南非当地知识系统的整合与农村家庭土地使用分配决策

IF 0.5 Q3 GEOGRAPHY
Muhammad Mubbin, L. Palamuleni, T. Ruhiiga, Syed Atif Bokhar
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引用次数: 0

摘要

以概念、解释、想法、观察和判断为基础的系统信息被称为知识。本研究表明,科学调查的重点正在向基于环境知识体系的评价方向发展。本研究旨在了解南非当地知识系统与农村家庭土地使用分配决策之间的相互作用。利用描述性统计分析了关于土地使用、资源获取、土地使用分配的决定因素和环境知识的决定。采用SPSS进行双尾Pearson相关、多元回归和ANOVA双方差分析。地形条件通过气候变化和土地利用控制对生态系统的分布产生强烈影响。与地形有关的土地利用分配显示出毫不费力和多方面的结果。一种更多方面的土地利用分配模式发生在剥离斜坡、丘陵和脚坡上,这些斜坡难以进入,被森林和灌木丛覆盖。这项研究发现土地利用模式和环境知识之间有很强的联系。从正式或非正式资源获得的环境知识对土地使用模式有重大影响,因此对可持续的土地使用规划和管理很有用。除此之外,社区如何为不同目的分配土地取决于许多社会经济因素,如土地所有权(公共或私人)、经济收益、教育、获得信贷和其他资源的途径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Integration of local knowledge systems and decision on land use allocation among rural households in South Africa
: The systematic information based on concepts, interpretations, ideas, observations, and judgments is known as knowledge. The present study portrayed that the focus of scientific investigations is growing towards assessments based upon environmental knowledge system. The study aimed to understand the interactions between local knowledge systems and decision on land use allocation among rural households in South Africa. Decisions about land-use, resource access, determinants of land-use allocation and environmental knowledge were analysed using descriptive statistics. SPSS was employed to calculate a two-tailed Pearson correlation, multiple regression and ANOVA two-way of variance. Landform condition has a strong impact on the distribution of ecosystems through variation of the climate and controlled land-use. The allocations of land-use as related to landforms reveal both effortless and multifaceted results. A more multifaceted model of land-use allocation occurs on stripping slopes, hills, and foot slopes, which are difficult to access and are covered by forests and scrubland. The study detected a strong linkage between land-use patterns and environmental knowledge. The environmental knowledge acquired either from a formal or an informal resource has significant bearings on land-use patterns, thus being useful for sustainable land-use planning and management. Besides that, how the community allocates land for different purposes is dependent on a multitude of socio-economic factors like land ownership (public or private), economic gains, education, access to credits and other resources.
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28.60%
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