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Wan W, Grossart HP, Zhang W, Xiong X, Yuan W, Liu W, Yang Y. Lake ecological restoration of vegetation removal mitigates algal blooms and alters landscape patterns of water and sediment bacteria. WATER RESEARCH 2024; 267:122516. [PMID: 39357161 DOI: 10.1016/j.watres.2024.122516] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/30/2024] [Revised: 09/20/2024] [Accepted: 09/23/2024] [Indexed: 10/04/2024]
Abstract
Elucidating the influences of ecological restoration measure of lakeshore vegetation removal on water quality and biological community is an important but underestimated subject. We adopted molecular and statistical tools to estimate ecological restoration performance in a plateau lake receiving vegetation removal and simultaneously investigated variabilities of bacterial communities in water and sediment. Significant decreases in lake trophic level and algal bloom degree followed notable decreases in water total nitrogen and total phosphorus after vegetation removal. Non-significant changes in sediment nutrients accompanied remarkable variabilities of abundance and composition of nutrient-cycling functional genes (NCFGs) of sediment bacteria. Taxonomic and phylogenetic α-diversities, functional redundancies, and dispersal potentials of bacteria in water and sediment decreased after vegetation removal, and community successions of water and sediment bacteria were separately significant and non-significant. There were opposite changes in ecological attributes of bacteria in water and sediment in response to vegetation removal, including niche breadth, species replacement, richness difference, community complexity, and community stability. Species replacement rather than richness difference affected more on taxonomic β-diversities of bacteria in water and sediment before and after vegetation removal, and determinism rather than stochasticity dominated bacterial community assemblage. Our results highlighted vegetation removal mitigated algal bloom and affected differently on landscapes of water and sediment bacteria. These findings point to dominant ecological mechanisms underlying landscape shifts in water and sediment bacteria in a disturbed lake receiving vegetation removal and have the potential to guide lake ecological restoration.
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Affiliation(s)
- Wenjie Wan
- Key Laboratory of Aquatic Botany and Watershed Ecology Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan 430070, China; Hubei Key Laboratory of Wetland Evolution & Ecological Restoration, Chinese Academy of Science Wuhan Botanical Garden, Wuhan 430070, China; Danjiangkou Wetland Ecosystem Field Scientific Observation and Research Station, Chinese Academy of Sciences & Hubei Province, Wuhan 430070, China; Key Laboratory of Lake and Watershed Science for Water Security, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China
| | - Hans-Peter Grossart
- Leibniz-Institute of Freshwater Ecology and Inland Fisheries (IGB), Dept. Plankton and Microbial Ecology, Zur Alten Fischerrhütte 2, D-16775 Stechlin, Germany; University of Potsdam, Institute of Biochemistry and Biology, Maulbeerallee 2, D-14469 Potsdam, Germany
| | - Weihong Zhang
- Key Laboratory of Aquatic Botany and Watershed Ecology Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan 430070, China; Hubei Key Laboratory of Wetland Evolution & Ecological Restoration, Chinese Academy of Science Wuhan Botanical Garden, Wuhan 430070, China; Danjiangkou Wetland Ecosystem Field Scientific Observation and Research Station, Chinese Academy of Sciences & Hubei Province, Wuhan 430070, China; Key Laboratory of Lake and Watershed Science for Water Security, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China
| | - Xiang Xiong
- Key Laboratory of Aquatic Botany and Watershed Ecology Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan 430070, China; Hubei Key Laboratory of Wetland Evolution & Ecological Restoration, Chinese Academy of Science Wuhan Botanical Garden, Wuhan 430070, China; Danjiangkou Wetland Ecosystem Field Scientific Observation and Research Station, Chinese Academy of Sciences & Hubei Province, Wuhan 430070, China; Key Laboratory of Lake and Watershed Science for Water Security, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China
| | - Wenke Yuan
- Key Laboratory of Aquatic Botany and Watershed Ecology Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan 430070, China; Hubei Key Laboratory of Wetland Evolution & Ecological Restoration, Chinese Academy of Science Wuhan Botanical Garden, Wuhan 430070, China; Danjiangkou Wetland Ecosystem Field Scientific Observation and Research Station, Chinese Academy of Sciences & Hubei Province, Wuhan 430070, China; Key Laboratory of Lake and Watershed Science for Water Security, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China
| | - Wenzhi Liu
- Key Laboratory of Aquatic Botany and Watershed Ecology Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan 430070, China; Hubei Key Laboratory of Wetland Evolution & Ecological Restoration, Chinese Academy of Science Wuhan Botanical Garden, Wuhan 430070, China; Danjiangkou Wetland Ecosystem Field Scientific Observation and Research Station, Chinese Academy of Sciences & Hubei Province, Wuhan 430070, China; Key Laboratory of Lake and Watershed Science for Water Security, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China
| | - Yuyi Yang
- Key Laboratory of Aquatic Botany and Watershed Ecology Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan 430070, China; Hubei Key Laboratory of Wetland Evolution & Ecological Restoration, Chinese Academy of Science Wuhan Botanical Garden, Wuhan 430070, China; Danjiangkou Wetland Ecosystem Field Scientific Observation and Research Station, Chinese Academy of Sciences & Hubei Province, Wuhan 430070, China; Key Laboratory of Lake and Watershed Science for Water Security, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China.
