On the relationships between bioassays and dynamics in chemically stressed, aquatic population models

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One purpose of this article is to synthesize some recent results on the dynamics of mathematical models of chemically stressed aquatic populations and communities; in particular, we (1) illustrate some of the difficulties that might arise from extrapolation of bioassay results to dynamic, chemically...

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Autores principales: Hallam, Thomas G., Canziani, Graciela A., Lika, Konstadia
Formato: Artículo publishedVersion
Lenguaje:Inglés
Publicado: Asociación Argentina de Ecología 1996
Acceso en línea:https://hdl.handle.net/20.500.12110/ecologiaaustral_v006_n01_p045
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires
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spelling ecologiaaustral:ecologiaaustral_v006_n01_p0452025-03-28T09:34:57Z On the relationships between bioassays and dynamics in chemically stressed, aquatic population models Ecol. austral (En línea) 1996;01(006):045-054 Hallam, Thomas G. Canziani, Graciela A. Lika, Konstadia One purpose of this article is to synthesize some recent results on the dynamics of mathematical models of chemically stressed aquatic populations and communities; in particular, we (1) illustrate some of the difficulties that might arise from extrapolation of bioassay results to dynamic, chemically stressed population and community models; and (2) indicate different ways in which chemicals can affect the dynamics of population models. Bioassays, an important component of ecological impact and risk assessment, can be misleading if extrapolated to settings beyond experimental boundaries. Extrapolation of bioassays to the populations and community levels can not be direct because derived information is usually specific for a subset of individuals and obtained under experimental constraints on time and parameters. We present examples derived from a mathematical setting where consequences of bioassays, even when employed as the fundamental determinant of stress in the systeni, have no predictable relationship to the ultimate effect of the chemical on the system. The first illustration, at the population level, demonstrates that sublethal effects of a lipophilic chemical with a reversible mode of action on individuals attained at concentrations well below the LC50, indeed even below the EC50 for growth, can drive the population to extinction so that the chemically stressed population is much more severely damaged than predicted by hioassays. The second illustration at the community level indicates that results of bioassays can also indicate outcomes that (ire worse than actually occurs for the community. Finally, we compare the outcome of a spectral analysis of time series of a sequence of chemically stressed populations, demonstrating that complex effects of lipophilic chemicals on population dynamics are not readily identifiahle from spectral signatures. Asociación Argentina de Ecología 1996-12 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf eng info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar https://hdl.handle.net/20.500.12110/ecologiaaustral_v006_n01_p045
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
language Inglés
orig_language_str_mv eng
description One purpose of this article is to synthesize some recent results on the dynamics of mathematical models of chemically stressed aquatic populations and communities; in particular, we (1) illustrate some of the difficulties that might arise from extrapolation of bioassay results to dynamic, chemically stressed population and community models; and (2) indicate different ways in which chemicals can affect the dynamics of population models. Bioassays, an important component of ecological impact and risk assessment, can be misleading if extrapolated to settings beyond experimental boundaries. Extrapolation of bioassays to the populations and community levels can not be direct because derived information is usually specific for a subset of individuals and obtained under experimental constraints on time and parameters. We present examples derived from a mathematical setting where consequences of bioassays, even when employed as the fundamental determinant of stress in the systeni, have no predictable relationship to the ultimate effect of the chemical on the system. The first illustration, at the population level, demonstrates that sublethal effects of a lipophilic chemical with a reversible mode of action on individuals attained at concentrations well below the LC50, indeed even below the EC50 for growth, can drive the population to extinction so that the chemically stressed population is much more severely damaged than predicted by hioassays. The second illustration at the community level indicates that results of bioassays can also indicate outcomes that (ire worse than actually occurs for the community. Finally, we compare the outcome of a spectral analysis of time series of a sequence of chemically stressed populations, demonstrating that complex effects of lipophilic chemicals on population dynamics are not readily identifiahle from spectral signatures.
format Artículo
Artículo
publishedVersion
author Hallam, Thomas G.
Canziani, Graciela A.
Lika, Konstadia
spellingShingle Hallam, Thomas G.
Canziani, Graciela A.
Lika, Konstadia
On the relationships between bioassays and dynamics in chemically stressed, aquatic population models
author_facet Hallam, Thomas G.
Canziani, Graciela A.
Lika, Konstadia
author_sort Hallam, Thomas G.
title On the relationships between bioassays and dynamics in chemically stressed, aquatic population models
title_short On the relationships between bioassays and dynamics in chemically stressed, aquatic population models
title_full On the relationships between bioassays and dynamics in chemically stressed, aquatic population models
title_fullStr On the relationships between bioassays and dynamics in chemically stressed, aquatic population models
title_full_unstemmed On the relationships between bioassays and dynamics in chemically stressed, aquatic population models
title_sort on the relationships between bioassays and dynamics in chemically stressed, aquatic population models
publisher Asociación Argentina de Ecología
publishDate 1996
url https://hdl.handle.net/20.500.12110/ecologiaaustral_v006_n01_p045
work_keys_str_mv AT hallamthomasg ontherelationshipsbetweenbioassaysanddynamicsinchemicallystressedaquaticpopulationmodels
AT canzianigracielaa ontherelationshipsbetweenbioassaysanddynamicsinchemicallystressedaquaticpopulationmodels
AT likakonstadia ontherelationshipsbetweenbioassaysanddynamicsinchemicallystressedaquaticpopulationmodels
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