State–space models (SSMs) are an important modeling framework for analyzing ecological
time series. These hierarchical models are commonly used to model population dynamics …

Structured demographic models are among the most common and useful tools in population
biology. However, the introduction of integral projection models (IPMs) has caused a …

Abstract Marine Protected Areas (MPAs) are being implemented worldwide, yet there are
few cases where managers make specific predictions of the response of previously …

The establishment of protected natural areas worldwide has surged in the last decade, with
more protected area coverage expected in the future. In the case of marine protected areas …

Adaptive management of marine protected areas (MPAs) requires develo** methods to
evaluate whether monitoring data indicate that they are performing as expected. Modeling …

The management and conservation of natural populations relies heavily on concepts and
results generated from models of population dynamics. Yet this is the first book to present a …

Dynamic population models typically aim to predict demography and the resulting
population dynamics in relation to environmental variation. However, they rarely include the …

It is the exceptionally rare case one can directly and with little uncertainty measure fish
absolute abundance through many stock generations in all areas of a stock's range. Instead …

Adaptive management of marine protected areas (MPAs) to determine whether they are
meeting their intended goals requires predicting how soon those goals will be realized …

Coastal habitats (eg, seagrass beds, shallow mud, and sand flats) strongly influence
survival, growth, and reproduction of marine fish and invertebrate species. Many of these …