Modeling tree-level fuel connectivity to evaluate the effectiveness of thinning treatments for reducing crown fire potential

Forest Ecology and Management

Volumn 264, Issue , 2012, Pages 134-149

  Contreras, Marco A ^a   Parsons, Russell A ^b   Chung, Woodam ^c  

^a UNIVERSITY OF KENTUCKY   (United States)

^b ROCKY MOUNTAIN RESEARCH STATION   (United States)

^c UNIVERSITY OF MONTANA   (United States)

Author keywords

Fire behavior; Fire simulation modeling; LiDAR; Thinning treatments; WFDS

Indexed keywords

CONNECTIVITY PREDICTIONS; CROWN FIRES; CUT-TREE; FIRE BEHAVIOR; FIRE MANAGEMENT; FIRE SIMULATION MODELING; FOREST STAND; FUEL TREATMENTS; LAND MANAGERS; LIGHT DETECTION AND RANGING; LOGISTIC REGRESSION MODELS; MONTANA , USA; PHYSICS-BASED; REGRESSION MODEL; SCALE MODELS; SIMULATION MODEL; SPATIAL VARIABILITY; STUDY AREAS; THINNING TREATMENT; TREE DATA; TREE LOCATION; WFDS;

FIRES; FORESTRY; FUELS; OPTICAL RADAR; RATING; REGRESSION ANALYSIS;

COMPUTER SIMULATION;

CANOPY ARCHITECTURE; ECOLOGICAL MODELING; FIRE BEHAVIOR; FIRE MANAGEMENT; FUEL; LANDSCAPE; LIDAR; LOGISTICS; NUMERICAL MODEL; REGRESSION ANALYSIS; SPATIAL DISTRIBUTION; SPATIAL VARIATION; STAND STRUCTURE; THINNING;

CROWNS; FOREST FIRES; FUELS; RADAR; REGRESSION ANALYSIS; SIMULATION; THINNING;

MONTANA; UNITED STATES;

EID: 80755184699     PISSN: 03781127     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.foreco.2011.10.001     Document Type: Article

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