1
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Vesamäki JS, Laine MB, Nissinen R, Taipale SJ. Plastic and terrestrial organic matter degradation by the humic lake microbiome continues throughout the seasons. ENVIRONMENTAL MICROBIOLOGY REPORTS 2024; 16:e13302. [PMID: 38852938 PMCID: PMC11162827 DOI: 10.1111/1758-2229.13302] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/08/2024] [Accepted: 05/15/2024] [Indexed: 06/11/2024]
Abstract
Boreal freshwaters go through four seasons, however, studies about the decomposition of terrestrial and plastic compounds often focus only on summer. We compared microbial decomposition of 13C-polyethylene, 13C-polystyrene, and 13C-plant litter (Typha latifolia) by determining the biochemical fate of the substrate carbon and identified the microbial decomposer taxa in humic lake waters in four seasons. For the first time, the annual decomposition rate including separated seasonal variation was calculated for microplastics and plant litter in the freshwater system. Polyethylene decomposition was not detected, whereas polystyrene and plant litter were degraded in all seasons. In winter, decomposition rates of polystyrene and plant litter were fivefold and fourfold slower than in summer, respectively. Carbon from each substrate was mainly respired in all seasons. Plant litter was utilized efficiently by various microbial groups, whereas polystyrene decomposition was limited to Alpha- and Gammaproteobacteria. The decomposition was not restricted only to the growth season, highlighting that the decomposition of both labile organic matter and extremely recalcitrant microplastics continues throughout the seasons.
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Affiliation(s)
- Jussi S. Vesamäki
- Department of Biological and Environmental ScienceUniversity of JyväskyläJyväskyläFinland
| | - Miikka B. Laine
- Department of Biological and Environmental ScienceUniversity of JyväskyläJyväskyläFinland
| | - Riitta Nissinen
- Department of Biological and Environmental ScienceUniversity of JyväskyläJyväskyläFinland
- Department of BiologyUniversity of TurkuTurkuFinland
| | - Sami J. Taipale
- Department of Biological and Environmental ScienceUniversity of JyväskyläJyväskyläFinland
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2
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Li L, Xie G, Dong P, Tang H, Wu L, Zhang L. Anticyanobacterial effect of p-coumaric acid on Limnothrix sp. determined by proteomic and metabolomic analysis. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 926:171632. [PMID: 38471589 DOI: 10.1016/j.scitotenv.2024.171632] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Revised: 02/23/2024] [Accepted: 03/08/2024] [Indexed: 03/14/2024]
Abstract
Regulating photosynthetic machinery is a powerful but challenging strategy for selectively inhibiting bloom-forming cyanobacteria, in which photosynthesis mainly occurs in thylakoids. P-coumaric acid (p-CA) has several biological properties, including free radical scavenging and antibacterial effects, and studies have shown that it can damage bacterial cell membranes, reduce chlorophyll a in cyanobacteria, and effectively inhibit algal growth at concentrations exceeding 0.127 g/L. Allelochemicals typically inhibit cyanobacteria by inhibiting photosynthesis; however, research on inhibiting harmful algae using phenolic acids has focused mainly on their inhibitory and toxic effects and metabolite levels, and the molecular mechanism by which p-CA inhibits photosynthesis remains unclear. Thus, we examined the effect of p-CA on the photosynthesis of Limnothrix sp. in detail. We found that p-CA inhibits algal growth and damages photosynthesis-related proteins in Limnothrix sp., reduces carotenoid and allophycocyanin levels, and diminishes the actual quantum yield of Photosystem II (PSII). Moreover, p-CA significantly altered algal cell membrane protein systems, and PSII loss resulting from p-CA exposure promoted reactive oxygen species production. It significantly altered algae cell membrane protein systems. Finally, p-CA was found to be environmentally nontoxic; 80 % of 48-h-old Daphnia magna larvae survived when exposed to 0.15 g/L p-CA. These findings provide insight into the mechanism of cyanobacterial inhibition by p-CA, providing a more practical approach to controlling harmful algal blooms.
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Affiliation(s)
- Lingzhi Li
- College of Environment and Ecology, Chongqing University, Chongqing 400044, China
| | - Gengxin Xie
- College of Environment and Ecology, Chongqing University, Chongqing 400044, China.
| | - Pan Dong
- School of Life Sciences, Chongqing University, Chongqing 401331, China
| | - Hui Tang
- College of Environment and Ecology, Chongqing University, Chongqing 400044, China
| | - Liping Wu
- College of Environment and Ecology, Chongqing University, Chongqing 400044, China
| | - Liang Zhang
- College of Environment and Ecology, Chongqing University, Chongqing 400044, China
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3
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Cheng S, Zhang H, Wang H, Mubashar M, Li L, Zhang X. Influence of algal organic matter in the in-situ flotation removal of Microcystis using positively charged bubbles. BIORESOURCE TECHNOLOGY 2024; 397:130468. [PMID: 38378102 DOI: 10.1016/j.biortech.2024.130468] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Revised: 02/15/2024] [Accepted: 02/17/2024] [Indexed: 02/22/2024]
Abstract
Positively charged bubbles efficiently capture and remove negatively charged algal cells without relying on coagulation-flocculation. However, the efficiency is notably influenced by the presence of algal organic matter (AOM). This study investigated the impact of AOM composition on flotation performance by analyzing AOM from various growth phases of Microcystis flos-aquae. The results indicated that low-concentration AOM (<5 mg C L-1), particularly the high molecular weight (>30 kDa) fractions containing high percentages of protein during the exponential growth phase, significantly improved the flotation efficiency by >18%. A high-speed camera system illustrates the pivotal role of low-concentration protein-containing AOM in forming network structures that enhance cell capture. These protein-driven network structures, which enhance the flotation efficiency, provide valuable insights into the development of effective in-situ algal bloom prevention techniques.
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Affiliation(s)
- Shaozhe Cheng
- Institute of Hydrobiology, Chinese Academy of Sciences, South Donghu Road, Wuchang District, Wuhan 430072, Hubei Province, China; University of Chinese Academy of Sciences, No. 19(A) Yuquan Road, Shijingshan District, Beijing 100049, China
| | - Haiyang Zhang
- Institute of Hydrobiology, Chinese Academy of Sciences, South Donghu Road, Wuchang District, Wuhan 430072, Hubei Province, China
| | - Hailing Wang
- Institute of Hydrobiology, Chinese Academy of Sciences, South Donghu Road, Wuchang District, Wuhan 430072, Hubei Province, China; University of Chinese Academy of Sciences, No. 19(A) Yuquan Road, Shijingshan District, Beijing 100049, China
| | - Muhammad Mubashar
- Institute of Hydrobiology, Chinese Academy of Sciences, South Donghu Road, Wuchang District, Wuhan 430072, Hubei Province, China
| | - Lili Li
- Institute of Hydrobiology, Chinese Academy of Sciences, South Donghu Road, Wuchang District, Wuhan 430072, Hubei Province, China; University of Chinese Academy of Sciences, No. 19(A) Yuquan Road, Shijingshan District, Beijing 100049, China
| | - Xuezhi Zhang
- Institute of Hydrobiology, Chinese Academy of Sciences, South Donghu Road, Wuchang District, Wuhan 430072, Hubei Province, China.
