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Forest Science is a peer-reviewed journal publishing fundamental and applied research that explores all aspects of natural and social sciences as they apply to the function and management of the forested ecosystems of the world. Topics include silviculture, forest management, biometrics, economics, entomology & pathology, fire & fuels management, forest ecology, genetics & tree improvement, geospatial technologies, harvesting & utilization, landscape ecology, operations research, forest policy, physiology, recreation, social sciences, soils & hydrology, and wildlife management.
Forest Science is published bimonthly in February, April, June, August, October, and December.

2015 Impact Factor: 1.702
Ranking: 16 of 66 in forestry

Also published by SAF:
Journal of Forestry
Other SAF Publications

Publisher: Society of American Foresters

More about this publication?
Volume 54, Number 5, October 2008

Research article

Estimating Area of Forest Change by Random Sampling of Change Strata Mapped Using Satellite Imagery
pp. 475-480(6)
Authors: Dymond, John R.; Shepherd, James D.; Arnold, Greg C.; Trotter, Craig M.

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Simulating Light Availability under Different Hybrid Poplar Clones in a Mixed Intensive Plantation System
pp. 481-489(9)
Authors: Paquette, Alain; Messier, Christian; Périnet, Pierre; Cogliastro, Alain

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Spatial Scale and Stand Structure in Northern Hardwood Forests: Implications for Quantifying Diameter Distributions
pp. 497-506(10)
Authors: Janowiak, Maria K.; Nagel, Linda M.; Webster, Christopher R.

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Estimating Land Rent from the Market Value of Timberland
pp. 507-512(6)
Authors: Mehrotra, Shiv N.; Carter, Douglas R.; Alavalapati, Janaki

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Drought-Induced Changes in C and N Stoichiometry in a Quercus ilex Mediterranean Forest
pp. 513-522(10)
Authors: Sardans, Jordi; Peñuelas, Josep; Ogaya, Romà

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Sparse Bayesian Estimation of Forest Stand Characteristics from Airborne Laser Scanning
pp. 543-552(10)
Authors: Junttila, Virpi; Maltamo, Matti; Kauranne, Tuomo

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Combining Tree- and Stand-Level Models: A New Approach to Growth Prediction
pp. 553-566(14)
Authors: Yue, Chaofang; Kohnle, Ulrich; Hein, Sebastian

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