影响塞拉利昂戈拉雨林保护区森林依赖性的因素

Philip Samura
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引用次数: 0

摘要

目的:由于对森林的高度依赖,人类正承受着巨大的压力。了解围绕森林依赖性的社会经济和人口激励因素对于减轻非洲森林退化的不利影响至关重要。因此,本研究通过四个研究问题探讨了促进塞拉利昂戈拉雨林保护区家庭对森林依赖的因素:(1) 森林收入相对于家庭总收入的贡献率是多少?(2)相对森林收入的主要来源是什么?(3) 性别、年龄和教育程度如何影响对森林的依赖?(4) 哪些因素导致对森林资源的依赖?研究方法:研究的目标人群是居住在凯内马区高拉酋长领地和通基亚酋长领地戈拉雨林保护区附近的农村家庭。研究采用便利抽样法。数据收集使用了调查问卷和访谈指南。研究使用描述性和推论性统计、S.P.S.S.二元逻辑回归对 101 份调查答复进行了分析,然后使用 Google Docs 上的专题分析对 7 次专家访谈和 3 次焦点小组讨论进行了探讨。本研究使用表格和数字进行数据展示。研究结果研究结果显示了四个主要发现。首先,森林收入占抽样社区家庭月收入的 46%。第二,森林收入的前五大来源分别是可可(74%)、Moringa 茶(9%)、木材(4%)、森林香料(4%)以及森林水果和蔬菜(3%)。第三,年龄、教育和性别影响对森林的依赖。第四,生计和直接消费是驱动对森林资源依赖的关键因素。因此,研究建议决策者和保护主义者在设计森林管理项目、战略或政策时考虑性别、年龄、教育和生计等社会经济因素。 对理论、实践和政策的独特贡献:本研究的成果为不断增长的森林依赖性文献做出了贡献。它为了解森林资源对家庭收入的重要贡献提供了重要见解。通过分析性别、年龄和教育程度等社会人口因素对森林资源的影响,可以加深对资源使用模式的理解。这项研究使森林保护工作者、政府决策者和学术界能够从知情的角度出发,考虑社会经济现实,制定项目、政策和战略,以促进塞拉利昂和其他发展中国家的可持续森林管理实践,减少毁林现象。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Factors Influencing Forest Dependency on the Gola Rainforest Reserve in Sierra Leone
Purpose: Forests are under intense human pressure due to a high level of dependency. Understanding socioeconomic and demographic incentives surrounding forest dependence is critical to mitigating the adverse impacts of forest degradation in Africa. Therefore, this study examines the factors promoting household forest dependence in Sierra Leone's Gola Rainforest Reserve through four research questions: (1) What is the contribution of forest income relative to total household income? (2) What are the key sources of relative forest income? (3) How do gender, age, and education influence forest dependency? (4) What factors drive dependence on forest resources? Methodology: The study's target population was rural households living near the Gola Rainforest Reserve in Gaura and Tunkia Chiefdoms in the Kenema district. The study used convenience sampling. A questionnaire and an interview guide were used for data collection. It drew from 101 survey responses analyzed using descriptive and inferential statistics, binary logistic regression on S.P.S.S., and then —seven expert interviews and three focus group discussions explored with thematic analysis on Google Docs. The study used tables and figures for data presentation. Findings: The study's results showed four key findings. First, forest income accounts for 46% of monthly household income in the sampled community. Second, the top five sources of forest income are cocoa (74%), moringa tea (9%), timber wood (4%), forest spices (4%), and forest fruit and vegetables (3%). Third, age, education, and gender influence forest dependence. Fourth, livelihood and direct consumption are the key factors driving dependence on forest resources. Therefore, the study recommended that decision-makers and conservationists consider socioeconomic factors like gender, age, education, and livelihood when designing forest management projects, strategies, or policies.   Unique Contribution to Theory, Practice, and Policy: The study’s outcome contributes to the growing literature on forest dependency. It provides key insights into the significant contribution of forest resources to household income. Analyzing the influence of socio-demographic factors, like gender, age, and education, on forest resources enhances the understanding of resource-use patterns. This study allows forest conservationists, government decision-makers, and academics to develop projects, policies, and strategies from an informed perspective, considering socio-economic realities, to promote sustainable forest management practices in Sierra Leone and other developing countries to mitigate deforestation.
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