Diversity of Zooplankton in Seagrass Ecosystem of  Mandapam Coast in Gulf of Mannar

Sharma, Deepika; Srinivasan, A.; Padmavathy, P.; Jawahar, P.

doi:10.20546/ijcmas.2019.807.244

Cited by 8 publications

(10 citation statements)

References 6 publications

(9 reference statements)

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“…According to Deepika et al (2019), the density of zooplankton found in Indian seagrass meadows (89,300 to 935,300 individuals/m 3 ) was much higher than that found in the current study. Compared to the current study, Melo et al (2010) discovered significantly lower zooplankton abundance (4,759 to 7,113 individuals/m 3 ) in the southwestern Atlantic, and Azmi et al (2016) found zooplankton abundance (3,030±855.6 individuals/m 3 ) at Merambong Shoal Seagrass Area, which is also lower than densities recorded in the present study.…”

Section: Discussioncontrasting

confidence: 87%

Examining the Diversity and Abundance of Zooplankton across Different Gateways in the South-western Estuary of Bangladesh

2024

JJBS

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Section: Discussioncontrasting

confidence: 87%

Examining the Diversity and Abundance of Zooplankton across Different Gateways in the South-western Estuary of Bangladesh

2024

JJBS

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“…Mandapam coast is considered one of India’s rich biodiversity zones as it is located within the Gulf of Mannar Biosphere ( Gopakumar, Sulochanan & Venkatesan, 2009 ). Many studies on plankton ( Deepika et al, 2019 ), seaweeds ( Mantri, Kavale & Kazi, 2020 ), coral ( Ramesh et al, 2020 ), etc ., have been conducted in this immensely diverse area. The coast of Mandapam has a relatively shallow depth (0.5–3.0 m) ( Edward et al, 2008 ), enabling greater light penetration and, thus, greater productivity.…”

Section: Discussionmentioning

confidence: 99%

Evaluating the influence of environmental variables on the length-weight relationship and prediction modelling in flathead grey mullet, Mugil cephalus Linnaeus, 1758

Chandran

Singh

et al. 2023

PeerJ

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Fish stocks that are grown under diverse environmental conditions have different biometric relationships and growth patterns. The biometric length-weight relationship (LWR) is an essential fishery assessment tool, as fish growth is continuous and depends on genetic and environmental factors. The present study attempts to understand the LWR of the flathead grey mullet, Mugil cephalus Linnaeus, 1758, from different locations. The study area encompassed its distribution in the wild across freshwater location (one), coastal habitats (eight locations), and estuaries (six locations) in India to determine the relationship between various environmental parameters. Specimens (n = 476) of M. cephalus were collected from commercial catches and the length and weight of individual specimens were recorded. Monthly data from the study locations were extracted for nine environmental variables from the datasets downloaded from the Physical Oceanography Distributed Active Archive Center (PO.DAAC) and the Copernicus Marine Environment Monitoring Service (CMEMS) over 16 years (2002 to 2017) on the Geographical Information System platform. The parameters of the LWR, intercept ‘a’ and slope or regression coefficient ‘b’, varied from 0.005321 to 0.22182 and 2.235 to 3.173, respectively. The condition factor ranged from 0.92 to 1.41. The partial least squares (PLS) score scatter plot matrix indicated differences in the environmental variables between the locations. PLS analysis of the regression coefficient and environment parameters revealed that certain environment variables viz., sea surface temperature, salinity, dissolved oxygen, nitrate, and phosphate, played a positive role. However, chlorophyll, pH, silicate, and iron played a negative role in influencing weight growth across various locations. The results revealed that the M. cephalus specimens from three locations, Mandapam, Karwar, and Ratnagiri, possessed significantly higher fitness to their environment than those from the other six locations. The PLS model can be used to predict weight growth under the various environmental conditions of different ecosystems. The three identified locations are useful sites for the mariculture of this species considering their growth performance, the environmental variables, and their interactions. The results of this study will improve the management and conservation of exploited stocks in regions affected by climate change. Our results will also aid in making environment clearance decisions for coastal development projects and will improve the efficiency of mariculture systems.

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“…Nitrogens and phosphorous are the major limiting factors for aquatic organisms (Deepika et al, 2019;Dorche et al, 2018). In this study, NO3-N, NO2-N, NH4-N and SRP, which are sources of nitrogen and phosphorus, were generally found at low concentrations in KDL (Table 1).…”

Section: Results and Discussion Physico-chemical Properties Of Kdlmentioning

confidence: 53%

Temporal and spatial variations of zooplankton community and biochemical response due to water quality in a Deep Dam Lake (Turkey)

Turhan

Gökçe

2022

International Journal of Pure and Applied Sciences

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In this study, the zooplankton community and its relationship with environmental factors were investigated in the Karakaya Dam Lake (KDL). The physico-chemical characterization showed that there were obvious changes in the water quality and zooplankton population structure, which was mainly due to the organic matter source. Reactive phosphate (SRP) and nitrogen values were found in low concentrations. A total of 22 zooplankton taxa were determined, including 14 taxa of Rotifera, followed by 6 taxa of Cladocera and 2 taxa of Copepoda. The most abundant species were Synchaeta oblonga (Rotifera), Bosminia longirostris (Cladocera), and Cyclops scutifer (Copepoda). The abundance of zooplankton was highest in spring. Canonical correspondence analysis (CCA) was used to examine relationships between measured environmental variables and zooplankton composition. According to CCA, dissolved oxygen, and SRP values, there was a significant relation to zooplankton abundant with these factors. The triplots diagram demonstrated variations of the structure of zooplankton population composition which can be explained by the environmental variables. Oxidative stress (catalase, glutathione S-transferase, glutathione reductase) and neurotoxicity (acetyl cholinesterase) biomarkers were analyzed in copepod species. Glutathione reductase and acetyl cholinesterase activities were significantly inhibited in the summer. Catalase activity was induced in the spring. The seasonal changes of biomarker indicated that the KDL may be at risk of pollution that originated from agricultural and industrial activities.

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Diversity of Zooplankton in Seagrass Ecosystem of Mandapam Coast in Gulf of Mannar

Cited by 8 publications

References 6 publications

Examining the Diversity and Abundance of Zooplankton across Different Gateways in the South-western Estuary of Bangladesh

Examining the Diversity and Abundance of Zooplankton across Different Gateways in the South-western Estuary of Bangladesh

Evaluating the influence of environmental variables on the length-weight relationship and prediction modelling in flathead grey mullet, Mugil cephalus Linnaeus, 1758

Temporal and spatial variations of zooplankton community and biochemical response due to water quality in a Deep Dam Lake (Turkey)

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