It’s all about Trust and Loyalty: Partner Selection Mechanisms in Tourism Networks

Does expected partner or task related criteria affect how trust and loyalty is developed between tourism firms? This paper poses a model, which is developed on the assumption that well defined partner and task related partner expectations and experienced trust, should build loyalty between tourism firms. The model provides a more precise assessment for scholars, which believes that trust is related to the risk that is associated with personal relationships between two or more firms, and that risk depends on expectations that are derived from personal relationships. The model also integrates the role of experienced trust in transforming different partner selection criteria into loyalty. The contribution of the model is that it provides insights into cooperative relationships by examining the role of trust between small tourism firms when cooperation is established. Data from a sample of 96 tourism firms in the Northern U.S. is used to test the model. The findings provide implications for tourism scholars and policy-makers who are interested in developing managerial strategies that are based on personal relationships

It’s all about Trust and Loyalty: Partner Selection Mechanisms in Tourism Networks

Does expected partner or task related criteria affect how trust and loyalty is developed between tourism firms? This paper poses a model, which is developed on the assumption that well defined partner and task related partner expectations and experienced trust, should build loyalty between tourism firms. The model provides a more precise assessment for scholars, which believes that trust is related to the risk that is associated with personal relationships between two or more firms, and that risk depends on expectations that are derived from personal relationships. The model also integrates the role of experienced trust in transforming different partner selection criteria into loyalty. The contribution of the model is that it provides insights into cooperative relationships by examining the role of trust between small tourism firms when cooperation is established. Data from a sample of 96 tourism firms in the Northern U.S. is used to test the model. The findings provide implications for tourism scholars and policy-makers who are interested in developing managerial strategies that are based on personal relationships.Loyalty; partner selection; trust; tourism; Experience stratos

Bridging human mobility to animal activity: when humans are away, bears will play

In the Anthropocene, findings on animal behavioral flexibility in response to anthropogenic changes are accumulating: human presence and activity affect the distribution, movement, activity rhythm, physiology, and diet of animal species. However, conclusions are limited by the lack of simultaneous quantitative data on both the animal and human side. Hence, the dynamic link between animal behavior and human activity and mobility is often poorly estimated. Based on long-term monitoring of a wild bear population in the Trentino region (10 bears monitored from 2006 to 2019; 20 bear-years) combined with human mobility data (Cumulative Outdoor activity Index, derived from the Strava Global Heatmap) and tourist count records, we investigated how spatial behavior and activity rhythms of bears change with variations in experienced human disturbance. We found that bears were mainly nocturnal and that, on an annual scale, nocturnality was associated with movement behavior, but both were independent of experienced human disturbance. Furthermore, nocturnality tended to increase in periods of more intense exploitation of outdoor areas by humans. Overall, these preliminary findings show that bears exhibit a notable behavioral flexibility to minimize their exposure to human presence. Through the application of different sources of human activity data, this work showcases that the integration of high resolution animal movement data with dynamic data on human mobility is crucial to meaningfully catch wildlife responses to anthropisation

Brown bear multi-scale response to human presence and mobility in the Italian Alps

In an increasingly human-dominated world, wildlife is constrained by human presence and activity, inducing behavioural adjustments as a consequence. Large mammals are especially sensitive to such changes, questioning the potential of their behavioural flexibility to cope with human disturbance. Using brown bears in the Italian Alps as a study case, we investigated their response to changes in human presence over different temporal scales. Combining human mobility data with bear tracking and activity data spanning from 2006 to 2019, we analysed bears’ behaviour and movement as a function of human activities. We observed that over the years bear activity and daily movement length have increased, while diurnality and range size have decreased. While tourism has grown in parallel, this was not identified as the main driver of such responses. Rather, it was mostly due to the increase in bear population, whose space is nonetheless limited by human infrastructure. At a weekly scale, we observed no difference in daily movement lengths between weekdays and weekends. This might perhaps be because of the continuous human disturbance in the area overall. Finally, at the daily scale, we found that individuals roamed in places more intensively exploited by humans at night compared to daytime, especially when ranging in heavily disturbed areas. Our results highlight how humans are indirectly, by hampering connectivity, and directly, through disturbance, shaping brown bear behaviour and movement. In view of a growing volume of outdoor human activity, we analyze the implications of such responses and present challenges for human-wildlife coexistence

Ecological and behavioral drivers of supplemental feeding use by roe deer Capreolus capreolus in a peri-urban context

Winter supplemental feeding of ungulates potentially alters their use of resources and ecological interactions, yet relatively little is known about the patterns of feeding sites use by target populations. We used camera traps to continuously monitor winter and spring feeding site use in a roe deer population living in a peri-urban area in Northern Italy. We combined circular statistics with generalized additive and linear mixed models to analyze the diel and seasonal pattern of roe deer visits to feeding sites, and the behavioral drivers influencing visit duration. Roe deer visits peaked at dawn and dusk, and decreased from winter to spring when vegetation regrows and temperature increases. Roe deer mostly visited feeding sites solitarily; when this was not the case, they stayed longer at the site, especially when conspecifics were eating, but maintained a bimodal diel pattern of visits. These results support an opportunistic use of feeding sites, following seasonal cycles and the roe deer circadian clock. Yet, the attractiveness of these artificial resources has the potential to alter intra-specific relationships, as competition for their use induces gatherings and may extend the contact time between individuals, with potential behavioral and epidemiological consequences

