Food of the Atlantic Croaker, Micropogonias undulatus, from Mississippi Sound and the Gulf of Mexico

The diet of the Atlantic croaker from Mississippi Sound has been examined for the first time. Over 83 taxa were encountered, or more than were reported from croaker in any other region. We also found 60 taxa, 36 of which overlapped with the above, in croaker from various offshore stations in the Gulf of Mexico. In Mississippi Sound the frequency of occurrcnce of items revealed primarily crustaceans followed by polychaetes, molluscs, fishes, and less common items, and, in the open Gulf, molluscs appeared slightly more often than in inshore croaker and than polychaetes in offshore fish. The diets were assessed according to length of fish, season, depth of water, and locality.

Food of the Red Drum, Sciaenops ocellata, from Mississippi Sound

Examined digestive tracts of the red drum in Mississippi Sound contained mostly decapod crustaceans. Crustaceans accounted for 34 of 59 encountered taxa, more than reported from any other region. Nevertheless, the general diet for 104 fish with food contents out of the 107 examined is similar to that reported for red drum in several other studies from other areas. In addition to crustaceans, fishes followed by polychaetes occurred as the most important items (in 99, 43, and 15% of the drum with food, respectively). Blue crabs occurred in even more drum than the frequently encountered penaeid shrimps. Other commercial species were negligible in the diet. Sixteen large drum from Georgia beaches were also examined; unlike those from Mississippi, many of these contained echinoderms, but not polychaetes or penaeids. We suggest that the red drum’s migrations may be regulated by optimal abundance of specific types of dietary organisms.

A General Framework for the Analysis of Animal Resource Selection from Telemetry Data

We propose a general framework for the analysis of animal telemetry data through the use of weighted distributions. It is shown that several interpretations of resource selection functions arise when constructed from the ratio of a use and availability distribution. Through the proposed general framework, several popular resource selection models are shown to be special cases of the general model by making assumptions about animal movement and behavior. The weighted distribution framework is shown to be easily extended to readily account for telemetry data that are highly auto-correlated; as is typical with use of new technology such as global positioning systems animal relocations. An analysis of simulated data using several models constructed within the proposed framework is also presented to illustrate the possible gains from the flexible modeling framework. The proposed model is applied to a brown bear data set from southeast Alaska.