Environmental relevance of laboratory-derived kinetic models to predict trace metal bioaccumulation in gammarids: Field experimentation at a large spatial scale (France)
Kinetic models have become established tools for describing trace metal bioaccumulation in aquatic organisms and offer a promising approach for linking water contamination to trace metal bioaccumulation in biota. Nevertheless, models are based on laboratory-derived kinetic parameters, and the questi...
Gespeichert in:
Veröffentlicht in: | Water research (Oxford) 2016-05, Vol.95, p.330-339 |
---|---|
Hauptverfasser: | , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 339 |
---|---|
container_issue | |
container_start_page | 330 |
container_title | Water research (Oxford) |
container_volume | 95 |
creator | Urien, N. Lebrun, J.D. Fechner, L.C. Uher, E. François, A. Quéau, H. Coquery, M. Chaumot, A. Geffard, O. |
description | Kinetic models have become established tools for describing trace metal bioaccumulation in aquatic organisms and offer a promising approach for linking water contamination to trace metal bioaccumulation in biota. Nevertheless, models are based on laboratory-derived kinetic parameters, and the question of their relevance to predict trace metal bioaccumulation in the field is poorly addressed. In the present study, we propose to assess the capacity of kinetic models to predict trace metal bioaccumulation in gammarids in the field at a wide spatial scale. The field validation consisted of measuring dissolved Cd, Cu, Ni and Pb concentrations in the water column at 141 sites in France, running the models with laboratory-derived kinetic parameters, and comparing model predictions and measurements of trace metal concentrations in gammarids caged for 7 days to the same sites. We observed that gammarids poorly accumulated Cu showing the limited relevance of that species to monitor Cu contamination. Therefore, Cu was not considered for model predictions. In contrast, gammarids significantly accumulated Pb, Cd, and Ni over a wide range of exposure concentrations. These results highlight the relevance of using gammarids for active biomonitoring to detect spatial trends of bioavailable Pb, Cd, and Ni contamination in freshwaters. The best agreements between model predictions and field measurements were observed for Cd with 71% of good estimations (i.e. field measurements were predicted within a factor of two), which highlighted the potential for kinetic models to link Cd contamination to bioaccumulation in the field. The poorest agreements were observed for Ni and Pb (39% and 48% of good estimations, respectively). However, models developed for Ni, Pb, and to a lesser extent for Cd, globally underestimated bioaccumulation in caged gammarids. These results showed that the link between trace metal concentration in water and in biota remains complex, and underlined the limits of these models, in their present form, to assess trace metal bioavailability in the field. We suggest that to improve model predictions, kinetic models need to be complemented, particularly by further assessing the influence of abiotic factors on trace metal uptake, and the relative contribution of the trophic route in the contamination of gammarids.
•Kinetic models of metal bioaccumulation were field-tested in gammarids at a national-wide scale.•Models underestimated Ni, Pb, and Cd bioaccumulation |
doi_str_mv | 10.1016/j.watres.2016.03.023 |
format | Article |
fullrecord | <record><control><sourceid>proquest_hal_p</sourceid><recordid>TN_cdi_hal_primary_oai_HAL_hal_01569657v1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0043135416301506</els_id><sourcerecordid>1787960681</sourcerecordid><originalsourceid>FETCH-LOGICAL-c462t-637da8cbbbc58c4fb80cb037435d748107839a876619a9b5ba0bf587c688d72e3</originalsourceid><addsrcrecordid>eNqNks1uEzEUhUcIREPhDRDysl1MsMce28MCqaoaWikSG1hb_rkpDp5xsJ1AH4m3xNOULgsry1ffOedK9zTNW4KXBBP-frv8qUuCvOzqb4npEnf0WbMgUgxtx5h83iwwZrQltGcnzauctxjjrqPDy-akE1XDGV00v6-mg09xGmEqOqAEAQ56soDiBgVtYtIlprvWQfIHcOi7n6B4i8boIGRUItolcN4WVJKuqhFmF-OjtnY_7oMuPk7IT-hWj6NO3uUPaOUhOAS_dtXzPvae0QXpmphuAeVdHVWbbHUAdLZK80Lnr5sXGx0yvHl4T5uvq6svl9ft-vOnm8uLdWsZ70rLqXBaWmOM7aVlGyOxNZgKRnsnmCRYSDpoKTgngx5MbzQ2m14Ky6V0ogN62pwffb_poHZ1RZ3uVNReXV-s1TzDpOcD78WBVPbsyO5S_LGHXNTos4UQ9ARxnxWRhGPBeE3_Jyrq4TjmkvwPyknHh352ZUfUpphzgs3jxgSruSZqq441UXNNFKaq1qTK3j0k7M0I7lH0txcV-HgE6pXh4CGpbD3UMzifwBblon864Q8mzNIK</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1786126954</pqid></control><display><type>article</type><title>Environmental relevance of laboratory-derived kinetic models to predict trace metal bioaccumulation in gammarids: Field experimentation at a large spatial scale (France)</title><source>MEDLINE</source><source>Elsevier ScienceDirect Journals</source><creator>Urien, N. ; Lebrun, J.D. ; Fechner, L.C. ; Uher, E. ; François, A. ; Quéau, H. ; Coquery, M. ; Chaumot, A. ; Geffard, O.