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学习经历：2008.01-2013.05 博士学位；University of New Brunswick (加拿大), 森林与环境管理系,森林与环境管理专业2002.09-2005.05 硕士学位；东北林业大学, 工程技术学院, 森林工程专业1996.09-2000.07 学士学位；东北林业大学, 工程技术学院, 森林工程专业工作经历：2015.07-至今 校聘教授；广西大学，林学院，生态系2014.07-2015.07 校聘教授；南京信息工程大学，环境科学与工程学院，环境科学系2013.05-2014.07 博士后； University of Quebec at Montreal (加拿大），生态模型与碳科学实验室（Eco-MCS)2010.01-2010.04 研究助理（兼职;加拿大联邦学生工作经历项目）；Agriculture and Agri-Food Canada, Potato Research Certre2008.09-2008.12 研究助理（兼职）；University of Moncton, Eastern Canada Soil and Water Conservation Centre 2005.05-2008.01 研究助理；University of New Brunswick, 森林与环境管理系2000.07-2002.07 助理工程师；中国水利水电第五工程局
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期刊《林业与环境科学》，编委国际学术协会注册会员：American Society of AgronomyCrop Science Society of AmericaSoil Science Society of AmericaCanadian Society of Soil ScienceCanadian Remote Sensing Society国内学术协会注册会员：森林工程学会广西生态学学会
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1. 生态学《专业英语》，本科2. 生态学《专业英语》，研究生3. 《工程地质与土壤学》
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土壤、水文与生态模型
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2016.09-2019.8 广西自然科学基金项目（**），一个新的全球土壤呼吸预测模型，10万元，主持2016.01-2018.12 国家自然科学基金项目 （**），基于模型预测土壤属性的大面积高分辨率森林生态立地类型的分类研究，23万元，参与2014 广西“****”，100万元, 主持2013.05-2015.05 加拿大自然科学及工程研究委员会博士后资助项目（PDF-437959-2013），Improving DEM-generated ecosites in areas with extreme moisture conditions using remote sensing data，40万元,主持2012.01-2015.12 国家自然科学基金项目 (**),星载激光雷达与高光谱书记联合反演森林生物量的方法与机理,65万元,参与 2008.05-2012.05加拿大自然科学及工程研究委员会重点支持项目(NSERC-Discovery Grants Program)，Development of an advanced growth and yield model for multipurpose sustainable forest management,200万元, 参与 2009.01-2011.12 国家自然科学基金项目(**),基于星载激光雷达波形数据的森林水平结构参数反演方法研究, 25万元,参与2002.01-2005.12 国家“十五”科技攻关资助项目(2001BA510B07-02)，小兴安岭天然林生态采伐更新技术研究,100万元,参与
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学术获奖：2013.05-2014.07 博士后奖学金 (Postdoctoral Fellowships)；加拿大自然科学及工程研究委员会2013.05 优秀博士论文奖（Fraser Inc. Prize for Excellence in Forestry)；University of New Brunswick2009.05-2012.05 博士研究生奖学金 (Alexander Graham Bell Canada Graduate Scholarship)；加拿大自然科学及工程研究委员会2011.05 国家优秀自费留学生奖学金；中国国家留学基金管理委员会2009.07 博士研究生奖学金 (Board of Governor's Scholarship)；University of New Brunswick2005.07 优秀硕士毕业论文；东北林业大学英文学术论文:Yang, Q.,Meng, F.-R, Bourque, C.P.-A, and Zhao, Z.(通讯作者)2017.Mapping high-resolution forest ecosites based on model-predicted soil moisture and nutrient regimes over a large area. Scientific Reports (印刷中） Zhao, Z.,Peng, C., Yang,Q.,Meng,F.-R. et al., 2017. Model prediction of biome-specific global soil respiration from 1960-2012, Earth's Future, 5: 715–729.Song, X., Peng, C., Zhao, Z., Zhang, Z., Guo, B., Wang, W., Jiang, H., Zhu, Q. 2014. Quantification of soil respiration in forest ecosystems across China. Atmospheric Environment. 94: 546-551.Zhao, Z., MacLean, D.A., Meng, F.-R, Bourque, C.P.-A, and Swift, D.E. 2013. Generation of soil drainage equations from an artificial neural network-analysis approach. Can. J. Soil Sci. 93: 329-342. Zhao, Z., Ashraf, M.I., Keys, K. and Meng, F.-R. 2013. Prediction of soil nutrient regime based on a model of DEM-generated clay content for the Province of Nova Scotia, Canada. Canada. Can. J. Soil Sci. 93: 193-203. Ashraf, M.I., Zhao, Z., Bourque, C.P.-A., MacLean, D.A., Meng, F.-R., 2013. Integrating biophysical controls in forest growth and yield predictions with artificial intelligence technology. Can. J. For. Res. 43: 1162–1171Zhao, Z., Ashraf, M.I. and Meng, F.-R. 2013. Model prediction of soil drainage classes over a large area using limited number of field samples: A case study in the Province of Nova Scotia. Canada. Can. J. Soil Sci. 93:73-83. Ashraf, M.I., Zhao, Z., Bourque, C.P.-A. and Meng, F.-R. 2011. GIS-evaluation of two slope-calculation methods regarding their suitability in slope analysis using high-precision LiDAR digital elevation models. Hydrol. Process. 