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Mo Zhou

Forestry and Natural Resources 

  • Assistant Professor of Forest Economics and Management
PFEN Room G021C
715 W. State Street
West Lafayette, IN 47907

Dr. Zhou’s primary research interests at present are 1) integrating economic theory and data science to value nonmarket goods in forests and derive landowners’ preferences and their interactions; 2) optimal decision making in forest management under risk and uncertainty induced by climate change; 3) economics of forest biodiversity at large scale; 4) dynamics of timber market and trade of forest products.  Dr. Zhou was previously an Assistant Professor of Forest Economics at West Virginia University and before that an Assistant Professor of Economics at the University of Alaska Fairbanks. She has a B.S. in Information Sciences in Forestry from Beijing Forestry University, a M.S. in Forestry from the Technical University of Munich, and a Ph.D. from the University of Wisconsin – Madison.

Dr. Mo Zhou is the co-director of the Forest Advanced Computing & Artificial Intelligence (FACAI) Lab. As a Global Forest Biodiversity Initiative (GFBI) continental center of research, education, and public outreach for North America, FACAI Lab employs the paradigm of Artificial Intelligence (AI) encompassing different state-of-the-art machine learning and statistical methods to study global, regional, and local forest resource management and biodiversity conservation. FACAI is a team of scholars from 90 institutions in 44 countries.

Multiple graduate assistantships available for 2018 and 2019.

Selected Publications

Zhou, X., Liang, J., & Zhou, M. (n.d.). Coastal Alaska Forests under Climate Change: What to Expect. Manuscript submitted for publication.

Gatti, R. C., Liang, J., Velichevskaya, A., & Zhou, M. (2019). Sustainable palm oil may not be so sustainable. Science of The Total Environment, 652, 48--51.

Buongiorno, J. (n.d.). Optimal forest management under financial risk aversion with discounted Markov decision process models. Manuscript submitted for publication.

Liang, J., & Zhou, M. (2010). A geospatial model of forest dynamics with controlled trend surface. Ecological Modelling, 221(19), 2339--2352.

Zhou, M., Liang, J., & Buongiorno, J. (2008). Adaptive versus fixed policies for economic or ecological objectives in forest management. Forest ecology and management, 254(2), 178--187.

Zhou, M., Buongiorno, J., & Liang, J. (2008). Economic and ecological effects of diameter caps: a Markov decision model for Douglas-fir/western hemlock forests. Forest Science, 54(4), 397--407.

Liang, J., Buongiorno, J., Monserud, R. A., Kruger, E. L., & Zhou, M. (2007). Effects of diversity of tree species and size on forest basal area growth, recruitment, and mortality. Forest Ecology and Management, 243(1), 116--127.

Zhou, M., & Buongiorno, J. (2006). Forest landscape management in a stochastic environment, with an application to mixed loblolly pine--hardwood forests. Forest Ecology and Management, 223(1-3), 170--182.

Zhou, M., & Buongiorno, J. (2006). Space-time modeling of timber prices. Journal of agricultural and resource economics, 40--56.

Rollin, Fran\ccois, Buongiorno, J., Zhou, M., & Peyron, J. (2005). Management of mixed-species, uneven-aged forests in the French Jura: from stochastic growth and price models to decision tables. Forest Science, 51(1), 64--75.

Forestry and Natural Resources, 715 West State Street, West Lafayette, IN 47907-2061 USA, (765) 494-3590

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