John Perez-Garcia

Affiliations: 
University of Washington, Seattle, Seattle, WA 
Area:
Forestry and Wildlife Agriculture, Statistics, Meteorology
Google:
"John Perez-Garcia"
BETA: Related publications

Publications

You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect.

Hu Y, Perez-Garcia J, Robbins A, et al. (2015) China’s role in the global forest sector: how will the US recovery and a diminished Chinese demand influence global wood markets? Scandinavian Journal of Forest Research. 30: 13-29
Petrasek S, Perez-Garcia J, Bare BB. (2015) Valuing forestlands with stochastic timber and carbon prices Annals of Operations Research. 232: 217-234
Perez-Garcia J. (2010) Forest sector models and their application Forest Policy and Economics. 12: 1
Petŕǎsek S, Perez-Garcia J. (2010) A Monte Carlo methodology for solving the optimal timber harvest problem with stochastic timber and carbon prices Mathematical and Computational Forestry and Natural-Resource Sciences. 2: 67-77
Petrasek S, Perez-Garcia JM. (2010) Valuation of timber harvest contracts as American call options with modified least-squares monte carlo algorithm Forest Science. 56: 494-504
Lippke B, Perez-Garcia J. (2008) Will either cap and trade or a carbon emissions tax be effective in monetizing carbon as an ecosystem service Forest Ecology and Management. 256: 2160-2165
Perez-Garcia J, Barr JK. (2007) Lumber manufacturing, log exports, and timber availability in western Washington Western Journal of Applied Forestry. 22: 15-20
Miner R, Perez-Garcia J. (2007) The greenhouse gas and carbon profile of the global forest products industry Forest Products Journal. 57: 80-90
Perez-Garcia J, Lippke B, Comnick J, et al. (2005) An assessment of carbon pools, storage, and wood products market substitution using life-cycle analysis results Wood and Fiber Science. 37: 140-148
Xu W, Lippke BR, Perez-Garcia J. (2003) Valuing biodiversity, aesthetics, and job losses associated with ecosystem management using stated preferences Forest Science. 49: 247-257
See more...