The primary indices of abundance for many of the world's most valuable species (eg tunas)
and vulnerable species (eg sharks) are based on catch and effort data collected from …

This paper provides an overview of the modelling process using generalized linear models
(GLMs), generalized additive models (GAMs) and generalized linear mixed models …

Potential fishery benefits of Marine Protected Areas (MPAs) are widely acknowledged, yet
seldom demonstrated, as fishery data series that straddle MPA establishment are seldom …

The zero-inflated negative binomial (ZINB) regression model with smoothing is introduced
for modeling count data with many zero-valued observations, and its use is illustrated with …

When identifying potential trophic cascades, it is important to clearly establish the trophic
linkages between predators and prey with respect to temporal abundance, demographics …

Understanding and reducing the incidence of accidental bycatch, particularly for vulnerable
species such as sharks, is a major challenge for contemporary fisheries management. Here …

The statistical analysis of continuous data that is non-negative is a common task in
quantitative ecology. An example, and our motivation, is the weight of a given fish species in …

Purpose Quantitative uncertainties are a direct consequence of averaging, a common
procedure when building life cycle inventories (LCIs). This averaging can be amongst …

The US population of smalltooth sawfish, Pristis pectinata, is currently listed as endangered
under the Endangered Species Act. An important component of monitoring the recovery of …

Abundance indices are difficult to derive from multispecies catch-per-unit-effort (CPUE) data
as these critically rely on the ability to account for targeting behaviour that directs effort …