</creator><creatorcontrib>Urien, N. ; Lebrun, J.D. ; Fechner, L.C. ; Uher, E. ; François, A. ; Quéau, H. ; Coquery, M. ; Chaumot, A. ; Geffard, O.</creatorcontrib><description>Kinetic models have become established tools for describing trace metal bioaccumulation in aquatic organisms and offer a promising approach for linking water contamination to trace metal bioaccumulation in biota. Nevertheless, models are based on laboratory-derived kinetic parameters, and the question of their relevance to predict trace metal bioaccumulation in the field is poorly addressed. In the present study, we propose to assess the capacity of kinetic models to predict trace metal bioaccumulation in gammarids in the field at a wide spatial scale. The field validation consisted of measuring dissolved Cd, Cu, Ni and Pb concentrations in the water column at 141 sites in France, running the models with laboratory-derived kinetic parameters, and comparing model predictions and measurements of trace metal concentrations in gammarids caged for 7 days to the same sites. We observed that gammarids poorly accumulated Cu showing the limited relevance of that species to monitor Cu contamination. Therefore, Cu was not considered for model predictions. In contrast, gammarids significantly accumulated Pb, Cd, and Ni over a wide range of exposure concentrations. These results highlight the relevance of using gammarids for active biomonitoring to detect spatial trends of bioavailable Pb, Cd, and Ni contamination in freshwaters. The best agreements between model predictions and field measurements were observed for Cd with 71% of good estimations (i.e. field measurements were predicted within a factor of two), which highlighted the potential for kinetic models to link Cd contamination to bioaccumulation in the field. The poorest agreements were observed for Ni and Pb (39% and 48% of good estimations, respectively). However, models developed for Ni, Pb, and to a lesser extent for Cd, globally underestimated bioaccumulation in caged gammarids. These results showed that the link between trace metal concentration in water and in biota remains complex, and underlined the limits of these models, in their present form, to assess trace metal bioavailability in the field. We suggest that to improve model predictions, kinetic models need to be complemented, particularly by further assessing the influence of abiotic factors on trace metal uptake, and the relative contribution of the trophic route in the contamination of gammarids.
•Kinetic models of metal bioaccumulation were field-tested in gammarids at a national-wide scale.•Models underestimated Ni, Pb, and Cd bioaccumulation in field-transplanted gammarids.•Ni, Pb and Cd bioaccumulation cannot be linked to dissolved metal concentrations using the models in their present form.</description><identifier>ISSN: 0043-1354</identifier><identifier>EISSN: 1879-2448</identifier><identifier>DOI: 10.1016/j.watres.2016.03.023</identifier><identifier>PMID: 27016643</identifier><language>eng</language><publisher>England: Elsevier Ltd</publisher><subject>Amphipoda ; Amphipods ; Animals ; Bioaccumulation ; Biokinetic model ; Biomonitoring ; Contamination ; Environmental Monitoring ; Field validation ; Lead (metal) ; Life Sciences ; Links ; Mathematical models ; Metal uptake ; Metals ; Models, Theoretical ; Nickel ; Scale (ratio) ; Trace Elements ; Trace metals ; Water chemistry ; Water Pollutants, Chemical</subject><ispartof>Water research (Oxford), 2016-05, Vol.95, p.330-339</ispartof><rights>2016 Elsevier Ltd</rights><rights>Copyright © 2016 Elsevier Ltd. All rights reserved.</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c462t-637da8cbbbc58c4fb80cb037435d748107839a876619a9b5ba0bf587c688d72e3</citedby><cites>FETCH-LOGICAL-c462t-637da8cbbbc58c4fb80cb037435d748107839a876619a9b5ba0bf587c688d72e3</cites><orcidid>0000-0002-8174-1614 ; 0000-0001-7760-4644 ; 0000-0002-5008-7488 ; 0000-0002-3379-0040 ; 0000-0003-0583-5966 ; 0000-0002-6831-8408 ; 0000-0001-9132-3419</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0043135416301506$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>230,314,776,780,881,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27016643$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://agroparistech.hal.science/hal-01569657$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Urien, N.