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2
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Zi F, Song T, Liu J, Wang H, Serekbol G, Yang L, Hu L, Huo Q, Song Y, Huo B, Wang B, Chen S. Environmental and Climatic Drivers of Phytoplankton Communities in Central Asia. BIOLOGY 2024; 13:717. [PMID: 39336144 PMCID: PMC11428709 DOI: 10.3390/biology13090717] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/09/2024] [Revised: 09/06/2024] [Accepted: 09/10/2024] [Indexed: 09/30/2024]
Abstract
Artificial water bodies in Central Asia offer unique environments in which to study plankton diversity influenced by topographic barriers. However, the complexity of these ecosystems and limited comprehensive studies in the region challenge our understanding. In this study, we systematically investigated the water environment parameters and phytoplankton community structure by surveying 14 artificial waters on the southern side of the Altai Mountains and the northern and southern sides of the Tianshan Mountains in the Xinjiang region. The survey covered physical and nutrient indicators, and the results showed noticeable spatial differences between waters in different regions. The temperature, dissolved oxygen, total nitrogen, and total phosphorus of artificial water in the southern Altai Mountains vary greatly. In contrast, the waters in the northern Tianshan Mountains have more consistent physical indicators. The results of phytoplankton identification showed that the phytoplankton communities in different regions are somewhat different, with diatom species being the dominant taxon. The cluster analysis and the non-metric multidimensional scaling (NMDS) results also confirmed the variability of the phytoplankton communities in the areas. The variance partitioning analysis (VPA) results showed that climatic and environmental factors can explain some of the variability of the observed data. Nevertheless, the residual values indicated the presence of other unmeasured factors or the influence of stochasticity. This study provides a scientific basis for regional water resource management and environmental protection.
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Affiliation(s)
- Fangze Zi
- College of Life Sciences and Technology, Tarim Research Center of Rare Fishes, Tarim University, Alar 843300, China
| | - Tianjian Song
- College of Water Sciences, Beijing Normal University, Beijing 100875, China
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Jiaxuan Liu
- College of Life Sciences and Technology, Tarim Research Center of Rare Fishes, Tarim University, Alar 843300, China
| | - Huanhuan Wang
- College of Life Sciences and Technology, Tarim Research Center of Rare Fishes, Tarim University, Alar 843300, China
| | - Gulden Serekbol
- College of Life Sciences and Technology, Tarim Research Center of Rare Fishes, Tarim University, Alar 843300, China
| | - Liting Yang
- College of Life Sciences and Technology, Tarim Research Center of Rare Fishes, Tarim University, Alar 843300, China
| | - Linghui Hu
- College of Life Sciences and Technology, Tarim Research Center of Rare Fishes, Tarim University, Alar 843300, China
| | - Qiang Huo
- College of Life Sciences and Technology, Tarim Research Center of Rare Fishes, Tarim University, Alar 843300, China
| | - Yong Song
- College of Life Sciences and Technology, Tarim Research Center of Rare Fishes, Tarim University, Alar 843300, China
| | - Bin Huo
- College of Fisheries, Huazhong Agricultural University, Wuhan 430070, China
| | - Baoqiang Wang
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China
| | - Shengao Chen
- College of Life Sciences and Technology, Tarim Research Center of Rare Fishes, Tarim University, Alar 843300, China
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Li H, Tian S, Shang F, Shi X, Zhang Y, Cao Y. Impacts of oxbow lake evolution on sediment microbial community structure in the Yellow River source region. ENVIRONMENTAL RESEARCH 2024; 252:119042. [PMID: 38692420 DOI: 10.1016/j.envres.2024.119042] [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: 03/01/2024] [Revised: 04/26/2024] [Accepted: 04/27/2024] [Indexed: 05/03/2024]
Abstract
