Tradescantia-Based Test Systems Can Be Used for the Evaluation of the Toxic Potential of Harmful Algal Blooms

Khosrovyan, Alla; Avalyan, R.E.; Atoyants, Anahit; Aghajanyan, Evelina; Համբարյան, Լ. Ռ.; Aroutiounian, Rouben; Gabrielyan, Bardukh

doi:10.3390/w15132500

Cited by 6 publications

(1 citation statement)

References 64 publications

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“…Since the morphology of Lake Sevan was established in the Pleistocene and Holocene [10], the lake and its endemic species are relatively young. However, human intervention into natural processes of the lake during the 20th century led to the degradation of its ecosystem and increased the vulnerability of native species [11,12]. According to the most recent estimation, Sevan trout are a critically endangered species (corresponds to International Union for Conservation of Nature (IUCN) category CR A2cd) [13].…”

Section: Introductionmentioning

confidence: 99%

Experimental Validation of Suitability of a River for Natural Reproduction of Trout of Lake Sevan Using Egg Incubation

Asatryan,

Vardanyan,

Barseghyan

et al. 2023

Water

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The endangered endemic species Sevan trout (Salmo ischchan Kessler, 1877) is under the threat of extinction and its survival is dependent on restocking by smolts. Thus, there is an urgent need to find an effective solution for restocking wild populations. After developing a theoretical methodology to reveal the most suitable parts of spawning rivers for natural reproduction, we consider the incubation of eggs in the wild as an appropriate method for the validation of the results of the theoretical assessment. Thus, we estimate the eggs’ survival differences in the wild and microcosm conditions which found significant differences in the sac-fry emergence rate in the zones assessed as “partly suitable” and “unsuitable”. Also, the results show that the emergence of eggs in the wild was less than in the microcosm conditions and the success rate of emergence of eyed eggs in the wild was higher than that of the green eggs. The results of one-way ANOVA, correlation and general linear mixed model analyses have in general proven the theoretical assessment but raise some questions on the completeness of using a set of abiotic criteria as the range of success during different experiments varies significantly.

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Section: Introductionmentioning

confidence: 99%

Experimental Validation of Suitability of a River for Natural Reproduction of Trout of Lake Sevan Using Egg Incubation

Asatryan,

Vardanyan,

Barseghyan

et al. 2023

Water

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Hydrophysio-Chemical Examination of Wastes Water Collected From Effurun Abattoir

Ugbune,

Aregbor

2024

FJS

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The purpose of this study is to examine the physiochemical qualities of abattoir wastewater. Weekly sampling of abattoir waste was done for four weeks. Standard laboratory procedures were followed in the analysis of sample wastewater, this is to ensure standard results. In this study, the pH of abattoir wastewater is in the range of alkaline region and also falls within the permissible levels of World Health Organization (WHO) for discharging wastewater. The dissolved oxygen (DO) is below the allowable limit of water while that of biochemical oxygen demand (BOD) is above the allowable limit set by WHO. The concentration of total nitrogen and phosphate in sample wastewater is above the standard limit set by WHO. The value of magnesium is quite higher when compared with the standard recommended by WHO. Therefore, the release of abattoir waste into the receiving water could lead to surface water pollution. The result of heavy metals in this research is below the permissible level of WHO, however the receiving water needs regular monitoring. Arising from the results obtained from this research, abattoir wastewater needs treatment before discharge into receiving water. It is also important for agencies of government to monitor surface water receiving abattoir effluents regularly.

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Satellite-Based Detection of Algal Blooms in Large Alpine Lake Sevan: Can Satellite Data Overcome the Unavoidable Limitations in Field Observations?

Asmaryan,

Khlghatyan,

Hovsepyan

et al. 2024

Remote Sensing

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Lake Sevan in Armenia is a unique, large, alpine lake given its surface, volume, and geographic location. The lake suffered from progressing eutrophication and, since 2018, massive cyanobacterial blooms repeatedly occurred. Although the lake is comparatively intensely monitored, the feasibility to reliably detect the algal bloom events appeared to be limited by the established in situ monitoring, mostly because algal bloom dynamics are far more dynamic than the realized monitoring frequency of monthly samplings. This mismatch of monitoring frequency and ecosystem dynamics is a notorious problem in lakes, where plankton dynamics often work at relatively short time scales. Satellite-based monitoring with higher overpass frequency, e.g., by Sentinel-3 OLCI with its daily overcasts, are expected to fill this gap. The goal of our study was therefore the establishment of a fast detection of algal blooms in Lake Sevan that operates at the time scale of days instead of months. We found that algal bloom detection in Lake Sevan failed, however, when it was only based on chlorophyll due to complications with optical water properties and atmospheric corrections. Instead, we obtained good results when true-color RGB images were analyzed or a specifically designed satellite-based HAB indicator was applied. These methods provide reliable and very fast bloom detection at a scale of days. At the same time, our results indicated that there are still considerable limitations for the use of remote sensing when it comes to a fully quantitative assessment of algal dynamics in Lake Sevan. The observations made so far indicate that algal blooms are a regular feature in Lake Sevan and occur almost always when water temperatures surpass approximately 20 °C. Our satellite-based method effectively allowed for bloom detection at short time scales and identified blooms over several years where classical sampling failed to do so, simply because of the unfortunate timing of sampling dates and blooming phases. The extension of classical in situ sampling by satellite-based methods is therefore a step towards a more reliable, faster, and more cost-effective detection of algal blooms in this valuable lake.

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Tradescantia-Based Test Systems Can Be Used for the Evaluation of the Toxic Potential of Harmful Algal Blooms

Cited by 6 publications

References 64 publications

Experimental Validation of Suitability of a River for Natural Reproduction of Trout of Lake Sevan Using Egg Incubation

Experimental Validation of Suitability of a River for Natural Reproduction of Trout of Lake Sevan Using Egg Incubation

Hydrophysio-Chemical Examination of Wastes Water Collected From Effurun Abattoir

Satellite-Based Detection of Algal Blooms in Large Alpine Lake Sevan: Can Satellite Data Overcome the Unavoidable Limitations in Field Observations?

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