Fan, Zhaofei

Zhaofei Fan, Associate Professor

SFWS 3219 | (334) 844-1014 | zzf0008@auburn.edu

PhD Forestry, Wildlife, and Range Sciences, University of Idaho, 1999

MS Statistics, University of Idaho, 2003

MS Forest Ecology, Beijing Forestry University, Beijing, China  1989

BS Agronomy (Forestry), Shandong Agricultural University, Shandong, China   1987

AuthorsYearTitlePublishing InfoLink
Chen, F., Z. Fan, S. Niu and Jingming Zheng2014The influence of precipitation and consecutive dry days on burned areas in Yunnan province, Southwestern China. Advances in Meteorology. http://dx.doi.org/10.1155/2014/748923
Crosby, M.K., Z. Fan, M.A. Spetich, T.D. Leininger and X. Fan. 2014Early indications of drought impacts on forests in the southeastern United States.Southeastern Geographer54(1):72-85.
Crosby, M.K., Z. Fan, M.A. Spetich, T.D. Leininger, and X. Fan. 2015Early indications of drought impacts on forests in the southeastern United States.The Forestry Chronicle 91(4):1-8.
Fan, Z., Q. Yao, M.A. Spetich, A.W. Ezell, D.C. Dey, S.R. Shifley, and J.M. Kabrick. 2015Efficacy of even- and uneven-aged management to promote oak regeneration in the Missouri Ozarks and associated site and stand factors.Forest Science 61(2):397-408.
Hammond, D., J.M. Varner, J.S. Kush, and Z. Fan. 2015Contrasting sapling bark allocation of five southeastern USA hardwood tree species in a fire-prone ecosystem.Ecosphere 6(7) Article 112.
Simek, S. L., J.L. Belant, Z. Fan, B.W. Young, B.D. Leopold, J. Fleming, and B. Waller. 2015Source populations and roads influence American black bear recolonization.European Journal of Wildlife Research 61: 583-590.
Skidmore, J.P., T. G. Matney, E.B. Schultz and Z. Fan. 2014Initial estimation of forest inventory sizes for timber sales from easily observed stand attributes.Southern Journal of Applied Forestry (Forest Science).

Generally speaking, my interests include (1) multivariate statistical analyses and computer simulation (intensive methods) of long-term landscape change and sustainable multiple-resource (e.g., timber production, wildlife habitat, water quality) management under natural (fire, wind) disturbances and alternative management scenarios; (2) multilevel/hierarchical, ecological modeling to quantify the spatial-temporal patterns and dynamics of natural ecosystems including population dynamics, community structure,  inter- and intra- specific competition and biodiversity; (3) generalized mixed models for experimental and survey data analysis (e.g.,  mortality/survival and growth models); and (4) application of  spatial statistics and GIS/RS/GPS  in regional resource inventory, monitoring and conservation.

Specific areas (in the southeast US) include, but are not limited to, 1) growth and survival of genetically-improved southern pine plantations; 2) dynamics of natural longleaf pine stands and historical fire regime; 3) landscape ecology of biological invasion of nonnative invasive plants (e.g., Chinese tallow, cogongrass, kudzu, Japanese climbing fern, etc.)and quantification of community invasibility (or biotic resistance); 4) land use history, climate change, and forest decline; 5) prescribed fire and oak regeneration; and 6) forest succession and fragmentation and wildlife habitat suitability.

Teaching Responsibilities:

Natural Resources Biometrics, Geographical Information System (GIS),

Spatial Statistics for Natural Resources, Ecological Modeling, Forest Measurement

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