Theoretically exploring direct and indirect chemical effects across ecological and exposure scenarios using mechanistic fate and effects modelling
Predicting ecosystem response to chemicals is a complex problem in ecotoxicology and a challenge for risk assessors. The variables potentially influencing chemical fate and exposure define the exposure scenario while the variables determining effects at the ecosystem level define the ecological scen...
Ausführliche Beschreibung
Autor*in: |
Baveco, H [verfasserIn] |
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Format: |
Artikel |
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Sprache: |
Englisch |
Erschienen: |
2015 |
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Rechteinformationen: |
Nutzungsrecht: Copyright © 2014 Elsevier Ltd. All rights reserved. © Wageningen UR |
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Schlagwörter: |
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Übergeordnetes Werk: |
Enthalten in: Environment international - New York, NY [u.a.] : Pergamon Press, 1978, 74(2015), Seite 181-190 |
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Übergeordnetes Werk: |
volume:74 ; year:2015 ; pages:181-190 |
Links: |
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DOI / URN: |
10.1016/j.envint.2014.10.012 |
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OLC1962415120 |
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10.1016/j.envint.2014.10.012 doi PQ20160617 (DE-627)OLC1962415120 (DE-599)GBVOLC1962415120 (PRQ)c3182-ed73ee8fd42999afb10992b8c5360cc0529578d808356527cd57ea1784c069d0 (KEY)0003785020150000074000000181theoreticallyexploringdirectandindirectchemicaleff DE-627 ger DE-627 rakwb eng 610 600 690 DNB Baveco, H verfasserin aut Theoretically exploring direct and indirect chemical effects across ecological and exposure scenarios using mechanistic fate and effects modelling 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Predicting ecosystem response to chemicals is a complex problem in ecotoxicology and a challenge for risk assessors. The variables potentially influencing chemical fate and exposure define the exposure scenario while the variables determining effects at the ecosystem level define the ecological scenario. In absence of any empirical data, the objective of this paper is to present simulations by a fugacity-based fate model and a differential equation-based ecosystem model to theoretically explore how direct and indirect effects on invertebrate shallow pond communities vary with changing ecological and exposure scenarios. These simulations suggest that direct and indirect effects are larger in mesotrophic systems than in oligotrophic systems. In both trophic states, interaction strength (quantified using grazing rates) was suggested a more important driver for the size and recovery from direct and indirect effects than immigration rate. In general, weak interactions led to smaller direct and indirect effects. For chemicals targeting mesozooplankton only, indirect effects were common in (simple) food-chains but rare in (complex) food-webs. For chemicals directly affecting microzooplankton, the dominant zooplankton group in the modelled community, indirect effects occurred both in food-chains and food-webs. We conclude that the choice of the ecological and exposure scenarios in ecotoxicological modelling efforts needs to be justified because of its influence on the prevalence and magnitude of the predicted effects. Overall, more work needs to be done to empirically test the theoretical expectations formulated here. Nutzungsrecht: Copyright © 2014 Elsevier Ltd. All rights reserved. © Wageningen UR Alterra - Environmental risk assessment Extern other Extern overig Laender, de, F oth Morselli, M oth Brink, van den, P.J oth Di Guardo, A oth Enthalten in Environment international New York, NY [u.a.] : Pergamon Press, 1978 74(2015), Seite 181-190 (DE-627)130256250 (DE-600)554791-X (DE-576)019338546 0160-4120 nnns volume:74 year:2015 pages:181-190 http://dx.doi.org/10.1016/j.envint.2014.10.012 Volltext http://library.wur.nl/WebQuery/wurpubs/479440 http://www.ncbi.nlm.nih.gov/pubmed/25454235 http://www.narcis.nl/publication/RecordID/oai:library.wur.nl:wurpubs%2F479440 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-UMW SSG-OLC-ARC SSG-OLC-TEC SSG-OLC-FOR SSG-OLC-IBL SSG-OLC-PHA SSG-OLC-DE-84 GBV_ILN_70 GBV_ILN_4012 AR 74 2015 181-190 |