Oxbow lake formation and evolution have significant impacts on the fragile Yellow River Basin ecosystem. However, the effects of different oxbow lake evolutionary stages on sediment microbial community structure are not yet understood comprehensively. Therefore, microbial community structure in three stages of oxbow lake succession, namely, lotic lake (early stage), semi-lotic lake (middle stage), and lentic lake (late stage), was investigated in the present study in the Yellow River Basin on the Qinghai-Tibet Plateau. Amplicon sequencing was employed to reveal differences in microbial community diversity and composition. The bacterial and fungal communities in sediment were significantly different among the three succession stages and were driven by different environmental factors. In particular, bacterial community structure was influenced primarily by nitrate-nitrogen (N), microbial biomass phosphorus, and total carbon (C) and organic C in the early, middle, and late stages, respectively. Conversely, fungal community structure was influenced primarily by ammonium-N in the early stage and by moisture content in the middle and late stages. However, the predicted functions of the microbial communities did not exhibit significant differences across the three succession stages. Both bacteria and fungi were influenced significantly by stochastic factors. Homogeneous selection had a high relative contribution to bacteria community assembly in the middle stage, whereas the relative contributions of heterogeneous selection processes to fungal community assembly increased through the three stages. As succession time increased, the total number of keystone species increased gradually, and the late succession stage had high network complexity and the highest network stability. The findings could facilitate further elucidation of the evolution mechanisms of oxbow lake source area, high-altitude river evolution dynamics, in addition to aiding a deeper understanding of the long-term ecological evolution patterns of source river ecosystems.
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Affiliation(s)
- Huinan Li
- School of Life Sciences, Henan University, Kaifeng, Henan, 475004, China
| | - Shimin Tian
- Yellow River Institute of Hydraulic Research, Henan Key Laboratory of Ecological Environment Protection and Restoration of Yellow River Basin, YRCC, Zhengzhou, 450003, China.
| | - Fude Shang
- School of Life Sciences, Henan University, Kaifeng, Henan, 475004, China.
| | - Xiaoyu Shi
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, Henan, 475004, China
| | - Yang Zhang
- Yellow River Institute of Hydraulic Research, Henan Key Laboratory of Ecological Environment Protection and Restoration of Yellow River Basin, YRCC, Zhengzhou, 450003, China
| | - Yongtao Cao
- Yellow River Institute of Hydraulic Research, Henan Key Laboratory of Ecological Environment Protection and Restoration of Yellow River Basin, YRCC, Zhengzhou, 450003, China
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Kang L, Zhu M, Zhu G, Xu H, Zou W, Xiao M, Guo C, Zhang Y, Qin B. Decreasing denitrification rates poses a challenge to further decline of nitrogen concentration in Lake Taihu, China. WATER RESEARCH 2024; 256:121565. [PMID: 38581985 DOI: 10.1016/j.watres.2024.121565] [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: 01/02/2024] [Revised: 02/29/2024] [Accepted: 04/01/2024] [Indexed: 04/08/2024]
Abstract
Nitrogen (N) concentrations in many lakes have decreased substantially in recent years due to external load reduction to mitigate harmful algal blooms. However, little attention has been paid to the linkage between the lakes' nitrogen removal efficiency and improved water quality in lakes, especially the variation of denitrification rate (DNR) under decreasing N concentrations. To understand the efficiency of N removal under improving water quality and its influence on the N control targets in Lake Taihu, a denitrification model based on in situ experimental results was developed and long-term (from 2007 to 2022) water quality and meteorological observations were used to estimate DNR and relate it to the amount of N removal (ANR) from the lake. The concentration of total nitrogen (TN) in Lake Taihu decreased from 3.28 mg L-1 to 1.41 mg L-1 from 2007 to 2022 but the reduction showed spatial heterogeneity. The annual mean DNR decreased from 45.6 μmol m-2 h-1 to 4.2 μmol m-2 h-1, and ANR decreased from 11.85×103 t yr-1 to 1.17×103 t yr-1 during the study years. N budget analysis suggested that the amount of N removed by denitrification accounted for 23.3 % of the external load in 2007, but decreased to only 4.0 % in 2022. Thus, the contribution of N removal by internal N cycling decreased significantly as water quality improved. Notably, the proportion of ANR in winter to total ANR increased from 14 % in 2007 to 23 % in 2022 due to warming. This could potentially lead to N deficiencies in spring and summer, thus limiting the availability of N to phytoplankton. A TN concentration of less than 1.0 mg L-1 in the lake and 1.5 mg L-1 in the inflowing lake zones in spring contribute to local N-limitation in Lake Taihu for cyanobacteria control. Our study revealed a general pattern that N removal efficiency decreases with improved water quality, which is instructive for eutrophic lakes in nitrogen management.