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4
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Kim HG, Cha Y, Cho KH. Projected climate change impact on cyanobacterial bloom phenology in temperate rivers based on temperature dependency. WATER RESEARCH 2024; 249:120928. [PMID: 38043354 DOI: 10.1016/j.watres.2023.120928] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Revised: 11/23/2023] [Accepted: 11/24/2023] [Indexed: 12/05/2023]
Abstract
Climate warming is linked to earlier onset and extended duration of cyanobacterial blooms in temperate rivers. This causes an unpredictable extent of harm to the functioning of the ecosystem and public health. We used Microcystis spp. cell density data monitored for seven years (2016-2022) in ten sites across four temperate rivers of the Republic of Korea to define the phenology of cyanobacterial blooms and elucidate the climatic effect on their pattern. The day of year marking the onset, peak, and end of Microcystis growth were estimated using a Weibull function, and linear mixed-effect models were employed to analyze their relationships with environmental variables. These models identified river-specific temperatures at the beginning and end dates of cyanobacterial blooms. Furthermore, the most realistic models were employed to project future Microcystis bloom phenology, considering downscaled and quantile-mapped regional air temperatures from a general circulation model. Daily minimum and daily maximum air temperatures (mintemp and maxtemp) primarily drove the timing of the beginning and end of the bloom, respectively. The models successfully captured the spatiotemporal variations of the beginning and end dates, with mintemp and maxtemp predicted to be 24℃ (R2 = 0.68) and 16℃ (R2 = 0.35), respectively. The beginning and end dates were projected to advance considerably in the future under the Representative Concentration Pathway 2.6, 4.5, and 8.5. The simulations suggested that the largest uncertainty lies in the timing of when the bloom ends, whereas the timing of when blooming begins has less variation. Our study highlights the dependency of cyanobacterial bloom phenology on temperatures and earlier and prolonged bloom development.
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Affiliation(s)
- Hyo Gyeom Kim
- School of Civil, Environmental, and Architectural Engineering, Korea University, Seoul 02841, the Republic of Korea
| | - YoonKyung Cha
- School of Environmental Engineering, University of Seoul, Seoul, the Republic of Korea
| | - Kyung Hwa Cho
- School of Civil, Environmental, and Architectural Engineering, Korea University, Seoul 02841, the Republic of Korea.
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5
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Wu L, Zhang L, Yuan L, Liao Q, Xiang J, Zhang D, Qiu T, Liu J, Guo J. Spatio-temporal variation of toxin-producing gene abundance in Microcystis aeruginosa from Poyang Lake. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2024; 31:2930-2943. [PMID: 38079038 DOI: 10.1007/s11356-023-31284-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Accepted: 11/24/2023] [Indexed: 01/18/2024]
Abstract
Microcystis aeruginosa (M. aeruginosa) causes massive blooms in eutrophic freshwater and releases microcystin. Poyang Lake is the largest freshwater lake in China and has kept a mid-nutrient level in recent years. However, there is little research on microcystin production in Poyang Lake. In this study, water and sediment samples from ten sampling sites in Poyang Lake were collected from May to December in 2020, and from January to April in 2021 respectively. Microcystis genes (mcyA, mcyB, 16 s rDNA) were quantified by real-time fluorescence quantitative PCR analysis, and then the spatial and temporal variation of mcy genes, physicochemical factors, and bacterial population structure in the lake was analyzed. The relationship between the abundance of mcy genes and physicochemical factors in water column was also revealed. Results indicated that the microcystin-producing genes mcyA and mcyB showed significant differences in spatial and temporal levels as well, which is closely related to the physicochemical factors especially the water temperature (p < 0.05) and the nitrogen content (p < 0.05). The abundance of mcy genes in the sediment in December affected the abundance of mcy genes in the water column in the next year, while the toxic Microcystis would accumulate in the sediment. In addition to the toxic Microcystis, we also found a large number of non-toxic Microcystis in the water column and sediment, and the ratio of toxic to non-toxic species can also affect the toxicity production of M. aeruginosa. Overall, the results showed that M. aeruginosa toxin-producing genes in Poyang Lake distributed spatially and temporally which related to the physicochemical factors of Poyang Lake.
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Affiliation(s)
- Lin Wu
- Institute for Quality & Safety and Standards of Agricultural Products Research, Jiangxi Academy of Agricultural Sciences, Nanlian Road 602, Nanchang, 330200, People's Republic of China
- Institute WUT-AMU, Wuhan University of Technology, Wuhan, 430070, China
| | - Li Zhang
- Institute for Quality & Safety and Standards of Agricultural Products Research, Jiangxi Academy of Agricultural Sciences, Nanlian Road 602, Nanchang, 330200, People's Republic of China
| | - Lijuan Yuan
- Institute for Quality & Safety and Standards of Agricultural Products Research, Jiangxi Academy of Agricultural Sciences, Nanlian Road 602, Nanchang, 330200, People's Republic of China
| | - Qiegen Liao
- Institute for Quality & Safety and Standards of Agricultural Products Research, Jiangxi Academy of Agricultural Sciences, Nanlian Road 602, Nanchang, 330200, People's Republic of China
| | - Jianjun Xiang
- Institute for Quality & Safety and Standards of Agricultural Products Research, Jiangxi Academy of Agricultural Sciences, Nanlian Road 602, Nanchang, 330200, People's Republic of China
| | - Dawen Zhang
- Institute for Quality & Safety and Standards of Agricultural Products Research, Jiangxi Academy of Agricultural Sciences, Nanlian Road 602, Nanchang, 330200, People's Republic of China.
