Beta
374025

Bioindicators: A Promising Tool for Detecting and Evaluating Water Pollution

Article

Last updated: 01 Jan 2025

Subjects

-

Tags

-

Abstract

The aquatic environment has various living resources, making it unique among other environments and economically significant. The lack of guidance, environmental awareness, and health control has decreased water quality, impacting living organisms and humans along the food chain. This is due to the increasing number of pollutants, including physical, chemical, radioactive, and infectious microscopic biological substances, that infiltrate water resources, raising concerns about the aquatic environment. Traditional chemical and physical assays for pollution detection have some limitations, such as providing information only during sampling and requiring expensive analysis for sensitive detection of contaminants when present in very low concentrations. In contrast, biological communities (bioindicators) offer reliable and cost-effective tools for assessing toxic pollutants. Various bioindicators, such as plants, plankton, animals, and microorganisms, are considered vital indicators for detecting water pollution compared to their benefits and drawbacks. Using indicator species as ecological indicators is a reliable and cost-effective way to assess environmental changes and reflect the overall water quality by integrating the effects of various stressors over time. Therefore, bioindicators are considered a valuable model for predicting the presence and extent of pollution (acting as an early warning system) before the onset of pollutant effects and characterizing ecosystem health.

DOI

10.21608/ejabf.2024.374025

Keywords

Animal indicators, Aquatic pollution, Microbial indicators, Pollution detection, Plants indicators

Authors

First Name

Shaymaa Ahmed

Last Name

Gouda et al.

MiddleName

-

Affiliation

-

Email

-

City

-

Orcid

-

Volume

28

Article Issue

4

Related Issue

48991

Issue Date

2024-07-01

Receive Date

2024-08-15

Publish Date

2024-07-01

Page Start

1,209

Page End

1,235

Print ISSN

1110-6131

Online ISSN

2536-9814

Link

https://ejabf.journals.ekb.eg/article_374025.html

Detail API

https://ejabf.journals.ekb.eg/service?article_code=374025

Order

76

Type

Original Article

Type Code

103

Publication Type

Journal

Publication Title

Egyptian Journal of Aquatic Biology and Fisheries

Publication Link

https://ejabf.journals.ekb.eg/

MainTitle

Bioindicators: A Promising Tool for Detecting and Evaluating Water Pollution

Details

Type

Article

Created At

23 Dec 2024