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Pilecky M, Wassenaar LI, Taipale S, Kainz MJ. Protocols for sample preparation and compound-specific stable-isotope analyses (δ 2H, δ 13C) of fatty acids in biological and environmental samples. MethodsX 2023; 11:102283. [PMID: 38098777 PMCID: PMC10719507 DOI: 10.1016/j.mex.2023.102283] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Accepted: 07/07/2023] [Indexed: 12/17/2023] Open
Abstract
Compound-specific stable-isotope analysis (CSIA) of fatty acids is a powerful tool to better understand the trophic transfer of fatty acids and their biochemical fate in and across ecosystems, including tracing animal migration and understanding physiological processes. The non-exchangeable nature of C-H bonds in acyl chains, hydrogen (δ2H) and carbon (δ13C) stable-isotope values of fatty acids (FA) provide independent information about the origins of fatty acids. Several technical obstacles must be overcome to ensure accurate and reproducible measurements of FA-CSIA can be made. This protocol describes the sample preparation process for successful stable-isotope analyses of fatty acids obtained from environmental and biological samples. Numerous techniques for the preanalytical processing of fatty acid samples are available, and these often have minimal impact on δ values. Here, we provide an in-depth guide detailing our well-established laboratory protocols, ranging from the initial sample preparation, lipid extraction, and transmethylation to the instrumental arrangement, data collection, and analysis.•Protocol from obtaining a sample to standardized fatty acid specific δ2H and δ13C values.•Separate GC analysis procedures for C and H are recommended for optimal performance.
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Affiliation(s)
- Matthias Pilecky
- WasserCluster Biologische Station Lunz, Inter-University Center for Aquatic Ecosystem Research, Dr. Carl-Kupelwieser Promenade 5, 3293 Lunz/See, Austria
- Research lab of Aquatic Ecosystem Research and -Health, Danube University Krems, 3500 Krems, Austria
| | - Leonard I. Wassenaar
- WasserCluster Biologische Station Lunz, Inter-University Center for Aquatic Ecosystem Research, Dr. Carl-Kupelwieser Promenade 5, 3293 Lunz/See, Austria
- Research lab of Aquatic Ecosystem Research and -Health, Danube University Krems, 3500 Krems, Austria
| | - Sami Taipale
- University of Jyväskylä, Department of Biological and Environmental Science, Survontie 9C, Finland
| | - Martin J. Kainz
- WasserCluster Biologische Station Lunz, Inter-University Center for Aquatic Ecosystem Research, Dr. Carl-Kupelwieser Promenade 5, 3293 Lunz/See, Austria
- Research lab of Aquatic Ecosystem Research and -Health, Danube University Krems, 3500 Krems, Austria
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2
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Seelos M, Beutel M, McCord S, Kim S, Vigil K. Plankton population dynamics and methylmercury bioaccumulation in the pelagic food web of mine-impacted surface water reservoirs. HYDROBIOLOGIA 2022; 849:4803-4822. [PMID: 36213552 PMCID: PMC9526464 DOI: 10.1007/s10750-022-05018-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Revised: 09/02/2022] [Accepted: 09/16/2022] [Indexed: 05/28/2023]
Abstract
UNLABELLED Thermal stratification of reservoirs can lead to anaerobic conditions that facilitate the microbial conversion of mercury (Hg) to neurotoxic and bioaccumulative methylmercury (MeHg). But MeHg production is just the first step in a complex set of processes that affect MeHg in fish. Of particular relevance is uptake into suspended particulate matter (SPM) and zooplankton at the base of the pelagic food web. We assessed plankton dynamics and Hg uptake into the pelagic food web of four Hg-impaired California water reservoirs. Combining water chemistry, plankton taxonomy, and stable carbon (C) and nitrogen (N) isotope values of SPM and zooplankton samples, we investigated differences among the reservoirs that may contribute to differing patterns in MeHg bioaccumulation. Methylmercury accumulated in SPM during the spring and summer seasons. Percent MeHg (MeHg/Hg*100%) in SPM was negatively associated with δ15N values, suggesting that "fresh" algal biomass could support the production and bioaccumulation of MeHg. Zooplankton δ13C values were correlated with SPM δ13C values in the epilimnion, suggesting that zooplankton primarily feed in surface waters. However, zooplankton MeHg was poorly associated with MeHg in SPM. Our results demonstrate seasonal patterns in biological MeHg uptake and how multiple data sources can help constrain the drivers of MeHg bioaccumulation. SUPPLEMENTARY INFORMATION The online version contains supplementary material available at 10.1007/s10750-022-05018-0.
