科研之友
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摘要
Maintaining the viability of populations of plants and animals is a key focus for environmental regulation Population level responses integrate the cumulative effects of chemical stressors on individuals as those individuals interact with and are affected by their conspecifics, competitors predators, prey habitat and other biotic and abiotic factors Models of population level effects of contaminants can integrate information from lower levels of biological organization and feed that information into higher level community and ecosystem models As individual level endpoints are used to predict population responses this requires that biological responses at lower levels of organization be translated Into a form that is usable by the population modeler In the current study we describe how mechanistic data as captured in adverse outcome pathways (AOPs) can be translated Into modeling focused on population level risk assessments First we describe the regulatory context surrounding population modeling, risk assessment and the emerging role of AOPs Then we present a succinct overview of different approaches to population modeling and discuss the types of data needed for these models We describe how different key biological processes measured at the level of the individual serve as the linkage or bridge between AOPs and predictions of population status including consideration of community level interactions and genetic adaptation Several case examples illustrate the potential for use of AOPs in population modeling and predictive ecotoxicology Finally we make recommendatio
- 出版日期2011-1
