A Stable Isotope Analysis to Quantify the Contribution of Basal Dietary Sources to Food Webs of Drinking Water Reservoirs
This study investigates the food web structure of the Xinlicheng Reservoir, a drinking water source of critical importance in Changchun, China, by employing stable isotope analysis (SIA) to quantify the contribution ratios of four basal dietary sources—phytoplankton, zooplankton, sediment organic ma...
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description | This study investigates the food web structure of the Xinlicheng Reservoir, a drinking water source of critical importance in Changchun, China, by employing stable isotope analysis (SIA) to quantify the contribution ratios of four basal dietary sources—phytoplankton, zooplankton, sediment organic matter, and particulate organic matter (POM)—to the diets of two key filter-feeding fish species, Hypophthalm ichthys molitrix and Aristichthys nobilis. The analysis reveals that phytoplankton is the dominant dietary source for both species, contributing 32.08% and 34.06%, respectively, whereas the POM contribution is discernably lower (13.25%). The average trophic level of the fish assemblage in Xinlicheng Reservoir is 3.03, while the trophic levels of the two filter-feeding species lie between 3.00 and 3.50. Furthermore, a random forest model was used to identify key environmental drivers of isotopic variations in these basal dietary sources, highlighting the significant role of pH, total nitrogen (TN), chloride (Cl−), calcium (Ca2+), phosphorus (TP), and silicate (SiO44−) in influencing carbon and nitrogen isotopic ratios. These findings provide critical insights to optimize biomanipulation strategies aimed at improving water quality in drinking water reservoirs by enhancing our understanding of the environmental factors that govern trophic interactions and broader food web dynamics. |
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The analysis reveals that phytoplankton is the dominant dietary source for both species, contributing 32.08% and 34.06%, respectively, whereas the POM contribution is discernably lower (13.25%). The average trophic level of the fish assemblage in Xinlicheng Reservoir is 3.03, while the trophic levels of the two filter-feeding species lie between 3.00 and 3.50. Furthermore, a random forest model was used to identify key environmental drivers of isotopic variations in these basal dietary sources, highlighting the significant role of pH, total nitrogen (TN), chloride (Cl−), calcium (Ca2+), phosphorus (TP), and silicate (SiO44−) in influencing carbon and nitrogen isotopic ratios. These findings provide critical insights to optimize biomanipulation strategies aimed at improving water quality in drinking water reservoirs by enhancing our understanding of the environmental factors that govern trophic interactions and broader food web dynamics.</description><identifier>ISSN: 2073-4441</identifier><identifier>EISSN: 2073-4441</identifier><identifier>DOI: 10.3390/w16223338</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Carbon ; Carp ; Data processing ; Drinking water ; Environmental aspects ; Food chains ; Food chains (Ecology) ; Isotopes ; Methods ; Nitrogen ; Organisms ; Plankton ; Protection and preservation ; Reservoirs ; Sediments ; Sediments (Geology) ; Trophic levels ; Water quality ; Water sampling</subject><ispartof>Water (Basel), 2024-11, Vol.16 (22), p.3338</ispartof><rights>COPYRIGHT 2024 MDPI AG</rights><rights>2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c221t-371f43170a05eb0549b96fe8b2e796d996802cf4e676a30b9889a948f6d313313</cites><orcidid>0009-0009-6310-840X ; 0000-0002-7886-3848 ; 0000-0001-5359-8737</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids></links><search><creatorcontrib>Huang, Feng</creatorcontrib><creatorcontrib>Zhao, Wen</creatorcontrib><creatorcontrib>Qiao, Xingye</creatorcontrib><creatorcontrib>Xia, Changge</creatorcontrib><creatorcontrib>Liu, Yuan</creatorcontrib><creatorcontrib>Wei, Jie</creatorcontrib><creatorcontrib>Yin, Dongpeng</creatorcontrib><creatorcontrib>Arhonditsis, George</creatorcontrib><title>A Stable Isotope Analysis to Quantify the Contribution of Basal Dietary Sources to Food Webs of Drinking Water Reservoirs</title><title>Water (Basel)</title><description>This study investigates the food web structure of the Xinlicheng Reservoir, a drinking water source of