Trace metal distribution in the sediment cores of mangrove ecosystems along northern Kerala coast, south-west coast of India

Manju, M.N.; Kumar, C. S. Ratheesh; Resmi, P.; Gireeshkumar, T.R.; Joseph, Manju Mary; Salas, P. M.; Chandramohanakumar, N.

doi:10.1016/j.marpolbul.2020.110946

Cited by 25 publications

(4 citation statements)

References 18 publications

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“…The growing human population may considered as a significant contributing factor threatening the ecosystem (Paudel and Kindlmann 2019). Other factors are urbanization (Bhateria and Jain 2016), industrial waste, and developing and converting agriculture and aquaculture areas (Manju et al 2012). Moreover, natural processes such as typhoons, soil erosion, storm tides, and other natural hazards exacerbate the situation.…”

Section: Physico-chemical Analysismentioning

confidence: 99%

Macroinvertebrate assessment in seagrass ecosystem in Sinacaban Municipality, Misamis Occidental, Philippines

MAHILAC,

TANDINGAN,

TORRES

et al. 2023

Biodiversitas

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Abstract. Mahilac HMO, Tandingan JP, Torres AG, Amparado JRR, Roa-Quiaoit HA. 2023. Macroinvertebrate assessment in seagrass ecosystem in Sinacaban Municipality, Misamis Occidental, Philippines. Biodiversitas 24: 5586-5597. Marine ecosystems such as seagrasses are economically and ecologically important in tropical coastal areas like Sinacaban municipality, southern Philippines. This study assessed the macrobenthic species and water quality (e.g., pH, salinity, temperature, Dissolved Oxygen (DO), and total suspended solids (TSS) in three seagrass areas in the municipality. The study showed the seagrass habitats with 40 macrofaunal species from the classes Gastropoda (27), Bivalvia (11), and Crustacea (2), with Clibanarius longitarsus as the most abundant species (77 individuals or 24% relative abundance). The Strombidae family holds the highest dominance within the Gastropoda class, whereas the Arcidae family is the most dominant within the Bivalvia class. However, there is no dominant family within the Crustacea class. Water quality showed pH at 7, 30 ppt salinity, and 28? within their standard limits, while DO (8 mg/L) and TSS (127 mg/L) exceeded their range. This study recorded eight economic important species and five least concern International Union for Conservation of Nature (IUCN) species. Among the three (3) sites, the seagrass area in Libertad has the highest species richness (28), Shannon’s Index (2.92), and species evenness (0.66). The Chao estimation result revealed that Libertad (37.17) and Poblacion (18.5) have lower uncertainty in their species estimates than Colupan (39.60), which has a wider range of potential species richness. The Canonical Correspondence Analysis (CCA) proved that there are species that can adapt to a certain level of environmental parameters, like Angaria delphinus, while Decatopecten radula is one of the species that does not correlate with the water parameters in the study. The findings are critical for biodiversity conservation, ecosystem management, sustainable resource use, and adaptation to changing environments in order to maintain ecological balance and the long-term health of the seagrass ecosystem.

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Section: Physico-chemical Analysismentioning

confidence: 99%

Macroinvertebrate assessment in seagrass ecosystem in Sinacaban Municipality, Misamis Occidental, Philippines

MAHILAC,

TANDINGAN,

TORRES

et al. 2023

Biodiversitas

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“…The potential load index (PLI) is an investigational index demonstrating a combined approach to reveal the degree of metal(loid)s contamination (Manju et al 2020). When the PLI value is zero, it means that everything is perfect.…”

Section: Environmental and Ecological Assessments Of Toxic Metal(loid...mentioning

confidence: 99%

Distribution, sources, and pollution levels of toxic metal(loid)s in an urban river (Ichamati), Bangladesh using SOM and PMF modeling with GIS tool

