College of Forestry, Fujian Agriculture and Forestry University, China
My main research interests include forest fire management, forest fire ecology and forestry modeling. The specific aim of my research is to (1) explore more suitable models to predict forest fire occurrence under a changing climate, (2) identify the driving factors that impact forest fire occurrence and spatial distribution in China, and (3) analyze emissions of carbon gases and other particulate matter during forest fires of differing intensities. I have been working for this APFNet project since 2012 and I am currently in charge of five projects funded by Chinese governments at the provincial and national level. I have had more than 20 publications related to forest fire modeling and prediction published within the past five years.
Guo, F., Wang, G., Innes, J.L., Ma, X., Sun, L., and Hu, H. 2015. Gamma generalized linear model to investigate the effects of climate variables on the area burned by forest fire in northeast China. Journal of Forestry Research. DOI 10.1007/s11676-015-0084-2
Guo, F., Innes, J.L., Wang, G., Ma, X., Sun, L., Hu, H., and Su, Z. (2014). Historic distribution and driving factors of human-caused fire in the Chinese boreal forest during 1972-2005. Journal of Plant Ecology. doi:10.1093/jpe/rtu041
Guo, F., Wang, G., Ma, Z., Innes, J.L., and Ma, X. 2014. Comparison of six generalized linear models for modeling the occurrence of lightening-induced fires in northern Daxing’an Mountains, China. Journal of Forestry Research, [In Press].
Futao Guo, Aiqin Liu, Huiling Liang, et al. 2015. Identifying forest fire ignition drivers and effects in Yichun, China. New Forests [in review].
Futao Guo, Guangyu Wang, Zhangwen Su, et al. 2015. What drives fire? An examination of factors influencing forest fire occurrence in southeastern China. Science of the Total Environment. [in review].
Futao Guo, Zhangwen Su, Guangyu Wang, et al. 2015. Identification of spatial distribution and driving factors of wildfire ignitions in the forest of Southeast China. Applied Geography. [in review]
Guo Futao, et al. 2011. Spatial patterns of lightning-ignited forest fires in Daxing’an mountains,Heilongjiang province, China, 1973-1997, Advanced Materials Research, Vols. 183-185, pp 2268-2274
Guo Futao, Hu Haiqing, Jin Sen, Ma Zhihai and Zhang Yang. 2010. Relationship between forest lighting-fire occurrence and weather factors in Daxing’an mountains based on NB and ZINB models. Chinese Journal of Plant Ecology, 34(5):571-577(in Chinese with English Abstract).
Guo Futao, Hu Haiqing, Ma Zhihai and Zhang Yang. 2010. Applicability of different models in simulating the relationships between forest fire occurrence and weather factors in Daxing’an mountains. Chinese Journal of Applied Ecology, 21(1):159-164. (in Chinese with English Abstract).
Guo Futao, Hu Haiqing and Peng Xujian. 2010. Estimation of Gases Release from Shrubs, Herbages and Litters Layer of Different Forest Type in Daxing’an Mountains by Forest Fire in 1980-2005. Scientia Silvae Sinicae, 46(1):78-83. (in Chinese with English Abstract).
Guo Futao, Hu Haiqing and Ma Zhihai. 2009. Spatial point process for spatial distribution pattern of lighting-caused forest fires in DaXing’an mountains. Acta Ecologica Sinica, 29(12):6741-6747 (in Chinese with English Abstract)
Guo Futao, Hu Haiqing and Zhang Jinhui. 2009. Spatiotemporal distribution patterns and influence factors of forest fire in Tahe area. Journal of Natural Disasters, 18(1):204-208. (in Chinese with English Abstract).
Hu Haiqing and Guo Futao. 2008. Estimation of total carbon-containing gas emission from main tree species in forest fires in Daxing’an Mountains. Chinese Journal of Applied Ecology, 19(9):1884-1890. (in Chinese with English Abstract).
Hu Haiqing and Guo Futao. 2006. Influence of fire on the occurrence of forest pest. Scientia Silvae Sinicae, 42(12):77-82. (in Chinese with English Abstract).
Wang Ruijun and Guo Futao. 2005. Relationship between fire and forest pest in Heihe area. Forest Pest and Disease, 24(3):12-14. (in Chinese with English Abstract).