| | - Tong Qiu
- Institute WUT-AMU, Wuhan University of Technology, Wuhan, 430070, China
| | - Jutao Liu
- Jiangxi Provincial Institute of Water Sciences, Nanchang, 330200, Jiangxi, China
| | - Junhui Guo
- Institute WUT-AMU, Wuhan University of Technology, Wuhan, 430070, China
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6
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Zhang Y, Shen R, Gu X, Li K, Chen H, He H, Mao Z, Johnson RK. Simultaneous increases of filter-feeding fish and bivalves are key for controlling cyanobacterial blooms in a shallow eutrophic lake. WATER RESEARCH 2023; 245:120579. [PMID: 37688854 DOI: 10.1016/j.watres.2023.120579] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Revised: 08/27/2023] [Accepted: 09/04/2023] [Indexed: 09/11/2023]
Abstract
Eutrophication and cyanobacterial blooms have severely affected many freshwater ecosystems. We studied the effects of filter-feeding fish and bivalves on algal populations using a mesocosm experiment and long-term monitoring data from Lake Taihu (China). The mesocosm study, comprised of a two-way factorial design with the clam Corbicula fluminea and the fish Aristichthys nobilis at three biomass levels, resulted in lower chlorophyll a (Chl a) in high fish treatments, but no significant differences in the low and medium fish treatments. Chl a also decreased with an increase in clam biomass in the high fish treatments. Moreover, filter-feeding fish resulted in a decrease in algal sizes (e.g., the colony size of Microcystis aeruginosa was inversely related to fish biomass) which likely increased the filter-feeding efficiency of bivalves. Biomass of filter-feeding fish was found to be a key factor driving the synergistic effects of filter-feeding fish and bivalves in waters dominated by Microcystis colonies. Long-term monitoring revealed increasing trends in Chl a concentration, total fish catch per unit effort (TF-CPUE), and filter-feeding fish (FF-CPUE), and slightly decreasing trends in bivalve biomass and nitrogen to phosphorus ratios (N:P) from 2006 to 2016. Bivalve biomass and N:P were negatively correlated with Chl a, while FF-CPUE was not significantly related to Chl a. The current filter-feeding fish biomass in Lake Taihu is estimated to be too low to drive synergistic algal control effects together with bivalves. Furthermore, the lack of filter feeders in Lake Taihu may lead to top-down control by predators that cannot counteract the bottom-up effects of nutrients on phytoplankton. Collectively, these long-term monitoring and experimental data support the combined use filter-feeding fish and bivalves for managing cyanobacteria blooms in Lake Taihu.
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Affiliation(s)
- You Zhang
- State Key Laboratory of Lake Science and Environment, Chinese Academy of Sciences, Nanjing Institute of Geography and Limnology, Nanjing 210008, China; Department of Aquatic Sciences and Assessment, Swedish University of Agricultural Sciences, Uppsala 75007, Sweden
| | - Ruijie Shen
- State Key Laboratory of Lake Science and Environment, Chinese Academy of Sciences, Nanjing Institute of Geography and Limnology, Nanjing 210008, China
| | - Xiaohong Gu
- State Key Laboratory of Lake Science and Environment, Chinese Academy of Sciences, Nanjing Institute of Geography and Limnology, Nanjing 210008, China
| | - Kuanyi Li
- State Key Laboratory of Lake Science and Environment, Chinese Academy of Sciences, Nanjing Institute of Geography and Limnology, Nanjing 210008, China; Sino-Danish College, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Huihui Chen
- State Key Laboratory of Lake Science and Environment, Chinese Academy of Sciences, Nanjing Institute of Geography and Limnology, Nanjing 210008, China
| | - Hu He
- State Key Laboratory of Lake Science and Environment, Chinese Academy of Sciences, Nanjing Institute of Geography and Limnology, Nanjing 210008, China
| | - Zhigang Mao
- State Key Laboratory of Lake Science and Environment, Chinese Academy of Sciences, Nanjing Institute of Geography and Limnology, Nanjing 210008, China.
| | - Richard K Johnson
- Department of Aquatic Sciences and Assessment, Swedish University of Agricultural Sciences, Uppsala 75007, Sweden
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7
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Li Y, Tao J, Zhang Y, Shi K, Chang J, Pan M, Song L, Jeppesen E, Zhou Q. Urbanization shifts long-term phenology and severity of phytoplankton blooms in an urban lake through different pathways. GLOBAL CHANGE BIOLOGY 2023; 29:4983-4999. [PMID: 37353861 DOI: 10.1111/gcb.16828] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Revised: 04/14/2023] [Accepted: 05/31/2023] [Indexed: 06/25/2023]
Abstract
Climate change can induce phytoplankton blooms (PBs) in eutrophic lakes worldwide, and these blooms severely threaten lake ecosystems and human health. However, it is unclear how urbanization and its interaction with climate impact PBs, which has implications for the management of lakes. Here, we used multi-source remote sensing data and integrated the Virtual-Baseline Floating macroAlgae Height (VB-FAH) index and OTSU threshold automatic segmentation algorithm to extract the area of PBs in Lake Dianchi, China, which has been subjected to frequent PBs and rapid urbanization in its vicinity. We further explored long-term (2000-2021) trends in the phenological and severity metrics of PBs and quantified the contributions from urbanization, climate change, and also nutrient levels to these trends. When comparing data from 2011-2021 to 2000-2010, we found significantly advanced initiation of PBs (28.6 days) and noticeably longer duration (51.9 days) but an insignificant trend in time of disappearance. The enhancement of algal nutrient use efficiency, likely induced by increased water temperature and reduced nutrient concentrations, presumably contributed to an earlier initiation and longer duration of PBs, while there was a negative correlation between spring wind speed and the initiation of PBs. Fortunately, we found that both the area of the PBs and the frequency of severe blooms (covering more than 19.8 km2 ) demonstrated downward trends, which could be attributed to increased wind speed and/or reduced nutrient levels. Moreover, the enhanced land surface temperature caused by urbanization altered the thermodynamic characteristics between the land and the lake, which, in turn, possibly caused an increase in local wind speed and water temperature, suggesting that urbanization can differently regulate the phenology and severity of PBs. Our findings have significant implications for the understanding of the impacts of urbanization on PB dynamics and for improving lake management practices to promote sustainable urban development under global change.