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Affiliation(s)
- Mark Seelos
- Environmental Systems Graduate Program, University of California Merced, Merced, CA 95343 USA
- Valley Water, San Jose, CA 95118 USA
| | - Marc Beutel
- Environmental Systems Graduate Program, University of California Merced, Merced, CA 95343 USA
| | | | - Sora Kim
- Department of Life and Environmental Sciences, University of California Merced, Merced, CA 95343 USA
| | - Katie Vigil
- Department of Global Environmental Health, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA 70112 USA
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3
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Feniova IY, Sakharova EG, Krylov AV. Transfer of Essential Substances from Phytoplankton to Zooplankton in Freshwater Ecosystems (Review). CONTEMP PROBL ECOL+ 2022. [DOI: 10.1134/s1995425522040059] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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4
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Huang C, Meng L, He Y, Shang N, Yu H, Huang T, Zhu AX, Yang H, Zhao K, Yao L. Spatial variation of particulate black carbon, and its sources in a large eutrophic urban lake in China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 803:150057. [PMID: 34500269 DOI: 10.1016/j.scitotenv.2021.150057] [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: 06/25/2021] [Revised: 08/26/2021] [Accepted: 08/27/2021] [Indexed: 06/13/2023]
Abstract
Black carbon (BC), characterized by high aromaticity and stability, has been recognized as a substantial fraction of the carbon pool in soil and sediment. The effect of BC on the particulate organic carbon (POC) pool in lake water, which is an important medium of carbon transmission and transformation, has not been thoroughly studied. The investigations of BC composition and distribution, POC, polycyclic aromatic hydrocarbons (PAHs), and stable carbon and nitrogen isotopes were conducted in a eutrophic urban lake, Taihu Lake, which is the third largest freshwater lake in China. The results indicate that the BC is composed of 55 ± 12% char and 45 ± 12% soot and accounted for 12 ± 6% of POC (the maximum value is 31%). The comparatively high levels of BC and char are distributed in the northern Taihu Lake, especially in Meiliang Bay (0.72 ± 0.38 mg L-1 and 0.45 ± 0.24 mg L-1). The distribution of soot presents a declining trend from the lakeshore to the central lake, particularly in the northern, western, and southern lakes. Source apportionment results from positive matrix factorization of PAHs suggest that consumption of fossil fuel (79 ± 20%) is the dominant source of BC, which agrees with the low ratio of char/soot (1.41 ± 0.71) and relatively depleted δ13C. The covariation of BC and PAHs and terrestrial dissolved organic carbon indicate that the effect of terrestrial input significantly regulates the distribution of BC in Taihu Lake, which is reflected in the high BC value along the lakeshore.
