The extrapolation problem and how population modeling can help.
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Density-dependent processes in the life history of fishes: evidence from laboratory populations of zebrafish Danio rerioIntegrated presentation of ecological risk from multiple stressorsDeveloping demographic toxicity data: optimizing effort for predicting population outcomesThe pros and cons of ecological risk assessment based on data from different levels of biological organizationUtility of population models to reduce uncertainty and increase value relevance in ecological risk assessments of pesticides: an example based on acute mortality data for daphnids.Improving mesocosm data analysis through individual-based modelling of control population dynamics: a case study with mosquitofish (Gambusia holbrooki).Evaluation of suitable endpoints for assessing the impacts of toxicants at the community level.Effects of zinc on CarE activities and its gene transcript level in the English grain aphid, Sitobion avenaeEnvironmental risk assessment of fluctuating diazinon concentrations in an urban and agricultural catchment using toxicokinetic-toxicodynamic modeling.An individual-based model of zebrafish population dynamics accounting for energy dynamicsSubmerged macrophytes mitigate direct and indirect insecticide effects in freshwater communities.Toward the definition of specific protection goals for the environmental risk assessment of chemicals: A perspective on environmental regulation in Europe.Understanding the individual to implement the ecosystem approach to fisheries management.Impaired ecosystem process despite little effects on populations: modeling combined effects of warming and toxicants.Systems biology: leading the revolution in ecotoxicology.Assessing pesticide risks to threatened and endangered species using population models: Findings and recommendations from a CropLife America Science Forum.Endocrine disruption in aquatic systems: up-scaling research to address ecological consequences.Assessing the risks of pesticides to threatened and endangered species using population modeling: A critical review and recommendations for future work.Development and application of the SSD approach in scientific case studies for ecological risk assessment.Linking mechanistic toxicology to population models in forecasting recovery from chemical stress: A case study from Jackfish Bay, Ontario, Canada.Stakeholders' perspective on ecological modeling in environmental risk assessment of pesticides: challenges and opportunities.Modelling populations of Lygus hesperus on cotton fields in the San Joaquin Valley of California: the importance of statistical and mathematical model choice.Estimating the effects of 17α-ethinylestradiol on stochastic population growth rate of fathead minnows: a population synthesis of empirically derived vital rates.Incorporating variability in point estimates in risk assessment: Bridging the gap between LC50 and population endpoints.Comparison of species sensitivity distributions based on population or individual endpoints.Assessment of status of white sucker (Catostomus commersoni) populations exposed to bleached kraft pulp mill effluent.Deconstructing the surrogate species concept: a life history approach to the protection of ecosystem services.Estimating population-level HC5 for copper using a species sensitivity distribution approach.Developing predictive systems models to address complexity and relevance for ecological risk assessment.Combination of a higher-tier flow-through system and population modeling to assess the effects of time-variable exposure of isoproturon on the green algae Desmodesmus subspicatus and Pseudokirchneriella subcapitata.Predicted mixture toxic pressure relates to observed fraction of benthic macrofauna species impacted by contaminant mixtures.Ecological risk assessment of herbicides in Japan: Integrating spatiotemporal variation in exposure and effects using a multimedia model and algal density dynamics models.Ecological models in ecotoxicology and ecological risk assessment: an introduction to the special section.Use of the ecosystem services concept in ecological risk assessment of chemicals.A comparison of simple and complex population models to reduce uncertainty in ecological risk assessments of chemicals: example with three species of Daphnia.Modeling the contribution of toxicokinetic and toxicodynamic processes to the recovery of Gammarus pulex populations after exposure to pesticides.Life-history phenology strongly influences population vulnerability to toxicants: a case study with the mudsnail Potamopyrgus antipodarum.Effects of a bioassay-derived ivermectin lowest observed effect concentration on life-cycle traits of the nematode Caenorhabditis elegans.A critical body residue approach for predicting persistent bioaccumulative toxicant effects on reproduction and population dynamics of meiobenthic copepods.A Perspective on Modern Pesticides, Pelagic Fish Declines, and Unknown Ecological Resilience in Highly Managed Ecosystems
P2860
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P2860
The extrapolation problem and how population modeling can help.
description
article científic
@ca
article scientifique
@fr
articolo scientifico
@it
artigo científico
@pt
bilimsel makale
@tr
scientific article published on October 2008
@en
vedecký článok
@sk
vetenskaplig artikel
@sv
videnskabelig artikel
@da
vědecký článek
@cs
name
The extrapolation problem and how population modeling can help.
@en
The extrapolation problem and how population modeling can help.
@nl
type
label
The extrapolation problem and how population modeling can help.
@en
The extrapolation problem and how population modeling can help.
@nl
prefLabel
The extrapolation problem and how population modeling can help.
@en
The extrapolation problem and how population modeling can help.
@nl
P356
P1476
The extrapolation problem and how population modeling can help
@en
P2093
Peter Calow
P304
P356
10.1897/08-029.1
P577
2008-10-01T00:00:00Z