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10.1016/j.envint.2014.10.012 doi PQ20160617 (DE-627)OLC1962415120 (DE-599)GBVOLC1962415120 (PRQ)c3182-ed73ee8fd42999afb10992b8c5360cc0529578d808356527cd57ea1784c069d0 (KEY)0003785020150000074000000181theoreticallyexploringdirectandindirectchemicaleff DE-627 ger DE-627 rakwb eng 610 600 690 DNB Baveco, H verfasserin aut Theoretically exploring direct and indirect chemical effects across ecological and exposure scenarios using mechanistic fate and effects modelling 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Predicting ecosystem response to chemicals is a complex problem in ecotoxicology and a challenge for risk assessors. The variables potentially influencing chemical fate and exposure define the exposure scenario while the variables determining effects at the ecosystem level define the ecological scenario. In absence of any empirical data, the objective of this paper is to present simulations by a fugacity-based fate model and a differential equation-based ecosystem model to theoretically explore how direct and indirect effects on invertebrate shallow pond communities vary with changing ecological and exposure scenarios. These simulations suggest that direct and indirect effects are larger in mesotrophic systems than in oligotrophic systems. In both trophic states, interaction strength (quantified using grazing rates) was suggested a more important driver for the size and recovery from direct and indirect effects than immigration rate. In general, weak interactions led to smaller direct and indirect effects. For chemicals targeting mesozooplankton only, indirect effects were common in (simple) food-chains but rare in (complex) food-webs. For chemicals directly affecting microzooplankton, the dominant zooplankton group in the modelled community, indirect effects occurred both in food-chains and food-webs. We conclude that the choice of the ecological and exposure scenarios in ecotoxicological modelling efforts needs to be justified because of its influence on the prevalence and magnitude of the predicted effects. Overall, more work needs to be done to empirically test the theoretical expectations formulated here. Nutzungsrecht: Copyright © 2014 Elsevier Ltd. All rights reserved. © Wageningen UR Alterra - Environmental risk assessment Extern other Extern overig Laender, de, F oth Morselli, M oth Brink, van den, P.J oth Di Guardo, A oth Enthalten in Environment international New York, NY [u.a.] : Pergamon Press, 1978 74(2015), Seite 181-190 (DE-627)130256250 (DE-600)554791-X (DE-576)019338546 0160-4120 nnns volume:74 year:2015 pages:181-190 http://dx.doi.org/10.1016/j.envint.2014.10.012 Volltext http://library.wur.nl/WebQuery/wurpubs/479440 http://www.ncbi.nlm.nih.gov/pubmed/25454235 http://www.narcis.nl/publication/RecordID/oai:library.wur.nl:wurpubs%2F479440 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-UMW SSG-OLC-ARC SSG-OLC-TEC SSG-OLC-FOR SSG-OLC-IBL SSG-OLC-PHA SSG-OLC-DE-84 GBV_ILN_70 GBV_ILN_4012 AR 74 2015 181-190 |
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10.1016/j.envint.2014.10.012 doi PQ20160617 (DE-627)OLC1962415120 (DE-599)GBVOLC1962415120 (PRQ)c3182-ed73ee8fd42999afb10992b8c5360cc0529578d808356527cd57ea1784c069d0 (KEY)0003785020150000074000000181theoreticallyexploringdirectandindirectchemicaleff DE-627 ger DE-627 rakwb eng 610 600 690 DNB Baveco, H verfasserin aut Theoretically exploring direct and indirect chemical effects across ecological and exposure scenarios using mechanistic fate and effects modelling 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Predicting ecosystem response to chemicals is a complex problem in ecotoxicology and a challenge for risk assessors. The variables potentially influencing chemical fate and exposure define the exposure scenario while the variables determining effects at the ecosystem level define the ecological scenario. In absence of any empirical data, the objective of this paper is to present simulations by a fugacity-based fate model and a differential equation-based ecosystem model to theoretically explore how direct and indirect effects on invertebrate shallow pond communities vary with changing ecological and exposure scenarios. These simulations suggest that direct and indirect effects are larger in mesotrophic systems than in oligotrophic systems. In both trophic states, interaction strength (quantified using grazing rates) was suggested a more