Social media use and impact during the holiday travel planning process

Through an empirical study among holiday travellers, residing in the Former Soviet Union Republics, this paper presents a comprehensive view of role and impact of social media on the whole holiday travel planning process: Before, during and after the trip, providing insights on usage levels, scope of use, level of influence and trust. Findings suggest that social media are predominantly used after holidays for experience sharing. It is also shown that there is a strong correlation between perceived level of influence from social media and changes made in holiday plans prior to final decisions. Moreover, it is revealed that user-generated content is perceived as more trustworthy when compared to official tourism websites, travel agents and mass media advertising

Linking ecosystem services, urban form and green space configuration using multivariate landscape metric analysis

Context: Landscape metrics represent powerful tools for quantifying landscape structure, but uncertainties persist around their interpretation. Urban settings add unique considerations, containing habitat structures driven by the surrounding built-up environment. Understanding urban ecosystems, however, should focus on the habitats rather than the matrix. Objectives: We coupled a multivariate approach with landscape metric analysis to overcome existing shortcomings in interpretation. We then explored relationships between landscape characteristics and modelled ecosystem service provision. Methods: We used principal component analysis and cluster analysis to isolate the most effective measures of landscape variability and then grouped habitat patches according to their attributes, independent of the surrounding urban form. We compared results to the modelled provision of three ecosystem services. Seven classes resulting from cluster analysis were separated primarily on patch area, and secondarily by measures of shape complexity and inter-patch distance. Results: When compared to modelled ecosystem services, larger patches up to 10 ha in size consistently stored more carbon per area and supported more pollinators, while exhibiting a greater risk of soil erosion. Smaller, isolated patches showed the opposite, and patches larger than 10 ha exhibited no additional areal benefit. Conclusions: Multivariate landscape metric analysis offers greater confidence and consistency than analysing landscape metrics individually. Independent classification avoids the influence of the urban matrix surrounding habitats of interest, and allows patches to be grouped according to their own attributes. Such a grouping is useful as it may correlate more strongly with the characteristics of landscape structure that directly affect ecosystem function

State of the world’s plants and fungi 2020

Kew’s State of the World’s Plants and Fungi project provides assessments of our current knowledge of the diversity of plants and fungi on Earth, the global threats that they face, and the policies to safeguard them. Produced in conjunction with an international scientific symposium, Kew’s State of the World’s Plants and Fungi sets an important international standard from which we can annually track trends in the global status of plant and fungal diversity

Recidivism and Social Interactions ∗ (To Appear in the Journal of the American Statistical Association)

University of Wisconsin-Madison for their valuable suggestions and comments. Finally, I would like to thank an anonymous referee for helpful suggestions and the editor of the Journal of the American Statistical Association (Applications and Case Studies), Mark S. Kaiser, for his careful reading of the earlier versions of the manuscript and constructive criticism for improving the manuscript. The usual caveat applies however: all errors are mine

Planning for the future: mapping anticipated environmental and social impacts in a nascent tourism destination

Tourism is a significant driver of social and ecological change in developing countries, particularly in small-island states, which are susceptible to tourism impacts due to their particular social and environmental characteristics. In this article we present a participatory mapping approach to obtaining spatially explicit local perceptions of future environmental and social change resulting from tourism development, as well as addressing the different community conflicts that may arise through the introduction of tourism in the future in a Solomon Islands community. The results show that spatial conflicts within a community over territory and associated resources are likely to occur when designing natural resource management and tourism development plans. This knowledge can help us increase the future sustainability of tourism in nascent small-islands destinations, particularly in vulnerable regions such as Roviana, which have experienced very little tourism development and will likely experience more in the near future