Assessing the value of forest landscapes: a choice experiment approach

Landscape planning and design occupies a major role in forest policy in the UK. Since the 1980s, UK forests have been managed increasingly for multi-purpose objectives, a policy which has been underpinned by international agreements on sustainable forestry. Within this context, there is a need to understand public preferences for forest landscapes in designing policies that meet the needs of multi-purpose forestry. This paper is based on a study to investigate public willingness to pay (WTP) for regular visual and recreational access to a wide variety of generic forest landscapes. A total of thirty-three forest landscapes were investigated, each of which was defined as a combination of the configuration of the planting and the landscape factors. Computergenerated images of each of these landscapes were used to underpin a series of choice experiments conducted as part of a questionnaire survey of over 400 households across Great Britain. The results confirm the importance of landscape in contributing to the social and environmental benefits provided by forests, and suggests that current policies of woodland expansion may generate additional benefits, especially if more woodland is located close to urban populations. The paper concludes by discussing the implications of these results for forest policy across the UK. © AB Academic Publishers 2009

Guano morphology has the potential to inform conservation strategies in British bats

Bats are primary consumers of nocturnal insects, disperse nutrients across landscapes, and are excellent bioindicators of an ecosystem’s health, however four of the seventeen Great British species are listed as declining. In this study we aim to investigate the link between bat guano morphology and diet, specifically looking at the ability to predict 1) species, 2) dietary guild, and 3) bat size, using guano morphology alone. Guano from 16 bat species sampled from across Great Britain were analysed to determine various morphological metrics. These data were coupled with diet data obtained by an extensive literature review. It was found that guano morphology overlapped too much to make predictions on the species of bat which deposited the guano, however, in some cases, it could be used to indicate the dietary guild to which the bat belonged. In general, guano morphology seems more correlated to diet than species. This enables the identification of the most important prey taxa within a local environment; a crucial step for informing conservation strategies

Four not six: revealing culturally common facial expressions of emotion

As a highly social species, humans generate complex facial expressions to communicate a diverse range of emotions. Since Darwin’s work, identifying amongst these complex patterns which are common across cultures and which are culture-specific has remained a central question in psychology, anthropology, philosophy, and more recently machine vision and social robotics. Classic approaches to addressing this question typically tested the cross-cultural recognition of theoretically motivated facial expressions representing six emotions, and reported universality. Yet, variable recognition accuracy across cultures suggests a narrower cross-cultural communication, supported by sets of simpler expressive patterns embedded in more complex facial expressions. We explore this hypothesis by modelling the facial expressions of over 60 emotions across two cultures, and segregating out the latent expressive patterns. Using a multi-disciplinary approach, we first map the conceptual organization of a broad spectrum of emotion words by building semantic networks in two cultures. For each emotion word in each culture, we then model and validate its corresponding dynamic facial expression, producing over 60 culturally valid facial expression models. We then apply to the pooled models a multivariate data reduction technique, revealing four latent and culturally common facial expression patterns that each communicates specific combinations of valence, arousal and dominance. We then reveal the face movements that accentuate each latent expressive pattern to create complex facial expressions. Our data questions the widely held view that six facial expression patterns are universal, instead suggesting four latent expressive patterns with direct implications for emotion communication, social psychology, cognitive neuroscience, and social robotics

Reverse Engineering Psychologically Valid Facial Expressions of Emotion into Social Robots

Social robots are now part of human society, destined for schools, hospitals, and homes to perform a variety of tasks. To engage their human users, social robots must be equipped with the essential social skill of facial expression communication. Yet, even state-of-the-art social robots are limited in this ability because they often rely on a restricted set of facial expressions derived from theory with well-known limitations such as lacking naturalistic dynamics. With no agreed methodology to objectively engineer a broader variance of more psychologically impactful facial expressions into the social robots' repertoire, human-robot interactions remain restricted. Here, we address this generic challenge with new methodologies that can reverse-engineer dynamic facial expressions into a social robot head. Our data-driven, user-centered approach, which combines human perception with psychophysical methods, produced highly recognizable and human-like dynamic facial expressions of the six classic emotions that generally outperformed state-of-art social robot facial expressions. Our data demonstrates the feasibility of our method applied to social robotics and highlights the benefits of using a data-driven approach that puts human users as central to deriving facial expressions for social robots. We also discuss future work to reverse-engineer a wider range of socially relevant facial expressions including conversational messages (e.g., interest, confusion) and personality traits (e.g., trustworthiness, attractiveness). Together, our results highlight the key role that psychology must continue to play in the design of social robots

