Suchergebnisse

Recently, there has been growing interest in the study of the biology of free-ranging cats and their effects on wildlife, generating new estimates of cat densities and predation rates. Although such biological data are important to consider when formulating management strategies, they have done little to stifle conflict between stakeholder groups or reduce the number of cats on the landscape and their ecological impacts. In many cases, this research has actually rekindled debate, often pitting wildlife biologists against animal welfare organizations and the general public. While some social science research regarding human perceptions of free-ranging cats exists, these studies are often initiated after conflict has occurred or after a controversial management strategy has been implemented. Furthermore, few studies have focused on the perceptions of owned free-ranging cats, although these cats may comprise a large proportion of cats on the landscape. The most effective, humane, and socially-acceptable management strategies will involve front-end integration of both social and biological science information as well as inclusion of diverse stakeholders. Our ongoing research provides a framework that wildlife managers, pest managers, animal protection organizations, and local government entities can use to develop socially-relevant and biologically-effective management programs for owned free-ranging domestic cats. This framework involves social science research methods grounded in social psychological theories to help predict human thought and behavior, as well as biological methods to assess cat impacts. Lastly, using our own research as a model, our framework compiles guiding principles that help managers develop effective communication programs aimed at promoting conservation-relevant behaviors.

Camera trapping surveys frequently capture individuals whose identity is only known from a single flank. The most widely used methods for incorporating these partial identity individuals into density analyses discard some of the partial identity capture histories, reducing precision, and, while not previously recognized, introducing bias. Here, we present the spatial partial identity model (SPIM), which uses the spatial location where partial identity samples are captured to probabilistically resolve their complete identities, allowing all partial identity samples to be used in the analysis. We show that the SPIM outperforms other analytical alternatives. We then apply the SPIM to an ocelot data set collected on a trapping array with double-camera stations and a bobcat data set collected on a trapping array with single-camera stations. The SPIM improves inference in both cases and, in the ocelot example, individual sex is determined from photographs used to further resolve partial identities-one of which is resolved to near certainty. The SPIM opens the door for the investigation of trapping designs that deviate from the standard two camera design, the combination of other data types between which identities cannot be deterministically linked, and can be extended to the problem of partial genotypes. ; Public domain authored by a U.S. government employee