Cargando…

Sublethal toxicant effects with dynamic energy budget theory: model formulation

We develop and test a general modeling framework to describe the sublethal effects of pollutants by adding toxicity modules to an established dynamic energy budget (DEB) model. The DEB model describes the rates of energy acquisition and expenditure by individual organisms; the toxicity modules descr...

Descripción completa

Detalles Bibliográficos
Autores principales: Muller, Erik B., Nisbet, Roger M., Berkley, Heather A.
Formato: Texto
Lenguaje:English
Publicado: Springer US 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2797403/
https://www.ncbi.nlm.nih.gov/pubmed/19633955
http://dx.doi.org/10.1007/s10646-009-0385-3
_version_ 1782175612901785600
author Muller, Erik B.
Nisbet, Roger M.
Berkley, Heather A.
author_facet Muller, Erik B.
Nisbet, Roger M.
Berkley, Heather A.
author_sort Muller, Erik B.
collection PubMed
description We develop and test a general modeling framework to describe the sublethal effects of pollutants by adding toxicity modules to an established dynamic energy budget (DEB) model. The DEB model describes the rates of energy acquisition and expenditure by individual organisms; the toxicity modules describe how toxicants affect these rates by changing the value of one or more DEB parameters, notably the parameters quantifying the rates of feeding and maintenance. We investigate four toxicity modules that assume: (1) effects on feeding only; (2) effects on maintenance only; (3) effects on feeding and maintenance with similar values for the toxicity parameters; and (4) effects on feeding and maintenance with different values for the toxicity parameters. We test the toxicity modules by fitting each to published data on feeding, respiration, growth and reproduction. Among the pollutants tested are metals (mercury and copper) and various organic compounds (chlorophenols, toluene, polycyclic aromatic hydrocarbons, tetradifon and pyridine); organisms include mussels, oysters, earthworms, water fleas and zebrafish. In most cases, the data sets could be adequately described with any of the toxicity modules, and no single module gave superior fits to all data sets. We therefore propose that for many applications, it is reasonable to use the most general and parameter sparse module, i.e. module 3 that assumes similar effects on feeding and maintenance, as a default. For one example (water fleas), we use parameter estimates to calculate the impact of food availability and toxicant levels on the long term population growth rate.
format Text
id pubmed-2797403
institution National Center for Biotechnology Information
language English
publishDate 2009
publisher Springer US
record_format MEDLINE/PubMed
spelling pubmed-27974032009-12-29 Sublethal toxicant effects with dynamic energy budget theory: model formulation Muller, Erik B. Nisbet, Roger M. Berkley, Heather A. Ecotoxicology Article We develop and test a general modeling framework to describe the sublethal effects of pollutants by adding toxicity modules to an established dynamic energy budget (DEB) model. The DEB model describes the rates of energy acquisition and expenditure by individual organisms; the toxicity modules describe how toxicants affect these rates by changing the value of one or more DEB parameters, notably the parameters quantifying the rates of feeding and maintenance. We investigate four toxicity modules that assume: (1) effects on feeding only; (2) effects on maintenance only; (3) effects on feeding and maintenance with similar values for the toxicity parameters; and (4) effects on feeding and maintenance with different values for the toxicity parameters. We test the toxicity modules by fitting each to published data on feeding, respiration, growth and reproduction. Among the pollutants tested are metals (mercury and copper) and various organic compounds (chlorophenols, toluene, polycyclic aromatic hydrocarbons, tetradifon and pyridine); organisms include mussels, oysters, earthworms, water fleas and zebrafish. In most cases, the data sets could be adequately described with any of the toxicity modules, and no single module gave superior fits to all data sets. We therefore propose that for many applications, it is reasonable to use the most general and parameter sparse module, i.e. module 3 that assumes similar effects on feeding and maintenance, as a default. For one example (water fleas), we use parameter estimates to calculate the impact of food availability and toxicant levels on the long term population growth rate. Springer US 2009-07-25 2010 /pmc/articles/PMC2797403/ /pubmed/19633955 http://dx.doi.org/10.1007/s10646-009-0385-3 Text en © The Author(s) 2009 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.
spellingShingle Article
Muller, Erik B.
Nisbet, Roger M.
Berkley, Heather A.
Sublethal toxicant effects with dynamic energy budget theory: model formulation
title Sublethal toxicant effects with dynamic energy budget theory: model formulation
title_full Sublethal toxicant effects with dynamic energy budget theory: model formulation
title_fullStr Sublethal toxicant effects with dynamic energy budget theory: model formulation
title_full_unstemmed Sublethal toxicant effects with dynamic energy budget theory: model formulation
title_short Sublethal toxicant effects with dynamic energy budget theory: model formulation
title_sort sublethal toxicant effects with dynamic energy budget theory: model formulation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2797403/
https://www.ncbi.nlm.nih.gov/pubmed/19633955
http://dx.doi.org/10.1007/s10646-009-0385-3
work_keys_str_mv AT mullererikb sublethaltoxicanteffectswithdynamicenergybudgettheorymodelformulation
AT nisbetrogerm sublethaltoxicanteffectswithdynamicenergybudgettheorymodelformulation
AT berkleyheathera sublethaltoxicanteffectswithdynamicenergybudgettheorymodelformulation