Oloruntobi Gideon Olugbadieye

Université du Québec en Abitibi-Témiscamingue · Forest Research Institute (IRF)

Global warming in boreal forests is more pronounced than elsewhere, as temperature is increasing twice as fast as the rest of the planet. Low water availability in some boreal forest stands is one of the numerous consequences of increasing temperature. Sites with coarse surficial deposits where water drains fast are more vulnerable to water stress,...

Daramola JO, Adesuyi FE, Olugbadieye OG, Akinbowale AS, Adekunle VAJ. 2020. Rate of timber harvest and the effects of illegal activities on forest conservation in Southwestern Nigeria. Asian J For 5: 8-16. Availability of accurate data on timber harvest is very important for sustainable forest management. These data are not readily available, makin...

This study focused on the assessment of tree species diversity and abundance at The Federal University of Technology, Akure Tropical Forest Obanla. The research was carried out from May, 2019 to September, 2019. Complete enumeration sampling was adopted for the data collection and all trees with diameter at breast height (Dbh) above 0.1 m were iden...

This study tested the efficacy of nonlinear models for tree volume estimation in a complex tropical natural ecosystem. Data were collected from the four permanent sample plots located in Strict Nature Reserve in Akure forest reserve, each plot covering an area of 0.25 ha. All living trees within a diameter range (>10 cm) were measured within all th...

Tree growth variables are important tree characteristics connected to forestry activities. This study focused on crown width as it reflects general tree health and provides habitat to diverse plants and animals. Therefore, this research work aimed to develop and validate a crown width prediction model for sustainable management of Gmelina arborea i...

Tree growth variables are important tree characteristic connected to forestry activities. This study focused on crown width as it reflects general tree health and provide habitat to diverse plants and animals. Therefore, this research work aimed to develop and validate a crown width prediction models for sustainable management of Gmelina arborea in...

Sustainable forest management requires information about both the current and future conditions of a growing stock.. Such information is vital for valuation, decision-making, plan harvest activities, predict forest growth, and thus, enhance forest productivity. This research assessed the suitability of five statistical models: Beta, Webull (3P), Ga...