</creatorcontrib><creatorcontrib>Lebrun, J.D.</creatorcontrib><creatorcontrib>Fechner, L.C.</creatorcontrib><creatorcontrib>Uher, E.</creatorcontrib><creatorcontrib>François, A.</creatorcontrib><creatorcontrib>Quéau, H.</creatorcontrib><creatorcontrib>Coquery, M.</creatorcontrib><creatorcontrib>Chaumot, A.</creatorcontrib><creatorcontrib>Geffard, O.</creatorcontrib><title>Environmental relevance of laboratory-derived kinetic models to predict trace metal bioaccumulation in gammarids: Field experimentation at a large spatial scale (France)</title><title>Water research (Oxford)</title><addtitle>Water Res</addtitle><description>Kinetic models have become established tools for describing trace metal bioaccumulation in aquatic organisms and offer a promising approach for linking water contamination to trace metal bioaccumulation in biota. Nevertheless, models are based on laboratory-derived kinetic parameters, and the question of their relevance to predict trace metal bioaccumulation in the field is poorly addressed. In the present study, we propose to assess the capacity of kinetic models to predict trace metal bioaccumulation in gammarids in the field at a wide spatial scale. The field validation consisted of measuring dissolved Cd, Cu, Ni and Pb concentrations in the water column at 141 sites in France, running the models with laboratory-derived kinetic parameters, and comparing model predictions and measurements of trace metal concentrations in gammarids caged for 7 days to the same sites. We observed that gammarids poorly accumulated Cu showing the limited relevance of that species to monitor Cu contamination. Therefore, Cu was not considered for model predictions. In contrast, gammarids significantly accumulated Pb, Cd, and Ni over a wide range of exposure concentrations. These results highlight the relevance of using gammarids for active biomonitoring to detect spatial trends of bioavailable Pb, Cd, and Ni contamination in freshwaters. The best agreements between model predictions and field measurements were observed for Cd with 71% of good estimations (i.e. field measurements were predicted within a factor of two), which highlighted the potential for kinetic models to link Cd contamination to bioaccumulation in the field. The poorest agreements were observed for Ni and Pb (39% and 48% of good estimations, respectively). However, models developed for Ni, Pb, and to a lesser extent for Cd, globally underestimated bioaccumulation in caged gammarids. These results showed that the link between trace metal concentration in water and in biota remains complex, and underlined the limits of these models, in their present form, to assess trace metal bioavailability in the field. We suggest that to improve model predictions, kinetic models need to be complemented, particularly by further assessing the influence of abiotic factors on trace metal uptake, and the relative contribution of the trophic route in the contamination of gammarids.
•Kinetic models of metal bioaccumulation were field-tested in gammarids at a national-wide scale.•Models underestimated Ni, Pb, and Cd bioaccumulation in field-transplanted gammarids.•Ni, Pb and Cd bioaccumulation cannot be linked to dissolved metal concentrations using the models in their present form.</description><subject>Amphipoda</subject><subject>Amphipods</subject><subject>Animals</subject><subject>Bioaccumulation</subject><subject>Biokinetic model</subject><subject>Biomonitoring</subject><subject>Contamination</subject><subject>Environmental Monitoring</subject><subject>Field validation</subject><subject>Lead (metal)</subject><subject>Life Sciences</subject><subject>Links</subject><subject>Mathematical models</subject><subject>Metal uptake</subject><subject>Metals</subject><subject>Models, Theoretical</subject><subject>Nickel</subject><subject>Scale (ratio)</subject><subject>Trace Elements</subject><subject>Trace metals</subject><subject>Water chemistry</subject><subject>Water Pollutants, Chemical</subject><issn>0043-1354</issn><issn>1879-2448</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNks1uEzEUhUcIREPhDRDysl1MsMce28MCqaoaWikSG1hb_rkpDp5xsJ1AH4m3xNOULgsry1ffOedK9zTNW4KXBBP-frv8qUuCvOzqb4npEnf0WbMgUgxtx5h83iwwZrQltGcnzauctxjjrqPDy-akE1XDGV00v6-mg09xGmEqOqAEAQ56soDiBgVtYtIlprvWQfIHcOi7n6B4i8boIGRUItolcN4WVJKuqhFmF-OjtnY_7oMuPk7IT-hWj6NO3uUPaOUhOAS_dtXzPvae0QXpmphuAeVdHVWbbHUAdLZK80Lnr5sXGx0yvHl4T5uvq6svl9ft-vOnm8uLdWsZ70rLqXBaWmOM7aVlGyOxNZgKRnsnmCRYSDpoKTgngx5MbzQ2m14Ky6V0ogN62pwffb_poHZ1RZ3uVNReXV-s1TzDpOcD78WBVPbsyO5S_LGHXNTos4UQ9ARxnxWRhGPBeE3_Jyrq4TjmkvwPyknHh352ZUfUpphzgs3jxgSruSZqq441UXNNFKaq1qTK3j0k7M0I7lH0txcV-HgE6pXh4CGpbD3UMzifwBblon864Q8mzNIK</recordid><startdate>20160515</startdate><enddate>20160515</enddate><creator>Urien, N.