Using applied social science disciplines to implement creative outdoor cat management solutions and avoid the trap of one-size-fits-all policies.

In the United States, policy conflicts have prevented successful population-level management of outdoor cats for decades. Wildlife conservation professionals have sought widespread use of humane dispatch (i.e.

Understanding conflicting cultural models of outdoor cats to overcome conservation impasse.

Many conservation conflicts are scientifically complex yet are rooted in value conflicts, which result in an impasse. Additional biological information alone is insufficient to resolve this type of conflict. Conceptual models that articulate the material aspects of a system are increasingly used to identify areas where parties disagree.

Risk-enhancing behaviors associated with human injuries from bison encounters at Yellowstone National Park, 2000-2015.

Yellowstone National Park is home to the largest bison population on public land in the United States. Although Yellowstone regulations require visitors to remain at least 23 m from bison, since 1980, bison have injured more visitors to Yellowstone than any other animal. We examined a series of bison-related injuries at Yellowstone to evaluate the circumstances of these injuries and to identify common risk-enhancing behaviors that lead to injury.

Understanding risk perceptions to enhance communication about human-wildlife interactions and the impacts of zoonotic disease.

Inclusion of wildlife in the concept of One Health is important for two primary reasons: (1) the physical health of humans, domesticated animals, and wildlife is linked inextricably through shared diseases, and (2) humans' emotional well-being can be affected by their perceptions of animal health. Although an explicit premise of the One Health Initiative is that healthy wildlife contribute to human health, and vice versa, the initiative also suggests implicitly that wildlife may pose threats to human health through zoonotic disease transmission. As people learn more about One Health, an important question surfaces: How will they react to communications carrying the message that human health and wildlife health are linked? In the absence of adequate relevant research data, we recommend caution in the production and dissemination of One Health messages because of possible unintended or collateral effects.

Automatic classification and speaker identification of African elephant (Loxodonta africana) vocalizations.

A hidden Markov model (HMM) system is presented for automatically classifying African elephant vocalizations. The development of the system is motivated by successful models from human speech analysis and recognition. Classification features include frequency-shifted Mel-frequency cepstral coefficients (MFCCs) and log energy, spectrally motivated features which are commonly used in human speech processing.