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Affiliation(s)
- Yuanrui Li
- Institute for Ecological Research and Pollution Control of Plateau Lakes, School of Ecology and Environmental Sciences, Yunnan University, Kunming, China
| | - Juan Tao
- Yunnan Key Laboratory of International Rivers and Transboundary Eco-Security, Institute of International Rivers and Eco-Security, Yunnan University, Kunming, China
| | - Yunlin Zhang
- Taihu Laboratory for Lake Ecosystem Research, State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, China
| | - Kun Shi
- Taihu Laboratory for Lake Ecosystem Research, State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, China
| | - Junjun Chang
- Institute for Ecological Research and Pollution Control of Plateau Lakes, School of Ecology and Environmental Sciences, Yunnan University, Kunming, China
| | - Min Pan
- Dianchi Lake Ecosystem Observation and Research Station of Yunnan Province, Kunming Dianchi and Plateau Lakes Institute, Kunming, China
| | - Lirong Song
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China
| | - Erik Jeppesen
- Department of Ecoscience, Aarhus University, Aarhus, Denmark
- Sino-Danish Centre for Education and Research, Beijing, China
- Limnology Laboratory, Department of Biological Sciences and Centre for Ecosystem Research and Implementation, Middle East Technical University, Ankara, Turkey
- Institute of Marine Sciences, Middle East Technical University, Mersin, Turkey
| | - Qichao Zhou
- Institute for Ecological Research and Pollution Control of Plateau Lakes, School of Ecology and Environmental Sciences, Yunnan University, Kunming, China
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8
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Yang Y, Wang H, Yan S, Wang T, Zhang P, Zhang H, Wang H, Hansson LA, Xu J. Chemodiversity of Cyanobacterial Toxins Driven by Future Scenarios of Climate Warming and Eutrophication. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2023; 57:11767-11778. [PMID: 37535835 DOI: 10.1021/acs.est.3c02257] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/05/2023]
Abstract
Climate change and eutrophication are two environmental threats that can alter the structure of freshwater ecosystems and their service functions, but we know little about how ecosystem structure and function will evolve in future scenarios of climate warming. Therefore, we created different experimental climate scenarios, including present-day conditions, a 3.0 °C increase in mean temperature, and a "heatwaves" scenario (i.e., an increase in temperature variability) to assess the effects of climate change on phytoplankton communities under simultaneous stress from eutrophication and herbicides. We show that the effects of climate warming, particularly heatwaves, are associated with elevated cyanobacterial abundances and toxin production, driven by a change from mainly nontoxic to toxic Microcystis spp. The reason for higher cyanobacterial toxin concentrations is likely an increase in abundances because under the dual pressures of climate warming and eutrophication individual Microcystis toxin-producing ability decreased. Eutrophication and higher temperatures significantly increased the biomass of Microcystis, leading to an increase in the cyanobacterial toxin concentrations. In contrast, warming alone did not produce higher cyanobacterial abundances or cyanobacterial toxin concentrations likely due to the depletion of the available nutrient pool. Similarly, the herbicide glyphosate alone did not affect abundances of any phytoplankton taxa. In the case of nutrient enrichment, cyanobacterial toxin concentrations were much higher than under warming alone due to a strong boost in biomass of potential cyanobacterial toxin producers. From a broader perspective our study shows that in a future warmer climate, nutrient loading has to be reduced if toxic cyanobacterial dominance is to be controlled.
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Affiliation(s)
- Yalan Yang
- State Key Laboratory of Marine Resource Utilization in South China Sea, Hainan University, Haikou, Hainan 570228, P. R. China
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, P. R. China
| | - Huan Wang
- State Key Laboratory of Marine Resource Utilization in South China Sea, Hainan University, Haikou, Hainan 570228, P. R. China
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, P. R. China
| | - Shuwen Yan
- Department of Environmental Science & Engineering, Fudan University, Shanghai 200438, P. R. China
| | - Tao Wang
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, P. R. China
| | - Peiyu Zhang
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, P. R. China
| | - Huan Zhang
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, P. R. China
| | - Hongxia Wang
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, P. R. China
| | - Lars-Anders Hansson
- Department of Biology/Aquatic Ecology, Ecology Building, Lund University, Lund SE-22100, Sweden
| | - Jun Xu
- State Key Laboratory of Marine Resource Utilization in South China Sea, Hainan University, Haikou, Hainan 570228, P. R. China
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, P. R. China
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9
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Cai H, Shimoda Y, Mao J, Arhonditsis GB. Development of a sensitivity analysis framework for aquatic biogeochemical models using machine learning. ECOL INFORM 2023. [DOI: 10.1016/j.ecoinf.2023.102079] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/30/2023]
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10
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Kong X, Determann M, Andersen TK, Barbosa CC, Dadi T, Janssen AB, Paule-Mercado MC, Pujoni DG, Schultze M, Rinke K. Synergistic Effects of Warming and Internal Nutrient Loading Interfere with the Long-Term Stability of Lake Restoration and Induce Sudden Re-eutrophication. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2023; 57:4003-4013. [PMID: 36802563 PMCID: PMC9997485 DOI: 10.1021/acs.est.2c07181] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Revised: 02/07/2023] [Accepted: 02/08/2023] [Indexed: 06/18/2023]
Abstract
Phosphorus (P) precipitation is among the most effective treatments to mitigate lake eutrophication. However, after a period of high effectiveness, studies have shown possible re-eutrophication and the return of harmful algal blooms. While such abrupt ecological changes were attributed to the internal P loading, the role of lake warming and its potential synergistic effects with internal loading, thus far, has been understudied. Here, in a eutrophic lake in central Germany, we quantified the driving mechanisms of the abrupt re-eutrophication and cyanobacterial blooms in 2016 (30 years after the first P precipitation). A process-based lake ecosystem model (GOTM-WET) was established using a high-frequency monitoring data set covering contrasting trophic states. Model analyses suggested that the internal P release accounted for 68% of the cyanobacterial biomass proliferation, while lake warming contributed to 32%, including direct effects via promoting growth (18%) and synergistic effects via intensifying internal P loading (14%). The model further showed that the synergy was attributed to prolonged lake hypolimnion warming and oxygen depletion. Our study unravels the substantial role of lake warming in promoting cyanobacterial blooms in re-eutrophicated lakes. The warming effects on cyanobacteria via promoting internal loading need more attention in lake management, particularly for urban lakes.
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Affiliation(s)
- Xiangzhen Kong
- State
Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of
Sciences, 210008 Nanjing, China
- Department
of Lake Research, Helmholtz Centre for Environmental
Research - UFZ, 39114 Magdeburg, Germany
| | - Maria Determann
- Department
of Lake Research, Helmholtz Centre for Environmental
Research - UFZ, 39114 Magdeburg, Germany
| | | | | | - Tallent Dadi
- Department
of Lake Research, Helmholtz Centre for Environmental
Research - UFZ, 39114 Magdeburg, Germany
| | - Annette B.G. Janssen
- Water
Systems and Global Change Group, Wageningen
University & Research, Droevendaalsesteeg 3, 6708 PB, Wageningen, The Netherlands
| | - Ma. Cristina Paule-Mercado
- Institute
of Hydrobiology, Biology Centre, Czech Academy
of Sciences, Na Sádkách 7, České
Budějovice 37005, Czech Republic
| | - Diego Guimarães
Florencio Pujoni
- Laboratório
de Limnologia, Ecotoxicologia e Ecologia Aquática, Instituto
de Ciências Biológicas, Universidade
Federal de Minas Gerais, Avenida Antônio Carlos 6627, Cep 31270-901 Belo Horizonte, Minas Gerais, Brazil
| | - Martin Schultze
- Department
of Lake Research, Helmholtz Centre for Environmental
Research - UFZ, 39114 Magdeburg, Germany
| | - Karsten Rinke
- Department
of Lake Research, Helmholtz Centre for Environmental
Research - UFZ, 39114 Magdeburg, Germany
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11
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Elhabashy A, Li J, Sokolova E. Water quality modeling of a eutrophic drinking water source: Impact of future climate on Cyanobacterial blooms. Ecol Modell 2023. [DOI: 10.1016/j.ecolmodel.2023.110275] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
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12
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Li J, Sun J, Wang R, Cui T, Tong Y. Warming of surface water in the large and shallow lakes across the Yangtze River Basin, China, and its driver analysis. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:20121-20132. [PMID: 36251192 DOI: 10.1007/s11356-022-23608-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Accepted: 10/09/2022] [Indexed: 06/16/2023]
Abstract
A variety of physical, chemical, and biological processes within the lakes relies on the surface water temperature while the spatial pattern of large lakes of different warming trends and their connections with climate change remain unclear. Using correlation analysis, regression tree analysis (RTA), and general linear models (GLMs), we have estimated the warming trends of 192 lakes since 2000 in the populated Yangtze River Basin, China, to identify dominant climate drivers and quantify their contributions. The results show that surface water temperature has increased substantially in the majority of the investigated lakes (179 from a total of 192 lakes) at a rate of 0.29 (- 0.12 to 0.62) °C/decade (median and 95% confidence interval). The shallower lakes (< 13.1 m in depth) usually have the faster median warming rates than the deeper lakes (i.e., 0.37 °C/decade versus 0.16 °C/decade). We find that in the shallow lakes, rising air temperatures and declining wind speeds can explain the majority of variation in surface water temperature (i.e., 31.4‒80.3% and 13.0‒21.0%, respectively). In contrast, in deeper lakes, change of air temperatures plays a dominant role in water warming (75.4‒91.2%). This study has emphasized the importance of declining wind speed in water warming in large and shallow lakes and illustrated a difference of dominant climatic drivers in water warming between the shallow and deep lakes.