26: 1119-1133. Yang, Q., Benoy, G., Zhao, Z., Chow, T.L., Bourque, C.P.-A. and Meng, F.-R. 2011. Watershed-level analysis of exceedance frequencies for different management strategies. Water Qual. Res. J. Can. 46: 64-73.Zhao, Z., Benoy, G., Chow, T.L., Rees, H.W., Daigle, J.-L. and Meng, F.-R. 2010. Impacts of accuracy and resolution of conventional and LiDAR based DEMs on parameters used in hydrologic modeling. Water Resour. Manag. 24: 1363-1380. Yang, Q., Zhao, Z., Benoy, G., Chow, T.L., Rees, H.W., Bourque, C.P.-A. and Meng, F.-R. 2010. A watershed-scale assessment of cost-effectiveness of sediment abatement with flow diversion terraces. J. Environ. Qual. 39: 220-227. Zhao, Z., Yang, Q., Benoy, G., Chow, T.L., Xing, Z., Rees, H.W. and Meng, F.-R. 2010. Using artificial neural network models to produce soil organic carbon content distribution maps across landscapes. Can. J. Soil Sci. 90: 75-87. Zhao, Z., Chow, T.L., Rees, H.W., Yang, Q., Xing, Z. and Meng, F.-R. 2009. Predict soil texture distributions using an artificial neural network model. Comput. Electron. Agr. 65: 36-48. Yang, Q., Zhao, Z., Chow, T.L., Rees, H.W., Bourque, C.P.-A. and Meng, F.-R. 2009. Using GIS and a digital elevation model to assess the effectiveness of variable grade flow diversion terraces in reducing soil erosion in northwestern New Brunswick, Canada. Hydrol. Process. 23: 3271-3280. Yang, Q., Meng, F.-R., Zhao, Z., Chow, T.L., Benoy, G., Rees, H.W. and Bourque, C.P.-A. 2009. Assessing the impacts of flow diversion terraces on stream surface water yields and sediment yields at a watershed level using SWAT model. Agr. Ecosyst. Environ. 132: 23-31.Zhao, Z., Chow, T.L., Yang, Q., Rees, H.W., Benoy, G., Xing, Z. and Meng, F.-R. 2008. Model prediction of soil drainage classes based on digital elevation model parameters and soil attributes from coarse resolution soil maps. Can. J. Soil Sci. 88: 787-799. Zhao, Z. and Wang, L. 2007. A comparative study on the denoising methods of Thematic Mapper images for forest areas. Journal of Forestry Research, 18: 123-127. 中文学术论文:陈利娜，李小川，丁晓纲，李吉跃，张应中，赵正勇，孙丽芳，华月珊. 2016. 基于地统计学与GIS技术的森林土壤养分空间变异性研究. 林业与环境科学,5郑家,李小川,丁晓纲,莫晓勇,张应中,赵正勇,张祥宇,齐也. 2016.两种模型对森林土壤中量元素空间分布预测,林业与环境科学,5王立海, 赵正勇, 杨旗. 2006. 利用GIS对吉林针阔混交林TM遥感图像分类方法的初探. 应用生态学报,17: 577-582.王立海, 赵正勇. 2005. 林区TM图像消除噪声方法的比较. 东北林业大学学报, 33: 77-79.王立海, 赵正勇. 2005. 基于BP神经网络的针阔混交林TM遥感图像自动分类技术研究. 林业科学, 41: 94-101.杨旗, 董希斌, 赵正勇. 2004. 客运索道侧型设计系统. 东北林业大学学报, 32: 45-47.学术会议:赵正勇. 基于人工神经网络的生态模型. 2016. 第三届全球变化与生态预测国际论坛 2016年7月7-11,中国,长沙. 赵正勇. 生态采伐的前奏---森林生态立地类型的分类研究. 2015. 中国林学会森林工程与林业机械分会2015年年会暨学术研讨会. 2015年10月17-19日,中国,合肥.Meng, F.-R., Zhao, Z., Xing, Z. and Li, S. 2012. Using Artificial Neural Network model to produce high resolution forest soil property maps. EGU 2012-7355, 2012. EGU General Assembly 2012. Apr. 22-27, 2012, Vienna, Austria.Zhao, Z. and Meng, F.-R. 2010. Using artificial neural network models to produce high-resolution forest soil property maps. 5th ECANUSA Forest Science Conference, 14-16 October, 2010, Edmundston, NB, Canada.Zhao, Z. and Meng, F.-R. 2009. Assessing quality and resolution of DEM on hydrological parameters derived from LiDAR data in the Black Brook Watershed. Quebec/New Brunswick WEB and Technical Exchange Workshop, 12 March, 2009, Grand Falls, NB, Canada.Laurent, I.S., Deslandes, J., Michaud A. Therrien, L., Fairchild G., Lavoie, S., Meng, F-R., and Zhao, Z. 2009. Agri-Environment Atlas of the Black Brook Watershed. Regional conference: Quebec/New Brunswick WEB and Technical Exchange Workshop. Mar. 2009, Grand Falls, NB, Canada. Zhao, Z., Meng, F.-R., Yang, Q., Bourque, C. and Swift, E.D. 2006. Improving classification accuracy of TM images in forest areas with auxiliary data. Conference: 2006 IEEE International Geoscience and Remote Sensing Symposium & 27th Canadian Symposium on Remote Sensing. July 31-Aug. 4 2006, Danvers, USA.
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