Phytoplankton functional dynamics in a shallow polymictic tropical lake: the influence of emergent macrophytes

Gebrehiwot, Mesfin; Kifle, Demeke; Stiers, Iris; Triest, Ludwig

doi:10.1007/s10750-017-3161-z

Cited by 27 publications

(22 citation statements)

References 56 publications

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“…These lakes are best known for having the world's richest lacustrine fish fauna and constitute the family of Cichlidae, which provide the supreme example of geographically circumscribed vertebrate Evolution and a unique comparative series of natural laboratories for evolutionary studies (Weyl et al 2010;Gess and Whitfield 2020). Despite the ecological importance of these lakes, studies focusing on zooplankton species distribution and how they are affected by seasonal dynamics of Chl-a and physical-chemical variables are scarce (Gebrehiwot et al 2017;Ma et al 2019). Several ecological factors such as water temperatures (WT), electrical conductivity (EC), nutrient concentration, calcium ions, magnesium ions, and hydrological pattern have been considered as critical factors responsible for shaping the biological composition and distribution of zooplankton in inland lakes (Ha et al 1998;Teubner 2003;Afonina and Tashlykova 2018;Hamid et al 2020).…”

Section: Introductionmentioning

confidence: 99%

Spatial distribution of zooplankton in response to ecological dynamics in tropical shallow lake: insight from Lake Malombe, Malawi

Makwinja

Mengistou

Kaunda

et al. 2021

Journal of Freshwater Ecology

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This study assessed zooplankton density and Chl-a amount to understand their spatial and seasonal variation in Lake Malombe. Samples were collected for analysis during the hot, dry season (HDS) and cool, dry, windy season (CDWS). The zooplankton identified were Tropodiaptomus cunningtoni (TC), Mesocyclops aequatorialis aequatorialis (MAA), Thermocyclops neglectus (TN), Bosmina longirostris (BL), Diaphanosoma spp. (DS), and Nauplii. These zooplankton groups belong to copepods, Cyclopidae, Cladocera, Ctenopod, and Rotifers. Chl-a exhibited a substantial seasonal variation, with the highest concentration observed in HDS and lowest in CDWS. Zooplankton such as T. cunningtoni, M. aeq. aequatorialis, T. neglectus, B. longirostris, Diaphanosoma spp, Nauplii, and Rotifer increased during the HDS. The water temperatures (WT), pH, Dissolved Oxygen (DO), and Chl-a positively correlated with all zooplankton densities. Sodium (Na þ ) and Potassium (K þ ) ions positively correlated with TC, MAA, DS, Nauplii, and Rotifers. Chloride ion (Cl -) positively correlated with DS, Rotifers, while Carbonate ion (CO 3 2-) positively correlated with TC. Bicarbonate (HCO 3 -) correlated positively with DS and Rotifers, while TDS correlated negatively with BL, Nauplii, and Rotifers. Nitrite affected zooplankton density negatively, while SRP had a positive effect. The study revealed that physical-chemical variables, some significant ions, and Chl-a are the most critical factors influencing the spatial and seasonal variation of zooplankton density in the lake. These findings demonstrate the interaction between physical-chemical variables, Chl-a, and zooplankton and highlight the significance of ecological understanding of the complex dynamics of the food web system in shallow tropical lakes such as Lake Malombe-under the changing climate.

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Section: Introductionmentioning

confidence: 99%

Spatial distribution of zooplankton in response to ecological dynamics in tropical shallow lake: insight from Lake Malombe, Malawi

Makwinja

Mengistou

Kaunda

et al. 2021

Journal of Freshwater Ecology

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“…In addition, macrophytes are also considered to be a core factor controlling phytoplankton. Studies have shown that macrophytes could influence phytoplankton dynamics by competing for nutrients (Pinto and O'Farrell 2014), harboring zooplankton, (Gebrehiwot et al 2017) and though allelopathy (Sabine and Elisabeth 2008). Scheffer and Carpenter (2003) have suggested that a multi-stable state is possible in shallow lake ecosystems.…”

Section: Introductionmentioning

confidence: 99%

“…Judit et al (2006) applied phytoplankton functional groups to the evaluation of water environmental quality and proposed the Q index that was based on the influence factors of functional groups in different water types, determined the values (between 0 and 5) that each functional group represents, and then calculated the total value of all the coexisting functional groups by weighted average. This method of evaluating water quality based on the Q index has been widely used, both in the temperate regions (Tian et al 2012), in which it was originally developed, and the subtropical (Santana et al 2017) and tropical (Gebrehiwot et al 2017;Rodrigues et al 2018) regions.…”

