王帅，博士，副教授。
2018年毕业于沈阳农业大学，获农学博士学位，曾获2018年沈阳农业大学优秀博士毕业论文。先后主持或参加多个国家级和省部级项目。在Geoderma，Catena，Ecological Indicators和Journal of Hydrology等主流期刊发表SCI论文16篇（累积影响因子58.2），其中第一作者或通讯作者12篇（累积影响因子42.172）。
E-mail:shuaiwang666@syau.edu.cn/shuaiwangsy@163.com
研究兴趣
主要从事方向为数字土壤制图、土地空间模拟和土壤资源遥感应用方面的研究。针对复杂景观条件下土壤属性的高度空间异质性，将土壤发生学知识与模型方法有机的结合，提高数据稀缺地区土壤属性预测的准确性与真实性。目前主要开展自然保护地土壤固碳效应的相关研究工作。
教育教学：
讲授《土地利用工程学》、《土地整治学》、《专业英语》（土治）、《土地整治规划设计》和《土地资源调查》本科生课程。
教育经历
1. 2004.9-2009.6，沈阳农业大学，土地资源管理专业，管理学学士;
2. 2009.9-2012.6，沈阳农业大学，土地利用与信息技术专业，农学硕士;
3. 2013.9-2018.6 ，沈阳农业大学，土地资源与信息技术专业，农学博士；
4. 2015.4-2017.2，中科院南京土壤研究所，联合培养博士，导师:张甘霖；
5. 2017.2-2018.2，美国Purdue大学,访问学者，导师：Qianlai Zhuang；
6. 2019.4 – 2021.4，中国科学院地理科学与资源研究所, 生态学博士后，导师: 何念鹏
7. 2020.6-2022.6，美国Purdue大学，博士后，导师：Qianlai Zhuang；
部分奖励与荣誉
2019.6, 辽宁省农业科技贡献奖二等奖（排名第八）;
2018.6，沈阳农业大学优秀博士学位论文;
主持的主要科研项目
2020.1- 2022.1,中国博士后科学基金第66批面上资助项目“基于遥感-模型模拟的自然保护地土壤碳氮储量定量研究”（2019M660782）;
2019.7-2022.7,辽宁省教育厅科研项目“基于遥感技术的三维土壤制图模型与储碳功能定量研究”（LSN1N201910）;
2018.8-2021.8,沈阳农业大学公开招聘博士毕业生科研启动资助课题项目“辽西北地区关键土壤属性数字制图方法研究”;
代表性学术论文
1.WangShuai,AdhikariKabindra, ZhuangQianlai, YangZijiao, JinXinxin *, WangQiubing, andBianZhenxing. An improved similarity-based approach to predicting and mapping soil organic carbon and soil total nitrogen in a coastal region of northeastern China.PeerJ, 2020, 43319.
2.Wang Shuai, Zhuang Qianlai, Jin Xinxin, Yang Zijiao, Liu Hongbin*. Predicting Soil Organic Carbon and Soil Nitrogen Stocks in Topsoil of Forest Ecosystems in Northeastern China Using Remote Sensing Data.Remote Sensing, 2020, 12, 1115.
3.WangShuai,AdhikariKabindra, Zhuang Qianlai, Gu Hanlong*, JinXinxin*. Impacts of urbanization on soil organic carbon stocks in the northeast coastal agricultural areas of China.Science of The Total Environment，2020, 721, 137814.
4.Wang Shuai, Gao Jinhu, Zhuang Qianlai, Lu Yuanyuan, Gu Hanlong*, Jin Xinxin. Multispectral Remote Sensing Data Are Effective and Robust in Mapping Regional Forest Soil Organic Carbon Stocks in a Northeast Forest Region in China.Remote Sensing.2020, 12, 393.
5.Bian Zhenxing, Guo Xiaoyu,Wang Shuai*, Zhuang Qianlai, Jin Xinxin, Wang Qiubing, Jia Shuhai. Applying statistical methods to map soil organic carbon of agricultural lands in northeastern coastal areas of China,Archives of Agronomy and Soil Science, 2019. DOI: 10.1080/03650340.2019.1626983.
6.WangShuai, ZhuangQianlai,YangZijiao,YuNa*,JinXinxin*.Temporal and Spatial Changes of Soil Organic Carbon Stocks in the Forest Area of Northeastern China.Forests2019, 10, 1023.
7. Qi Li,Wang Shuai*, Zhuang Qianlai, Yang Zijiao Bai Shubin, Jin Xinxin, Lei, Guangyu. Spatial-Temporal Changes in Soil Organic Carbon and pH in the Liaoning Province of China: A Modeling Analysis Based on Observational Data. Sustainability 2019, 11, 3569.
8.Wang Shuai, Jin Xinxin, Adhikari, Kabindra, Li Wenen, Yu Miao, Bian Zhenxing*, Wang, Qiubing*. Mapping total soil nitrogen from a site in northeastern China.Catena, 2018, 166, 134-146.
9.Wang Shuai,Zhuang, Qianlai, Jin Xinxin, Wang Qiubing*, Jia Shuhai. Spatial Variations of Soil Organic Carbon Stocks in a Coastal Hilly Area of China.Geoderma2018, 314, 8-19.
10.Wang Shuai,Adhikari Kabindra, Jin Xinxin, Wang Qiubing*. Role of environmental variables in the spatial distribution of soil carbon (C), nitrogen (N), and C:N ratio from the northeastern coastal agroecosystems in China.Ecological Indicators2018, 84, 263-272.
11.Wang Shuai, Zhuang Qianlai, Wang Qiubing*, Jin Xinxin Han, Chunlan. Mapping stocks of soil organic carbon and soil total nitrogen in Liaoning Province of China.Geoderma2017，305(1), 250-263.
12.WangShuai,WangQiubing*,AdhikariKabindra,ShuhaiJia, JinXinxin, LiuHongbin. Spatial-Temporal Changes of Soil Organic Carbon Content in Wafangdian, China.Sustainability, 2016, 8(11): 1154.
13. Jin Xinxin#,Wang Shuai#,Yu Na*, Zou Hongtao, An Jing, Zhang Yuling, Zhang Yulong. 2018. Spatial predictions of the permanent wilting point in arid and semi-arid regions of Northeast China.Journal of Hydrology, 2018, 564, 367-375.
14. Guo Xiaoyu, Bian Zhenxing*,Wang Shuai, Wang Qiubing, Zhang Yufei, Zhou Jun, Lin Lin. Prediction of the spatial distribution of soil arthropods using a random forest model: A case study in Changtu County, Northeast China.Agriculture Ecosystems & Environment, 2020, 292.
15. Wang Yan,Wang Shuai, Adhikari Kabindra, Wang Qiubing*, Sui Yueyu, Xin Gang. Effect of cultivation history on soil organic carbon status of arable land in northeastern China.Geoderma2019, 342, 55-64.
16. Bian Zhenxing,Wang Shuai,Wang Qingbing, Yu Miao*, Qian Fengkui*. Effects of urban sprawl on arthropod communities in peri-urban farmed landscape in Shenbei New District, Shenyang, Liaoning Province, China.Scientific reports, 2018, 8(1), 101.
