Greenhouse Gases Trade-Off from Ponds: An Overview of Emission Process and Their Driving Factors

Malyan, Sandeep K.; Singh, Onkar; Kumar, Amit; Anand, Gagan; Singh, Rajesh; Singh, Sandeep; Yu, Zhiguo; Kumar, Jhlaesh; Fagodiya, Ram Kishor

doi:10.3390/w14060970

Cited by 23 publications

(12 citation statements)

References 74 publications

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“…A recent global meta-analysis found that natural wetlands were "net sinks of atmospheric CO 2 and net sources of CH 4 and N 2 O, exhibiting the capacity to mitigate greenhouse effects due to negative comprehensive global warming potentials (GWPs; -.9 to -8.7 t CO 2 -eq ha −1 year −1 )" (Tan et al, 2020). This analysis and other studies further highlight that the spatio-temporal variability in GHG emission is primarily sensitive to changes in water temperature, surface water content, chlorophyll-a, soil nitrogen content, bulk density, and soil pH (Kumar et al, 2022;Liu et al;Malyan et al, 2022;Zhou et al, 2022).…”

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confidence: 66%

Editorial: Wetland ecosystems as important greenhouse hotspots

Kumar

Thakur

2023

Front. Environ. Sci.

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Editorial on the Research Topic Wetland ecosystems as important greenhouse hotspotsWetlands are highly valued for their rich diversity (flora and fauna), hydrological attributes, ecological productivity, and ecosystem services. Furthermore, wetlands behave as a potential source/sink of atmospheric greenhouse gases (GHG, especially CH 4 ) as well as supporting carbon (C) sequestration, thereby contributing to the global C balance. The dense vegetation patterns, algal activity, and terrestrial soils of wetland ecosystems regulate organic matter (OM) decomposition processes, producing a significant amount of global GHG (Lian et al.). Conversely, some types of wetlands may be more efficient at capturing atmospheric C than rainforests. Pant et al. (2003) highlighted that wetlands are invaluable C sinks, contributing the highest C density among terrestrial ecosystems, while floods suppress CO 2 emissions but also generate a significant amount of methane (Zhang et al., 2020). Although wetlands occupy only 5%-8% of the earth's land surface, they regulate ~68% of terrestrial soil C reserves, thereby playing a decisive role in global C budgets. In recent decades, anthropogenic activities in numerous catchments alter the geochemical process (Khan et al.). Moreover, rapid increases in urbanization have disturbed land use and land cover (LULC), thereby increasing atmospheric GHG concentrations. Globally, carbon dioxide (CO 2 ) has been increasing at 1.7 ppmv yr −1 (equivalent to 46% yr −1 ) resulting in global warming and numerous associated impacts on ecosystems and human societies. Thus, mitigation of global warming is a central theme of worldwide discourse (UNSECC, 2022).Wetland ecosystems have often been neglected, despite providing a wealth of provisioning, regulatory, cultural, and supporting services valuable to humans. Recently, Peng et al. ( 2022) quantified changes in CH 4 sources and atmospheric sinks in 2020 compared with 2019, finding that globally, "total anthropogenic emissions decreased by 1.2 ± .1 teragrams of methane per year (Tg CH 4 yr −1 ), fire emissions decreased by 6.5 ± .1 Tg CH 4 yr −1 yet wetland emissions increased by 6.0 ± 2.3 Tg CH 4 yr −1" . A balance between these exchanges is vital to understand how restoration or expansion of wetlands areas can help to mitigate climate change. Since the 1900s, due to LULC changes about 64%-71% of wetlands ecosystems have been degraded or lost, which has affected their nutrient concentrations and dynamics resulting in GHG emissions (Davidson, 2014). However, the state of those that remain is unclear. The prime goal of this Research Topic is to provide an opportunity for global scientists to understand wetland hydrology, the process and transport mechanism of OM degradation, and key factors influencing GHG emissions so that nature-based cimatic solutions can be implemented systematically Figure 1.

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confidence: 66%

Editorial: Wetland ecosystems as important greenhouse hotspots

Kumar

Thakur

2023

Front. Environ. Sci.