Population assessment without individual identification using camera-traps: a comparison of four methods

The use of camera traps to estimate population size when animals are not individually recognizable is gaining traction in the ecological literature, because of its applicability in population conservation and management. We estimated population size of synthetic animals with four camera trap sampling-based statistical models that do not rely on individual recognition. Using a realistic model of animal movement to generate synthetic data, we compared the random encounter model, the random encounter and staying time model, the association model and the time-to-event-model and we investigated the impact of violation of assumptions on the population size estimates. While under ideal conditions these models provide reliable population estimates, when synthetic animal movements were characterised by differences in speed (due to diverse behaviours such as locomotion, grazing and resting) none of the model provided both unbiased and precise density estimates. The random encounter model and the time-to-event-model provided pre- cise results but tended to overestimate population size, while the random encounter and staying time model was less precise and tended to underestimate population size. Lastly, the association model was unable to provide precise results. We found that each tested model was very sensitive to the method used to estimate the range of the field-of-view of camera traps. Density esti- mates from both random encounter model and time-to-event-model were also very sensitive to biases in the estimate of ani- mals’ speed. We provide guidelines on how to use these statistical models to get population size estimates that could be useful to wildlife managers and practitioners

A comparison of small rodent assemblages after a 20 year interval in the Alps

Human-induced environmental alterations in the Alps may importantly affect small mammal species, but evidence in this sense is limited. We live-trapped small rodents in the Central-Eastern Italian Alps in three close-by habitat types (rocky scree, alpine grassland, and heath) at 2100 m a.s.l. during summer-fall, in 1997 and 2016. We compared small rodent assemblages through a Redundancy Detrended Analysis (RDA). In both surveys, we detected two specialist species, i.e., the common vole (Microtus arvalis) and the snow vole (Chionomys nivalis), and, unexpectedly, the forest generalist bank vole (Myodes glareolus). In 1997, grassland was mainly occupied by the common vole, while the bank vole and the snow vole were sympatric in the other habitats. In 2016, the snow vole was detected only in the scree, while other species did not show distribution changes. We discuss a series of hypotheses that might have driven the differences observed across decades, among which is a species-specific response to abiotic and biotic environmental alterations, with the alpine habitat specialist moving out of sub-optimal habitats. We encourage further research on this topic, e.g., via long-term longitudinal studies

Hijacking the human complement inhibitor C4b-binding protein by the sporozoite stage of the Plasmodium falciparum parasite

The complement system is considered the first line of defense against pathogens. Hijacking complement regulators from blood is a common evasion tactic of pathogens to inhibit complement activation on their surfaces. Here, we report hijacking of the complement C4b-binding protein (C4bp), the regulator of the classical and lectin pathways of complement activation, by the sporozoite (SPZ) stage of the Plasmodium falciparum parasite. This was shown by direct binding of radiolabeled purified C4bp to live SPZs as well as by binding of C4bp from human serum to SPZs in indirect immunofluorescence assays. Using a membrane-bound peptide array, peptides from the N-terminal domain (NTD) of P. falciparum circumsporozoite protein (CSP) were found to bind C4bp. Soluble biotinylated peptide covering the same region on the NTD and a recombinantly expressed NTD also bound C4bp in a dose-dependent manner. NTD-binding site on C4bp was mapped to the CCP1-2 of the C4bp alpha-chain, a common binding site for many pathogens. Native CSP was also co-immunoprecipitated with C4bp from human serum. Preventing C4bp binding to the SPZ surface negatively affected the SPZs gliding motility in the presence of functional complement and malaria hyperimmune IgG confirming the protective role of C4bp in controlling complement activation through the classical pathway on the SPZ surface. Incorporating the CSP-C4bp binding region into a CSP-based vaccine formulation could induce vaccine-mediated immunity that neutralizes this immune evasion region and increases the vaccine efficacy.Peer reviewe

Laser Controlled Synthesis of Noble Metal Nanoparticle Arrays for Low Concentration Molecule Recognition

Nanostructured gold and silver thin films were grown by pulsed laser deposition. Performing the process in an ambient gas (Ar) leads to the nucleation and growth of nanoparticles in the ablation plasma and their self-organization on the substrate. The dependence of surface nanostructuring of the films on the deposition parameters is discussed considering in particular the number of laser pulses and the ambient gas nature and pressure. The performance of the deposited thin films as substrates for surface-enhanced Raman spectroscopy (SERS) was tested against the detection of molecules at a low concentration. Taking Raman maps on micrometer-sized areas, the spatial homogeneity of the substrates with respect to the SERS signal was tested