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Affiliation(s)
- Changchun Huang
- Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing Normal University, Nanjing 210023, China; Key Laboratory of Virtual Geographic Environment, Nanjing Normal University, Ministry of Education, Nanjing 210023, China; School of Geography Science, Nanjing Normal University, Nanjing 210023, China
| | - Lize Meng
- Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing Normal University, Nanjing 210023, China; School of Geography Science, Nanjing Normal University, Nanjing 210023, China
| | - Yao He
- Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing Normal University, Nanjing 210023, China; School of Geography Science, Nanjing Normal University, Nanjing 210023, China
| | - Nana Shang
- Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing Normal University, Nanjing 210023, China; School of Geography Science, Nanjing Normal University, Nanjing 210023, China
| | - Heyu Yu
- Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing Normal University, Nanjing 210023, China; School of Geography Science, Nanjing Normal University, Nanjing 210023, China
| | - Tao Huang
- Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing Normal University, Nanjing 210023, China; School of Geography Science, Nanjing Normal University, Nanjing 210023, China
| | - A-Xing Zhu
- Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing Normal University, Nanjing 210023, China; School of Geography Science, Nanjing Normal University, Nanjing 210023, China; Department of Geography, University of Wisconsin, Madison, WI 53706, USA
| | - Hao Yang
- Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing Normal University, Nanjing 210023, China; School of Geography Science, Nanjing Normal University, Nanjing 210023, China
| | - Kan Zhao
- Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing Normal University, Nanjing 210023, China; School of Geography Science, Nanjing Normal University, Nanjing 210023, China
| | - Ling Yao
- Institute of Geographic Science and Natural Resources Research, Chinese Academy of Sciences, Beijing 10010, China.
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Feniova IY, Sakharova EG, Gladyshev MI, Sushchik NN, Gorelysheva ZI, Karpowicz M. Effect of Fish on the Transfer Efficiency of Carbon, PUFA, and Nutrients from Phytoplankton to Zooplankton under Eutrophic Conditions. BIOL BULL+ 2021. [DOI: 10.1134/s1062359021080070] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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6
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Pilecky M, Kämmer SK, Mathieu‐Resuge M, Wassenaar LI, Taipale SJ, Martin‐Creuzburg D, Kainz MJ. Hydrogen isotopes (δ
2
H) of polyunsaturated fatty acids track bioconversion by zooplankton. Funct Ecol 2021. [DOI: 10.1111/1365-2435.13981] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Matthias Pilecky
- WasserCluster Lunz—Biologische Station Lunz am See Austria
- Department for Biomedical Research Danube University Krems Krems Austria
| | | | | | | | - Sami J. Taipale
- Department of Biological and Environmental Science University of Jyväskylä Survontie Finland
| | | | - Martin J. Kainz
- WasserCluster Lunz—Biologische Station Lunz am See Austria
- Department for Biomedical Research Danube University Krems Krems Austria
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7
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Prokopkin I, Makhutova O, Kravchuk E, Sushchik N, Anishchenko O, Gladyshev M. Assessing the Reliability of Quantitative Fatty Acid Signature Analysis and Compound-Specific Isotope Analysis-Based Mixing Models for Trophic Studies. Biomolecules 2021; 11:1590. [PMID: 34827588 PMCID: PMC8615491 DOI: 10.3390/biom11111590] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Revised: 10/25/2021] [Accepted: 10/25/2021] [Indexed: 11/16/2022] Open
Abstract
The study of the trophic relationships of aquatic animals requires correct estimates of their diets. We compared the quantitative fatty acid signature analysis (QFASA) and the isotope-mixing model IsoError, based on the compound-specific isotope analysis of fatty acids (CSIA-FA), which are potentially effective models for quantitative diet estimations. In a 21-day experiment, Daphnia was fed a mixture of two food items, Chlorella and Cryptomonas, which were supplied in nearly equal proportions. The percentages and isotope values of the FAs of the algal species and Daphnia were measured. The IsoError based on CSIA-FA gave an estimation of algae consumption using only one FA, 18:3n-3. According to this model, the proportion of consumption of Chlorella decreased while the proportion of consumption of Cryptomonas increased during the experiment. The QFASA model was used for two FA subsets-the extended-dietary subset, which included sixteen FAs, and the dietary one, which included nine FAs. According to both subsets, the portion of consumed Chlorella decreased from Day 5 to 10 and then increased at Day 21. The comparison of the two model approaches showed that the QFASA model is a more reliable method to determine the contribution of different food sources to the diet of zooplankton than the CSIA-based mixing model.
