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Investigating the spatio-temporal variability of soil organic carbon stocks in different ecosystems of China 期刊论文
SCIENCE OF THE TOTAL ENVIRONMENT, 2021, 卷号: 758, 页码: 10
Authors:  Wang, Shuai;  Xu, Li;  Zhuang, Qianlai;  He, Nianpeng
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Soil organic carbon stocks  Climate variables  Spatial variation  Boosted regression trees  
Quantifying Global Potential Marginal Land Resources for Switchgrass 期刊论文
ENERGIES, 2020, 卷号: 13, 期号: 23, 页码: 13
Authors:  Fan, Peiwei;  Hao, Mengmeng;  Ding, Fangyu;  Jiang, Dong;  Dong, Donglin
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switchgrass  biofuel feedstock  environmental variables  BRT  relative contribution  
Mapping the Potential Global Distribution of Red Imported Fire Ant (Solenopsis invicta Buren) Based on a Machine Learning Method 期刊论文
SUSTAINABILITY, 2020, 卷号: 12, 期号: 23, 页码: 13
Authors:  Chen, Shuai;  Ding, Fangyu;  Hao, Mengmeng;  Jiang, Dong
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S  invicta  red imported fire ant  potential distribution  boosted regression tree  human factors  
Quantifying livestock vulnerability to snow disasters in the Tibetan Plateau: Comparing different modeling techniques for prediction 期刊论文
INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION, 2020, 卷号: 48, 页码: 10
Authors:  Ye, Tao;  Liu, Weihang;  Mu, Qingyang;  Zong, Shuo;  Li, Yijia;  Shi, Peijun
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Livestock snow disaster  Vulnerability  Generalized additive models  Random forest  Boosted regression trees  
Modeling the impact of 2D/3D urban indicators on the urban heat island over different seasons: A boosted regression tree approach 期刊论文
JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2020, 卷号: 266, 页码: 13
Authors:  Hu, Yunfeng;  Dai, Zhaoxin;  Guldmann, Jean-Michel
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Urban heat island  Multi-dimensional urban factors  Land surface temperatures  Different seasons  Boosted regression trees  
Comparison of additive and isometric log-ratio transformations combined with machine learning and regression kriging models for mapping soil particle size fractions 期刊论文
GEODERMA, 2020, 卷号: 365, 页码: 16
Authors:  Wang, Zong;  Shi, Wenjiao;  Zhou, Wei;  Li, Xiaoyan;  Yue, Tianxiang
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Soil particle size fractions  Log-ratio transformation  Boosted regression tree  Random forest  Regression kriging  
Multispectral Remote Sensing Data Are Effective and Robust in Mapping Regional Forest Soil Organic Carbon Stocks in a Northeast Forest Region in China 期刊论文
REMOTE SENSING, 2020, 卷号: 12, 期号: 3, 页码: 18
Authors:  Wang, Shuai;  Gao, Jinhu;  Zhuang, Qianlai;  Lu, Yuanyuan;  Gu, Hanlong;  Jin, Xinxin
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soil organic carbon stocks  multispectral remote sensing  forestry ecology  spatial variation  
The spatial patterns of litter turnover time in Chinese terrestrial ecosystems 期刊论文
EUROPEAN JOURNAL OF SOIL SCIENCE, 2020, 页码: 12
Authors:  Cai, Andong;  Chang, Naijie;  Zhang, Wenju;  Liang, Guopeng;  Zhang, Xubo;  Hou, Enqing;  Jiang, Lifen;  Chen, Xianni;  Xu, Minggang;  Luo, Yiqi
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climate  litter quality  litter turnover time  soil property  terrestrial ecosystems  
Risk factors and predicted distribution of visceral leishmaniasis in the Xinjiang Uygur Autonomous Region, China, 2005–2015 期刊论文
Parasites & Vectors, 2019, 卷号: 12, 期号: 1
Authors:  Ding,Fangyu;  Wang,Qian;  Fu,Jingying;  Chen,Shuai;  Hao,Mengmeng;  Ma,Tian;  Zheng,Canjun;  Jiang,Dong
Favorite  |  View/Download:9/0  |  Submit date:2020/05/19
Visceral leishmaniasis  Spatiotemporal patterns  Environmental niche  Infection risk  
Risk factors and predicted distribution of visceral leishmaniasis in the Xinjiang Uygur Autonomous Region, China, 2005-2015 期刊论文
PARASITES & VECTORS, 2019, 卷号: 12, 期号: 1, 页码: 10
Authors:  Ding, Fangyu;  Wang, Qian;  Fu, Jingying;  Chen, Shuai;  Hao, Mengmeng;  Ma, Tian;  Zheng, Canjun;  Jiang, Dong
Favorite  |  View/Download:14/0  |  Submit date:2020/05/19
Visceral leishmaniasis  Spatiotemporal patterns  Environmental niche  Infection risk