Light-limited population dynamics of phytoplankton: modeling light and depth effects

Bhutiani, R.; Khanna, D. R.; Chandra, Kumar S.

doi:10.1007/s10669-008-9184-2

Cited by 7 publications

(5 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Similar trend was observed in case of alkalinity, where maximum values were reported during winter months when planktonic growth was maximum and the minima in the river were during August when the streams carry floods. Similar observations were observed by Kumar & Bhagat, 1978, while studying on ecology of two trout streams in Kashmir, Joshi et al (1993) in river Bhagirthi, Agarwal and Thapliyal (2005) in Bhilangana river, in Suswa River, Khanna and Bhutiani (2005) in River Ganga, Bhutiani et al (2009) and Khanna et al (2009) conclude that maximum fauna density in winter and minima in monsoon season. Thus in the present study water temperature, dissolved oxygen, and alkalinity appears to be prime factors in determining the total plankton density and has a direct influence on the planktonic…”

Section: Resultssupporting

confidence: 69%

Seasonal variations in physico-chemical parameters of River Beas, Himachal Pradesh with special reference to planktonic population

Kumar¹,

Khanna

Bhutiani

2015

Env. Cons. Jr.

Self Cite

View full text Add to dashboard Cite

The present communication highlights the seasonal abundance and fluctuations trends of planktonic population of River Beas in relation to its physico-chemical parameters. Plankton plays an important role for maintaining the productivity of the water body. Plankton refers to microscopic aquatic plant having little or no resistant to water current and living free floating and suspended in open or pelagic water. Present investigation revealed the presence of Bacillariophyceae, Chlorophyceae, Rodophyceae and Cyanophyceae among phytoplankton groups and Copepods followed by Rotifers, Protozoans, and Cladocerans among Zooplankton. A total of 26 phytoplankton genera were encountered with most dominant being Closteridium, Schroederia, Ulothrix, Closteriopsis, Gomphonema and Batrachospermum. Maximum population of phytoplankton was observed during winter season where as minimum was observed in rainy season.

show abstract

Section: Resultssupporting

confidence: 69%

Seasonal variations in physico-chemical parameters of River Beas, Himachal Pradesh with special reference to planktonic population

Kumar¹,

Khanna

Bhutiani

2015

Env. Cons. Jr.

Self Cite

View full text Add to dashboard Cite

show abstract

“…Strong diatom development has already been observed in high‐altitude lakes in summer, when thermal stability is higher (Tolotti et al, 2007). It appears that the diatoms in our study were more competitive than the other phytoplankton genera during the LSP, despite the theoretically successful mixotrophic strategy under limiting nutrients and warmer temperatures (Bhutiani et al, 2009).…”

Section: Discussionmentioning

confidence: 56%

Phytoplankton assemblage shifts with dissolved organic matter properties: A functional perspective for sentinel lakes

et al. 2022

View full text Add to dashboard Cite

1. Climate change is altering both dissolved organic matter (DOM) properties and phytoplankton dynamics in lakes. High-altitude lakes are good sentinels of global change. However, their value as sentinels depends on how well we understand their functioning. This study analysed physical, chemical and biological data during three pre-defined periods running from complete ice-cover right to the end of the ice-free season, in a high-altitude oligotrophic lake. A functional approach was used to assess how relationships between DOM and the planktonic community vary over time. 2. Phytoplankton functional change was found to occur with shifts in DOM. During the ice-influenced period, from February to the end of the thaw, the phytoplankton community was dominated by small autotrophs and mixotrophic flagellates and DOM from sediment and terrestrial origin dominated the DOM pool of the lake. Phytoplankton diversity and richness increased during the post-snowmelt overturn period, when terrestrial DOM dominated the DOM pool. Finally, large siliceous autotrophs, competitive under low nitrogen concentrations and high temperature, dominated almost exclusively during the late summer period (LSP).Increased phytoplankton biomass meant that phytoplankton-derived DOM was dominant during the LSP.3. These phenological changes in the phytoplankton community resulted in functional shifts at the base of the food web. Based on the relationships between the variables in the study, it can be deduced that the nature of the relationship between phytoplankton and bacteria progressively shifted from strong top-down control exerted by phytoplankton over bacteria towards predominantly bottomup control at the end of the ice-free season. 4. Synthesis. Using a field survey starting from complete ice-cover and lasting right to the end of the ice-free season in a sentinel lake, we show seasonal shifts in the link between DOM properties and plankton community traits. Differences in environmental conditions and DOM origin explained variation in phytoplankton community structure and function, pointing to seasonal shifts in microbial food K E Y W O R D S functional traits, global change, microbial interactions, mountain lakes, trophic interactions | 47

show abstract

“…Year is included to examine the existence of time trend in the variation of Chl-a even after other determinants are controlled. Though relatively less studied, some studies indicate that the growth of phytoplankton is affected by light (Zinabu, 2002;Ssebiyonga et al, 2013) and depth of the lake (Bhutiani et al, 2009;Carvalho et al, 2009;Nõges et al, 2010;Hamilton et al, 2010). However, light and depth were not included in the analysis because of insufficient data.…”

Section: Explanatory Variablesmentioning

confidence: 99%

Relationships between Chlorophyll-a, Phosphorus and Nitrogen as Fundamentals for Controlling Phytoplankton Biomass in Lakes

Magumba

Maruyama

Takagaki

et al. 2014

Environmental Control in Biology

View full text Add to dashboard Cite

It is valuable for the control of water quality in lakes to grasp the global functional relationship between phytoplankton biomass (Chlorophyll-a; Chl-a), total phosphorous (TP) and total nitrogen (TN) in lake ecosystems. This paper aims at developing a comprehensive model that explains the relationship between Chl-a, TP and TN in lakes under a wide range of environments. Three regression models, the conventional Ordinary Least Squares (OLS) model, random effect panel model and dynamic panel model are compared. Estimation based on water quality data from 396 lakes in 18 European countries reveals that OLS estimation gives comparable parameters to those of many earlier studies, in which both TP and TN are significant determinants of Chl-a. Application of the non-conventional estimation methods alters this parameter structure radically. Station-specific effects being controlled, TN/TP is not a significant factor. The inclusion of auto-regressive effects makes TN insignificant. These results suggest that the concentration of Chl-a could be controlled by reducing the concentration of TP, rather than TN, the effect of which might however be offset by the past concentration of Chl-a. These models were tested by applying them to simulate the relationship for 9 Japanese lakes to show the superior performance of the nonconventional dynamic model.

show abstract

Light-limited population dynamics of phytoplankton: modeling light and depth effects

Cited by 7 publications

References 33 publications

Seasonal variations in physico-chemical parameters of River Beas, Himachal Pradesh with special reference to planktonic population

Seasonal variations in physico-chemical parameters of River Beas, Himachal Pradesh with special reference to planktonic population

Phytoplankton assemblage shifts with dissolved organic matter properties: A functional perspective for sentinel lakes

Relationships between Chlorophyll-a, Phosphorus and Nitrogen as Fundamentals for Controlling Phytoplankton Biomass in Lakes

Contact Info

Product

Resources

About