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Realism and relevance of ecological models used in chemical risk assessment

Ecological models have been developed and used in management of renewable natural resources, conservation biology, and assessments of ecological risks posed by toxic chemicals and other stressors. Because few models have been developed specifically for use in assessing chemical risks, this study examines the realism and relevance of a wide range of ecological models from the perspective of assessing toxicological risks posed by chemicals.

Treatments of uncertainty and variability in ecological risk assessment of single-species populations

The selection of the most appropriate model for an ecological risk assessment depends on the application, the data and resources available, the knowledge base of the assessor, the relevant endpoints, and the extent to which the model deals with uncertainty. Since ecological systems are highly variable and our knowledge of model input parameters is uncertain, it is important that models include treatments of uncertainty and variability, and that results are reported in this light. In this paper we discuss treatments of variation and uncertainty in a variety of population models.

Analysis and portrayal of uncertainty in a food-web exposure model

Using population models for conservation management of an endangered Australian plant, Grevillea caleyi

A population viability analysis for a long lived perennial: Xanthorrhoea resinifera

The use of decision-making tools in systematic conservation planning

A methodological framework for the California Legacy Project

Palynological and AVHRR observations of modern vegetational gradients in eastern North America

Podcast: Alaska's Exceptional Salmon Data

Podcast: Alaska's Exceptional Salmon Data. How A Massive Dataset and A Set of Rural Communities Are Helping to Sustain Alaska's Salmon

Climatically forced vegetation dynamics in North America during the Late-Quaternary