important driver for the size and recovery from direct and indirect effects than immigration rate. In general, weak interactions led to smaller direct and indirect effects. For chemicals targeting mesozooplankton only, indirect effects were common in (simple) food-chains but rare in (complex) food-webs. For chemicals directly affecting microzooplankton, the dominant zooplankton group in the modelled community, indirect effects occurred both in food-chains and food-webs. We conclude that the choice of the ecological and exposure scenarios in ecotoxicological modelling efforts needs to be justified because of its influence on the prevalence and magnitude of the predicted effects. Overall, more work needs to be done to empirically test the theoretical expectations formulated here. Nutzungsrecht: Copyright © 2014 Elsevier Ltd. All rights reserved. © Wageningen UR Alterra - Environmental risk assessment Extern other Extern overig Laender, de, F oth Morselli, M oth Brink, van den, P.J oth Di Guardo, A oth Enthalten in Environment international New York, NY [u.a.] : Pergamon Press, 1978 74(2015), Seite 181-190 (DE-627)130256250 (DE-600)554791-X (DE-576)019338546 0160-4120 nnns volume:74 year:2015 pages:181-190 http://dx.doi.org/10.1016/j.envint.2014.10.012 Volltext http://library.wur.nl/WebQuery/wurpubs/479440 http://www.ncbi.nlm.nih.gov/pubmed/25454235 http://www.narcis.nl/publication/RecordID/oai:library.wur.nl:wurpubs%2F479440 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-UMW SSG-OLC-ARC SSG-OLC-TEC SSG-OLC-FOR SSG-OLC-IBL SSG-OLC-PHA SSG-OLC-DE-84 GBV_ILN_70 GBV_ILN_4012 AR 74 2015 181-190 |
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10.1016/j.envint.2014.10.012 doi PQ20160617 (DE-627)OLC1962415120 (DE-599)GBVOLC1962415120 (PRQ)c3182-ed73ee8fd42999afb10992b8c5360cc0529578d808356527cd57ea1784c069d0 (KEY)0003785020150000074000000181theoreticallyexploringdirectandindirectchemicaleff DE-627 ger DE-627 rakwb eng 610 600 690 DNB Baveco, H verfasserin aut Theoretically exploring direct and indirect chemical effects across ecological and exposure scenarios using mechanistic fate and effects modelling 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Predicting ecosystem response to chemicals is a complex problem in ecotoxicology and a challenge for risk assessors. The variables potentially influencing chemical fate and exposure define the exposure scenario while the variables determining effects at the ecosystem level define the ecological scenario. In absence of any empirical data, the objective of this paper is to present simulations by a fugacity-based fate model and a differential equation-based ecosystem model to theoretically explore how direct and indirect effects on invertebrate shallow pond communities vary with changing ecological and exposure scenarios. These simulations suggest that direct and indirect effects are larger in mesotrophic systems than in oligotrophic systems. In both trophic states, interaction strength (quantified using grazing rates) was suggested a more important driver for the size and recovery from direct and indirect effects than immigration rate. In general, weak interactions led to smaller direct and indirect effects. For chemicals targeting mesozooplankton only, indirect effects were common in (simple) food-chains but rare in (complex) food-webs. For chemicals directly affecting microzooplankton, the dominant zooplankton group in the modelled community, indirect effects occurred both in food-chains and food-webs. We conclude that the choice of the ecological and exposure scenarios in ecotoxicological modelling efforts needs to be justified because of its influence on the prevalence and magnitude of the predicted effects. Overall, more work needs to be done to empirically test the theoretical expectations formulated here. Nutzungsrecht: Copyright © 2014 Elsevier Ltd. All rights reserved. © Wageningen UR Alterra - Environmental risk assessment Extern other Extern overig Laender, de, F oth Morselli, M oth Brink, van den, P.J oth Di Guardo, A oth Enthalten in Environment international New York, NY [u.a.] : Pergamon Press, 1978 74(2015), Seite 181-190 (DE-627)130256250 (DE-600)554791-X (DE-576)019338546 0160-4120 nnns volume:74 year:2015 pages:181-190 http://dx.doi.org/10.1016/j.envint.2014.10.012 Volltext http://library.wur.nl/WebQuery/wurpubs/479440 http://www.ncbi.nlm.nih.gov/pubmed/25454235 http://www.narcis.nl/publication/RecordID/oai:library.wur.nl:wurpubs%2F479440 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-UMW SSG-OLC-ARC SSG-OLC-TEC SSG-OLC-FOR SSG-OLC-IBL SSG-OLC-PHA SSG-OLC-DE-84 GBV_ILN_70 GBV_ILN_4012 AR 74 2015 181-190 |