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Affiliation(s)
- Igor Prokopkin
- Institute of Biophysics, Krasnoyarsk Scientific Center, Siberian Branch, Russian Academy of Sciences, 660036 Krasnoyarsk, Russia; (I.P.); (E.K.); (N.S.); (O.A.); (M.G.)
| | - Olesia Makhutova
- Institute of Biophysics, Krasnoyarsk Scientific Center, Siberian Branch, Russian Academy of Sciences, 660036 Krasnoyarsk, Russia; (I.P.); (E.K.); (N.S.); (O.A.); (M.G.)
- Siberian Federal University, 660041 Krasnoyarsk, Russia
| | - Elena Kravchuk
- Institute of Biophysics, Krasnoyarsk Scientific Center, Siberian Branch, Russian Academy of Sciences, 660036 Krasnoyarsk, Russia; (I.P.); (E.K.); (N.S.); (O.A.); (M.G.)
| | - Nadezhda Sushchik
- Institute of Biophysics, Krasnoyarsk Scientific Center, Siberian Branch, Russian Academy of Sciences, 660036 Krasnoyarsk, Russia; (I.P.); (E.K.); (N.S.); (O.A.); (M.G.)
- Siberian Federal University, 660041 Krasnoyarsk, Russia
| | - Olesia Anishchenko
- Institute of Biophysics, Krasnoyarsk Scientific Center, Siberian Branch, Russian Academy of Sciences, 660036 Krasnoyarsk, Russia; (I.P.); (E.K.); (N.S.); (O.A.); (M.G.)
| | - Michail Gladyshev
- Institute of Biophysics, Krasnoyarsk Scientific Center, Siberian Branch, Russian Academy of Sciences, 660036 Krasnoyarsk, Russia; (I.P.); (E.K.); (N.S.); (O.A.); (M.G.)
- Siberian Federal University, 660041 Krasnoyarsk, Russia
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8
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Twining CW, Taipale SJ, Ruess L, Bec A, Martin-Creuzburg D, Kainz MJ. Stable isotopes of fatty acids: current and future perspectives for advancing trophic ecology. Philos Trans R Soc Lond B Biol Sci 2020; 375:20190641. [PMID: 32536315 PMCID: PMC7333957 DOI: 10.1098/rstb.2019.0641] [Citation(s) in RCA: 42] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/26/2020] [Indexed: 12/16/2022] Open
Abstract
To understand consumer dietary requirements and resource use across ecosystems, researchers have employed a variety of methods, including bulk stable isotope and fatty acid composition analyses. Compound-specific stable isotope analysis (CSIA) of fatty acids combines both of these tools into an even more powerful method with the capacity to broaden our understanding of food web ecology and nutritional dynamics. Here, we provide an overview of the potential that CSIA studies hold and their constraints. We first review the use of fatty acid CSIA in ecology at the natural abundance level as well as enriched physiological tracers, and highlight the unique insights that CSIA of fatty acids can provide. Next, we evaluate methodological best practices when generating and interpreting CSIA data. We then introduce three cutting-edge methods: hydrogen CSIA of fatty acids, and fatty acid isotopomer and isotopologue analyses, which are not yet widely used in ecological studies, but hold the potential to address some of the limitations of current techniques. Finally, we address future priorities in the field of CSIA including: generating more data across a wider range of taxa; lowering costs and increasing laboratory availability; working across disciplinary and methodological boundaries; and combining approaches to answer macroevolutionary questions. This article is part of the theme issue 'The next horizons for lipids as 'trophic biomarkers': evidence and significance of consumer modification of dietary fatty acids'.
