How should ecologists and evolutionary biologists analyze nonnormal data that involve
random effects? Nonnormal data such as counts or proportions often defy classical statistical …

Recognition of the importance of intraspecific variation in ecological processes has been
growing, but empirical studies and models of global change have only begun to address this …

Individual-based models are an exciting and widely used new tool for ecology. These
computational models allow scientists to explore the mechanisms through which population …

Over the past 30 years, one of the most rapidly expanding areas in ecology has been the
development of structured population models, where individuals have attributes such as …

Matrix projection models occupy a central role in population and conservation biology.
Matrix models divide a population into discrete classes, even if the structuring trait exhibits …

Population dynamics result from the interplay of density-independent and density-
dependent processes. Understanding this interplay is important, especially for being able to …

Spatial population dynamics can seldom be ignored in management aimed at conserving or
controlling plant species in a spatial context. Therefore, spatial population models, that bring …

Most population models assume that individuals have equal opportunities for survival and
reproduction, although many natural populations consist of individuals with different vital …

Coastal and estuarine (CE) areas are essential fish habitats; they act as nurseries for a large
proportion of species of fisheries interest but face high levels of cumulative anthropogenic …

Matrix models are popular tools for plant demographic studies, but their application to long‐
lived, slow‐growing species is hampered by the fact that (i) model output is highly sensitive …