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Affiliation(s)
- Lijuan Kang
- State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, PR China; University of Chinese Academy of Sciences, Beijing 100049, PR China
| | - Mengyuan Zhu
- State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, PR China
| | - Guangwei Zhu
- State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, PR China; University of Chinese Academy of Sciences, Beijing 100049, PR China.
| | - Hai Xu
- State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, PR China
| | - Wei Zou
- State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, PR China
| | - Man Xiao
- State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, PR China
| | - Chaoxuan Guo
- State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, PR China
| | - Yunlin Zhang
- State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, PR China
| | - Boqiang Qin
- State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, PR China
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5
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Guo H, Huang JJ, Zhu X, Tian S, Wang B. Spatiotemporal variation reconstruction of total phosphorus in the Great Lakes since 2002 using remote sensing and deep neural network. WATER RESEARCH 2024; 255:121493. [PMID: 38547788 DOI: 10.1016/j.watres.2024.121493] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Revised: 02/18/2024] [Accepted: 03/18/2024] [Indexed: 04/24/2024]
Abstract
Total phosphorus (TP) is non-optically active, thus TP concentration (CTP) estimation using remote sensing still exists grand challenge. This study developed a deep neural network model (DNN) for CTP estimation with synchronous in-situ measurements and MODIS-derived remote sensing reflectance (Rrs) (N = 3916). Using DNN, the annual and intra-annual CTP spatial distributions of the Great Lakes since 2002 were reconstructed. Then, the reconstructions were correlated to nine potential factors, e.g., Chlorophyll-a, snowmelt, and cropland, to explain seasonal and long-term CTP variations. The results showed that DNN reliably estimated CTP from MODIS Rrs, with R2, mean absolute error (MAE), root mean squared error (RMSE), mean absolute percentage error (MAPE), and root mean squared logarithmic error (RMSLE) of 0.83, 1.05 μg/L, 2.95 μg/L, 9.92%, and 0.13 on the test set. The near-surface CTP in the Great Lakes decreased significantly (p < 0.05) during 2002 - 2022, primarily attributed to cropland reduction, coupled with improvements in basin natural ecosystems. The sensitivity analysis verified the model robustness when confronted with input feature changes < 35%. This result along with the marginal difference between CTP derived from two sensors (R2 = 0.76, MAE = 2.12 μg/L, RMSE = 2.51 μg/L, MAPE = 11.52%, RMSLE = 0.24) suggested the model transferability from MODIS to VIIRS. This transformation facilitated optimal usage of MODIS-related archive and enhanced the continuity of CTP estimation at moderate resolution. This study presents a practical method for spatiotemporal reconstruction of CTP using remote sensing, and contributes to better understandings of driving factors behind CTP variations in the Great Lakes.
