活性以及真菌群落的影响 期刊论文
水土保持通报, 2019, 卷号: 39, 期号: 5, 页码: 1-7
Authors:  李鹏飞;  张兴昌;  郝明德;  崔勇兴;  张燕江;  朱世雷
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植被恢复  土壤理化性质  土壤酶活性  黄土高原  矿区  真菌群落  
Responses of soil microbial communities to nutrient limitation in the desert-grassland ecological transition zone 期刊论文
SCIENCE OF THE TOTAL ENVIRONMENT, 2018, 卷号: 642, 页码: 45-55
Authors:  Yongxing Cui;  Linchuan Fang;  Xiaobin Guo;  XiaWang;  Yunqiang Wang;  Pengfei Li;  Yanjiang Zhang;  Xingchang Zhang;  Fang, LC (reprint author), Northwest A&F Univ, State Key Lab Soil Eros & Dryland Farming Loess P, Yangling 712100, Shaanxi, Peoples R China.
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Ecological Transition Zone  Community Function  Enzyme  16s Rrna  Its Rrna  Nutrient Limitation  
Ecoenzymatic stoichiometry and microbial nutrient limitation in rhizosphere soil in the arid area of the northern Loess Plateau, China 期刊论文
SOIL BIOLOGY & BIOCHEMISTRY, 2018, 卷号: 116, 页码: 11-21
Authors:  Cui, Yongxing;  Fang, Linchuan;  Guo, Xiaobin;  Wang, Xia;  Zhang, Yanjiang;  Li, Pengfei;  Zhang, Xingchang;  Fang, LC;  Zhang, XC (reprint author), Chinese Acad Sci, Minist Water Resources, Inst Soil & Water Conservat, State Key Lab Soil Eros & Dryland Farming Loess P, Yangling 712100, Peoples R China.
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Rhizosphere  Ecoenzymatic Stoichiometry  Microbial Metabolism  Threshold Elemental Ratio  Loess Plateau  
Reduced sediment transport in the Chinese Loess Plateau due to climate change and human activities 期刊论文
SCIENCE OF THE TOTAL ENVIRONMENT, 2018, 卷号: 642, 页码: 591-600
Authors:  Xiaonan Yang;  Wenyi Sun;  Pengfei Li;  Xingmin Mu;  Peng Gao;  Guangju Zhao;  Sun, WY;  Mu, XM (reprint author), Northwest A&F Univ, State Key Lab Soil Eros & Dryland Farming Loess P, Yangling, Shaanxi, Peoples R China.
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Sediment Discharge  Climate Change  Terrace Construction  Vegetation Coverage  Loess Plateau  
Responses of Vegetation Cover to Environmental Change in Large Cities of China 期刊论文
SUSTAINABILITY, 2018, 卷号: 10, 期号: 1
Authors:  Jin, Kai;  Wang, Fei;  Li, Pengfei;  Wang, F (reprint author), Northwest A&F Univ, Inst Soil & Water Conservat, Yangling 712100, Peoples R China.;  Wang, F (reprint author), Chinese Acad Sci & Minist Water Resources, Inst Soil & Water Conservat, Yangling 712100, Peoples R China.;  Wang, F (reprint author), Univ Chinese Acad Sci, Beijing 100049, Peoples R China.
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Vegetation Cover  Urbanization  Climate Change  Ndvi  Cities  China  
Understanding land use and cover change impacts on run-off and sediment load at flood events on the Loess Plateau, China 期刊论文
HYDROLOGICAL PROCESSES, 2018, 卷号: 32, 期号: 4, 页码: 576-589
Authors:  Xiaoping Zhang;  Pengfei Lin;  Hao Chen;  Rui Yan;  Jianjun Zhang;  Yipeng Yu;  Erjia Liu;  Yahui Yang;  Wenhui Zhao;  Du Lv;  Siyue Lei;  Baoyuan Liu;  Xihua Yang;  Zhiguang Li;  Zhang, XP (reprint author), Chinese Acad Sci, Inst Soil & Water Conservat, State Key Lab Soil Eros & Dryland Farming Loess P, Yangling 712100, Shaanxi, Peoples R China.;  Zhang, XP (reprint author), Northwest Agr & Forestry Univ, Minist Water Resources, Yangling 712100, Shaanxi, Peoples R China.
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Flood Run-off  Loess Plateau  Lucc  Run-off-sediment Behaviour  Sediment Load  
Comparison of soil erosion models used to study the Chinese Loess Plateau 期刊论文
EARTH-SCIENCE REVIEWS, 2017, 卷号: 170, 页码: 17-30
Authors:  Li, Pengfei;  Mu, Xingmin;  Holden, Joseph;  Wu, Yiping;  Irvine, Brian;  Wang, Fei;  Gao, Peng;  Zhao, Guangju;  Sun, Wenyi;  Mu, XM (reprint author), 26 Xinong Rd, Yangling 712100, Shaanxi, Peoples R China.
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Dryland  Sediment  Land Use  Modelling  Prediction