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

Increasing the knowledge of approaches to estimate the status of data-limited stocks is of
crucial importance since the vast majority of stocks are data-limited, ie, there is not enough …

State‐space models are an increasingly common and important tool in the quantitative
ecologists' armoury, particularly for the analysis of time‐series data. This is due to both their …

Understanding the recovery of whale populations is critical for developing population-
management and conservation strategies. The southern right whale (SRW) Eubalena …

Human activities in the oceans are increasing and can result in additional mortality on many
marine Protected, Endangered or Threatened Species (PETS). It is necessary to implement …

Predicting the dynamics of harvested species is essential for assessing stock status and
establishing index-based management strategies. However, conventional approaches for …

Identification of key drivers of population dynamics and prediction of rates of population
recovery following stock decline are crucial aspects of fisheries management. The …

The choice of assessment technique for a fishery with some, but not large amounts of data
(intermediate data fishery), can be complex and depends on their suitability to the available …

Population and community ecology traditionally has a very strong theoretical foundation with
well‐known dynamical models, such as the logistic and its variations, and many …

The establishment of managerial approaches for the sustainable use of fishery resources
depends on a critical understanding of the stock status. The Monte Carlo catch maximum …