</creator><creator>Lebrun, J.D.</creator><creator>Fechner, L.C.</creator><creator>Uher, E.</creator><creator>François, A.</creator><creator>Quéau, H.</creator><creator>Coquery, M.</creator><creator>Chaumot, A.</creator><creator>Geffard, O.</creator><general>Elsevier Ltd</general><general>IWA Publishing/Elsevier</general><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>7X8</scope><scope>7QH</scope><scope>7TV</scope><scope>7UA</scope><scope>C1K</scope><scope>F1W</scope><scope>H97</scope><scope>L.G</scope><scope>8FD</scope><scope>FR3</scope><scope>KR7</scope><scope>1XC</scope><orcidid>https://orcid.org/0000-0002-8174-1614</orcidid><orcidid>https://orcid.org/0000-0001-7760-4644</orcidid><orcidid>https://orcid.org/0000-0002-5008-7488</orcidid><orcidid>https://orcid.org/0000-0002-3379-0040</orcidid><orcidid>https://orcid.org/0000-0003-0583-5966</orcidid><orcidid>https://orcid.org/0000-0002-6831-8408</orcidid><orcidid>https://orcid.org/0000-0001-9132-3419</orcidid></search><sort><creationdate>20160515</creationdate><title>Environmental relevance of laboratory-derived kinetic models to predict trace metal bioaccumulation in gammarids: Field experimentation at a large spatial scale (France)</title><author>Urien, N. ; Lebrun, J.D. ; Fechner, L.C. ; Uher, E. ; François, A. ; Quéau, H. ; Coquery, M. ; Chaumot, A. ; Geffard, O.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c462t-637da8cbbbc58c4fb80cb037435d748107839a876619a9b5ba0bf587c688d72e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Amphipoda</topic><topic>Amphipods</topic><topic>Animals</topic><topic>Bioaccumulation</topic><topic>Biokinetic model</topic><topic>Biomonitoring</topic><topic>Contamination</topic><topic>Environmental Monitoring</topic><topic>Field validation</topic><topic>Lead (metal)</topic><topic>Life Sciences</topic><topic>Links</topic><topic>Mathematical models</topic><topic>Metal uptake</topic><topic>Metals</topic><topic>Models, Theoretical</topic><topic>Nickel</topic><topic>Scale (ratio)</topic><topic>Trace Elements</topic><topic>Trace metals</topic><topic>Water chemistry</topic><topic>Water Pollutants, Chemical</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Urien, N.</creatorcontrib><creatorcontrib>Lebrun, J.D.</creatorcontrib><creatorcontrib>Fechner, L.C.</creatorcontrib><creatorcontrib>Uher, E.</creatorcontrib><creatorcontrib>François, A.</creatorcontrib><creatorcontrib>Quéau, H.</creatorcontrib><creatorcontrib>Coquery, M.</creatorcontrib><creatorcontrib>Chaumot, A.</creatorcontrib><creatorcontrib>Geffard, O.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>Aqualine</collection><collection>Pollution Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Environmental Sciences and Pollution Management</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><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><collection>Hyper Article en Ligne (HAL)</collection><jtitle>Water research (Oxford)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Urien, N.</au><au>Lebrun, J.D.</au><au>Fechner, L.C.</au><au>Uher, E.</au><au>François, A.</au><au>Quéau, H.</au><au>Coquery, M.</au><au>Chaumot, A.</au><au>Geffard, O.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Environmental relevance of laboratory-derived kinetic models to predict trace metal bioaccumulation in gammarids: Field experimentation at a large spatial scale (France)</atitle><jtitle>Water research (Oxford)</jtitle><addtitle>Water Res</addtitle><date>2016-05-15</date><risdate>2016</risdate><volume>95</volume><spage>330</spage><epage>339</epage><pages>330-339</pages><issn>0043-1354</issn><eissn>1879-2448</eissn><abstract>Kinetic models have become established tools for describing trace metal bioaccumulation in aquatic organisms and offer a promising approach for linking water contamination to trace metal bioaccumulation in biota. Nevertheless, models are based on laboratory-derived kinetic