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郭福涛


林学院   发布时间: 2021-04-03   信息员:


郭福涛

1982年生,博士,福建农林大学林学院副院长,副教授,博士生导师。福建农林大学金山学者青年拔尖人才。现任森林草原火灾防控国家创新联盟副理事长,全国森林草原防火标准化技术委员会委员。

主要研究方向为林火生态学,林火预测预报,林火与大气污染等。近五年以第一/通讯作者在国内外著名学术期刊上发表学术论文50余篇,其中SCI收录20余篇。担任众多国际知名学术期刊审稿人。现主持国家重点研发计划战略性国际科技创新合作子课题,国家自然科学基金面上、青年等项目10余项。曾获全国百篇优秀博士论文提名等多个国家级和省级科研奖励。


学科领域:

林火生态管理,森林消防,林火预测预报。主要研究方向为:林火生态学,林火预测预报,林火与大气污染等。


教育及留学经历:

2017/12 – 2018/12University of Washington 美国华盛顿大学访问学者;

2010/11 – 2013/11University of British Columbia 加拿大不列颠哥伦比亚大学博士后;

2008/08 – 2009/08State University of New York-ESF 美国纽约州立大学联合培养博士;

2004/09 - 2010/07,东北林业大学,森林防火,硕士、博士。


工作经历:

2019/09 –   福建农林大学林学院,副院长,副教授(博士生导师)

2017/04 – 2019/09,福建农林大学林学院,副教授(博士生导师);

2013/11 – 2017/04,福建农林大学林学院,讲师(硕士生导师)。


主持项目情况(选择):

1、国家重点研发计划战略性国际科技创新合作项目课题,2018YFE0207800,森林草原燃烧性评估模型研制,2019-2022,在研,主持;

2、国家自然科学基金(面上), 32171807,林火烟气“外源”沉降对森林生态系统CN化学计量的影响机制研究,2022-2025在研主持

3国家自然科学基金(面上)31770697,亚热带典型森林生态系统对林火颗粒物的净化机理及临界负荷研究,2018-2021,已结题,主持;

4国家自然科学基金(青年),31400552,炼山释放细小颗粒物排放机理及潜在成霾性研究,2015-2017,已结题,主持


代表性论文:

1. Y. F. MaW. X. ZhengX. B. GuoM. TigabuGuoF. T*. 2021. Effect of forest floor fuel moisture content on chemical components of PM2.5 emitted during combustion. Chemosphere. 279.

2. X. Li, P.F. Wu, F.T. Guo*X.S. Hu*. A geographically weighted regression approach to detect divergent changes in the vegetation activity along the elevation gradients over the last 20 years. Forest Ecology and Management.490 (2021): 119089.

3. L. F. GuoY. F. MaM. TigabuX. B. GuoW. X. Zheng GuoF. T*. 2020. Emission of atmospheric pollutants during forest fire in boreal region of China. Environmental Pollution. 264:114709.

4. Q. Q. CaoL. J. ZhangZ. W. SuG. Y. WangS. C. SunGuoF. T*. 2021. Comparing four regression techniques to explore factors governing the number of forest fires in SoutheastChina. Geomatics Natural Hazards and Risk. 12: 499-521. doi:10.1080/19475705.2021.1884609.

5. Z. W. SuL. J. ZhengS. S. LuoM. TigabuGuoF. T*. 2021. Modeling wildfire drivers in Chinese tropical forest ecosystems using global logistic regression and geographically weighted logistic regression. Natural Hazards. 27:1-29. doi:10.1007/s11069-021-04733-6. 

6. Q. Q. CaoL. J. ZhangZ. W. SuG. Y. WangGuoF.T*. 2020. Exploring spatially varying relationships between forest fire and environmental factors at different quantile levels. International Journal of Wildland Fire. doi.org/10.1071/WF19010.

7. Z. W. SuM. TigabuQ. Q. CaoG. Y. WangH. Q. HuGuoF. T*. 2019. Comparative analysis of spatial variation in forest fire drivers between boreal and subtropical ecosystems in China. Forest Ecology and Management. 454.

8. X. Y. YangY. F. MaG. Y. WangE .C. AlvaradoM. TigabuY. H. JuGuoF. T*. 2019. Characterization of pollutants emitted during burning of eight main tree species in subtropical China. Atmospheric Environment. 215.

9. GuoF.TY. H. JuG. Y. Wang*E. C. AlvaradoX. J. YangY. F. MaA .Q. Liu. 2018. Inorganic chemical composition of PM2.5 emissions from the combustion of six main tree species in subtropical China. Atmospheric Environment. 189:107–115.

10. Q. F. JinX. Q. MaG. Y. WangX. J. YangGuoF. T*. 2018. Dynamics of major air pollutants from crop residue burning in mainland China 2000-2014. Journal of Environmental Sciences. 70:190-205.

11. Z. W. SuH. Q. HuG. Y. WangY. F. MaX. J. YangGuoF. T*. 2018. Using GIS and Random Forests to identify fire drivers in a forest city Yichun China. Geomatics Natural Hazards and Risk9(1):1207-1229.

12. GuoF.TZ. W. SuG. Y. Wang*S. LongM. TigabuX. J. YangH. Q. Hu. 2017. Understanding fire drivers and relative impacts in different Chinese forest ecosystems. Science of the Total Environment. 605-606411-425.

13. GuoF.TG. Y. Wang*Z. W. SuH. L. LiangW. H. WangF. F. LinA. Q. Liu. 2016. What drives forest fire in FujianChina? Evidence from logistic regression and Random Forests. International Journal of Wildland Fire. 25:505-519.

14. GuoF.TG. Y. Wang*J. L. InnesZ. H. MaA. Q. LiuY. R. Lin. 2016.  Comparison of Six Generalized Linear Models for Modeling the Occurrence of Lightning-Induced Fires in Northern Daxing’ an MountainsChina. Journal of Forestry Research. 27(2):379-388.

15. GuoF.TS. SelvalakshmiaF. F. LinG. Y. WangW. H. WangZ. W. SuA. Q. Liu. 2016. Geospatial information on geographical and human factors improved anthropogenic fire occurrence modeling in the Chinese boreal forest. Canadian Journal of Forest Research. 46:582-594.

16. GuoF.TZ. W. SuG. Y. Wang*L. SunF. F. LinA. Q. Liu. 2016. Wildfire ignition in the forests of southeast China: Identifying drivers and spatial distribution to predict wildfire likelihood. Applied Geography. 66: 12-21.

17. GuoF. TL. I. JohnG. Y. Wang*X. Q. MaL. SunH. Q. HuZ. W. Su. 2015. Historic distribution and driving factors of human-caused fires in the Chinese boreal forest between 1972 and 2005. Journal of Plant Ecology. 8(5):480-490.


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