Impact of seasonal changes in zooplankton biodiversity in Ukkadam Lake, Coimbatore, Tamil Nadu, India, and potential future implications of climate change

Manickam, N.; Bhavan, P. Saravana; Santhanam, P.; Bhuvaneswari, R.; Thirunavukkarasu, Mahesh; Veeran, Srinivasan; Asaikkutti, Annamalai; Rajkumar, Gopalan; Udayasuriyan, R; Karthik, M.

doi:10.1186/s41936-018-0029-3

Cited by 33 publications

(13 citation statements)

References 26 publications

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“…Brachionus angularis, Filina longiseta and Lecane sp. are indicators of semi-polluted waters (62) . In the present study, Filina longiseta was the most abundant species with the highest abundance of 1194 individuals observed in summer.…”

Section: Resultsmentioning

confidence: 99%

A Study on Seasonal Variation in Zooplankton Abundance in Kadasgatti Minor Irrigation Tank of Bailhongal Taluk, Belagavi District, Karnataka State, INDIA.

Neelgund¹,

Kadadevaru²

2021

IJST

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Objectives: A study on seasonal variation in zooplankton community was undertaken to evaluate the present status of water quality at Kadasgatti minor irrigation tank (MIT) located in the northern transitional zone of Belagavi district. Methods and Statistical Analysis: Water samples were collected from January 2017 to December 2017. Physico-chemical parameters and qualitative and quantitative analysis of zooplankton were carried out. Pearson correlation was calculated using SPSS, IBM Version 21 software to find out interrelationships between water quality and zooplankton groups. Findings: A total of 52 species of zooplanktons were recorded during the study period with a total zooplankton abundance of 14327 individuals with a relative abundance of 35.42%. Rotifera was the dominant group with 27 species, followed by Cladocera, Copepoda and Ostracoda. The highest zooplankton abundance was observed in summer while minimum in post-monsoon season. Copepoda was highest abundant group during the entire study period with its maximum abundance during winter and gradually declined and reached to its minimum in post-monsoon. The presence of eutrophic indicator species like Brachionus calyciflorus, Brachionus angularis, Filina longiseta suggests eutrophication of the tank. Novelty: The study provides baseline data on the present status of the water body indicating that, anthropogenic activities, agricultural runoff are the main cause of eutrophication. Sustainable and holistic conservational strategies have to be adopted to protect the water body.

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Section: Resultsmentioning

confidence: 99%

A Study on Seasonal Variation in Zooplankton Abundance in Kadasgatti Minor Irrigation Tank of Bailhongal Taluk, Belagavi District, Karnataka State, INDIA.

Neelgund¹,

Kadadevaru²

2021

IJST

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“…Unlike the WT, the minimum and maximum DO was observed in July and October. The minimum DO observed in July could be likely due to the utilization DO and decomposition of organic matter and respiration of micro and macro-organisms (Manickam et al, 2018). Water transparency (SD) values varied temporally with the lowest value observed in September (27.6 ± 10.75 cm) and the highest in July (42.4 ± 7.90 cm).…”

Section: Physical-chemical Variablesmentioning

confidence: 97%

Bottom-up and top-down effects on phytoplankton functional groups in Hulun Lake, China

Zhao

Mwagona

et al. 2021

Ann. Limnol. - Int. J. Lim.

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The debates about the extent to which phytoplankton in freshwater ecosystems are regulated by top-down or bottom-up forces have been ongoing for decades. This study examines the effects of bottom-up and top-down factors on the phytoplankton functional groups in a eutrophic lake. Phytoplankton and zooplankton were sampled and physical-chemical variables measured from May 2019 to October 2019 in Lake Hulun, China. Approximately 43 phytoplankton species were observed and grouped into 23 functional groups. For the zooplankton, about 27 species were observed and classified into 8 functional groups. The study revealed that the bottom-up effects of physical-chemical variables on some phytoplankton functional groups was stronger than the top-down effects of zooplankton. Water temperature (WT), total phosphorus (TP), total nitrogen (TN), conductivity (Cond), water transparency (SD), and dissolved oxygen (DO) significant influence the biomass of the phytoplankton functional groups. The biomass of phytoplankton functional groups was influenced positively by nutrient availability likely because nutrients influence the growth and reproduction of phytoplankton in freshwater. WT and DO had a positive influence on biomass of phytoplankton functional groups. Conversely, phytoplankton biomass revealed a decreasing trend when SD and Cond significantly increased. This study showed that zooplankton functional groups were positively correlated with phytoplankton biomass implying that the top-down control of phytoplankton by the zooplankton in the lake is not strong enough to produce a negative effect. It is evident that the zooplankton functional groups in Lake Hulun are controlled more by bottom-up force than top-down.

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“…Five-year hourly load data from January 1, 2013 to December 31, 2017, have been used for training and two-year data from January 1, 2018 to December 31, 2019, have been used for testing purposes. Before implementing the proposed approach, a statistical study was made about the load demand of the city under different climatic conditions (Manickam et al, 2018). This study included hourly load demand in the city for the above said period.…”

Section: Implementation Of the Proposed Hybrid Approachmentioning

confidence: 99%

“…Unlike the other places in India, the statistical study shows that the temperature in Coimbatore city is moderate around the year. Even then, to identify the load curve deviations due to climatic change, it has been observed from the study that the average temperature of the city is 26°C (Manickam et al, 2018). Hence, the day is considered as a hot day if the temperature is greater than 26°C else it is considered a cold day.…”

Section: Implementation Of the Proposed Hybrid Approachmentioning

confidence: 99%

Modeling of a simplified hybrid algorithm for short-term load forecasting in a power system network

Mayilsamy

Akbarali

et al. 2021

COMPEL

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Purpose The purpose of this paper is to develop a hybrid algorithm, which is a blend of auto-regressive integral moving average (ARIMA) and multilayer perceptron (MLP) for addressing the non-linearity of the load time series. Design/methodology/approach Short-term load forecasting is a complex process as the nature of the load-time series data is highly nonlinear. So, only ARIMA-based load forecasting will not provide accurate results. Hence, ARIMA is combined with MLP, a deep learning approach that models the resultant data from ARIMA and processes them further for Modelling the non-linearity. Findings The proposed hybrid approach detects the residuals of the ARIMA, a linear statistical technique and models these residuals with MLP neural network. As the non-linearity of the load time series is approximated in this error modeling process, the proposed approach produces accurate forecasting results of the hourly loads. Originality/value The effectiveness of the proposed approach is tested in the laboratory with the real load data of a metropolitan city from South India. The performance of the proposed hybrid approach is compared with the conventional methods based on the metrics such as mean absolute percentage error and root mean square error. The comparative results show that the proposed prediction strategy outperforms the other hybrid methods in terms of accuracy.

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Impact of seasonal changes in zooplankton biodiversity in Ukkadam Lake, Coimbatore, Tamil Nadu, India, and potential future implications of climate change

Cited by 33 publications

References 26 publications

A Study on Seasonal Variation in Zooplankton Abundance in Kadasgatti Minor Irrigation Tank of Bailhongal Taluk, Belagavi District, Karnataka State, INDIA.

A Study on Seasonal Variation in Zooplankton Abundance in Kadasgatti Minor Irrigation Tank of Bailhongal Taluk, Belagavi District, Karnataka State, INDIA.

Bottom-up and top-down effects on phytoplankton functional groups in Hulun Lake, China

Modeling of a simplified hybrid algorithm for short-term load forecasting in a power system network

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