Learn to see the forest and the trees
Do forest edges reduce timber productivity – Implications for retention forestry techniques
Baker et al. in: Forest Ecology and Management (2019), 448, pp 208-217
Public Consciousness and Influence of Law on Forest Crimes: Insights from Kastamonu, Turkey
Gencay, Mercimek in: Forest Policy and Economics (2019), 106, Article 1978
Mechanical Behavior of Cross-Laminated Timber Panels Made of Low-Added-Value Timber
Alencar, Moura in: Forest Products Journal (2019), 69:3, pp 177-184
Bark Features for Identifying Resonance Spruce Standing Timber
Dinulica et al. in: Forests (2019), 10:9, Article 799
Combination of Multi-Temporal Sentinel 2 Images and Aerial Image Based Canopy Height Models for Timber Volume Modelling
Schumacher et al. in: Forests (2019), 10:9, Article 746
Impact of Initial Planting Density on the Optimal Economic Rotation of Chinese Fir (Cunninghamia lanceolata (Lamb.) Hook) in an Experimental Forest Plantation
Liu et al. in: Forests (2019), 10:9, Article 713
Machinability Study of Australia’s Dominate Plantation Timber Resources
Kotlarewski et al. in: Forests (2019), 10:9, Article 805
Morphology, Growth and Architecture Response of Beech (Fagus orientalis Lipsky) and Maple Tree (Acer velutinum Boiss.) Seedlings to Soil Compaction Stress Caused by Mechanized Logging Operations
Picchio et al. in: Forests (2019), 10:9, Article 771
Non-Destructive Evaluation Techniques and What They Tell Us about Wood Property Variation
Schimleck et al. in: Forests (2019), 10:9, Article 728
Public Attitudes about Private Forest Management and Government Involvement in the Southeastern United States
Kreye, Rimsaite, Adams in: Forests (2019), 10:9, Article 776
Roundwood Use by Southern Wood Pellet Mills: Findings from Timber Product Output Mill Surveys
Brandeis, Abt in: Journal of Forestry (2019), 117:5, pp 427-434
Canopy gap regime as a function of woodland age in the Kansas Cross Timbers
Cory, Russell, Keoshkerian in: Plant Ecology (2019), 220:9, pp 887-900
Classification and characterization of thermally modified timber using visible and near-infrared spectroscopy and artificial neural networks: a comparative study on the performance of different NDE methods and ANNs
Nasir et al. in: Wood Science and Technology (2019), 53:5, pp 1093-1109