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“…The pH range of water in inland fresh waterbodies is 6-8 globally. Particularly, water bodies in Ontario, Canada exhibited pH range 5.77-7.74 (Malyan et al, 2022; Figure 7 Pretreatment optimization for cotton fibre hydrolysis: (a) Evaluation of different pretreatment conditions for cotton fibre hydrolysis using 3% commercial cellulase blend (Ctec2) and 25 mg cotton (weight of cellulose). Hot water pretreatment was done at 90 °C for 1 h with constant stirring on hot plate.…”

Section: Discussionmentioning

confidence: 99%

“…The pH range of water in inland fresh waterbodies is 6–8 globally. Particularly, water bodies in Ontario, Canada exhibited pH range 5.77–7.74 (Malyan et al ., 2022 ; Perron and Pick, 2020 ). The pH of the denim industry effluent greatly varies from 4.5 to 10 depending upon the fabric and dye used (Hooshmand et al ., 2020 ).…”

Section: Discussionmentioning

confidence: 99%

Abatement of microfibre pollution and detoxification of textile dye – Indigo by engineered plant enzymes

Wakade

Lin

Saha

et al. 2022

Plant Biotechnology Journal

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Summary Microfibres (diameter <5 mm) and textile dyes released from textile industries are ubiquitous, cause environmental pollution, and harm aquatic flora, fauna, animals and human life. Therefore, enzymatic abatement of microfibre pollution and textile dye detoxification is essential. Microbial enzymes for such application present major challenges of scale and affordability to clean up large scale pollution. Therefore, enzymes required for the biodegradation of microfibres and indigo dye were expressed in transplastomic tobacco plants through chloroplast genetic engineering. Integration of laccase and lignin peroxidase genes into the tobacco chloroplast genomes and homoplasmy was confirmed by Southern blots. Decolorization (up to 86%) of samples containing indigo dye (100 mg/L) was obtained using cp‐laccase (0.5% plant enzyme powder). Significant (8‐fold) reduction in commercial microbial cellulase cocktail was achieved in pretreated cotton fibre hydrolysis by supplementing cost effective cellulases (endoglucanases, ß‐glucosidases) and accessory enzymes (swollenin, xylanase, lipase) and ligninases (laccase lignin peroxidase) expressed in chloroplasts. Microfibre hydrolysis using cocktail of Cp‐cellulases and Cp‐accessory enzymes along with minimal dose (0.25% and 0.5%) of commercial cellulase blend (Ctec2) showed 88%–89% of sugar release from pretreated cotton and microfibres. Cp‐ligninases, Cp‐cellulases and Cp‐accessory enzymes were stable in freeze dried leaves up to 15 and 36 months respectively at room temperature, when protected from light. Use of plant powder for decolorization or hydrolysis eliminated the need for preservatives, purification or concentration or cold chain. Evidently, abatement of microfibre pollution and textile dye detoxification using Cp‐enzymes is a novel and cost‐effective approach to prevent their environmental pollution.

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“…Microbial communities in water samples were largely affected by the TN, TP, NO 3 (-)-N, and NO 2 (-)-N concentrations, and sediment was affected by Sed-OM and Sed-TN. Tetracycline, oxytetracycline, chlortetracycline, and sulfadiazine are the four dominant antibiotics in the wetland, and they had a major influence on microbial communities in both water and sediment samples (Wang et al, 2017;Han et al, 2019;Goyal et al, 2022;Malyan et al, 2022). Tetracyclines may have contributed more than sulphonamides in the abundance of sul1, sul2, and tetC gens in Honghu Lake (Yang et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Microbial biomarkers to identify areas of wetland sediments affected by massive fish farming

Lian¹,

Zhen²,

Yan³

et al. 2022

Front. Environ. Sci.

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Massive fish farming for more than two decades, combined with external sources of pollution, deteriorated the quality of water and sediment and damaged the ecosystem in Honghu Lake. Although water quality has been improving, great challenges remain in restoring the healthy function of ecosystems for self-mitigation. With concerns about contaminants in the sediment that might be the source of pollution, water and sediment samples were collected systematically across the wetland. With the 16s rDNA gene sequence and multiple statistical analyses, this study was able to identify locations where sediments were mostly impacted by non-point source pollution from the surrounding agricultural areas and fish farming inside the lake. The clustering analysis identified two distinct clusters coincide with areas with and without fish farming. The LEfSe algorithm successfully distinguished the differentially abundant biomarkers between the two clusters. By combining the GIS techniques with microbial analysis, hotspots with hazardous pathogenic bacteria such as Rokubacteria, Elusimicrobia, and Fusobacteria in sediments were located. This study showed that comprehensive biodiversity analysis combined with spatial analysis could make the microbial information serve well as biomarkers and indicators for environmental and ecosystem restoration.

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Greenhouse Gases Trade-Off from Ponds: An Overview of Emission Process and Their Driving Factors

Cited by 23 publications

References 74 publications

Editorial: Wetland ecosystems as important greenhouse hotspots

Editorial: Wetland ecosystems as important greenhouse hotspots

Abatement of microfibre pollution and detoxification of textile dye – Indigo by engineered plant enzymes

Microbial biomarkers to identify areas of wetland sediments affected by massive fish farming

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