parameters, and the question of their relevance to predict trace metal bioaccumulation in the field is poorly addressed. In the present study, we propose to assess the capacity of kinetic models to predict trace metal bioaccumulation in gammarids in the field at a wide spatial scale. The field validation consisted of measuring dissolved Cd, Cu, Ni and Pb concentrations in the water column at 141 sites in France, running the models with laboratory-derived kinetic parameters, and comparing model predictions and measurements of trace metal concentrations in gammarids caged for 7 days to the same sites. We observed that gammarids poorly accumulated Cu showing the limited relevance of that species to monitor Cu contamination. Therefore, Cu was not considered for model predictions. In contrast, gammarids significantly accumulated Pb, Cd, and Ni over a wide range of exposure concentrations. These results highlight the relevance of using gammarids for active biomonitoring to detect spatial trends of bioavailable Pb, Cd, and Ni contamination in freshwaters. The best agreements between model predictions and field measurements were observed for Cd with 71% of good estimations (i.e. field measurements were predicted within a factor of two), which highlighted the potential for kinetic models to link Cd contamination to bioaccumulation in the field. The poorest agreements were observed for Ni and Pb (39% and 48% of good estimations, respectively). However, models developed for Ni, Pb, and to a lesser extent for Cd, globally underestimated bioaccumulation in caged gammarids. These results showed that the link between trace metal concentration in water and in biota remains complex, and underlined the limits of these models, in their present form, to assess trace metal bioavailability in the field. We suggest that to improve model predictions, kinetic models need to be complemented, particularly by further assessing the influence of abiotic factors on trace metal uptake, and the relative contribution of the trophic route in the contamination of gammarids.
•Kinetic models of metal bioaccumulation were field-tested in gammarids at a national-wide scale.•Models underestimated Ni, Pb, and Cd bioaccumulation in field-transplanted gammarids.•Ni, Pb and Cd bioaccumulation cannot be linked to dissolved metal concentrations using the models in their present form.</abstract><cop>England</cop><pub>Elsevier Ltd</pub><pmid>27016643</pmid><doi>10.1016/j.watres.2016.03.023</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0002-8174-1614</orcidid><orcidid>https://orcid.org/0000-0001-7760-4644</orcidid><orcidid>https://orcid.org/0000-0002-5008-7488</orcidid><orcidid>https://orcid.org/0000-0002-3379-0040</orcidid><orcidid>https://orcid.org/0000-0003-0583-5966</orcidid><orcidid>https://orcid.org/0000-0002-6831-8408</orcidid><orcidid>https://orcid.org/0000-0001-9132-3419</orcidid></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0043-1354 |
ispartof | Water research (Oxford), 2016-05, Vol.95, p.330-339 |
issn | 0043-1354 1879-2448 |
language | eng |
recordid | cdi_hal_primary_oai_HAL_hal_01569657v1 |
source | MEDLINE; Elsevier ScienceDirect Journals |
subjects | Amphipoda Amphipods Animals Bioaccumulation Biokinetic model Biomonitoring Contamination Environmental Monitoring Field validation Lead (metal) Life Sciences Links Mathematical models Metal uptake Metals Models, Theoretical Nickel Scale (ratio) Trace Elements Trace metals Water chemistry Water Pollutants, Chemical |
title | Environmental relevance of laboratory-derived kinetic models to predict trace metal bioaccumulation in gammarids: Field experimentation at a large spatial scale (France) |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-07T05%3A07%3A49IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_hal_p&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Environmental%20relevance%20of%20laboratory-derived%20kinetic%20models%20to%20predict%20trace%20metal%20bioaccumulation%20in%20gammarids:%20Field%20experimentation%20at%20a%20large%20spatial%20scale%20(France)&rft.jtitle=Water%20research%20(Oxford)&rft.au=Urien,%20N.&rft.date=2016-05-15&rft.volume=95&rft.spage=330&rft.epage=339&rft.pages=330-339&rft.issn=0043-1354&rft.eissn=1879-2448&rft_id=info:doi/10.1016/j.watres.2016.03.023&rft_dat=%3Cproquest_hal_p%3E1787960681%3C/proquest_hal_p%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1786126954&rft_id=info:pmid/27016643&rft_els_id=S0043135416301506&rfr_iscdi=true |