Abstract: Context. Livestock producers worldwide are negatively affected by livestock losses because of predators and wildlife-transmitted diseases. In the western Great Lakes Region of the United States, this conflict has increased as grey wolf (Canis lupus) populations have recovered and white-tailed deer (Odocoileus virginianus) have served as a wildlife reservoir for bovine tuberculosis (Myobacterium bovis).Aims. We conducted field experiments on cattle farms to evaluate the effectiveness of livestock-protection dogs (LPDs) for excluding wolves, coyotes (C. latrans), white-tailed deer and mesopredators from livestock pastures.Methods. We integrated LPDs on six cattle farms (treatment) and monitored wildlife use with tracking swaths on these farms, concurrent with three control cattle farms during 2005-2008. The amount of time deer spent in livestock pastures was recorded using direct observation.Key results. Livestock pastures protected by LPDs had reduced use by these wildlife compared with control pastures not protected by LPDs. White-tailed deer spent less time in livestock pastures protected by LPDs compared with control pastures not protected by LPDs.Conclusions. Our research supports the theory that LPDs can be an effective management tool for reducing predation and disease transmission. We also demonstrate that LPDs are not limited to being used only with sheep and goats; they can also be used to protect cattle.Implications. On the basis of our findings, we support the use of LPDs as a proactive management tool that producers can implement to minimise the threat of livestock depredations and transmission of disease from wildlife to livestock. LPDs should be investigated further as a more general conservation tool for protecting valuable wildlife, such as ground-nesting birds, that use livestock pastures and are affected by predators that use these pastures.

Abstract: The existence of 'animal personality', i.e. consistent individual differences in behaviour across time and contexts, is an evolutionary puzzle that has recently generated considerable research interest. Although social factors are generally considered to be important, it is as yet unclear how they might select for personality. Drawing from ecological niche theory, we explore how social conflict and alternative social options can be key factors in the evolution and development of consistent individual differences in behaviour. We discuss how animal personality research might benefit from insights into the study of alternative tactics and illustrate how selection can favour behavioural diversification and consistency due to fitness benefits resulting from conflict reduction among social partners.

Abstract: Rural communities are changing. Depopulation and unemployment is accompanied by the advance of new perspectives on nature, where protection trumps resource extraction. These developments are perceived as threatening by rural working-class people with close ties to traditional land use ? a situation they often meet with cultural resistance. Cultural resistance is not necessarily launched against institutionalized power, nor does it necessarily imply a desire for fundamental social change. It should rather be seen as a struggle for autonomy. However, autonomy does not entail influence outside the cultural realm. Struggles to uphold traditional rural lifestyles ? for example by denouncing the current nature conservation regime ? could be understood in much the same conceptual framework as Willis employed in ?Learning to labour?. Based on an ethnographic study of the conflicts over wolf protection, we demonstrate that ?the Hammertown mechanism? is of a more general nature than often implied in the discussion of Willis? work.

Abstract: The innovation process is currently undergoing significant change in many industries. The World Wide Web has created a virtual world of collective intelligence and helped large groups of people connect and collaborate in the innovation process [1]. Von Hippel [2], for instance, states that a large number of users of a given technology will come up with innovative ideas. This process, originating in business, is now also being observed in science. Discussions around “Citizen Science” [3] and “Science 2.0” [4] suggest the same effects are relevant for fundamental research practices. “Crowdsourcing” [5] and “Open Innovation” [6] as well as other names for those paradigms, like Peer Production, Wikinomics, Swarm Intelligence etc., have become buzzwords in recent years. However, serious academic research efforts have also been started in many disciplines. In essence, these buzzwords all describe a form of collective intelligence that is enabled by new technologies, particularly internet connectivity. The focus of most current research on this topic is in the for-profit domain, i.e. organizations willing (and able) to pay large sums to source innovation externally, for instance through innovation contests. Our research is testing the applicability of Crowdsourcing and some techniques from Open Innovation to the scientific method and basic science in a non-profit environment (e.g., a traditional research university). If the tools are found to be useful, this may significantly change how some research tasks are conducted: While large, apriori unknown crowds of “irrational agents” (i.e. humans) are used to support scientists (and teams thereof) in several research tasks through the internet, the usefulness and robustness of these interactions as well as scientifically important factors like quality and validity of research results are tested in a systematic manner. The research is highly interdisciplinary and is done in collaboration with scientists from sociology, psychology, management science, economics, computer science, and artificial intelligence. After a pre-study, extensive data collection has been conducted and the data is currently being analyzed. The paper presents ideas and hypotheses and opens the discussion for further input.