MATEC Web Conf.
Volume 252, 2019III International Conference of Computational Methods in Engineering Science (CMES’18)
|Number of page(s)||6|
|Section||Probability, Statistics Quality Control|
|Published online||14 January 2019|
Statistical methods in the context of environmental quality assessment: On the example of riparian beetles (Coleoptera, Carabidae)
Schmalhausen Institute of Zoology, Department Fauna and Systematics of Invertebrates NAS of Ukraine, 01030 Kyiv, Ukraine
2 Sumy Makarenko State Pedagogical University, Ukraine
3 Lublin University of Technology, Faculty of Environmental Engineering, Nadbystrzycka 40B, 20-618 Lublin, Poland
4 Lublin University of Technology, Faculty of Fundamentals of Technology, Nadbystrzycka 38, 20-618 Lublin, Poland
* Corresponding author: firstname.lastname@example.org
Modern environmental research involves the use of a broad range of statistical methods and programs. In any study, the results are obtained, as a rule, using statistical calculations, beginning with the calculation of reliability of data, and ending with complex statistical methods that allow estimating trends and predicting the processes that are evaluated. However, there is a problem associated with the correct interpretation of biological results by experts in statistics and, accordingly, the correctness of the choice and application of various statistical methods by biologists. In this paper, the evaluation of the results of studies of the effect of changes in the hydrological regime of the river caused by the functioning of the dam on the structure and spatial distribution of riparian carabids was considered. On the banks of intact rivers, the structure of the riparian assemblage naturally changes depending on the quality of coastal sediments. In order to assess the changes in the structure of the riparian assemblage, a number of statistical methods were employed. It was shown that not every method will adequately interpret the results of ecological studies. The differences in obtaining adequate interpretations while using various statistical methods were understood.
© The Authors, published by EDP Sciences, 2019
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.