• Developing a computerized appr...

Treffer: Developing a computerized approach for optimizing individual tree removal to efficiently reduce crown fire potential

Title:
Developing a computerized approach for optimizing individual tree removal to efficiently reduce crown fire potential
Authors:
CONTRERAS, Marco A, CHUNG, Woodam
Source:
Forest ecology and management. 289:219-233
Publisher Information:
Kidlington: Elsevier, 2013.
Publication Year:
2013
Physical Description:
print, 3/4 p
Original Material:
INIST-CNRS
Subject Terms:
Ecology, Ecologie, Forestry, silviculture, Foresterie, sylviculture, Sciences biologiques et medicales, Biological and medical sciences, Sciences biologiques fondamentales et appliquees. Psychologie, Fundamental and applied biological sciences. Psychology, Ecologie animale, vegetale et microbienne, Animal, plant and microbial ecology, Ecologie animale et végétale, Animal and plant ecology, Synécologie, Synecology, Ecosystèmes terrestres, Terrestrial ecosystems, Sylviculture, Forestry, Aménagement forestier. Types de peuplements. Dynamique des peuplements. Traitements sylvicoles. Entretien des peuplements. Régénération naturelle, Forest management. Stand types and stand dynamics. Silvicultural treatments. Tending of stands. Natural regeneration, Types de peuplements. Dynamique des peuplements. Traitements sylvicoles. Entretien des peuplements. Régénération naturelle, Stand types and stand dynamics. Silvicultural treatments. Tending of stands. Natural regeneration, Phytopathologie. Zoologie agricole. Protection des cultures et des forets, Phytopathology. Animal pests. Plant and forest protection, Accidents climatiques. Feux de végétation, Weather damages. Fires, Feux de végétation, Forest and land fires, Partie aérienne végétal, Above ground plant part, Parte aérea vegetal, Partie de plantes, Plant part, Parte planta, Plante ligneuse, Woody plant, Planta leñosa, Arbre, Tree, Arbol, Coût, Costs, Coste, Croissance, Growth, Crecimiento, Feu végétation, Vegetation fire, Fuego vegetación, Houppier, Tree crown, Copa, Incendie forêt, Forest fire, Incendio forestal, Individu, Individual, Individuo, Modèle simulation, Simulation model, Modelo simulación, Modélisation, Modeling, Modelización, Optimisation, Optimization, Optimización, Potentiel, Potential, Potencial, Réseau, Network, Red, Traitement informatique, Computerized processing, Tratamiento informático, Ecologie forestière, Forest ecology, Ecología forestal, Fire modeling and simulation, Skid-trail network, Skidding cost, Thinning treatments, Tree growth model
Document Type:
Fachzeitschrift Article
File Description:
text
Language:
English
Author Affiliations:
Department of Forestry, College of Agriculture, University of Kentucky, 214 Thomas Poe Cooper Building (Office: 204), Lexington, KY 40546-0073, United States
Department of Forest Management, College of Forestry and Conservation, University of Montana, Missoula, MT 59812, United States
ISSN:
0378-1127
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=26867749
Rights:
Copyright 2014 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Animal, vegetal and microbial ecology

Phytopathology. Agricultural zoology. Crops and forests protection

Silviculture
Accession Number:
edscal.26867749
Database:
PASCAL Archive

Weitere Informationen

Thinning is a common silvicultural treatment being widely used to restore different types of overstocked forest stands in western U.S. because of its effect on changing fire behavior. Typically, thinning is applied at the stand level using prescriptions derived from sample plots that ignore variability in tree sizes and location within stands. Thinning prescriptions usually specify tree removal in terms of number of trees or basal area, resulting in a large number of cut-tree spatial patterns that meet the same prescription. However, the effect of each pattern on reducing crown fire potential can vary widely depending on the spatial distribution of leave-trees after treatment. Additionally, stand-level thinning prescriptions ignore cut-tree locations, which influence the economic efficiency of the thinning operations. Lastly, decisions on tree selection affect future competition levels of remaining trees, but the associated spatial and temporal effects on tree growth and crown fire potential over time are not considered in the development of thinning prescriptions. To address the limitations of current stand-level thinning practices, we designed a computerized approach to optimize individual tree removal and produce site specific thinning prescriptions that efficiently reduce crown fire potential. Based on stem map and tree attributes derived from light detection and ranging (LiDAR) technology and a distance-dependent individual tree growth model, current and future tree-level fuel connections between adjacent trees were predicted and used as measures of crown fire potential. The approach makes the spatial selection of cut- and leave-trees that most efficiently reduces crown fire initiation and propagation over time while ensuring cost efficiency of the thinning treatment. Application results on a forest stand in western Montana show that the optimal tree selection provided by the computerized approach can reduce crown fire potential more efficiently than current thinning practices represented by a manual selection of tree removal.