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10.1016/j.envint.2014.10.012 doi PQ20160617 (DE-627)OLC1962415120 (DE-599)GBVOLC1962415120 (PRQ)c3182-ed73ee8fd42999afb10992b8c5360cc0529578d808356527cd57ea1784c069d0 (KEY)0003785020150000074000000181theoreticallyexploringdirectandindirectchemicaleff DE-627 ger DE-627 rakwb eng 610 600 690 DNB Baveco, H verfasserin aut Theoretically exploring direct and indirect chemical effects across ecological and exposure scenarios using mechanistic fate and effects modelling 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Predicting ecosystem response to chemicals is a complex problem in ecotoxicology and a challenge for risk assessors. The variables potentially influencing chemical fate and exposure define the exposure scenario while the variables determining effects at the ecosystem level define the ecological scenario. In absence of any empirical data, the objective of this paper is to present simulations by a fugacity-based fate model and a differential equation-based ecosystem model to theoretically explore how direct and indirect effects on invertebrate shallow pond communities vary with changing ecological and exposure scenarios. These simulations suggest that direct and indirect effects are larger in mesotrophic systems than in oligotrophic systems. In both trophic states, interaction strength (quantified using grazing rates) was suggested a more important driver for the size and recovery from direct and indirect effects than immigration rate. In general, weak interactions led to smaller direct and indirect effects. For chemicals targeting mesozooplankton only, indirect effects were common in (simple) food-chains but rare in (complex) food-webs. For chemicals directly affecting microzooplankton, the dominant zooplankton group in the modelled community, indirect effects occurred both in food-chains and food-webs. We conclude that the choice of the ecological and exposure scenarios in ecotoxicological modelling efforts needs to be justified because of its influence on the prevalence and magnitude of the predicted effects. Overall, more work needs to be done to empirically test the theoretical expectations formulated here. Nutzungsrecht: Copyright © 2014 Elsevier Ltd. All rights reserved. © Wageningen UR Alterra - Environmental risk assessment Extern other Extern overig Laender, de, F oth Morselli, M oth Brink, van den, P.J oth Di Guardo, A oth Enthalten in Environment international New York, NY [u.a.] : Pergamon Press, 1978 74(2015), Seite 181-190 (DE-627)130256250 (DE-600)554791-X (DE-576)019338546 0160-4120 nnns volume:74 year:2015 pages:181-190 http://dx.doi.org/10.1016/j.envint.2014.10.012 Volltext http://library.wur.nl/WebQuery/wurpubs/479440 http://www.ncbi.nlm.nih.gov/pubmed/25454235 http://www.narcis.nl/publication/RecordID/oai:library.wur.nl:wurpubs%2F479440 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-UMW SSG-OLC-ARC SSG-OLC-TEC SSG-OLC-FOR SSG-OLC-IBL SSG-OLC-PHA SSG-OLC-DE-84 GBV_ILN_70 GBV_ILN_4012 AR 74 2015 181-190 |
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theoretically exploring direct and indirect chemical effects across ecological and exposure scenarios using mechanistic fate and effects modelling |
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Theoretically exploring direct and indirect chemical effects across ecological and exposure scenarios using mechanistic fate and effects modelling |
abstract |
Predicting ecosystem response to chemicals is a complex problem in ecotoxicology and a challenge for risk assessors. The variables potentially influencing chemical fate and exposure define the exposure scenario while the variables determining effects at the ecosystem level define the ecological scenario. In absence of any empirical data, the objective of this paper is to present simulations by a fugacity-based fate model and a differential equation-based ecosystem model to theoretically explore how direct and indirect effects on invertebrate shallow pond communities vary with changing ecological and exposure scenarios. These simulations suggest that direct and indirect effects are larger in mesotrophic systems than in oligotrophic systems. In both trophic