Works matching IS 0015749X AND DT 2017 AND VI 63 AND IP 3
Results: 11
Foresters' Perceptions of the Frequency, Cost, and Rationale for Seasonal Timber Harvesting Restrictions in Wisconsin.
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- Forest Science, 2017, v. 63, n. 3, p. 331, doi. 10.5849/FS-2016-051
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- Article
Effects of Repeated Burning on Snag Abundance in Shortleaf Pine Woodlands.
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- Forest Science, 2017, v. 63, n. 3, p. 342, doi. 10.5849/FS-2016-096
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- Article
New Variable-Top Merchantable Volume and Weight Equations Derived Directly from Cumulative Relative Profiles for Loblolly Pine.
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- Forest Science, 2017, v. 63, n. 3, p. 261, doi. 10.5849/FS-2016-076
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- Article
Effects of Measurement Error in Total Tree Height and Upper-Stem Diameter on Stem Volume Prediction.
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- Forest Science, 2017, v. 63, n. 3, p. 250, doi. 10.5849/FS-2016-087
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- Article
Biomass Estimates of Small Diameter Planted and Natural-Origin Loblolly Pines Show Major Departures from the National Biomass Estimator Equations.
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- Forest Science, 2017, v. 63, n. 3, p. 319, doi. 10.5849/FS-2016-047
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- Article
Combining 3-Level Multichoice Goal Programming with Multicoefficient Goal Programming to Evaluate Forest Ecosystem Service Potential Improved by Thinning.
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- Forest Science, 2017, v. 63, n. 3, p. 310, doi. 10.5849/FS-2016-059
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- Article
Site Index Models for Tree Species in the Northeastern United States.
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- Forest Science, 2017, v. 63, n. 3, p. 283, doi. 10.5849/FS-2016-090
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- Article
Payments for Carbon Sequestration to Alleviate Development Pressure in a Rapidly Urbanizing Region.
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- Forest Science, 2017, v. 63, n. 3, p. 270, doi. 10.5849/FS-2016-084R1
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- Article
Individual Tree Biomass Models to Estimate Forest Biomass for Large Spatial Regions Developed Using Four Pine Species in China.
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- Forest Science, 2017, v. 63, n. 3, p. 241, doi. 10.5849/FS-2016-055
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- Article
Interactive Effects of Contact Fungicide and Cold Stratification on the Germination Rate for Five Dominant Temperate Tree Species.
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- Forest Science, 2017, v. 63, n. 3, p. 303, doi. 10.5849/FS-2016-110R3
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- Article
Artificial Neural Network Models: An Alternative Approach for Reliable Aboveground Pine Tree Biomass Prediction.
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- Forest Science, 2017, v. 63, n. 3, p. 291, doi. 10.5849/FS-16-006
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- Article