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Affiliation(s)
- Hongwei Guo
- School of Geographic Information and Tourism, Chuzhou University, Chuzhou, 239099, Anhui, China; College of Environmental Science and Engineering/Sino-Canada Joint R&D Centre for Water and Environmental Safety, Nankai University, Tianjin, 300457, China
| | - Jinhui Jeanne Huang
- College of Environmental Science and Engineering/Sino-Canada Joint R&D Centre for Water and Environmental Safety, Nankai University, Tianjin, 300457, China.
| | - Xiaotong Zhu
- College of Environmental Science and Engineering/Sino-Canada Joint R&D Centre for Water and Environmental Safety, Nankai University, Tianjin, 300457, China
| | - Shang Tian
- Key Laboratory for Water and Sediment Sciences, Ministry of Education, College of Environmental Sciences and Engineering, Peking University, Beijing, 100871, China
| | - Benlin Wang
- School of Geographic Information and Tourism, Chuzhou University, Chuzhou, 239099, Anhui, China
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6
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Hu Y, Chen M, Pu J, Chen S, Li Y, Zhang H. Enhancing phosphorus source apportionment in watersheds through species-specific analysis. WATER RESEARCH 2024; 253:121262. [PMID: 38367374 DOI: 10.1016/j.watres.2024.121262] [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: 10/21/2023] [Revised: 01/29/2024] [Accepted: 02/03/2024] [Indexed: 02/19/2024]
Abstract
Phosphorus (P) is a pivotal element responsible for triggering watershed eutrophication, and accurate source apportionment is a prerequisite for achieving the targeted prevention and control of P pollution. Current research predominantly emphasizes the allocation of total phosphorus (TP) loads from watershed pollution sources, with limited integration of source apportionment considering P species and their specific implications for eutrophication. This article conducts a retrospective analysis of the current state of research on watershed P source apportionment models, providing a comprehensive evaluation of three source apportionment methods, inventory analysis, diffusion models, and receptor models. Furthermore, a quantitative analysis of the impact of P species on watersheds is carried out, followed by the relationship between P species and the P source apportionment being critically clarified within watersheds. The study reveals that the impact of P on watershed eutrophication is highly dependent on P species, rather than absolute concentration of TP. Current research overlooking P species composition of pollution sources may render the acquired results of source apportionment incapable of assessing the impact of P sources on eutrophication accurately. In order to enhance the accuracy of watershed P pollution source apportionment, the following prospectives are recommended: (1) quantifying the P species composition of typical pollution sources; (2) revealing the mechanisms governing the migration and transformation of P species in watersheds; (3) expanding the application of traditional models and introducing novel methods to achieve quantitative source apportionment specifically for P species. Conducting source apportionment of specific species within a watershed contributes to a deeper understanding of P migration and transformation, enhancing the precise of management of P pollution sources and facilitating the targeted recovery of P resources.
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Affiliation(s)
- Yuansi Hu
- Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, China
| | - Mengli Chen
- Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, China
| | - Jia Pu
- Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, China.
| | - Sikai Chen
- Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, China
| | - Yao Li
- Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, China
| | - Han Zhang
- Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, China.
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7
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Lewis ASL, Lau MP, Jane SF, Rose KC, Be'eri-Shlevin Y, Burnet SH, Clayer F, Feuchtmayr H, Grossart HP, Howard DW, Mariash H, Delgado Martin J, North RL, Oleksy I, Pilla RM, Smagula AP, Sommaruga R, Steiner SE, Verburg P, Wain D, Weyhenmeyer GA, Carey CC. Anoxia begets anoxia: A positive feedback to the deoxygenation of temperate lakes. GLOBAL CHANGE BIOLOGY 2024; 30:e17046. [PMID: 38273535 DOI: 10.1111/gcb.17046] [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: 07/18/2023] [Revised: 11/01/2023] [Accepted: 11/05/2023] [Indexed: 01/27/2024]
Abstract
Declining oxygen concentrations in the deep waters of lakes worldwide pose a pressing environmental and societal challenge. Existing theory suggests that low deep-water dissolved oxygen (DO) concentrations could trigger a positive feedback through which anoxia (i.e., very low DO) during a given summer begets increasingly severe occurrences of anoxia in following summers. Specifically, anoxic conditions can promote nutrient release from sediments, thereby stimulating phytoplankton growth, and subsequent phytoplankton decomposition can fuel heterotrophic respiration, resulting in increased spatial extent and duration of anoxia. However, while the individual relationships in this feedback are well established, to our knowledge, there has not been a systematic analysis within or across lakes that simultaneously demonstrates all of the mechanisms necessary to produce a positive feedback that reinforces anoxia. Here, we compiled data from 656 widespread temperate lakes and reservoirs to analyze the proposed anoxia begets anoxia feedback. Lakes in the dataset span a broad range of surface area (1-126,909 ha), maximum depth (6-370 m), and morphometry, with a median time-series duration of 30 years at each lake. Using linear mixed models, we found support for each of the positive feedback relationships between anoxia, phosphorus concentrations, chlorophyll a concentrations, and oxygen demand across the 656-lake dataset. Likewise, we found further support for these relationships by analyzing time-series data from individual lakes. Our results indicate that the strength of these feedback relationships may vary with lake-specific characteristics: For example, we found that surface phosphorus concentrations were more positively associated with chlorophyll a in high-phosphorus lakes, and oxygen demand had a stronger influence on the extent of anoxia in deep lakes. Taken together, these results support the existence of a positive feedback that could magnify the effects of climate change and other anthropogenic pressures driving the development of anoxia in lakes around the world.
