Prediction of Daphnid Survival after in Situ Exposure to Complex Mixtures
We applied a mechanistically based model to predict the effects of complex mixtures as occurring in the field on the survival of Daphnia magna. We validated the model by comparing predicted survival with observed survival of in situ exposed laboratory cultured daphnids to polluted surface waters, in...
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| Veröffentlicht in: | Environmental science & technology 2009-08, Vol.43 (15), p.6064-6069 |
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| container_title | Environmental science & technology |
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| creator | Baas, J Willems, J Jager, T Kraak, M.H.S Vandenbrouck, T Kooijman, S.A.L.M |
| description | We applied a mechanistically based model to predict the effects of complex mixtures as occurring in the field on the survival of Daphnia magna. We validated the model by comparing predicted survival with observed survival of in situ exposed laboratory cultured daphnids to polluted surface waters, in which over 90 chemical contaminants were measured. Using the chemical composition of the surface water at each sampling site, we calculated whether or not any of the individual or shared no effect concentrations were exceeded. If they were, we calculated the effect on survival. In 34 out of 37 cases (92%) we correctly predicted daphnid survival in surface waters. In the case of mortality we could also appoint the compound or group of compounds causing the effect. It is concluded that the proposed mechanistically based model accurately predicts effects on daphnids in the field, given the chemical composition of the water. Hence it is a powerful tool to link the chemical and ecological status of surface waters. |
| doi_str_mv | 10.1021/es901083v |
| format | Article |
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We validated the model by comparing predicted survival with observed survival of in situ exposed laboratory cultured daphnids to polluted surface waters, in which over 90 chemical contaminants were measured. Using the chemical composition of the surface water at each sampling site, we calculated whether or not any of the individual or shared no effect concentrations were exceeded. If they were, we calculated the effect on survival. In 34 out of 37 cases (92%) we correctly predicted daphnid survival in surface waters. In the case of mortality we could also appoint the compound or group of compounds causing the effect. It is concluded that the proposed mechanistically based model accurately predicts effects on daphnids in the field, given the chemical composition of the water. Hence it is a powerful tool to link the chemical and ecological status of surface waters.</description><identifier>ISSN: 0013-936X</identifier><identifier>EISSN: 1520-5851</identifier><identifier>DOI: 10.1021/es901083v</identifier><identifier>PMID: 19731719</identifier><identifier>CODEN: ESTHAG</identifier><language>eng</language><publisher>Washington, DC: American Chemical Society</publisher><subject>Animal, plant and microbial ecology ; Animals ; Applied ecology ; Applied sciences ; Biological and medical sciences ; Chemical contaminants ; Comparative analysis ; Crustaceans ; Daphnia - drug effects ; Daphnia - growth & development ; Daphnia magna ; Dose-Response Relationship, Drug ; Ecology ; Ecotoxicology and Human Environmental Health ; Ecotoxicology, biological effects of pollution ; Effects ; Environmental Monitoring - methods ; Environmental Pollutants ; Exact sciences and technology ; Freshwater ; Fundamental and applied biological sciences. Psychology ; Hydrogen-Ion Concentration ; Kinetics ; Models, Biological ; Models, Theoretical ; Mortality ; Pollution ; Polycyclic Aromatic Hydrocarbons - toxicity ; Reproducibility of Results ; Time Factors ; Toxicology - methods ; Water Pollution, Chemical - analysis</subject><ispartof>Environmental science & technology, 2009-08, Vol.43 (15), p.6064-6069</ispartof><rights>Copyright © 2009 American Chemical Society</rights><rights>2015 INIST-CNRS</rights><rights>Copyright American Chemical Society Aug 1, 