Distribution of macrophytes in relation to physico-chemical characters in the south western littoral zone of Lake Tana, Ethiopia

Kassa, Yezbie; Mengistu, Seyoum; Wondie, Ayalew; Tibebe, Dessie

doi:10.1016/j.aquabot.2020.103351

Cited by 9 publications

(2 citation statements)

References 16 publications

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“…However, a profound understanding of the effects of human disturbance on aquatic plant species richness and community composition is critical for the development of an effective management plan that aims to conserve and restore wetlands in the Lake Tana region. Despite this, the aquatic plants are the least studied and understood component of wetland biodiversity in the Lake Tana region, except for a few studies dealing with macrophyte species richness and abundance in relation to physicochemical characteristics in the southwestern littoral zone of the lake (Getnet et al, 2021 andKassa et al, 2021).…”

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confidence: 99%

The effect of human disturbance on the community composition and diversity of aquatic plants in the tropical wetlands of Lake Tana, Ethiopia

Kahsay

Stiers

Wondie

et al. 2022

Preprint

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The aquatic plants in wetlands have been threatened by increasing human disturbances in recent decades. The present study investigates to what extent human disturbance affects the community composition and richness of aquatic plants in 3 different wetland types in Lake Tana, Ethiopia. We selected twelve wetlands representing 3 different wetland types (four lacustrine, four river mouth, and four riverine papyrus wetlands) and collected data on aquatic plant species richness and community composition, major local environmental variables, and the degree of human disturbance at multiple plots along three transects in each wetland during the dry and wet season of 2018. The unique and shared contributions of human disturbance, local environmental variables, and wetland type on variations in community compositions of aquatic plants in wetlands were investigated using variation partitioning analyses. The Overlap and Decreasing Fill (NODF) metric was used to estimate the nestedness in aquatic plant communities. A total of 113 aquatic plant species, belonging to 38 families, were identified across all wetlands during the dry and wet season. Wetland types explained the greatest proportion of variation in community composition, followed by human disturbance and local environmental variables. The species richness was negatively correlated with the overall degree of human disturbance, while NODF was positively correlated. Irrespective of the degree of human disturbance, papyrus swamps had systematically the highest species richness and supported clearly different plant communities, therefore conservation efforts should focus on these habitats. In addition, measures should be taken to restore the highly disturbed and species-poor river mouth wetlands.

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confidence: 99%

The effect of human disturbance on the community composition and diversity of aquatic plants in the tropical wetlands of Lake Tana, Ethiopia

Kahsay

Stiers

Wondie

et al. 2022

Preprint

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“…In conclusion, ranking of the pollution status of wetlands of Lake Tana using different approaches in this study using multivariate statistics, Carlson TSI, and WQI model suggest that some wetlands did not t completely in the same category The current study on water quality variables of Lake Tana recommends that top priority should be given to regular water quality monitoring, in conjunction with biodiversity and sh health assessment. This study sites were characterized according to sixteen commonly recorded variables that have been used to assess Lake Tana's waters (Aragaw et al 2022;Kassa and Tibebe 2019;Wondie 2010;Zelalem and Prokin 2017). The results will be used in the proceeding chapters to relate the biological indicators and biomarkers to water quality.…”

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Physical and chemical water quality characteristics in six wetlands of Lake Tana, Ethiopia

Mazengia,

Kaiser,

Mengist

2024

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Physical and chemical water quality characteristics were studied in six of Lake Tana. The purpose of the study was to explore how different methods describe the “health” of the wetlands and how different approaches relate to each other. The physicochemical parameters were measured in-situ with portable multimeter and nutrients and chlorophyll a were determined by following the standard procedures outlined in the United States Environmental Protection Agency using UV/Visible photometer (Spectrophotometer). The trophic state index (TSI) of wetlands was determined using trophic state variable and Carlson model. The lake water quality index (WQI) was also evaluated using data from multiple water quality parameters into a mathematical equation to express the overall water quality at each study wetland and season. The water quality datasets were subjected to four multivariate statistical techniques, namely, univariate analysis of variance (univariate ANOVA), cluster analysis (CA), principal component analysis (PCA) and factor analysis (FA). Analysis of the physicochemical dataset using univariate analysis indicated a significant interaction between wetland and season (ANOVA, p < 0.05) for the mean value of dissolved oxygen, electrical conductivity, Secchi depth a.m., and p.m., salinity, nitrate, total ammonia, total nitrogen, total phosphorous, and Chlorophyll-a while water temperature, water depth, soluble reactive phosphorous were not affected (ANOVA, p > 0.05) by the interaction between wetland by season. Spatial diversity and site grouping based on water quality characteristics using CA, PCA and FA analysis grouped the 6-wetlands into four clusters based on the similarity of water quality characteristics. The four clusters displayed in the dendrogram were grouped into least polluted cluster 1 (WO and RA), slightly polluted cluster 2 (MRM). moderately polluted cluster 3 ( GRM and ZG ) and highly polluted cluster 1 (AV). There was a significant interaction between wetland and season (ANOVA, p < 0.05) for the mean value of total trophic state index (TOTTSI), total nitrogen trophic state index (TSITN), total phosphorous trophic state index (TSITP,), total chlorophyll-a trophic state index (TSIChla) ,and total Secchi depth trophic state index (TSISTD). However, there was no a significant interaction between wetland and season (ANOVA, p > 0.05) for the mean value of WQI. In conclusion, ranking of the pollution status of wetlands of Lake Tana using different approaches in this study using multivariate statistics, Carlson TSI, and WQI model suggest that some wetlands did not fit completely in the same category The current study on water quality variables of Lake Tana recommends that top priority should be given to regular water quality monitoring, in conjunction with biodiversity and fish health assessment.

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Macroinvertebrate assemblages along a gradient of physicochemical characteristics in four riverine wetlands, Upper Blue Nile basin, Northwestern Ethiopia

Assefa

Eneyew

Wondie

2023

Environ Monit Assess

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Distribution of macrophytes in relation to physico-chemical characters in the south western littoral zone of Lake Tana, Ethiopia

Cited by 9 publications

References 16 publications

The effect of human disturbance on the community composition and diversity of aquatic plants in the tropical wetlands of Lake Tana, Ethiopia

The effect of human disturbance on the community composition and diversity of aquatic plants in the tropical wetlands of Lake Tana, Ethiopia

Physical and chemical water quality characteristics in six wetlands of Lake Tana, Ethiopia

Macroinvertebrate assemblages along a gradient of physicochemical characteristics in four riverine wetlands, Upper Blue Nile basin, Northwestern Ethiopia

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