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Affiliation(s)
- Cornelia W. Twining
- Limnological Institute, University of Konstanz, 78464 Konstanz, Germany
- Max Planck Institute for Animal Behavior, 78315 Radolfzell, Germany
| | - Sami J. Taipale
- Department of Biological and Environmental Science, University of Jyväskylä, 40014 Jyväskylä, Finland
| | - Liliane Ruess
- Institute of Biology, Ecology Group, Humboldt Universität zu Berlin, 10115 Berlin, Germany
| | - Alexandre Bec
- University Clermont Auvergne, 63178 Clermont-Ferrand, France
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9
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Grazing resistance and poor food quality of a widespread mixotroph impair zooplankton secondary production. Oecologia 2020; 193:489-502. [PMID: 32504109 PMCID: PMC7320944 DOI: 10.1007/s00442-020-04677-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2019] [Accepted: 05/28/2020] [Indexed: 12/03/2022]
Abstract
Growing evidence suggests that global climate change promotes the dominance of mixotrophic algae especially in oligotrophic aquatic ecosystems. While theory predicts that mixotrophy increases trophic transfer efficiency in aquatic food webs, deleterious effects of some mixotrophs on consumers have also been reported. Here, using a widespread mixotrophic algal genus Dinobryon, we aimed to quantify how colonial taxa contribute to secondary production in lakes. We, therefore, studied the dietary effects of Dinobryon divergens on Cladocera (Daphnia longispina) and Copepoda (Eudiaptomus gracilis), representing two main taxonomic and functional groups of zooplankton. In feeding experiments, we showed that Dinobryon was largely grazing resistant and even inhibited the uptake of the high-quality reference food in Daphnia. Eudiaptomus could to some extent compensate with selective feeding, but a negative long-term food quality effect was also evident. Besides, Eudiaptomus was more sensitive to the pure diet of Dinobryon than Daphnia. Low lipid content and high C:P elemental ratio further supported the low nutritional value of the mixotroph. In a stable isotope approach analysing a natural plankton community, we found further evidence that carbon of Dinobryon was not conveyed efficiently to zooplankton. Our results show that the increasing dominance of colonial mixotrophs can result in reduced dietary energy transfer to consumers at higher trophic levels. In a wider perspective, global climate change favours the dominance of some detrimental mixotrophic algae which may constrain pelagic trophic transfer efficiency in oligotrophic systems, similarly to cyanobacteria in eutrophic lakes.
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10
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Oinonen M, Alenius T, Arppe L, Bocherens H, Etu-Sihvola H, Helama S, Huhtamaa H, Lahtinen M, Mannermaa K, Onkamo P, Palo J, Sajantila A, Salo K, Sundell T, Vanhanen S, Wessman A. Buried in water, burdened by nature-Resilience carried the Iron Age people through Fimbulvinter. PLoS One 2020; 15:e0231787. [PMID: 32315354 PMCID: PMC7173937 DOI: 10.1371/journal.pone.0231787] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2019] [Accepted: 03/31/2020] [Indexed: 11/18/2022] Open
Abstract
Levänluhta is a unique archaeological site with the remains of nearly a hundred Iron Age individuals found from a water burial in Ostrobothnia, Finland. The strongest climatic downturn of the Common Era, resembling the great Fimbulvinter in Norse mythology, hit these people during the 6th century AD. This study establishes chronological, dietary, and livelihood synthesis on this population based on stable carbon and nitrogen isotopic and radiocarbon analyses on human remains, supported by multidisciplinary evidence. Extraordinarily broad stable isotopic distribution is observed, indicating three subgroups with distinct dietary habits spanning four centuries. This emphasizes the versatile livelihoods practiced at this boundary of marine, freshwater, and terrestrial ecosystems. While the impact of the prolonged cold darkness of the 6th century was devastating for European communities relying on cultivation, the broad range of livelihoods provided resilience for the Levänluhta people to overcome the abrupt climatic decline.
