Effect of multiple stressors on the functional traits of sub-tidal macrobenthic fauna: A case study of the southeast coast of India

Pandey, Vikas; Jha, Dilip Kumar; Kumar, P. Sathish; Santhanakumar, J.; Venkatnarayanan, S.; Jebakumar, J. Prince Prakash; Dharani, G.

doi:10.1016/j.marpolbul.2022.113355

Cited by 20 publications

(22 citation statements)

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“…Rivers and sewage channels deliver nutrients to coastal bays under certain environmental circumstances (Xu, 1989). Our observation depicted that anthropogenic impact plays a vital role in regulating the physicochemical parameters, barring the environmental parameters such as temperature and salinity, which were demonstrated through the multivariate approach in a more significant way and is comparable with the earlier scientific studies conducted in other coastal locations (Barath Kumar et al, 2018;Pandey et al, 2022). Regular monitoring will help to maintain the seawater quality, promote healthy habitats for flora and fauna, and contribute to coastal conservation and fisheries management (Vijayakumaran et al, 2005;Murugan et al, 2005;Kumar et al, 2009).…”

Section: Resultssupporting

confidence: 87%

“…Tamil Nadu has a coastal length of 1076 Km and stretches along the Bay of Bengal, Arabian Sea and the India Ocean. Palk Bay (PB) and the Gulf of Mannar (GoM), which are located along India's southeast coast, form a significant part of of the country's entire coastline length (Barath Kumar et al, 2018;Pandey et al, 2022;Jha et al, 2022). Thanjavur (THA), Pudukottai (PUD), Ramanathapuram (RAM), Thoothukudi (THO), and Tirunelveli (TIR) were five coastal districts (hereafter 'locations') surveyed during the pre monsoon period (January to March) of 2020 to evaluate the seawater quality (Figure 1A).…”

Section: Methodsmentioning

confidence: 99%

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Investigation of Coastal Water Characteristics Along the Southeast Coast of India: A Multivariate Approach

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Section: Resultssupporting

confidence: 87%

Section: Methodsmentioning

confidence: 99%

Investigation of Coastal Water Characteristics Along the Southeast Coast of India: A Multivariate Approach

et al. 2022

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“…Apart from the good bottom substrate, the natural larval supply such as benthic fauna promotes the rebuilding of the newly deployed AR ecosystem (Pratt, 1994). We observed a total of 81 taxa of benthic fauna represented by a wide range of taxonomic groups namely Polychaeta, Amphipoda, Isopoda, Cumacea, Ostracoda, Nematoda, Bivalvia, Gastropoda, Echinoidea, Nemertea, and Cephalochordata (Pandey et al, 2022). The substratum heterogeneity and habitat complexity lead to higher diversity and abundance of the benthic community, which in turn supports the ecosystem formation around the ARs (Pandey et al, 2018;Pandey and Ganesh, 2019).…”

Section: Resultsmentioning

confidence: 93%

Evaluation of Site Suitability for Artificial Reefs Deployment in Southeast Coast of India Using Geographical Information System as a Management Tool

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A planned artificial reef (AR) deployment program as part of a fisheries enhancement might be a useful tool for managers to supplement traditional ways to utilize available space and augment local productivity. Several AR deployment initiatives have been carried out globally, but they are rarely subjected to a rigorous site selection process. We created a site selection procedure in this study that includes systematic stages including exclusion mapping, underwater visual transect, benthic composition, seawater quality, and comparative visual mapping. This research focused on restoring the fishing grounds for artisanal fishermen by deploying AR along the southeast coast of India. The results of each stage in the procedure enabled us to choose suitable locations at a target depth with low wave action, no slope, and a good substrate capable of supporting an AR. Analysis of variance (ANOVA-one way) showed significant (p < 0.05) spatial variation for depth, slope, seawater current, salinity, chlorophyll-a, benthic density, and diversity. The geographical information system (GIS) based model output showed space allocation for AR deployment. The GIS methodology for site selection was developed to be easily adaptable to the demands of diverse artificial reef programs. The integrated strategy has proven to be a successful regulatory intervention for AR deployment practices in order to facilitate coastal restoration and management.

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“…The higher BOD values indicate poor water quality and have been related to anthropogenic activities (Pandey et al, 2022), which was evident in the inner stations. The natural level of nitrite in seawater is usually very low (< 0.1 µM), but in the transition zone between oxic and anoxic layers, it increases to > 3 µM (Grasshoff et al, 1999).…”

Section: Resultsmentioning

confidence: 99%

Evaluation of Physicochemical Characteristics of Coastal Waters of Nellore, Southeast Coast of India, by a Multivariate Statistical Approach

et al. 2022

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The Swarnamukhi river estuary (SRE), and the surrounding sea in Nellore, southeast coast of India, is one of the least studied marine environments, notably for physicochemical characteristics. Seawater samples were collected from five stations every month from 2014 to 2017 to assess physicochemical characteristics. The open sea (OS) station was significantly different from the inner stations, according to non-metric multidimensional scaling and cluster analysis. The variability was shown by strong factor loadings of atmospheric temperature (0.87), water temperature (0.84), biochemical oxygen demand (0.77), ammonia (0.85), and total nitrogen (0.78). Furthermore, one-way ANOVA and box-whisker plots facilitated simplifying and corroborating multivariate results that showed high concentration in the inner stations. Based on the N/P and Si/N ratios, nitrate and silicate were the key limiting factors in this study. The findings are critical for establishing reference conditions for comparison studies with other comparable ecosystems in the tropical region for better environmental conservation and management.

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Effect of multiple stressors on the functional traits of sub-tidal macrobenthic fauna: A case study of the southeast coast of India

Cited by 20 publications

References 77 publications

Investigation of Coastal Water Characteristics Along the Southeast Coast of India: A Multivariate Approach

Investigation of Coastal Water Characteristics Along the Southeast Coast of India: A Multivariate Approach

Evaluation of Site Suitability for Artificial Reefs Deployment in Southeast Coast of India Using Geographical Information System as a Management Tool

Evaluation of Physicochemical Characteristics of Coastal Waters of Nellore, Southeast Coast of India, by a Multivariate Statistical Approach

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