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Affiliation(s)
- Jing Li
- School of Geographic and Environmental Sciences, Tianjin Normal University, Tianjin, 300387, China
- Tianjin Geospatial Information Technology Engineering Center, Tianjin Normal University, Tianjin, 300387, China
| | - Jingjing Sun
- School of Environmental Sciences and Engineering, Tianjin University, Tianjin, 300072, China
| | - Ruonan Wang
- Sichuan Ecological Environment Monitoring Station, Chengdu, 610074, China
| | - Tiejun Cui
- School of Geographic and Environmental Sciences, Tianjin Normal University, Tianjin, 300387, China
- Tianjin Geospatial Information Technology Engineering Center, Tianjin Normal University, Tianjin, 300387, China
| | - Yindong Tong
- School of Environmental Sciences and Engineering, Tianjin University, Tianjin, 300072, China.
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13
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Huang X, Ke F, Li Q, Zhao Y, Guan B, Li K. Functional traits underlying performance variations in the overwintering of the cosmopolitan invasive plant water hyacinth (
Eichhornia crassipes
) under climate warming and water drawdown. Ecol Evol 2022; 12:e9181. [PMID: 35949531 PMCID: PMC9353122 DOI: 10.1002/ece3.9181] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2022] [Revised: 07/05/2022] [Accepted: 07/19/2022] [Indexed: 11/22/2022] Open
Abstract
Reports of the Intergovernmental Panel on Climate Change (IPCC) indicate that temperature rise is still the general trend of the global climate in the 21st century. Invasive species may benefit from the increase in temperature, as climate can be viewed as a resource, and the increase in the available resources favors the invasibility of invasive species. This study aimed to assess the overwintering growth of the cosmopolitan invasive plant water hyacinth (Eichhornia crassipes) at its northern boundary. Using E. crassipes as a model plant, a cross‐year mesocosm experiment was conducted to determine 17 plant functional traits, including growth, morphological, root topological, photosynthetic, and stoichiometric traits, under climate warming (ambient, temperature rises of 1.5°C and 3.0°C), and water drawdown or water withdrawal (water depths of 1, 10, and 20 cm) treatments. The overwintering growth of E. crassipes was facilitated by climate warming and proper water drawdown, and climate warming played a leading role. A temperature rises of 3.0°C and a water depth of 10 cm were the most suitable conditions for the overwintering and rooting behavior of the plant. Controlling the temperature to within 1.5°C, an ambitious goal for China, still facilitated the overwintering of E. crassipes. With climate warming, the plant can overwinter successfully, which possibly assists it in producing and spreading new ramets in the vernal flood season. The new rooting behavior induced by ambient low temperature may be viewed as a unique growth adaptation strategy for a niche change, as it helps these plants invade empty niches left by dead free‐floating plants on the water surface following winter freezes. With continued global warming, the distribution of the plant may expand northward, and eradication of the plant during the winter water drawdown period may be a more effective strategy.
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Affiliation(s)
- Xiaolong Huang
- State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology Chinese Academy of Sciences Nanjing China
| | - Fan Ke
- State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology Chinese Academy of Sciences Nanjing China
| | - Qisheng Li
- State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology Chinese Academy of Sciences Nanjing China
| | - Yu Zhao
- State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology Chinese Academy of Sciences Nanjing China
| | - Baohua Guan
- State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology Chinese Academy of Sciences Nanjing China
| | - Kuanyi Li
- State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology Chinese Academy of Sciences Nanjing China
- Sino‐Danish College University of Chinese Academy of Sciences Beijing China
- College of Environmental and Chemical Engineering Chongqing Three Gorges University Wanzhou China
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14
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New Insights into Microbial Degradation of Cyanobacterial Organic Matter Using a Fractionation Procedure. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19126981. [PMID: 35742228 PMCID: PMC9222324 DOI: 10.3390/ijerph19126981] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/07/2022] [Revised: 05/31/2022] [Accepted: 06/01/2022] [Indexed: 02/06/2023]
Abstract
Cyanobacterial blooms caused by phytoplankton Microcystis have occurred successively since 1980 in Lake Taihu, China, which has led to difficulty collecting clean drinking water. The effects of cyanobacterial scum-derived dissolved organic matter (DOM) on microbial population variations and of algal-derived filtrate and algal residual exudative organic matter caused by the fraction procedure on nutrient mineralization are unclear. This study revealed the microbial-regulated transformation of DOM from a high-molecular-weight labile to a low-molecular-weight recalcitrant, which was characterized by three obvious stages. The bioavailability of DOM derived from cyanobacterial scum by lake microbes was investigated during 80-d dark degradation. Carbon substrates provided distinct growth strategy links to the free-living bacteria abundance variation, and this process was coupled with the regeneration of different forms of inorganic nutrients. The carryover effects of Microcystis cyanobacteria blooms can exist for a long time. We also found the transformation of different biological availability of DOM derived from two different cyanobacterial DOM fractions, which all coupled with the regeneration of different forms of inorganic nutrients. Our study provides new insights into the microbial degradation of cyanobacterial organic matter using a fractionation procedure, which suggests that the exudate and lysate from degradation products of cyanobacteria biomass have heterogeneous impacts on DOM cycling in aquatic environments.