Nasiruddin

Islam

Siddique

et al. 2022

Environ Sci Pollut Res

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Indexical assessment coupled with a self-organizing map (SOM) and positive matrix factorization (PMF) modeling of toxic metal(loid)s in sediment and water of the aquatic environment provides valuable information from the environmental management perspective. However, in northwest Bangladesh, indexical and modeling assessments of toxic metal(loid)s in surface water and sediment are still rare. Toxic metal(loid)s were measured in sediment and surface water from an urban polluted river (Ichamati) in northwest Bangladesh using an atomic absorption spectrophotometer to assess distribution, pollution levels, sources, and potential environmental risks to the aquatic environment. The mean concentrations (mg/kg) of metal(loid)s in water are as follows: Fe (871) > Mn (382) > Cr (72.4) > Zn (34.2) > Co (20.8) > Pb (17.6) > Ni (16.7) > Ag (14.9) > As (9.0) > Cu (5.63) > Cd (2.65), while in sediment, the concentration follows the order, Fe (18,725) > Mn (551) > Zn (213) > Cu (47.6) > Cr (30.2) > Ni (24.2) > Pb (23.8) > Co (9.61) > As (8.23) > Cd (0.80) > Ag (0.60). All metal concentrations were within standard guideline values except for Cr and Pb for water and Cd, Zn, Cu, Pb, and As for sediment. The outcomes of eco-environmental indices, including contamination and enrichment factors and geoaccumulation index, differed spatially, indicating that most of the sediment sites were moderately to highly polluted by Cd, Zn, and As. Cd and Zn content can trigger ecological risks. The positive matrix factorization (PMF) model recognized three probable sources of sediment, i.e., natural source (49.39%), industrial pollution (19.72%), and agricultural source (30.92%), and three possible sources of water, i.e., geogenic source (45.41%), industrial pollution (22.88%), and industrial point source (31.72%), respectively. SOM analysis identified four spatial patterns, e.g., Fe-Mn-Ag, Cd-Cu, Cr-Pb-As-Ni, and Zn-Co in water and three patterns, e.g., Mn-Co-Ni-Cr, Cd-Cu-Pb-Zn, and As-Fe-Ag in sediment. The spatial distribution of entropy water quality index values shows that the southwestern area possesses "poor" quality water. Overall, the levels of metal(loid) pollution in the investigated river surpassed a critical threshold, which might have serious consequences for the river's aquatic biota and human health in the long run.

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“…Various unnatural factors, in combination with pedogenic variables, are solely accountable for greater mCD levels and spatial variability (Fahmida and Islam, 2018). The PLI is an instrument for evaluating the extent of metal toxicity that uses a set of comparing experimental indices (Manju et al, 2020). A PLI score of one (1.00) con rms the presence of only background concentrations of pollutants, but scores more than one re ect sediment poisoning (Dash et al, 2021).…”

Section: Assessment Of Environmental and Ecological Risk Of Heavy Metalsmentioning

confidence: 99%

Spatial distribution and ecological risk of heavy metal in surface sediment of Old Brahmaputra River, Bangladesh

Islam

Shammi

Jannat

et al. 2022

Chemistry and Ecology

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The study was conducted to investigate the concentrations, distributions, sources and potential ecological risk of heavy metals in surface sediments from the Old Brahmaputra River. Sediment samples were collected from ve sampling stations and analyzed with inductively coupled plasma mass spectrometer (ICP-MS). The results showed that mean concentrations (mg/kg) of heavy metals were in order of Ni (58.82) Cr (32.45) Pb (21.04) Cu (14.24) Cd (3.81) As (2.02). In terms of spatial variation, sedimentary metals differed substantially, and the bulk of metal distribution and abundance can be traced back to man. Element-speci c environmental indices exposed that the ecological risks trailed the downward direction as Cd Ni Pb As Cu Cr. The contamination factor (CF), enrichment factor (EF) and geoaccumulation index (Igeo) exposed all cases a modest level of contamination except Cd, which has a signi cant level of contamination. Only, Ni and Cd were found high ecological risk for aquatic life, based on the sediment quality guidelines.Low to moderate ecological risk was suggested by the prospective ecological risk factor and potential ecological risk. The river sediments were mostly uncontaminated to mildly contaminated, posing a minimal ecological risk. The study concluded that the Old Brahmaputra River is subjected to anthropogenic disturbances for the aquatic environment. In this regards, proper management initiatives and regular monitoring should be carried out immediately by Department of Environment (DoE) to maintain sound and healthy aquatic environment of the River.

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Trace metal distribution in the sediment cores of mangrove ecosystems along northern Kerala coast, south-west coast of India

Cited by 25 publications

References 18 publications

Macroinvertebrate assessment in seagrass ecosystem in Sinacaban Municipality, Misamis Occidental, Philippines

Macroinvertebrate assessment in seagrass ecosystem in Sinacaban Municipality, Misamis Occidental, Philippines

Distribution, sources, and pollution levels of toxic metal(loid)s in an urban river (Ichamati), Bangladesh using SOM and PMF modeling with GIS tool

Spatial distribution and ecological risk of heavy metal in surface sediment of Old Brahmaputra River, Bangladesh

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