Ian D. Jonsen

TL;DR: In this paper, the authors show that the likelihood of tested models was calculated from residuals of regression fits (an incorrect method), rather than from the likelihood equations of the actual probability distributions being tested, which resulted in erroneous Akaike Information Criteria and the testing of models that do not correspond to valid probability distributions.

TL;DR: It is suggested that over a season, changes in prey availability are predictable enough for individuals to shift foraging area in response, with limited associated energetic costs.

TL;DR: An approach based on hidden Markov models, which splits foraging trips into segments labeled as "outbound", "search", "forage", and "inbound", is described, which is able to develop realistic simulations from the fitted model.

TL;DR: In this article, the authors applied a terrestrial road ecology framework to examine the ecological impacts of increased global shipping on "marine giants" (ie great whales, basking sharks [Cetorhinus maximus], and whale sharks [Rhincodon typus]).

TL;DR: The technique to identify a prey capture signature for little penguins from accelerometry is developed and it is shown that accelerometry signatures can classify the behaviour of wild animals at unprecedentedly fine scales.