TOMIYOSI BOLA

University of British Columbia, Department of Forest Resources Management, Graduate Student

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A graduate student at the Faculty of Forestry, University of British Columbia, Vancouver Canada and a lab member of the Forest Biometrics lab in the faculty. My research interests are in forest biometrics, inventory, modelling, stand growth and yield. I am currently working on the simulation of different partial cutting regimes for Mule Deer Winter Range habitat, timber production, fuel reduction and reduced wildfire risk in British Columbia. I am proficient in inventory data computation and analysis, confident team player with excellent communication, coordination and interpersonal relationship skills.
Supervisors: Eskelson Bianca, Ian Moss

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Papers by TOMIYOSI BOLA

Effect of Deforestation on Rural Household Income in Selected Forest Dependent Commuinities in Odeda Local Council Area of Ogun State, Nigeria

Asian Journal of Research in Agriculture and Forestry

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Crown Width Models forGmelina arborea Roxb. Stands at Obanla, Federal University of Technology, Akure, Nigeria

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Land Use/Land Cover Changes of Ago-Owu Forest Reserve, Osun State, Nigeria Using Remote Sensing Techniques

Open Journal of Forestry

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Dimensional stability and tensile strength of biopolymer composite reinforced with hardwood fiber at varying proportions

by TOMIYOSI BOLA and Kehinde Sesan Aina

TOMIYOSI SHADRACK BOLA , AMOS OLAJIDE OLUYEGE , KEHINDE SESAN AINA , 2020

This study was designed to produce bio-composites made from three different wood species and at ... more This study was designed to produce bio-composites made from three
different wood species and at three different mixing ratio of plastic to the wood on weight to weight basis. The main variables employed in
this study are wood species of Triplochiton scleroxylon, Terminalia superba and Gmelina arborea; at plastic: wood of 40:60, 50:50, and
60:40 respectively. The composite samples were made through compounding and extrusion process. The properties evaluated were
carried out in accordance with the American Standard Testing Methods of 570 and 790 to determine the dimensional stability and
strength properties of the composites. The values obtained for the wood species range from 0.59 g/cm3 to 0.72 g/cm3, 0.59 % to 0.71 %,
0.63% to 0.7 %and 1.84 MPa to 2.07 MPa for density, water absorption, thickness swelling, and tensile strength respectively.
Meanwhile, the values obtained from the mixing ratio range from 0.54 g/cm3
to 0.79 g/cm3
, 0.53% to 0.79%, 0.42% to 1.00%, and 1.58
MPa to 2.37 MPa for density, water absorption, thickness swelling, and tensile strength respectively. It was observed that mixing ratio
and wood species used in this study influenced the dimensional stability and strength properties of the WPCs. This study revealed that as
the wood-flour content increased to plastic, the dimensional properties, and tensile strength values increases.

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Crown Width Models for Gmelina arborea Roxb. Stands at Obanla, Federal University of Technology, Akure, Nigeria

by TOMIYOSI BOLA and Olugbadieye Tobi

Olugbadieye OG, Adesuyi FE, Daramola JO, Bola TS (2019). Crown Width Models for Gmelina arborea Roxb. Stands at Obanla, Federal University of Technology, Akure, Nigeria. International Journal of Forestry and Wood Science, 6(2): 062-066., 2019

Tree growth variables are important tree characteristic connected to forestry activities. This st... more 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 Federal University of Technology, Akure, Nigeria. Three linear and nonlinear models were fitted for the prediction of crown-width using diameter at breast height (Dbh), total tree height and tree Slenderness coefficient as the predictive variables. Performance of the models was ranked according to best fit using the Akaike information criterion (AIC) and adjusted coefficient of determination (Radj 2). The result showed that crown width was significant and shows strong correlation with other tree growth variables. The selected models showed high value of adjusted coefficient of determination. Although, it was revealed that multiple linear-binomial and polynomial model had the highest adjusted coefficient of determination (Radj 2 = 98%) but binomial model had the least Akaike information criterion (AIC=-637.46) which make it to be rank as the best model, while monomolecular non-linear model had the least adjusted coefficient of determination (Radj 2 = 93%) and largest Akaike information criterion (AIC=-359.12).

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Effect of Deforestation on Rural Household Income in Selected Forest Dependent Commuinities in Odeda Local Council Area of Ogun State, Nigeria

Effect of Deforestation on Rural Household Income in Selected Forest Dependent Commuinities in Odeda Local Council Area of Ogun State, Nigeria , 2019

This study was carried out to examine deforestation and rural household income with a view to ens... more This study was carried out to examine deforestation and rural household income with a view to ensuring conservation. A multistage sampling procedure with a 3-stage design was used for this study. Questionnaire was used to elicit information from 120 respondents in Odeda local council area of Ogun State, Nigeria. Data collected were analyzed using descriptive and inferential statistics. The Foster-Greer-Thorbecke indices of poverty metrics was used to determine the poverty line of households. Smith's saliency was used to determine the livelihood activities in selected communities. The result showed that respondents were gender sensitive, majority (58.3%) were male and (41.7%) female. On age, 41-50 (45.8%) years recorded the highest. The mean age was 50 years. Most of the respondents were married (68.6%) while majority, (52.5%) have low literacy level attaining only secondary education. Household size 1-5 recorded the highest, (76.7%) of the total population. Mean household size was 5. The study area was dominated by Yoruba (77.5%). Major occupation income recorded a mean of N17, 000 Naira while minor occupation income recorded a mean of N4308.37 Naira. Poverty line of N122, 700 Naira was Original Research Article Osoba et al.; AJRAF, 3(3): 1-10, 2019; Article no.AJRAF.49889 2 determined with poverty incidence (P 0) of (21.67%). The poverty gap (P 1), (5.09%) indicating that an average respondent requires N6, 245.43 Naira to reach the poverty line. The poverty severity (P 2) was (0.02) showing that the respondents were not poor because the value is far from 1. Socio economic factors promoting deforestation were identified among the respondents with marital status as the only significant variable (P<0.05) and a negatively coefficient value of-2.281. Conclusively, deforestation was identified with livelihood activities of the people such as hunting, farming and trading of forest products. Therefore, it is recommended that forestry extension programmes should be intensified in rural communities to minimize deforestation activities and promote eco-consciousness among the local people.

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