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 …

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

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 …

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

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 …

The number of protected areas that restrict or prohibit harvest of wild populations is growing.
In general, protected areas are expected to increase the abundance of previously‐harvested …

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 …

Abstract Marine Protected Areas (MPAs) are increasingly established globally as a spatial
management tool to aid in conservation and fisheries management objectives. Assessing …