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Affiliation(s)
- Abigail S L Lewis
- Department of Biological Sciences, Virginia Tech, Blacksburg, Virginia, USA
| | - Maximilian P Lau
- Interdisciplinary Environmental Research Centre, Technical University of Mining and Resources Freiberg, Freiberg, Germany
| | - Stephen F Jane
- Department of Natural Resources and the Environment and Cornell Atkinson Center for Sustainability, Cornell University, Ithaca, New York, USA
| | - Kevin C Rose
- Department of Biological Sciences, Rensselaer Polytechnic Institute, Troy, New York, USA
| | - Yaron Be'eri-Shlevin
- The Kinneret Limnological Laboratory, Israel Oceanographic and Limnological Research, Migdal, Israel
| | - Sarah H Burnet
- Department of Fish and Wildlife Sciences, University of Idaho, Moscow, Idaho, USA
| | | | | | - Hans-Peter Grossart
- Department of Plankton and Microbial Ecology, Leibniz Institute of Freshwater Ecology and Inland Fisheries (IGB), Stechlin, Germany
- Department of Biochemistry and Biology, Potsdam University, Potsdam, Germany
| | - Dexter W Howard
- Department of Biological Sciences, Virginia Tech, Blacksburg, Virginia, USA
| | - Heather Mariash
- Prince Albert National Park, Parks Canada, Saskatchewan, Canada
| | | | - Rebecca L North
- School of Natural Resources, University of Missouri-Columbia, Columbia, Missouri, USA
| | - Isabella Oleksy
- Institute of Arctic and Alpine Research, University of Colorado, Boulder, Colorado, USA
| | - Rachel M Pilla
- Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA
| | - Amy P Smagula
- New Hampshire Department of Environmental Services, Concord, New Hampshire, USA
| | - Ruben Sommaruga
- Department of Ecology, Universität Innsbruck, Innsbruck, Austria
| | - Sara E Steiner
- New Hampshire Department of Environmental Services, Concord, New Hampshire, USA
| | - Piet Verburg
- National Institute of Water and Atmospheric Research, Wellington, New Zealand
| | | | - Gesa A Weyhenmeyer
- Department of Ecology and Genetics/Limnology, Uppsala University, Uppsala, Sweden
| | - Cayelan C Carey
- Department of Biological Sciences, Virginia Tech, Blacksburg, Virginia, USA
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8
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Zawiska I, Jasiewicz J, Rzodkiewicz M, Woszczyk M. Relative impact of environmental variables on the lake trophic state highlights the complexity of eutrophication controls. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2023; 345:118679. [PMID: 37536128 DOI: 10.1016/j.jenvman.2023.118679] [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: 04/24/2023] [Revised: 07/18/2023] [Accepted: 07/25/2023] [Indexed: 08/05/2023]
Abstract
For the effective management of lakes apart from defining and monitoring their current state it is crucial to identify environmental variables that are mostly responsible for the nutrient input. We used interpretative machine learning to investigate the environmental parameters that influence the lake's trophic state and recognize their patterns. We analysed the influence of the 25 environmental variables on the commonly used trophic state indicators values: total phosphorus (TP), Chlorophyll-a (Chl-a) and Secchi depth (SD) of 60 lakes located in the Central European Lowlands. We attempted to delineate the lakes into groups due to the influence of common prevailing environment variable/variables on the water trophic state reflected by each indicator. The results indicated that the relative impact of environmental variables on the lake trophic state has an individual hierarchy unique for each indicator. The most important are variables related to catchment impact on the lake, Ohle ratio (L. catchment area/L. area) for TP and Schindler ratio (L. area + L. catchment area)/L. volume for Chl-a and SD. There are also few variables strongly influential only for small sub-groups of lakes that stand out: lake maximum depth, catchment slope steepness expressed by the height standard deviation. The methods used in the study enabled the assessment of the character of the influence of the environmental variables on the indicator value and revealed that most essential variables (Ohle ratio for TP and Schindler ratio for Chl-a and SD) have bimodal distribution with a clear threshold value. These findings contribute to a better understanding of the drivers shaping the lake trophic status and have implication for planning effective management strategies.
