Fuels are of great importance in fire behaviour prediction. This paper deals with the prediction of aboveground foliage and branch biomass of calabrian pine (Pinus brutia Ten.) and Anatolian black pine (P. nigra J.F. Arnold subsp. nigra var. caramanica (Loudon) Rehder). The study was based on a total of 418 destructively sampled calabrian and black pine trees and saplings. As a result of the analyses, several regression equations were developed for predicting foliage, fine branch (<0.6 cm), medium branch (0.6-1.0 cm), active fuels (foliage+fine branch), thick branch (1.0-2.5 cm), and total fuel loading. The relationships between fuel biomass and tree properties were determined by multiple linear regressions, considering tree properties as t...
Accurate fuel load estimation is an important prerequisite for effective forest fire management. The...
Brutian pine (Pinus brutia Ten.) is the most widespread conifer species in the Eastern Mediterranean...
International audience& Context Biomass prediction is important when dealing for instance with carbo...
Canopy fuel characteristics play an important role in crown fire behaviour in conifer forests. In th...
Calabrian pine (Pinus brutia Ten.) is the most widely distributed coniferous species in Turkey. Fore...
Biomass equations are presented for calabrian pine stands within the Adana-Karaisalý Regional Forest...
Canopy fuel characteristics that influence the initiation and spread of crown fires were measured i...
In this study, biomass equations are presented for crimean pine (Pinus nigra Arnold) stands within t...
Assessment of crown fire potential requires quantification of canopy fuels. In this study, canopy fu...
Fuel moisture content is an important variable for forest fires because it affects fuel ignition and...
WOS: 000274217700012In this study, biomass equations are presented for scots pine stands within the ...
The aim of this study was to develop allometric equations for the estimation of above-ground biomass...
The fuel complex variables canopy bulk density and canopy base height are often used to predict crow...
The mild climate and, in recent decades, the increased demand for timber have favoured the establish...
Accurate quantification of fine fuel loads (e.g. foliage and twigs) in forests is required for many ...
Accurate fuel load estimation is an important prerequisite for effective forest fire management. The...
Brutian pine (Pinus brutia Ten.) is the most widespread conifer species in the Eastern Mediterranean...
International audience& Context Biomass prediction is important when dealing for instance with carbo...
Canopy fuel characteristics play an important role in crown fire behaviour in conifer forests. In th...
Calabrian pine (Pinus brutia Ten.) is the most widely distributed coniferous species in Turkey. Fore...
Biomass equations are presented for calabrian pine stands within the Adana-Karaisalý Regional Forest...
Canopy fuel characteristics that influence the initiation and spread of crown fires were measured i...
In this study, biomass equations are presented for crimean pine (Pinus nigra Arnold) stands within t...
Assessment of crown fire potential requires quantification of canopy fuels. In this study, canopy fu...
Fuel moisture content is an important variable for forest fires because it affects fuel ignition and...
WOS: 000274217700012In this study, biomass equations are presented for scots pine stands within the ...
The aim of this study was to develop allometric equations for the estimation of above-ground biomass...
The fuel complex variables canopy bulk density and canopy base height are often used to predict crow...
The mild climate and, in recent decades, the increased demand for timber have favoured the establish...
Accurate quantification of fine fuel loads (e.g. foliage and twigs) in forests is required for many ...
Accurate fuel load estimation is an important prerequisite for effective forest fire management. The...
Brutian pine (Pinus brutia Ten.) is the most widespread conifer species in the Eastern Mediterranean...
International audience& Context Biomass prediction is important when dealing for instance with carbo...