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15
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Tong Y, Qi M, Sun P, Qin W, Zhu Y, Wang X, Xu Y, Zhang W, Yang J. Estimation of Unintended Treated Wastewater Contributions to Streams in the Yangtze River Basin and the Potential Human Health and Ecological Risk Analysis. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2022; 56:5590-5601. [PMID: 35427135 DOI: 10.1021/acs.est.1c02131] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
"Clean water and sanitation" is one of the United Nations Sustainable Development Goals. One primary objective of wastewater treatment is to remove contaminants such as pathogens, nutrient, and organic matter from wastewater, while not all contaminants could be removed effectively. Wastewater treatment plants would inevitably represent concentrated point sources of residual contaminant loadings into surface waters. This study focuses on the populated Yangtze River Basin where emerging contaminants are frequently detected in the rivers in the recent years. A python-based ArcGIS model is developed to estimate the contributions of effluent discharges in water supply sources and quantify fate and environmental risks of human-derived contaminants in the river network. We find that one-third of the river networks are potentially influenced by the effluents through local or upstream inputs. Average fraction of unintended wastewater reuse in water supply intakes is estimated to be lower than 3% under the average flow scenario with an average traveling time of 0.05 day from the nearest effluent input site to water supply intakes. However, under low flow scenario, the percentage of effluent discharge would increase largely, leading to substantial increases in human health and ecological risks. This study provides a systematic investigation to understand extents of impacts of effluent inputs in river networks as well as identify the opportunities to improve the water management in the densely populated regions.
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Affiliation(s)
- Yindong Tong
- School of Environmental Science and Engineering, Tianjin University, Tianjin 300350, China
| | - Miao Qi
- School of Environmental Science and Engineering, Tianjin University, Tianjin 300350, China
| | - Peizhe Sun
- School of Environmental Science and Engineering, Tianjin University, Tianjin 300350, China
| | - Wanxiao Qin
- School of Environmental Science and Engineering, Tianjin University, Tianjin 300350, China
| | - Ying Zhu
- School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Xuejun Wang
- College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
| | - Yanxue Xu
- Chinese Academy for Environmental Planning, Beijing 100012, China
| | - Wei Zhang
- School of Environment and Natural Resources, Renmin University of China, Beijing 100872, China
| | - Jingjing Yang
- Chinese Academy for Environmental Planning, Beijing 100012, China
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16
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Kim S, Park YH, Choi YE. Amination of Non-Functional Polyvinyl Chloride Polymer Using Polyethyleneimine for Removal of Phosphorus from Aqueous Solution. Polymers (Basel) 2022; 14:polym14091645. [PMID: 35566815 PMCID: PMC9104884 DOI: 10.3390/polym14091645] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2022] [Revised: 04/13/2022] [Accepted: 04/18/2022] [Indexed: 02/04/2023] Open
Abstract
The eutrophication of freshwater environments caused by an excess inflow of phosphorus has become a serious environmental issue because it is a crucial factor for the occurrence of harmful algal blooms (HABs) in essential water resources. The adsorptive removal of phosphorus from discharged phosphorus containing effluents has been recognized as one of the most promising solutions in the prevention of eutrophication. In the present study, a polyvinyl chloride (PVC)-polyethyleneimine (PEI) composite fiber (PEI-PVC) was suggested as a stable and recoverable adsorbent for the removal of phosphorus from aqueous phases. The newly introduced amine groups of the PEI-PVC were confirmed by a comparison between the FT-IR and XPS results of the PVC and PEI-PVC. The phosphorus sorption on the PEI-PVC was pH dependent. At the optimum pH for phosphorus adsorption (pH 5), the maximum adsorption capacity of the PEI-PVC fiber was estimated to be 11.2 times higher (19.66 ± 0.82 mg/g) than that of conventional activated carbon (1.75 ± 0.4 mg/g) using the Langmuir isotherm model. The phosphorus adsorption equilibrium of the PEI-PVC was reached within 30 min at pH 5. From the phosphorus-loaded PEI-PVC, 97.4% of the adsorbed amount of phosphorus on the PEI-PVC could be recovered by employing a desorption process using 1M HCl solution without sorbent destruction. The regenerated PEI-PVC through the desorption process maintained a phosphorus sorption capacity almost equal to that of the first use. In addition, consistently with the PVC fiber, the PEI-PVC fiber did not elute any toxic chlorines into the solution during light irradiation. Based on these results, the PEI-PVC fiber can be suggested as a feasible and stable adsorbent for phosphorus removal.
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Affiliation(s)
- Sok Kim
- Division of Environmental Science and Ecological Engineering, Korea University, Seoul 02841, Korea; (S.K.); (Y.H.P.)
- OJeong Resilience Institute, Korea University, Seoul 02841, Korea
| | - Yun Hwan Park
- Division of Environmental Science and Ecological Engineering, Korea University, Seoul 02841, Korea; (S.K.); (Y.H.P.)
| | - Yoon-E Choi
- Division of Environmental Science and Ecological Engineering, Korea University, Seoul 02841, Korea; (S.K.); (Y.H.P.)
- Correspondence:
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17
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Zhao Z, Zhang M, Tian J, Yu K, Chen Y, Wang Y. Occurrence and driving forces of different nitrogen forms in the sediments of the grass and algae-type zones of Taihu Lake. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:30114-30125. [PMID: 34997480 DOI: 10.1007/s11356-021-17784-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/11/2021] [Accepted: 11/23/2021] [Indexed: 06/14/2023]
Abstract
Excessive nitrogen (N) load in sediments is at risk of release resulting in the degradation of grass-type lake ecosystems. At present, the occurrence characteristics of N forms and the driving forces of organic N (ON) hydrolysis in the sediments of Taihu Lake were still unclear. Here, 52 sampling sites in 7 lake areas in Taihu Lake were investigated to compare the spatial occurrence characteristics of the sedimentary free N (FN), exchangeable N (EN), acid hydrolyzable N (HN), and residual N (RN) and their associated driving forces. The results showed that the total N contents in the dry sediment ranged from 1811.56 to 5594.06 mg kg-1, and the contribution was in the order of RN > HN > EN > FN. Spatially, RN and total organic carbon were significantly consistently influenced by dam construction and deposition algal residue. The HN concentration was high in the estuaries affected by N inputs from the rivers. The coupling relationship of spatial distribution between ON and N forms was revealed. The factors, i.e., algal residue deposition and terrigenous N inputs, were considered as the main driving forces stimulating the ON hydrolysis in the algae-type lake zones. It can be deduced that controlling terrigenous N inputs and sediment suspension may be the key to inhibiting the transformation from grass-type to algae-type lake ecosystem.