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Affiliation(s)
- Izabela Zawiska
- Institute of Geography and Spatial Organization, Polish Academy of Sciences, Twarda 51/55, PL-00818, Warsaw, Poland.
| | - Jarosław Jasiewicz
- Institute of Geoecology and Geoinformation, Adam Mickiewicz University, Bogumiła Krygowskiego 10, PL-61680, Poznań, Poland.
| | - Monika Rzodkiewicz
- Institute of Geoecology and Geoinformation, Adam Mickiewicz University, Bogumiła Krygowskiego 10, PL-61680, Poznań, Poland.
| | - Michał Woszczyk
- Institute of Geoecology and Geoinformation, Adam Mickiewicz University, Bogumiła Krygowskiego 10, PL-61680, Poznań, Poland.
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Yang Y, Zhang W, Liu W, He D, Wan W. Irreversible community difference between bacterioplankton generalists and specialists in response to lake dredging. WATER RESEARCH 2023; 243:120344. [PMID: 37482008 DOI: 10.1016/j.watres.2023.120344] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Revised: 07/10/2023] [Accepted: 07/11/2023] [Indexed: 07/25/2023]
Abstract
Understanding response of bacterioplankton community responsible for maintaining ecological functions of aquatic ecosystems to environmental disturbance is an important subject. However, it remains largely unclear how bacterioplankton generalists and specialists respond to dredging disturbance. Illumina MiSeq sequencing and statistical analyses were used to evaluate landscape patterns, evolutionary potentials, environmental adaptability, and community assembly processes of generalists and specialists in response to dredging in eutrophic Lake Nanhu. The Proteobacteria and Actinobacteria dominated bacterioplankton communities of generalists and specialists, and abundances of Proteobacteria decreased and Actinobacteria increased after dredging. The generalists displayed higher phylogenetic distance, richness difference, speciation rate, extinction rate, and diversification rate as well as stronger environmental adaptation than that of specialists. In contrast, the specialists rather than generalists showed higher community diversity, taxonomic distance, and species replacement as well as closer phylogenetic clustering. Stochastic processes dominated community assemblies of generalists and specialists, and stochasticity exhibited a larger effect on community assembly of generalists rather than specialists. Our results emphasized that lake dredging could change landscape patterns of bacterioplankton generalists and specialists, whereas the short-term dredging conducted within one year was unable to reverse community difference between generalists and specialists. Our findings extend our understanding of how bacterioplankton generalists and specialists responding to dredging disturbance, and these findings might in turn call on long-term dredging for better ecological restoration of eutrophic lakes.
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Affiliation(s)
- Yuyi Yang
- Key Laboratory of Aquatic Botany and Watershed Ecology Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan 430070, China; Danjiangkou Wetland Ecosystem Field Scientific Observation and Research Station, Chinese Academy of Sciences & Hubei Province, Wuhan 430070, China
| | - Weihong Zhang
- Key Laboratory of Aquatic Botany and Watershed Ecology Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan 430070, China; Danjiangkou Wetland Ecosystem Field Scientific Observation and Research Station, Chinese Academy of Sciences & Hubei Province, Wuhan 430070, China
| | - Wenzhi Liu
- Key Laboratory of Aquatic Botany and Watershed Ecology Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan 430070, China; Danjiangkou Wetland Ecosystem Field Scientific Observation and Research Station, Chinese Academy of Sciences & Hubei Province, Wuhan 430070, China
| | - Donglan He
- College of Life Science, South-Central Minzu University, Wuhan 430070, China
| | - Wenjie Wan
- Key Laboratory of Aquatic Botany and Watershed Ecology Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan 430070, China; Danjiangkou Wetland Ecosystem Field Scientific Observation and Research Station, Chinese Academy of Sciences & Hubei Province, Wuhan 430070, China.
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