Nutrient input from internal and external sources could regulate the variability and abundance of algal and macrophytes in freshwater lakes. This study explores the response of algal and macrophyte growth in relation to internal and external nutrient loading. This study was conducted over a 12-month period in a eutrophic shallow urban lake known as Slim River Lake, which located in Perak state, Malaysia. The internal nutrient loading was calculated during five identified dry periods. Meanwhile, external nutrient loading was measured from stormwater runoff after storm events. Algal biomass was measured twice a month, while total macrophyte abundance was measured once in a month. In this lake, internal nutrient loading could contribute up to 7538.33 kg total phosphorus and 42.23 kg total nitrogen during dry periods. Meanwhile, external nutrient loading quantified from the stormwater runoff contributed up to 401,500 kg total phosphorus and 4611.67 kg total nitrogen. The highest monthly mean for algal biomass and total macrophyte abundance was recorded as 60,343.75 cells/mL and 821.50, respectively. Based on the Pearson correlation analysis, algal biomass was significantly correlated with the internal total phosphorus loading (r = 0.54, p < 0.05). In addition, algal biomass also shows an inverse relationship with the external total phosphorus loading (r = - 0.44, p < 0.05). In contrast, total macrophyte abundance was significantly correlated with the external total phosphorus loading (r = 0.50, p < 0.05) and external total nitrogen loading (r = 0.44, p < 0.05). These results suggest that variation of nutrient sources triggers a different response by algal and macrophytes in the study lake. In implications, these findings show that a combination approach in reducing nutrients from sediment and anthropogenic sources is required for potential lake restoration.
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http://dx.doi.org/10.1007/s10661-022-10116-6 | DOI Listing |
Membranes (Basel)
November 2024
Department of Chemical Engineering, Lakehead University, 955 Oliver Road, Thunder Bay, ON P7B 5E1, Canada.
This study presents a theoretical and mathematical analysis and modelling of the emerging microalgal membrane photobioreactors (M-MPBRs) for wastewater treatment. A set of mathematical models was developed to predict the biological performances of M-MPBRs. The model takes into account the effects of hydraulic retention time (HRT), solid retention time (SRT), and the N/P ratio of influent on the biological performance of M-MPBRs, such as microalgal biomass production and nutrient (N and P) removals.
View Article and Find Full Text PDFEnviron Monit Assess
December 2024
Department of Water Engineering, University of Guilan, Rasht, Iran.
The examination of wastewater and effluents flowing into receiving water bodies is crucial for identifying pollutant sources and implementing scenarios to reduce them. In this study, QUAL2kw was used to identify, assess, and predict the pollutant load of a drainage canal located 6 km away from Anzali Wetland. Initially, the model was calibrated and validated with data collected in 2017.
View Article and Find Full Text PDFEnviron Sci Technol
December 2024
U.S. Geological Survey, U.S. Environmental Protection Agency Chesapeake Bay Program, 1750 Forest Drive, Suite 130, Annapolis, Maryland 21401, United States.
Many coastal ecosystems have suffered from cultural eutrophication and dead zones. In the Chesapeake Bay, water quality degradation is manifested in low dissolved oxygen, poor water clarity, and decreased submerged aquatic vegetation acreage. This research combines long-term monitoring data, science-based assessment methods, and novel data analysis approaches (i.
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December 2024
USDA-ARS National Laboratory for Agriculture and the Environment, Ames, Iowa, USA.
Nutrient losses via subsurface tile cause environmental degradation of aquatic ecosystems. Various management practices are primarily aimed at reduction of nitrate leaching in tile discharge; however, studies on leaching of other nutrients are limited. A replicated plot experiment was initiated in 2016 as part of the Long-Term Agroecosystem Research (LTAR) network Croplands Common Experiment to quantify the effectiveness of management practices on leaching of NO-N, total P, K, and S from drained soils.
View Article and Find Full Text PDFWater Res
December 2024
Centre for Nature Positive Solutions, Biosciences and Food Technology Discipline, School of Science, RMIT University, Melbourne, VIC 3000, Australia.
Nutrient loading is a major driver of seagrass ecosystem decline and also threatens the capacity for seagrass ecosystems to act as 'blue carbon' sinks. Dissolved organic carbon (DOC) represents a crucial component of carbon storage in seagrass ecosystems, with refractory DOC (RDOC) playing a key role in long-term (millennial time scale) carbon stocks. The processes governing RDOC are heavily influenced by microbial activity.
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