states, interaction strength (quantified using grazing rates) was suggested a more important driver for the size and recovery from direct and indirect effects than immigration rate. In general, weak interactions led to smaller direct and indirect effects. For chemicals targeting mesozooplankton only, indirect effects were common in (simple) food-chains but rare in (complex) food-webs. For chemicals directly affecting microzooplankton, the dominant zooplankton group in the modelled community, indirect effects occurred both in food-chains and food-webs. We conclude that the choice of the ecological and exposure scenarios in ecotoxicological modelling efforts needs to be justified because of its influence on the prevalence and magnitude of the predicted effects. Overall, more work needs to be done to empirically test the theoretical expectations formulated here. |
abstractGer |
Predicting ecosystem response to chemicals is a complex problem in ecotoxicology and a challenge for risk assessors. The variables potentially influencing chemical fate and exposure define the exposure scenario while the variables determining effects at the ecosystem level define the ecological scenario. In absence of any empirical data, the objective of this paper is to present simulations by a fugacity-based fate model and a differential equation-based ecosystem model to theoretically explore how direct and indirect effects on invertebrate shallow pond communities vary with changing ecological and exposure scenarios. These simulations suggest that direct and indirect effects are larger in mesotrophic systems than in oligotrophic systems. In both trophic states, interaction strength (quantified using grazing rates) was suggested a more important driver for the size and recovery from direct and indirect effects than immigration rate. In general, weak interactions led to smaller direct and indirect effects. For chemicals targeting mesozooplankton only, indirect effects were common in (simple) food-chains but rare in (complex) food-webs. For chemicals directly affecting microzooplankton, the dominant zooplankton group in the modelled community, indirect effects occurred both in food-chains and food-webs. We conclude that the choice of the ecological and exposure scenarios in ecotoxicological modelling efforts needs to be justified because of its influence on the prevalence and magnitude of the predicted effects. Overall, more work needs to be done to empirically test the theoretical expectations formulated here. |
abstract_unstemmed |
Predicting ecosystem response to chemicals is a complex problem in ecotoxicology and a challenge for risk assessors. The variables potentially influencing chemical fate and exposure define the exposure scenario while the variables determining effects at the ecosystem level define the ecological scenario. In absence of any empirical data, the objective of this paper is to present simulations by a fugacity-based fate model and a differential equation-based ecosystem model to theoretically explore how direct and indirect effects on invertebrate shallow pond communities vary with changing ecological and exposure scenarios. These simulations suggest that direct and indirect effects are larger in mesotrophic systems than in oligotrophic systems. In both trophic states, interaction strength (quantified using grazing rates) was suggested a more important driver for the size and recovery from direct and indirect effects than immigration rate. In general, weak interactions led to smaller direct and indirect effects. For chemicals targeting mesozooplankton only, indirect effects were common in (simple) food-chains but rare in (complex) food-webs. For chemicals directly affecting microzooplankton, the dominant zooplankton group in the modelled community, indirect effects occurred both in food-chains and food-webs. We conclude that the choice of the ecological and exposure scenarios in ecotoxicological modelling efforts needs to be justified because of its influence on the prevalence and magnitude of the predicted effects. Overall, more work needs to be done to empirically test the theoretical expectations formulated here. |
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title_short |
Theoretically exploring direct and indirect chemical effects across ecological and exposure scenarios using mechanistic fate and effects modelling |
url |
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