津巴布韦Bindura矿业小镇植被多样性与组成

C. Katsvanga, E. Bobo, L. Jimu, T. Nyamugure, David Gwenzi, A. Kundhlande
{"title":"津巴布韦Bindura矿业小镇植被多样性与组成","authors":"C. Katsvanga, E. Bobo, L. Jimu, T. Nyamugure, David Gwenzi, A. Kundhlande","doi":"10.4314/DAI.V21I1-2.48163","DOIUrl":null,"url":null,"abstract":"An assessment of the urban forestry status in the mining town of Bindura was carried out to determine the diversity, composition and distribution of plant species. The town was stratified into residential, town centre and industrial areas. The residential area was sub-zoned into low, medium and high-density suburbs; the town centre into the Central Business District (CBD) and town fringes and the industrial area into light and heavy industrial sites. In each stratum, 3 sample plots of size 100x100 m quadrants were established randomly on a base map prior to ground truthing. In all strata, each sub-stratum was allocated a single quadrant except for the town fringes and the heavy industry, which had two each. Plants in each quadrant were totally enumerated. Data were analysed using SPSS 10, for Windows 1996 by subjecting plant population and vegetation diversity to one-way ANOVA. Results indicated preference for exotic fruit trees in the residential areas and exotic ornamentals in the town centre and industrial sites. The study concluded that there is a bias towards exotic species even though they are suitably planted in each stratum.","PeriodicalId":50577,"journal":{"name":"Discovery and Innovation","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2009-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Vegetation Diversity and Composition of Bindura Mining Town in Zimbabwe\",\"authors\":\"C. Katsvanga, E. Bobo, L. Jimu, T. Nyamugure, David Gwenzi, A. Kundhlande\",\"doi\":\"10.4314/DAI.V21I1-2.48163\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An assessment of the urban forestry status in the mining town of Bindura was carried out to determine the diversity, composition and distribution of plant species. The town was stratified into residential, town centre and industrial areas. The residential area was sub-zoned into low, medium and high-density suburbs; the town centre into the Central Business District (CBD) and town fringes and the industrial area into light and heavy industrial sites. In each stratum, 3 sample plots of size 100x100 m quadrants were established randomly on a base map prior to ground truthing. In all strata, each sub-stratum was allocated a single quadrant except for the town fringes and the heavy industry, which had two each. Plants in each quadrant were totally enumerated. Data were analysed using SPSS 10, for Windows 1996 by subjecting plant population and vegetation diversity to one-way ANOVA. Results indicated preference for exotic fruit trees in the residential areas and exotic ornamentals in the town centre and industrial sites. The study concluded that there is a bias towards exotic species even though they are suitably planted in each stratum.\",\"PeriodicalId\":50577,\"journal\":{\"name\":\"Discovery and Innovation\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-11-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Discovery and Innovation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4314/DAI.V21I1-2.48163\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Discovery and Innovation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4314/DAI.V21I1-2.48163","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

对采矿小镇Bindura的城市林业状况进行了评估,以确定植物物种的多样性、组成和分布。这个城镇被划分为住宅区、市中心和工业区。居住区被划分为低、中、高密度郊区;城镇中心变成了中央商务区(CBD),城镇边缘和工业区变成了轻工业和重工业基地。在每个地层中,在基础地图上随机建立3个大小为100 × 100 m象限的样地,然后进行地面真相调查。在所有阶层中,除了城镇边缘和重工业各有两个象限外,每个下层都被分配了一个象限。每个象限的植物都被完全列举。采用spss10 (Windows 1996)对数据进行单因素方差分析。结果表明,居民小区偏爱外来果树,城镇中心和工业用地偏爱外来观赏植物。研究得出的结论是,即使在每个地层中都适当地种植外来物种,也存在对外来物种的偏见。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Vegetation Diversity and Composition of Bindura Mining Town in Zimbabwe
An assessment of the urban forestry status in the mining town of Bindura was carried out to determine the diversity, composition and distribution of plant species. The town was stratified into residential, town centre and industrial areas. The residential area was sub-zoned into low, medium and high-density suburbs; the town centre into the Central Business District (CBD) and town fringes and the industrial area into light and heavy industrial sites. In each stratum, 3 sample plots of size 100x100 m quadrants were established randomly on a base map prior to ground truthing. In all strata, each sub-stratum was allocated a single quadrant except for the town fringes and the heavy industry, which had two each. Plants in each quadrant were totally enumerated. Data were analysed using SPSS 10, for Windows 1996 by subjecting plant population and vegetation diversity to one-way ANOVA. Results indicated preference for exotic fruit trees in the residential areas and exotic ornamentals in the town centre and industrial sites. The study concluded that there is a bias towards exotic species even though they are suitably planted in each stratum.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信