Assessing the anthropogenic impact on Lake Shira from antibiotic resistance of heterotrophic bacteria by neural networks methods

被引：0
|
作者：
T. I. Lobova
Yu. P. Lankin
L. Yu. Popova
机构：
[1] Russian Academy of Sciences,Territory
[2] Russian Academy of Sciences,Oriented Informational Systems, Ltd. (Institute of Computational Modelling), Siberian Division
[3] Russian Academy of Sciences,Institute of Biophysics, Siberian Division
来源：
Microbiology | 2007年 / 76卷
关键词：
heterotrophic bacteria; antibiotic resistance; neural networks; ecological models;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
A general approach to assessing the anthropogenic impact on lake ecosystems is proposed and exemplified for the case of Lake Shira (Republic of Khakasia, Russia). The impact strength is estimated by applying neural network-based methods to samples of data on interdependent marking features of autochthonous and allochthonous bacteria isolated from the lake in 1997–2001. The proposed combination of analysis methods makes it possible to determine the state of an ecosystem from both small-and large-size samples of data having complex interrelations.
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页码：229 / 235
页数：6
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