Dear MARMAM colleagues,

We are pleased to announce that the following paper is now available online::

Enrico Pirotta, Lisa K. Schwarz, Daniel P. Costa, Patrick W. Robinson, and 
Leslie New (2019). Modeling the functional link between movement, feeding 
activity, and condition in a marine predator. Behavioral Ecology.

Abstract:

The ability to quantify animals’ feeding activity and the resulting changes in 
their body condition as they move in the environment is fundamental to our 
understanding of a population’s ecology. We use satellite tracking data from 
northern elephant seals (Mirounga angustirostris), paired with simultaneous 
diving information, to develop a Bayesian state-space model that concurrently 
estimates an individual’s location, feeding activity, and changes in condition. 
The model identifies important foraging areas and times, the relative amount of 
feeding occurring therein, and thus the different behavioral strategies in 
which the seals engage. The fitness implications of these strategies can be 
assessed by looking at the resulting variation in individuals’ condition, which 
in turn affects the condition and survival of their offspring. Therefore, our 
results shed light on the processes affecting an individual’s decision-making 
as it moves and feeds in the environment. In addition, we demonstrate how the 
model can be used to simulate realistic patterns of disturbance at different 
stages of the trip, and how the predicted accumulation of lipid reserves varies 
as a consequence. Particularly, disturbing an animal in periods of high feeding 
activity or shortly after leaving the colony was predicted to have the 
potential to lead to starvation. In contrast, an individual could compensate 
even for very severe disturbance if such disturbance occurred outside the main 
foraging grounds. Our modeling approach is applicable to marine mammal species 
that perform drift dives and can be extended to other species where an 
individual’s buoyancy can be inferred from its diving behavior..

A PDF copy of the paper can be downloaded from:

https://academic.oup.com/beheco/advance-article/doi/10.1093/beheco/ary183/5262697

Please do not hesitate to contact me for any question regarding our work.

Best Regards, and Happy New Year!
Enrico Pirotta
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