Current biodiversity of Mandapam group of Islands in Gulf of Mannar Marine Biosphere Reserve, Southeast coast of Tamil Nadu, India

Ramesh, Ch.; Sadhukhan, Koushik; Shunmugaraj, T.; Murthy, M.V. Ramana

doi:10.1016/j.rsma.2020.101429

Cited by 5 publications

(3 citation statements)

References 22 publications

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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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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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“…Algal overgrowth is identified as a threat to Indian corals generally (MoEF, 2014), with exotic seaweed cultivation considered a particular concern (Patterson et al, 2015). Indeed, whilst coral overgrowth by green algae is reported along the northern (Keelakarai) coastline in the Gulf of Mannar and is generally attributed to nutrient inputs (Rajasuriya et al, 2000), with increased macroalgal coverage subsequently linked to reductions in reef-associated faunal biodiversity (Ramesh et al, 2020), the cause for such changes is not always clear. Effluent discharge from several major industries, including copper smelting, chemical manufacture, and salt panning, contribute to broader pollution impacts in this region likely obscuring impacts from nutrient inputs alone (Samuel et al, 2012;Anand et al, 2015).…”

Section: Reported Impacts Of Nutrient Pollutionmentioning

confidence: 99%

Anthropogenic nitrogen pollution threats and challenges to the health of South Asian coral reefs

et al. 2023

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Nitrogen pollution is a widespread and growing problem in the coastal waters of South Asia yet the ecological impacts on the region’s coral ecosystems are currently poorly known and understood. South Asia hosts just under 7% of global coral reef coverage but has experienced significant and widespread coral loss in recent decades. The extent to which this coral ecosystem decline at the regional scale can be attributed to the multiple threats posed by nitrogen pollution has been largely overlooked in the literature. Here, we assess the evidence for nitrogen pollution impacts on corals in the central Indian Ocean waters of India, Sri Lanka and the Maldives. We find that there is currently limited evidence with which to clearly demonstrate widespread impacts on coral reefs from nitrogen pollution, including from its interactions with other stressors such as seawater warming. However, this does not prove there are no significant impacts, but rather it reflects the paucity of appropriate observations and related understanding of the range of potential impacts of nitrogen pollution at individual, species and ecosystem levels. This situation presents significant research, management and conservation challenges given the wide acceptance that such pollution is problematic. Following from this, we recommend more systematic collection and sharing of robust observations, modelling and experimentation to provide the baseline on which to base prescient pollution control action.

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“…In addition, the family Lethrinidae has been considered a taxonomically difficult group (Chen and Borsa 2020 ; Ramesh et al. 2020 ; Zhang et al. 2021 ).…”

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confidence: 99%

The complete mitochondrial genome of striped large-eye bream, Gnathodentex aureolineatus (Teleostei, Lethrinidae)

Guo

Gao

Huang

2023

Mitochondrial DNA Part B

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Striped large-eye bream, Gnathodentex aureolineatus (Lacepède, 1802), is of high economic value and has important ecological functions in coral reefs. However, the genetic information of this species is quite limited, and there is taxonomical difficulty in the family Lethrinidae. Here, we present the complete mitochondrial genome of G. aureolineatus obtained with a long PCR approach and Sanger sequencing. The mitogenome was 16,940 bp in length, consisting of 37 genes (13 protein-coding genes, two ribosomal RNA genes, and 22 transfer RNA genes) and two non-coding regions. Both maximum-likelihood and Bayesian inference phylogenetic trees placed the genus Gnathodentex sister to Monotaxis within Lethrinidae. These results contribute toward the taxonomy, conservation, and phylogeny of Lethrinidae.

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Current biodiversity of Mandapam group of Islands in Gulf of Mannar Marine Biosphere Reserve, Southeast coast of Tamil Nadu, India

Cited by 5 publications

References 22 publications

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

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

Anthropogenic nitrogen pollution threats and challenges to the health of South Asian coral reefs

The complete mitochondrial genome of striped large-eye bream, Gnathodentex aureolineatus (Teleostei, Lethrinidae)

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