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Affiliation(s)
- Zihan Zhao
- School of Geography, Nanjing Normal University, Nanjing, 210023, People's Republic of China
| | - Mingli Zhang
- School of Geography, Nanjing Normal University, Nanjing, 210023, People's Republic of China.
| | - Jiaming Tian
- School of Geography, Nanjing Normal University, Nanjing, 210023, People's Republic of China
| | - Kangkang Yu
- School of Geography, Nanjing Normal University, Nanjing, 210023, People's Republic of China
| | - Yan Chen
- School of Geography, Nanjing Normal University, Nanjing, 210023, People's Republic of China
| | - Yanhua Wang
- School of Geography, Nanjing Normal University, Nanjing, 210023, People's Republic of China.
- Key Laboratory of Virtual Geographic Environment, Ministry of Education, Nanjing Normal University, 210023, Nanjing, People's Republic of China.
- Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing, 210023, People's Republic of China.
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18
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A Classification-Based Machine Learning Approach to the Prediction of Cyanobacterial Blooms in Chilgok Weir, South Korea. WATER 2022. [DOI: 10.3390/w14040542] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
Cyanobacterial blooms appear by complex causes such as water quality, climate, and hydrological factors. This study aims to present the machine learning models to predict occurrences of these complicated cyanobacterial blooms efficiently and effectively. The dataset was classified into groups consisting of two, three, or four classes based on cyanobacterial cell density after a week, which was used as the target variable. We developed 96 machine learning models for Chilgok weir using four classification algorithms: k-Nearest Neighbor, Decision Tree, Logistic Regression, and Support Vector Machine. In the modeling methodology, we first selected input features by applying ANOVA (Analysis of Variance) and solving a multi-collinearity problem as a process of feature selection, which is a method of removing irrelevant features to a target variable. Next, we adopted an oversampling method to resolve the problem of having an imbalanced dataset. Consequently, the best performance was achieved for models using datasets divided into two classes, with an accuracy of 80% or more. Comparatively, we confirmed low accuracy of approximately 60% for models using datasets divided into three classes. Moreover, while we produced models with overall high accuracy when using logCyano (logarithm of cyanobacterial cell density) as a feature, several models in combination with air temperature and NO3-N (nitrate nitrogen) using two classes also demonstrated more than 80% accuracy. It can be concluded that it is possible to develop very accurate classification-based machine learning models with two features related to cyanobacterial blooms. This proved that we could make efficient and effective models with a low number of inputs.
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19
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Zhou C, Peng Y, Yu M, Deng Y, Chen L, Zhang L, Xu X, Zhang S, Yan Y, Wang G. Severe cyanobacteria accumulation potentially induces methylotrophic methane producing pathway in eutrophic lakes. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2022; 292:118443. [PMID: 34728323 DOI: 10.1016/j.envpol.2021.118443] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Revised: 10/08/2021] [Accepted: 10/28/2021] [Indexed: 06/13/2023]
Abstract
Although cyanobacteria blooms lead to an increase in methane (CH4) emissions in eutrophic lakes have been intensively studied, the methane production pathways and driving mechanisms of the associated CH4 emissions are still unclear. In this study, the hypereutrophic Lake Taihu, which has extreme cyanobacteria accumulation, was selected to test hypothesis of a potential methylotrophic CH4 production pathway. Field observation displayed that the CH4 emission flux from the area with cyanobacteria accumulation was 867.01 μg m-2·min-1, much higher than the flux of 3.44 μg m-2·min-1 in the non-cyanobacteria accumulation area. The corresponding abundance of methane-producing archaea (MPA) in the cyanobacteria-concentrated area was 77.33% higher than that in the non-concentrated area via RT-qPCR technologies. Synchronously, sediments from these areas were incubated in anaerobic bottles, and results exhibited the high CH4 emission potential of the cyanobacteria concentrated area versus the non-concentrated area (1199.26 vs. 205.76 μmol/L) and more active biological processes (CO2 emission, 2072.8 vs. -714.62 μmol/L). We also found evidence for the methylotrophic methane producing pathway, which contributed to the high CH4 emission flux from the cyanobacteria accumulation area. Firstly, cyanobacteria decomposition provided the prerequisite of abundant methyl thioether substances, including DMS, DMDS, and DMTS. Results showed that the content of methyl thioethers increased with the biomass of cyanobacteria, and the released DMS, DMDS, and DMTS was up to 96.35, 3.22 and 13.61 μg/L, respectively, in the highly concentrated 25000 g/cm3 cyanobacteria treatment. Then, cyanobacteria decomposition created anaerobic microenvironments (DO 0.06 mg/L and Eh -304.8Mv) for methylotrophic methane production. Lastly, the relative abundance of Methanosarcinales was increased from 7.67% at the initial stage to 36.02% at the final stage within a sediment treatment with 10 mmol/L N(CH3)3. Quantitatively, the proportion of the methylotrophic methane production pathway was as high as 32.58%. This finding is crucial for accurately evaluating the methane emission flux, and evaluating future management strategies of eutrophic lakes.
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Affiliation(s)
- Chuanqiao Zhou
- School of Environment, Nanjing Normal University, Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Jiangsu Key Laboratory of Environmental Change and Ecological Construction, Nanjing, 210023, China
| | - Yu Peng
- School of Environment, Nanjing Normal University, Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Jiangsu Key Laboratory of Environmental Change and Ecological Construction, Nanjing, 210023, China
| | - Miaotong Yu
- School of Environment, Nanjing Normal University, Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Jiangsu Key Laboratory of Environmental Change and Ecological Construction, Nanjing, 210023, China
| | - Yang Deng
- School of Environment, Nanjing Normal University, Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Jiangsu Key Laboratory of Environmental Change and Ecological Construction, Nanjing, 210023, China
| | - Li Chen
- School of Environment, Nanjing Normal University, Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Jiangsu Key Laboratory of Environmental Change and Ecological Construction, Nanjing, 210023, China
| | - Lanqing Zhang
- School of Environment, Nanjing Normal University, Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Jiangsu Key Laboratory of Environmental Change and Ecological Construction, Nanjing, 210023, China
| | - Xiaoguang Xu
- School of Environment, Nanjing Normal University, Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Jiangsu Key Laboratory of Environmental Change and Ecological Construction, Nanjing, 210023, China.