critical importance in Changchun, China, by employing stable isotope analysis (SIA) to quantify the contribution ratios of four basal dietary sources—phytoplankton, zooplankton, sediment organic matter, and particulate organic matter (POM)—to the diets of two key filter-feeding fish species, Hypophthalm ichthys molitrix and Aristichthys nobilis. The analysis reveals that phytoplankton is the dominant dietary source for both species, contributing 32.08% and 34.06%, respectively, whereas the POM contribution is discernably lower (13.25%). The average trophic level of the fish assemblage in Xinlicheng Reservoir is 3.03, while the trophic levels of the two filter-feeding species lie between 3.00 and 3.50. Furthermore, a random forest model was used to identify key environmental drivers of isotopic variations in these basal dietary sources, highlighting the significant role of pH, total nitrogen (TN), chloride (Cl−), calcium (Ca2+), phosphorus (TP), and silicate (SiO44−) in influencing carbon and nitrogen isotopic ratios. These findings provide critical insights to optimize biomanipulation strategies aimed at improving water quality in drinking water reservoirs by enhancing our understanding of the environmental factors that govern trophic interactions and broader food web dynamics.</description><subject>Carbon</subject><subject>Carp</subject><subject>Data processing</subject><subject>Drinking water</subject><subject>Environmental aspects</subject><subject>Food chains</subject><subject>Food chains (Ecology)</subject><subject>Isotopes</subject><subject>Methods</subject><subject>Nitrogen</subject><subject>Organisms</subject><subject>Plankton</subject><subject>Protection and preservation</subject><subject>Reservoirs</subject><subject>Sediments</subject><subject>Sediments (Geology)</subject><subject>Trophic levels</subject><subject>Water quality</subject><subject>Water sampling</subject><issn>2073-4441</issn><issn>2073-4441</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNpNUd9LwzAQLqLgmHvwPwj45ENn0qRN81g3p4OB6JQ9lrS9zMyumUmq7L83cyLeHdxxfN_H_YiiS4LHlAp880WyJKGU5ifRIMGcxowxcvqvPo9Gzm1wMCbyPMWDaF-gpZdVC2jujDc7QEUn273TDnmDnnrZea32yL8BmpjOW131XpsOGYVupZMtmmrw0u7R0vS2hh_WzJgGraByB9TU6u5dd2u0kh4segYH9tNo6y6iMyVbB6PfPIxeZ3cvk4d48Xg_nxSLuE4S4mPKiWKUcCxxChVOmahEpiCvEuAia4TIcpzUikHGM0lxFfYSUrBcZQ0lNMQwujrq7qz56MH5chNGDUu68gCgQnDBA2p8RK1lC6XulPFW1sEb2OradKB06Bc5yRmnPD3IXh8JtTXOWVDlzuptuERJcHn4Rvn3DfoNqvZ6yA</recordid><startdate>20241101</startdate><enddate>20241101</enddate><creator>Huang, Feng</creator><creator>Zhao, Wen</creator><creator>Qiao, Xingye</creator><creator>Xia, Changge</creator><creator>Liu, Yuan</creator><creator>Wei, Jie</creator><creator>Yin, Dongpeng</creator><creator>Arhonditsis, George</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><orcidid>https://orcid.org/0009-0009-6310-840X</orcidid><orcidid>https://orcid.org/0000-0002-7886-3848</orcidid><orcidid>https://orcid.org/0000-0001-5359-8737</orcidid></search><sort><creationdate>20241101</creationdate><title>A Stable Isotope Analysis to Quantify the Contribution of Basal Dietary Sources to Food Webs of Drinking Water Reservoirs</title><author>Huang, Feng ; 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The analysis reveals that phytoplankton is the dominant dietary source for both species, contributing 32.08% and 34.06%, respectively, whereas the POM contribution is discernably lower (13.25%). The average trophic level of the fish assemblage in Xinlicheng Reservoir is 3.03, while the trophic levels of the two filter-feeding species lie between 3.00 and 3.50. Furthermore, a random forest model was used to identify key environmental drivers of isotopic variations in these basal dietary sources, highlighting the significant role of pH, total nitrogen (TN), chloride (Cl−), calcium (Ca2+), phosphorus (TP), and silicate (SiO44−) in influencing carbon and nitrogen isotopic ratios. 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subjects | Carbon Carp Data processing Drinking water Environmental aspects Food chains Food chains (Ecology) Isotopes Methods Nitrogen Organisms Plankton Protection and preservation Reservoirs Sediments Sediments (Geology) Trophic levels Water quality Water sampling |
title | A Stable Isotope Analysis to Quantify the Contribution of Basal Dietary Sources to Food Webs of Drinking Water Reservoirs |
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