2009</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a437t-a94cd7ebef7f53bc8b1e65d765585c744637673dd442eb23fd29edcf5c170df63</citedby><cites>FETCH-LOGICAL-a437t-a94cd7ebef7f53bc8b1e65d765585c744637673dd442eb23fd29edcf5c170df63</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://pubs.acs.org/doi/pdf/10.1021/es901083v$$EPDF$$P50$$Gacs$$H</linktopdf><linktohtml>$$Uhttps://pubs.acs.org/doi/10.1021/es901083v$$EHTML$$P50$$Gacs$$H</linktohtml><link.rule.ids>314,780,784,2765,27076,27924,27925,56738,56788</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=22103516$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/19731719$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Baas, J</creatorcontrib><creatorcontrib>Willems, J</creatorcontrib><creatorcontrib>Jager, T</creatorcontrib><creatorcontrib>Kraak, M.H.S</creatorcontrib><creatorcontrib>Vandenbrouck, T</creatorcontrib><creatorcontrib>Kooijman, S.A.L.M</creatorcontrib><title>Prediction of Daphnid Survival after in Situ Exposure to Complex Mixtures</title><title>Environmental science & technology</title><addtitle>Environ. Sci. Technol</addtitle><description>We applied a mechanistically based model to predict the effects of complex mixtures as occurring in the field on the survival of Daphnia magna. We validated the model by comparing predicted survival with observed survival of in situ exposed laboratory cultured daphnids to polluted surface waters, in which over 90 chemical contaminants were measured. Using the chemical composition of the surface water at each sampling site, we calculated whether or not any of the individual or shared no effect concentrations were exceeded. If they were, we calculated the effect on survival. In 34 out of 37 cases (92%) we correctly predicted daphnid survival in surface waters. In the case of mortality we could also appoint the compound or group of compounds causing the effect. It is concluded that the proposed mechanistically based model accurately predicts effects on daphnids in the field, given the chemical composition of the water. Hence it is a powerful tool to link the chemical and ecological status of surface waters.</description><subject>Animal, plant and microbial ecology</subject><subject>Animals</subject><subject>Applied ecology</subject><subject>Applied sciences</subject><subject>Biological and medical sciences</subject><subject>Chemical contaminants</subject><subject>Comparative analysis</subject><subject>Crustaceans</subject><subject>Daphnia - drug effects</subject><subject>Daphnia - growth & development</subject><subject>Daphnia magna</subject><subject>Dose-Response Relationship, Drug</subject><subject>Ecology</subject><subject>Ecotoxicology and Human Environmental Health</subject><subject>Ecotoxicology, biological effects of pollution</subject><subject>Effects</subject><subject>Environmental Monitoring - methods</subject><subject>Environmental Pollutants</subject><subject>Exact sciences and technology</subject><subject>Freshwater</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Hydrogen-Ion Concentration</subject><subject>Kinetics</subject><subject>Models, Biological</subject><subject>Models, Theoretical</subject><subject>Mortality</subject><subject>Pollution</subject><subject>Polycyclic Aromatic Hydrocarbons - toxicity</subject><subject>Reproducibility of Results</subject><subject>Time Factors</subject><subject>Toxicology - methods</subject><subject>Water Pollution, Chemical - analysis</subject><issn>0013-936X</issn><issn>1520-5851</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpl0F1LwzAUBuAgipvTC_-ABEHEi2pOkzTtpcxPmCio4F1J84EZXVOTdsx_b8XhQK8OHB7OeXkROgRyDiSFCxMLAiSnyy00Bp6ShOccttGYEKBJQbO3EdqLcU4ISSnJd9EICkFBQDFG90_BaKc65xvsLb6S7XvjNH7uw9ItZY2l7UzArsHPruvx9ar1sQ8Gdx5P_aKtzQo_uFU3rOI-2rGyjuZgPSfo9eb6ZXqXzB5v76eXs0QyKrpEFkxpYSpjheW0UnkFJuNaZHwIrQRjGRWZoFozlpoqpVanhdHKcgWCaJvRCTr9udsG_9Gb2JULF5Wpa9kY38dScMYZK5gY5PEfOfd9aIZw5dADcMhZPqCzH6SCjzEYW7bBLWT4LIGU3-2Wv-0O9mh9sK8WRm_kus4BnKyBjErWNshGufjr0hQI5ZBtnFRxE-r_wy9HAI0e</recordid><startdate>20090801</startdate><enddate>20090801</enddate><creator>Baas, J</creator><creator>Willems, J</creator><creator>Jager, T</creator><creator>Kraak, M.H.S</creator><creator>Vandenbrouck, T</creator><creator>Kooijman, S.A.L.M</creator><general>American Chemical Society</general><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QO</scope><scope>7ST</scope><scope>7T7</scope><scope>7U7</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>P64</scope><scope>SOI</scope><scope>7QH</scope><scope>7TV</scope><scope>7UA</scope><scope>F1W</scope><scope>H97</scope><scope>L.G</scope></search><sort><creationdate>20090801</creationdate><title>Prediction of Daphnid Survival after in Situ Exposure to Complex Mixtures</title><author>Baas, J ; Willems, J ; Jager, T ; Kraak, M.H.S ; Vandenbrouck, T ; Kooijman, S.A.L.M</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a437t-a94cd7ebef7f53bc8b1e65d765585c744637673dd442eb23fd29edcf5c170df63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Animal, plant and microbial ecology</topic><topic>Animals</topic><topic>Applied ecology</topic><topic>Applied sciences</topic><topic>Biological and medical sciences</topic><topic>Chemical contaminants</topic><topic>Comparative analysis</topic><topic>Crustaceans</topic><topic>Daphnia - drug effects</topic><topic>Daphnia - growth & development</topic><topic>Daphnia magna</topic><topic>Dose-Response Relationship, Drug</topic><topic>Ecology</topic><topic>Ecotoxicology and Human Environmental Health</topic><topic>Ecotoxicology, biological effects of pollution</topic><topic>Effects</topic><topic>Environmental Monitoring - methods</topic><topic>Environmental Pollutants</topic><topic>Exact sciences and technology</topic><topic>Freshwater</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Hydrogen-Ion Concentration</topic><topic>Kinetics</topic><topic>Models, Biological</topic><topic>Models, Theoretical</topic><topic>Mortality</topic><topic>Pollution</topic><topic>Polycyclic Aromatic Hydrocarbons - toxicity</topic><topic>Reproducibility of Results</topic><topic>Time Factors</topic><topic>Toxicology - methods</topic><topic>Water Pollution, Chemical - analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Baas, J</creatorcontrib><creatorcontrib>Willems, J</creatorcontrib><creatorcontrib>Jager, T</creatorcontrib><creatorcontrib>Kraak, M.H.S</creatorcontrib><creatorcontrib>Vandenbrouck, T</creatorcontrib><creatorcontrib>Kooijman, S.A.L.M</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Biotechnology Research Abstracts</collection><collection>Environment Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Toxicology Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environment Abstracts</collection><collection>Aqualine</collection><collection>Pollution Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 3: Aquatic Pollution & Environmental Quality</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><jtitle>Environmental science & technology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Baas, J</au><au>Willems, J</au><au>Jager, T</au><au>Kraak, M.H.S</au><au>Vandenbrouck, T</au><au>Kooijman, S.A.L.M</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Prediction of Daphnid Survival after in Situ Exposure to Complex Mixtures</atitle><jtitle>Environmental science & technology</jtitle><addtitle>Environ. Sci. Technol</addtitle><date>2009-08-01</date><risdate>2009</risdate><volume>43</volume><issue>15</issue><spage>6064</spage><epage>6069</epage><pages>6064-6069</pages><issn>0013-936X</issn><eissn>1520-5851</eissn><coden>ESTHAG</coden><abstract>We applied a mechanistically based model to predict the effects of complex mixtures as occurring in the field on the survival of Daphnia magna. We validated the model by comparing predicted survival with observed survival of in situ exposed laboratory cultured daphnids to polluted surface waters, in which over 90 chemical contaminants were measured. Using the chemical composition of the surface water at each sampling site, we calculated whether or not any of the individual or shared no effect concentrations were exceeded. If they were, we calculated the effect on survival. In 34 out of 37 cases (92%) we correctly predicted daphnid survival in surface waters. 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| ispartof | Environmental science & technology, 2009-08, Vol.43 (15), p.6064-6069 |
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| subjects | Animal, plant and microbial ecology Animals Applied ecology Applied sciences Biological and medical sciences Chemical contaminants Comparative analysis Crustaceans Daphnia - drug effects Daphnia - growth & development Daphnia magna Dose-Response Relationship, Drug Ecology Ecotoxicology and Human Environmental Health Ecotoxicology, biological effects of pollution Effects Environmental Monitoring - methods Environmental Pollutants Exact sciences and technology Freshwater Fundamental and applied biological sciences. Psychology Hydrogen-Ion Concentration Kinetics Models, Biological Models, Theoretical Mortality Pollution Polycyclic Aromatic Hydrocarbons - toxicity Reproducibility of Results Time Factors Toxicology - methods Water Pollution, Chemical - analysis |
| title | Prediction of Daphnid Survival after in Situ Exposure to Complex Mixtures |
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