| | - Siyuan Zhang
- School of Environment, Nanjing Normal University, Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Jiangsu Key Laboratory of Environmental Change and Ecological Construction, Nanjing, 210023, China
| | - Yan Yan
- Jiangsu Provincial Academy of Environmental Science, Nanjing, 210036, China
| | - Guoxiang Wang
- School of Environment, Nanjing Normal University, Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Jiangsu Key Laboratory of Environmental Change and Ecological Construction, Nanjing, 210023, China
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20
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Comparing Wetland Ecosystems Service Provision under Different Management Approaches: Two Cases Study of Tianfu Wetland and Nansha Wetland in China. SUSTAINABILITY 2021. [DOI: 10.3390/su13168710] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
The largest blue-green infrastructures in industrialized, urbanized and developed regions in China are often multiuse wetlands, located just outside growing urban centers. These areas have multiple development pressures while providing environmental, economic, and social benefits to the local and regional populations. Given the limited information available about the tradeoffs in ecosystem services with respect to competing wetland uses, wetland managers and provincial decision makers face challenges in regulating the use of these important landscapes. In the present study, measurements made by citizen scientists were used to support a comparative study of water quality and wetland functions in two large multiuse wetlands, comparing areas of natural wetland vegetation, tourism-based wetland management and wetland agriculture. The study sites, the Nansha and Tianfu wetlands, are located in two of the most urbanized areas of China: the lower Yangtze River and Pearl River catchments, respectively. Our results indicated that the capacity of wetlands to mitigate water quality is closely related to the quality of the surrounding waters and hydrological conditions. Agricultural areas in both wetlands provided the lowest sediment and nutrient retention. The results show that the delivery of supporting ecosystem services is strongly influenced by the location and use of the wetland. Furthermore, we show that citizen scientist-acquired data can provide fundamental information on quantifying these ecosystem services, providing needed information to wetland park managers and provincial wetland administrators.
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21
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Tanvir RU, Zhang J, Canter T, Chen D, Lu J, Hu Z. Harnessing Solar Energy using Phototrophic Microorganisms: A Sustainable Pathway to Bioenergy, Biomaterials, and Environmental Solutions. RENEWABLE & SUSTAINABLE ENERGY REVIEWS 2021; 146:1-111181. [PMID: 34526853 PMCID: PMC8437043 DOI: 10.1016/j.rser.2021.111181] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/27/2023]
Abstract
Phototrophic microorganisms (microbial phototrophs) use light as an energy source to carry out various metabolic processes producing biomaterials and bioenergy and supporting their own growth. Among them, microalgae and cyanobacteria have been utilized extensively for bioenergy, biomaterials, and environmental applications. Their superior photosynthetic efficiency, lipid content, and shorter cultivation time compared to terrestrial biomass make them more suitable for efficient production of bioenergy and biomaterials. Other phototrophic microorganisms, especially anoxygenic phototrophs, demonstrated the ability to survive and flourish while producing renewable energy and high-value products under harsh environmental conditions. This review presents a comprehensive overview of microbial phototrophs on their (i) production of bioenergy and biomaterials, (ii) emerging and innovative applications for environmental conservation, mitigation, and remediation, and (iii) physical, genetic, and metabolic pathways to improve light harvesting and biomass/biofuel/biomaterial production. Both physical (e.g., incremental irradiation) and genetic approaches (e.g., truncated antenna) are implemented to increase the light-harvesting efficiency. Increases in biomass yield and metabolic products are possible through the manipulation of metabolic pathways and selection of a proper strain under optimal cultivation conditions and downstream processing, including harvesting, extraction, and purification. Finally, the current barriers in harnessing solar energy using phototrophic microorganisms are presented, and future research perspectives are discussed, such as integrating phototrophic microorganisms with emerging technologies.
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Affiliation(s)
- Rahamat Ullah Tanvir
- Department of Civil and Environmental Engineering, University of Missouri, Columbia, Missouri, 65211, USA
| | - Jianying Zhang
- College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, China
| | - Timothy Canter
- Department of Civil and Environmental Engineering, University of Missouri, Columbia, Missouri, 65211, USA
| | - Dick Chen
- Dual Enrollment Program, University of Missouri, Columbia, Missouri, 65211, USA
| | - Jingrang Lu
- Office of Research and Development, United States Environmental Protection Agency (EPA), Cincinnati, Ohio, 45268, USA
| | - Zhiqiang Hu
- Department of Civil and Environmental Engineering, University of Missouri, Columbia, Missouri, 65211, USA
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22
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Tong X, You L, Zhang J, Chen H, Nguyen VT, He Y, Gin KYH. A comprehensive modelling approach to understanding the fate, transport and potential risks of emerging contaminants in a tropical reservoir. WATER RESEARCH 2021; 200:117298. [PMID: 34102387 DOI: 10.1016/j.watres.2021.117298] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Revised: 04/28/2021] [Accepted: 05/24/2021] [Indexed: 06/12/2023]
Abstract
We developed a comprehensive integrated water quality modeling approach towards a better understanding of the fate and transport of emerging contaminants and comprehensive assessment of their potential risks in a tropical reservoir. Two representative emerging contaminants, namely Bisphenol A (BPA) and N, N-diethyltoluamide (DEET), were selected for this study. Unlike the traditional water quality modeling approach, the target emerging contaminants were modelled in four multi-compartments and coupled to a 3D-dimensional eutrophication model to investigate their interactions with other water quality state variables. First, the integrated model was calibrated and validated in four multi-compartments against an observed dataset in 2014. Subsequently, the correlation analysis between emerging contaminants and general water quality parameters were conducted. The potential ecological risks in this reservoir were also assessed via the trophic state index (TSI) and coupled to a species sensitivity distribution (SSD)-Risk Quotient (RQ) method. Finally, the model was applied to describe the dynamics of the two emerging contaminants and examine the direct and indirect influences of other environmental factors on their multi-compartment distributions in the aquatic environment. The comprehensive approach provides new insights into dynamic modeling of the fate and transport of emerging contaminants, their interactions with other state variables as well as an assessment of their potential risks in aquatic ecosystems.
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Affiliation(s)
- Xuneng Tong
- Department of Civil & Environmental Engineering, National University of Singapore, 1 Engineering Drive 2, Singapore 117576, Singapore
| | - Luhua You
- NUS Environmental Research Institute, National University of Singapore, 1 Create way, Create Tower, #15-02, Singapore 138602, Singapore
| | - Jingjie Zhang
- NUS Environmental Research Institute, National University of Singapore, 1 Create way, Create Tower, #15-02, Singapore 138602, Singapore; Shenzhen Municipal Engineering Lab of Environmental IoT Technologies, Southern University of Science and Technology, Shenzhen, 518055, China; Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China.
| | - Huiting Chen
- NUS Environmental Research Institute, National University of Singapore, 1 Create way, Create Tower, #15-02, Singapore 138602, Singapore
| | - Viet Tung Nguyen
- PUB, Singapore's national water agency, 40 Scotts Road #22-01, Environment Building, Singapore 228231, Singapore
| | - Yiliang He
- School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Karina Yew-Hoong Gin
- Department of Civil & Environmental Engineering, National University of Singapore, 1 Engineering Drive 2, Singapore 117576, Singapore; NUS Environmental Research Institute, National University of Singapore, 1 Create way, Create Tower, #15-02, Singapore 138602, Singapore.
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