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Affiliation(s)
- Markku Oinonen
- Finnish Museum of Natural History, University of Helsinki, Helsinki, Finland
- * E-mail:
| | - Teija Alenius
- Department of Cultures, Archaeology, University of Helsinki, Helsinki, Finland
| | - Laura Arppe
- Finnish Museum of Natural History, University of Helsinki, Helsinki, Finland
| | - Hervé Bocherens
- Eberhard-Karls Universität Tübingen, Tübingen, Germany
- Senckenberg Centre for Human Evolution and Palaeoenvironment (SHEP) at University of Tübingen, Tübingen, Germany
| | - Heli Etu-Sihvola
- Finnish Museum of Natural History, University of Helsinki, Helsinki, Finland
- Department of Cultures, Archaeology, University of Helsinki, Helsinki, Finland
| | - Samuli Helama
- Natural Resources Institute Finland, Rovaniemi, Finland
| | - Heli Huhtamaa
- Heidelberg Centre for the Environment, University of Heidelberg, Heidelberg, Germany
| | - Maria Lahtinen
- Finnish Museum of Natural History, University of Helsinki, Helsinki, Finland
- Finnish Food Authority, Helsinki, Finland
| | - Kristiina Mannermaa
- Department of Cultures, Archaeology, University of Helsinki, Helsinki, Finland
| | - Päivi Onkamo
- Organism and Evolutionary Biology Research Programme, University of Helsinki, Helsinki, Finland
- Physiology and Genetics, University of Turku, Turku, Finland
| | - Jukka Palo
- Department of Forensic Medicine, University of Helsinki, Helsinki, Finland
- Forensic Genetics Unit, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Antti Sajantila
- Department of Forensic Medicine, University of Helsinki, Helsinki, Finland
| | - Kati Salo
- Department of Cultures, Archaeology, University of Helsinki, Helsinki, Finland
| | - Tarja Sundell
- Department of Cultures, Archaeology, University of Helsinki, Helsinki, Finland
- Institute of Biotechnology, University of Helsinki, Helsinki, Finland
| | | | - Anna Wessman
- Department of Cultures, Archaeology, University of Helsinki, Helsinki, Finland
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11
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Xu J, Lei S, Bi S, Li Y, Lyu H, Xu J, Xu X, Mu M, Miao S, Zeng S, Zheng Z. Tracking spatio-temporal dynamics of POC sources in eutrophic lakes by remote sensing. WATER RESEARCH 2020; 168:115162. [PMID: 31629230 DOI: 10.1016/j.watres.2019.115162] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/04/2019] [Revised: 09/17/2019] [Accepted: 10/05/2019] [Indexed: 06/10/2023]
Abstract
Estimating the proportions of particulate organic carbon (POC) endmembers is essential to fully understand the carbon cycle, the function of aquatic ecosystems, and the migration of contaminants in eutrophic lakes. There is currently no effective remote sensing optical algorithm in the literature to solve this problem. In this study, a POC-source color index (SPOC) was constructed based on the terrestrial and endogenous POC ratios calculated from field-measured stable isotope (δ13CPOC) values. The SPOC algorithm traces the sources of POC by utilizing three spectral bands centered approximately at 560 nm, 674 nm, and 709 nm, covering the intrinsic optical information of different POC sources. At the same time, the SPOC algorithm shows good applicability to Ocean and Land Color Instrument (OLCI), Medium-Resolution Imaging Spectrometer (MERIS), Moderate Resolution Imaging Spectroradiometer (MODIS), and Geostationary Ocean Color Imager (GOCI) image data. The POC sources estimated using the algorithm and monthly OLCI data showed that from March 2018 to January 2019, the POC at the surface of Lake Taihu was mainly terrigenous. In addition, due to multiple factors such as algal blooms, plant physiology, river transport, regional rainfall, and carbon cycling, the distribution of POC sources exhibited strong spatial and temporal heterogeneity. Compared with other methods, it is more convenient to use remote sensing to identify the proportion of POC in different endmembers, which offers a more comprehensive understanding of the energy flows and material circulation in lakes.
