ABSTRACT Plantation forests provide numerous benefits to local communities that regularly interact with them. This study aimed at examining the determinant factors predicting the dependencies of local communities on plantation forests and their levels of participation on management activities in Basona Worena District, Ethiopia. To collect data, a survey questionnaire was developed by considering demographic, socio-economic, bio-physical, and institutional factors. The questionnaire was administered to a total of 92 randomly selected households. Descriptive statistics and multiple linear regression models were applied to analyze and interpret the data. The results suggested that the most preferred tree species planted by the local farmers included Eucalyptus, Vachellia abyssinica, and Sesbania sesban. Local communities mainly plant and grow plantation forests for fuelwood, construction materials, source of fodder, and income generation. The multiple linear regression models revealed that several independent variables derived from demographic (i.e., sex, age, and family size), socio-economic (i.e., level of education, annual income, livestock ownership, want to keep more livestock than they have at present, length of residence in the area, have the plan to stay in the area in the future, and have enough labor to manage the tree seedlings planted in their landholdings), bio-physical (i.e., distance between the nearby access road and the land of the respondents where they planted and grew trees), and institutional (i.e., have planted trees in their landholdings, get incentives to plant and grow trees in their landholdings, and have sufficient market to sell their plantation forest products obtained from their landholdings) factors significantly affected and predicted the two groups of the dependent variables, i.e., ‘the dependencies of local communities on plantation forests’ (49% variance explained) and ‘their levels of participation on management activities’ (53% variance explained). The study highlights existing concerns about planting, managing, developing, and sustainably utilizing plantation forests, which may in turn assist policy- and decision-makers, land use planners, environmental analysts, forest conservation and management experts to consider demographic, socio-economic, bio-physical, and institutional factors that affect the dependencies of local communities on plantation forests and their levels of participation on management activities.

中文翻译：

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预测当地社区对人工林的依赖性及其对埃塞俄比亚巴索纳沃雷纳区管理活动的参与程度的决定因素

摘要人工林为经常与他们互动的当地社区提供了许多好处。本研究旨在检验预测当地社区对人工林的依赖程度及其对埃塞俄比亚巴索纳沃雷纳区管理活动的参与程度的决定因素。为了收集数据，通过考虑人口、社会经济、生物物理和制度因素制定了调查问卷。问卷共对随机选择的 92 个家庭进行。应用描述性统计和多元线性回归模型来分析和解释数据。结果表明，当地农民最喜欢种植的树种包括桉树、白蜡树和田菁。当地社区主要种植和种植人工林用于薪材、建筑材料、饲料来源和创收。多元线性回归模型显示，来自人口统计（即性别、年龄和家庭规模）、社会经济（即教育水平、年收入、牲畜所有权）的几个独立变量想要饲养的牲畜比他们在目前，在该地区居住的时间长短，未来有计划留在该地区，并且有足够的劳动力来管理种植在其土地上的树苗），生物物理（即附近通路与该地区之间的距离）受访者种植和种植树木的土地）和机构（即，在他们的土地上种植了树木，获得了在他们的土地上种植和种植树木的奖励，并有足够的市场来销售从他们的土地上获得的人工林产品）因素显着影响和预测了两组因变量，即“当地社区对人工林的依赖”（解释了 49% 的方差）和“他们的水平参与管理活动的比例”（解释了 53% 的差异）。该研究强调了对人工林的种植、管理、开发和可持续利用的现有关注，这反过来可能有助于政策制定者和决策者、土地利用规划者、环境分析师、森林保护和管理专家考虑人口、社会经济、影响当地社区对人工林的依赖及其参与管理活动水平的生物物理和制度因素。