Species abundance distribution model for real periphyton samples

E. Hajnal, J. Lakner, C. Stenger-Kovács
{"title":"Species abundance distribution model for real periphyton samples","authors":"E. Hajnal, J. Lakner, C. Stenger-Kovács","doi":"10.1109/SAMI.2012.6208990","DOIUrl":null,"url":null,"abstract":"The recognition of abundance distribution of periphyton species is important both from theoretical ecological aspect, and from the view of the water monitoring practice. The periphyton species showed exponential distribution, but the rare species have an excess above the expected value. The distribution of the rare species can be hardly investigated by classical statistical methods, because the expected value and the standard deviation are in the same order of magnitude. The distribution function was modelled by computer. This software can generate a multitude by the resultant of two different types of distribution functions, and take random samples from it, according to the valid sampling standard. The artificial samples were compared to the real ones by different methods. The distribution of rare species was found to be uniform in the periphyton.","PeriodicalId":158731,"journal":{"name":"2012 IEEE 10th International Symposium on Applied Machine Intelligence and Informatics (SAMI)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE 10th International Symposium on Applied Machine Intelligence and Informatics (SAMI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SAMI.2012.6208990","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The recognition of abundance distribution of periphyton species is important both from theoretical ecological aspect, and from the view of the water monitoring practice. The periphyton species showed exponential distribution, but the rare species have an excess above the expected value. The distribution of the rare species can be hardly investigated by classical statistical methods, because the expected value and the standard deviation are in the same order of magnitude. The distribution function was modelled by computer. This software can generate a multitude by the resultant of two different types of distribution functions, and take random samples from it, according to the valid sampling standard. The artificial samples were compared to the real ones by different methods. The distribution of rare species was found to be uniform in the periphyton.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
真实附生植物样品的物种丰度分布模型
无论是从生态学的理论角度,还是从水体监测实践的角度,对水生植物物种丰度分布的认识都具有重要意义。附生植物种呈指数分布,而稀有种则超出期望值。由于期望值和标准差在同一个数量级上,很难用经典的统计方法来研究稀有物种的分布。用计算机模拟了分布函数。该软件可以由两种不同类型的分布函数的结果生成一个众,并根据有效的抽样标准从中随机抽取样本。通过不同的方法将人工样品与真实样品进行了比较。发现稀有种在周生层的分布较为均匀。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Preparing databases for network traffic monitoring Name service redundancy in robot technology middleware Classification of LHC beam loss spikes using Support Vector Machines Extraction of web discussion texts for opinion analysis MonAMI platform, trials and results
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1