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.

Who Suffers Most when Disease Outbreaks and Food Recalls Happen? The Case of Mad Cow Disease in the United States

It is generally observed that whenever there are cases of disease outbreaks and food recalls, such as the case of the 2003 Mad Cow Disease (Bovine Spongiform Encephalopathy or BSE) outbreak, cattle and beef prices fall. Given these incidents, there is the question of which part of the marketing chain is the most affected. For those who produce live cattle, such as feedlot operators, the question is ‘what effect these events have on price and demand for beef and cattle?’ Similarly, how do the Food Safety Inspection Service (FSIS) recalls and diseases such as Mad Cow Disease outbreaks affect the beef marketing margins at all levels in the U.S. beef marketing chain? Identifying these effects along the marketing chain provides insight into which level along that channel is the most vulnerable to these events. In addition, this information helps to assess the impact of such events on the industry, providing a basis for policy formulation.

SIGNIFICANCE AND CONTROL OF FUNGAL DISEASES RELATED TO BIRD ROOSTS

Certain fungi have been found frequently as saprophytes in areas containing large amounts of bird excreta. These fungi have the ability to survive, multiply, and cause disease once they have entered a host. Two of these are Crypto-coccus neoformans and Histoplasma capsulatum. Both may easily become airborne and be disseminated throughout an area by the prevailing winds. C. neo-formans is commonly isolated from the excreta of pigeon habitats, and in turn has been associated with clinical cases of cryptococcosis, while blackbird roosts, harboring H. capsulatum, have been responsible for several outbreaks of histoplasmosis. When either of these fungi have become established in nature, the sites may become foci for infection and epidemics may occur if the sites are disturbed. This has led to investigation of these organisms with respect to: 1) the frequency of isolation of H. capsulatum from the soil beneath blackbird roosts in a histoplasmosis endemic area; 2) the infectivity of undisturbed roosts positive for H. capsulatum; and 3) the effectiveness of chemical decontamination of areas containing C. neoformans or H. capsulatum.