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SUSTAINABLE DEVELOPMENT AND LEARNING. Framing the Issues (William Scott & Stephen Gough) KEY ISSUES IN SUSTAINABLE DEVELOPMENT AND LEARNING. A Critical Review (William Scott & Stephen Gough)

Croatian Sociological Society, Institute of Sociology at Faculty of Philosophy, University of Zagreb
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DrvnaIndustrija_04-2009.vp Andrew A. Erakhrumen1 Estimating the Extent of Influence of two Intrinsic Fuelwood Properties on Acceptance/Retention of some Woody Species in Agroforestry Practices in Southwest Nigeria Procjena veli~ine utjecaja dvaju bitnih svojstava ogrjevnog drva na primjenu nekih vrsta drva u agro{umarstvu jugozapadne Nigerije Original scientific paper · Izvorni znanstveni rad Received – prispjelo: 24. 9. 2009. Accepted – prihva}eno: 18. 11. 2009. UDK: 630*812.144; 630*831.1 ABSTRACT • Biofuel is presently still central to survival and sustenance of livelihoods in many parts of sub-Saha- ra African region. Demand for woodfuel in the form of firewood and charcoal is continuously increasing in this re- gion, and it is therefore necessary to devise and sustain feasible production methods bearing in mind the influence of native intelligence, indigenous/traditional knowledge and/or users’ perspectives on their success. In line with this, a survey was carried out by administering questionnaire to 240 respondents in 8 rural communities of Akinyele and Ido Local Government Areas of Oyo State, Nigeria, where the predominant type of agroforestry system practi- ced is that of scattered trees in croplands, to elicit information on wood species used as fuelwood and preferred by the respondents for incorporation into or retention in most agroforestry plots, out of which 179 (i.e. 75% of the total number of questionnaires administered) were successfully retrieved for statistical analyses. Twelve woody species were selected on the basis of respondents’ preference and prioritization. The mean specific gravity (SG) and net ca- lorific values (NCV) of the species were found to range between 0.42-0.84 g · cm-3 and 14.65-21.88 MJkg-1 respecti- vely. The linear regression equation developed predicting cumulative numerical values (CNV) attached to each ranking position indicating respondents’ preference using SG and NCV together as predictors gave a coefficient of determination (R2) of 77.

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