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Affiliation(s)
- Jie Xu
- Key Laboratory of Virtual Geographic Environment of Education Ministry, Nanjing Normal University, Nanjing, 210023, PR China
| | - Shaohua Lei
- Key Laboratory of Virtual Geographic Environment of Education Ministry, Nanjing Normal University, Nanjing, 210023, PR China
| | - Shun Bi
- Key Laboratory of Virtual Geographic Environment of Education Ministry, Nanjing Normal University, Nanjing, 210023, PR China
| | - Yunmei Li
- Key Laboratory of Virtual Geographic Environment of Education Ministry, Nanjing Normal University, Nanjing, 210023, PR China; Jiangsu Center for Collaboration Invocation in Geographical Information Resource Development and Application, Nanjing, 210023, PR China.
| | - Heng Lyu
- Key Laboratory of Virtual Geographic Environment of Education Ministry, Nanjing Normal University, Nanjing, 210023, PR China; Jiangsu Center for Collaboration Invocation in Geographical Information Resource Development and Application, Nanjing, 210023, PR China
| | - Jiafeng Xu
- Key Laboratory of Virtual Geographic Environment of Education Ministry, Nanjing Normal University, Nanjing, 210023, PR China
| | - Xiaoguang Xu
- School of Environment, Nanjing Normal University, Nanjing, 210023, PR China
| | - Meng Mu
- Key Laboratory of Virtual Geographic Environment of Education Ministry, Nanjing Normal University, Nanjing, 210023, PR China
| | - Song Miao
- Key Laboratory of Virtual Geographic Environment of Education Ministry, Nanjing Normal University, Nanjing, 210023, PR China
| | - Shuai Zeng
- Key Laboratory of Virtual Geographic Environment of Education Ministry, Nanjing Normal University, Nanjing, 210023, PR China
| | - Zhubin Zheng
- School of Geography and Environmental Engineering, Gannan Normal University, Ganzhou, 341000, China
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12
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Direct and Indirect Impacts of Fish on Crustacean Zooplankton in Experimental Mesocosms. WATER 2019. [DOI: 10.3390/w11102090] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Understanding the factors that regulate phytoplankton and zooplankton is an important goal of aquatic ecologists; however, much remains unknown because of complex interactions between phytoplankton, zooplankton, and fish. Zooplankton, in particular cladocerans, can be regulated by bottom–up factors either via food quantity or food quality in terms of polyunsaturated fatty acids (PUFA) or phosphorus (P) contents in phytoplankton. Fish can recycle nutrients and in turn change the PUFA and P contents of algal resources, thus modifying bottom–up regulation. Furthermore, fish can change phytoplankton structure through consumption of cladocerans which selectively graze phytoplankton. We conducted a mesocosm (300 L) experiment to determine how trophic state and fish affected crustacean dynamics. The mesocosms were filled with water containing natural plankton from the eutrophic Lake Jorzec and mesotrophic Lake Majcz (Northeastern Poland), and we manipulated fish presence/absence. We also conducted a complementary life-table experiment to determine how trophic state and fish nonconsumptively affected demographic parameters of the dominant cladocerans in the mesocosms. Small and large cladoceran species responded differently to food quantity and quality. Small-bodied Ceriodaphnia were regulated mainly by resource concentrations (i.e., food quantity), while large species were limited by PUFAs (i.e., food quality). Fish likely increased food quality in terms of PUFA, primarily eicosapentaenoic acids (EPA), thus providing conditions for more successful development of Daphnia than in the fish-free treatments. Phosphorus in the seston was likely limiting for zooplankton. However, food quality in terms of phosphorus was likely less important than PUFA because zooplankton can accumulate nutrients in their body.
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13
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Nielsen JM, Clare EL, Hayden B, Brett MT, Kratina P. Diet tracing in ecology: Method comparison and selection. Methods Ecol Evol 2017. [DOI: 10.1111/2041-210x.12869] [Citation(s) in RCA: 222] [Impact Index Per Article: 27.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
- Jens M. Nielsen
- School of Biological and Chemical SciencesQueen Mary University of London London UK
| | - Elizabeth L. Clare
- School of Biological and Chemical SciencesQueen Mary University of London London UK
| | - Brian Hayden
- Canadian Rivers InstituteBiology DepartmentUniversity of New Brunswick Fredericton NB Canada
| | - Michael T. Brett
- Department of Civil and Environmental EngineeringUniversity of Washington Seattle WA USA
| | - Pavel Kratina
- School of Biological and Chemical SciencesQueen Mary University of London London UK
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14
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