埃塞俄比亚南部Demba Goffa地区传统农林业实践中树种多样性的管理和社会经济因素的影响

Gebremedhin Chameno Chalite
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引用次数: 1

摘要

本研究旨在提供木本物种多样性现状、当地利用知识和社会经济因素影响的基线数据。主要资料的收集采用了对主要举报人的访谈和讨论,以及结构化问卷的正式调查。树种丰富度评价是通过在三个社会阶层的不同农林业实践样地对树木进行清查来完成的。次要数据是从各种来源收集的。采用SPSS 13.0软件对数据进行分析。结果表明,大多数农民倾向于在宅基地、林地和边界周围种植树木。种植的树木类型是那些用于燃料木材,建筑和改善土壤的树木。富裕的农民比中等的农民拥有更多的树木。以边界人工林为最高,次之为林地。黄尾木、辣木、桉树和非洲石斛被广泛保存。树种丰富度与农场规模呈显著相关。较小的农场规模和有限的知识是制约树种管理的主要因素。因此,推广农林业技术必须考虑当地的使用知识、农民的财富状况、经验、资源和需求。关键词:约束,管理实践,社会经济因素,树种,财富状况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Management and the influence of socioeconomic factors on tree species diversity in traditional agroforestry practices in Demba Goffa District, South Ethiopia
The study was designed to provide a baseline data on status of woody species diversity, local knowledge in use and the influence of socioeconomic factors. Interview and discussion with key informants and formal survey with structured questionnaires were employed to collect primary data. The assessment of tree species richness was done by inventorying trees at the sampled plots of the different agroforestry practices within three social classes. Secondary data were collected from various sources. Data were analyzed by using SPSS 13.0 computer program. The result indicated that most farmers preferred planting trees around homesteads, woodlots and boundaries. The type of trees planted were those meant for fuel wood, construction and improvement of soil. Wealthy farmers maintained more number of trees than medium. The highest proportion of tree stems/ha was found in boundary plantation followed by woodlots. Terminalia brownii, Moringa stenopetala, Eucalyptus species and Cordia africana were widely maintained. Tree species richness was significantly correlated to farm size. Smaller farm size and limitation of knowledge were the major constraints to manage tree species. It can be concluded that local knowledge in use, wealth status, experiences, resources and needs of farmers were must to be considered to promote agroforestry technologies.  Key words: Constraint, management practices, socioeconomic factors, tree species, wealth status.
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