Sustainability strategies and stakeholder management for upland farming

Upland farming provides important benefits to society. To retain these benefits, measures to encourage farms to adopt practices that balance economic, environmental and social aspects of sustainability are required. This study used survey data from a sample of farms located in less-favoured areas in Northern England to identify the trade-offs between the three dimensions of farm-level sustainability and the impacts of farm behaviours on them, including diversification, participation in agri-environmental policies and stakeholder management. Results showed that farm businesses may face a trade-off between improving economic and environmental performance through their decisions about participating in agri-environmental schemes and that strengthening relationships with some stakeholders is critical for achieving sustainability. This suggests that future policy design may simultaneously improve three dimensions of sustainability by promoting environmental conservation activities through non-economic incentives and by encouraging farm businesses to build good working relationships with their stakeholders

Molecular marketing, personalised information and willingness-to-pay for functional foods: Vitamin D enriched eggs

Increasingly, the health claims made by food products focus on the marketing of specific molecular enrichments. Research exploring consumers’ willingness to pay (WTP) for health claims assumes that individuals hold perfect information on the benefits of the enrichment, and that their valuations depend solely on whether or not they need to improve their health. While health interventions are aimed at individuals at higher health risk, consumers may be unaware of the health risks that they face, limiting the effectiveness of a generic targeting strategy. Using an orthogonal experimental design, we explore the impact of two factors on the WTP for vitamin D enrichment in eggs: whether the information is person-specific or generic; and the presence of a health claim explaining the vitamin D enrichment. Results indicate that it is the provision of information, not the health claim, that influences WTP. Both generic and personalised information lead to similar increases in the WTP for vitamin D enrichment. While we only observe a direct effect of generic information on the WTP for vitamin D enrichment, personal information may also operate by increasing the perceived risk of vitamin D deficiency. Our results support the use of personalised health information during the choice task as a means of increasing the sales of healthy products

Beyond the pseudo-time-dependent approach: chemical models of dense core precursors

Context: Chemical models of dense cloud cores often utilize the so-called pseudo-time-dependent approximation, in which the physical conditions are held fixed and uniform as the chemistry occurs. In this approximation, the initial abundances chosen, which are totally atomic in nature except for molecular hydrogen, are artificial. A more detailed approach to the chemistry of dense cold cores should include the physical evolution during their early stages of formation. Aims: Our major goal is to investigate the initial synthesis of molecular ices and gas-phase molecules as cold molecular gas begins to form behind a shock in the diffuse interstellar medium. The abundances calculated as the conditions evolve can then be utilized as reasonable initial conditions for a theory of the chemistry of dense cores. Methods: Hydrodynamic shock-wave simulations of the early stages of cold core formation are used to determine the time-dependent physical conditions for a gas-grain chemical network. We follow the cold post-shock molecular evolution of ices and gas-phase molecules for a range of visual extinction up to AV ~ 3, which increases with time. At higher extinction, self-gravity becomes important. Results: As the newly condensed gas enters its cool post-shock phase, a large amount of CO is produced in the gas. As the CO forms, water ice is produced on grains, while accretion of CO produces CO ice. The production of CO2 ice from CO occurs via several surface mechanisms, while the production of CH4 ice is slowed by gas-phase conversion of C into CO.Comment: 9 pages, 3 figures, 2 table

Modelling zero bids in contingent valuation surveys

When modelling data generated from a discrete choice contingent valuation question, the treatment of zero bids affects the welfare estimates. Zero bids may come from respondents who are not interested in the provision of the public good; alternatively, some zero-bidders may be protesting about the valuation exercise, but hold positive values for the good. In this paper we investigate the effect of different levels of information on zero-bidders on welfare estimates for the population. We find that different strategies of identification may have non-trivial effects. We recommend use of full debriefing questions for zero-bidders, and use of sample selection models to correct for bias caused by protest behaviou