Section: Introductionmentioning

confidence: 99%

Phytoplankton functional groups succession and their driving factors in a shallow subtropical lake

Nan

Yang

et al. 2020

Journal of Freshwater Ecology

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The succession of phytoplankton functional groups and environmental variables were investigated from January to December 2018 in a shallow subtropical lake, East Taihu Lake, located in the Yangtze Delta of China. Altogether, 125 genera, 21 functional groups, and 7 predominant functional groups, D (Fragilaria acus, Synedra acus, and Nitzschia spp.), P (Fragilaria capucina and Aulacoseira granulate), MP (Oscillatoria spp., Diploneis ovalis, Gomphonema angustatum, Nitzschia palea, and Achnanthes spp.), Y (Cryptomonas ovata, Cryptomonas erosa, Chroomonas acuta, and Ceratium spp.), H2 (Anabaena spp.), M (Microcystis spp.), and W1 (Euglenoids spp.), were identified, and these predominant functional groups exhibited strong seasonal variations. Groups Y and W1 dominated from winter to spring when temperature and light were low. The external pollution load and high levels of nutrients entered the lake in June, allowing group M to become dominant, even ultimately triggering Microcystis blooming. Meanwhile, the abundance of aquatic plants in summer, combined with high levels of transparency and light availability, resulted in Group M being replaced by Group P and then Groups M and H2 rebounding in autumn. The redundancy analysis revealed that water temperature, nutrients, and light availability (Z eu /Z mix ) were the key factors promoting phytoplankton succession. The ecological assessment results demonstrated a good ecological status based on the assemblage index (Q average ¼ 3.0). This work emphasizes the fact that temperature, nutrients, and light were the driving factors for phytoplankton dynamics, and aquatic plants and external pollution were important external factors for the succession of phytoplankton.

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“…Temporal variation in phytoplankton assemblages is typically related to changing physical, chemical, and biological variables (Calijuri et al, 2002;Santana et al, 2017). Although lack of any essential resource could potentially restrict algal growth, variation of phytoplankton assemblages is predominantly driven by water temperature, nutrients (in particular N and P), and light availability (Gebrehiwot et al, 2017;Reynolds, 2006).…”

Section: Introductionmentioning

confidence: 99%

“…In its current form, the PFG approach uses more than 40 categories according to the sensitivities and tolerances of representative taxa, identified by alphanumeric codes (Padisa´k et al, 2009;Salmaso et al, 2014). In the past decade, the PFG approach has provided important information for understanding the dynamics of phytoplankton communities and has been successfully applied in temperate (Huszar et al, 2003;Leita˜o et al, 2003;Tian et al, 2015), subtropical (Becker et al, 2009;Souza et al, 2016;Xiao et al, 2011), and tropical (Costa et al, 2009;Gebrehiwot et al, 2017;Rodrigues et al, 2017) regions.…”

Section: Introductionmentioning

confidence: 99%

Phytoplankton Functional Groups Variation and Influencing Factors in a Shallow Temperate Lake

Tian

Hao

Pei

et al. 2018

Water Environment Research

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The present study was carried out in Luoma Lake, a shallow lake in temperate eastern China. Based on a two-year study, the dynamics of phytoplankton functional groups and influencing factors were analyzed. A total of 178 taxa were identified and sorted into 20 codons, according to the phytoplankton functional group classification. In order to find the environmental factors driving phytoplankton variations, fifteen groups were analyzed in detail using redundancy analysis. Groups P (Fragilaria crotonensis), X2 (Chlamydomonas globosa, C. microsphaera and Chroomonas acuta), and MP (Navicula rotaeana) were dominant during low temperature periods, whereas groups X2, S1 (Pseudanabaena limnetica), and W1 (Euglena sp.) were dominant during high temperature periods. Water temperature, total phosphorus, and ammonium were the significant driving factors explaining phytoplankton succession. Furthermore, total phosphorus and ammonium could be broadly used in risk management for potential algal blooms in Luoma Lake.

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Phytoplankton functional dynamics in a shallow polymictic tropical lake: the influence of emergent macrophytes

Cited by 27 publications

References 56 publications

Spatial distribution of zooplankton in response to ecological dynamics in tropical shallow lake: insight from Lake Malombe, Malawi

Spatial distribution of zooplankton in response to ecological dynamics in tropical shallow lake: insight from Lake Malombe, Malawi

Phytoplankton functional groups succession and their driving factors in a shallow subtropical lake

Phytoplankton Functional Groups Variation and Influencing Factors in a Shallow Temperate Lake

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