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"The final publication is available at Springer via http://dx.doi.org/10.1007/s10640-014-9777-9". ; Typical convergent validity tests of benefit transfer based on stated preference data assume that willingness to pay (WTP) estimates have been accurately measured, and that differences in WTP arise from differences in observable and unobservable characteristics between the study and the policy sites. In this paper, we conduct a convergent validity test assuming equality of underlying preferences, but allow for the possibility that transfer errors arise from differences in the way that respondents process information in the preference elicitation tasks. Using data from an identical survey instrument applied to the population of two river basins in Spain, we obtain marginal and total WTP estimates for ecological improvements of water bodies and the corresponding transfer errors across sites. Results of equality constrained latent class (ECLC) models that infer attribute non-attendance (ANA) are compared to results from mixed logit (MXL) models in WTP space. We find large absolute and relative differences in marginal and total WTP between sites for the MXL models, and significantly reduced transfer errors for the ECLC models. This paper therefore provides further evidence that AN-A can significantly affect environmental values derived from attribute-based stated preference methods and is the first to investigate the implications for benefit transfer. ; This research was partially funded by the Scottish Government Rural Affairs and the Environment Portfolio Strategic Research Programme 2011-2016, Theme 1 (Environmental Change: Ecosystem Services and Biodiversity). The data used in this article were collected as part of the Collaboration Agreement between the University of Cordoba (Spain) and the Spanish Ministry of the Environment for the Development of Water Demand Analysis and Assessment of Environmental and Resource Benefits of the Water Framework Directive, and the AquaMoney project of the EU VI Framework ...

Context Since the introduction of fallow deer (Dama dama) to Tasmania in the early 1830s, the management of the species has been conflicted; the species is partially protected as a recreational hunting resource, yet simultaneously recognised as an invasive species because of its environmental impact and the biosecurity risk that it poses. The range and abundance of fallow deer in Tasmania has evidently increased over the past three decades. In the 1970s, it was estimated that ~7000–8000 deer were distributed in three distinct subpopulations occupying a region of ~400 000 ha (generally centred around the original introduction sites). By the early 2000s, the estimated population size had more than tripled to ~20 000–30 000 deer occupying 2.1 million ha. No study has attempted to predict what further growth in this population is likely. Aims The purpose of our study was to provide a preliminary estimate of the future population range and abundance of fallow deer in Tasmania under different management scenarios. Methods We developed a spatially explicit, deterministic population model for fallow deer in Tasmania, based on estimates of demographic parameters linked to a species distribution model. Spatial variation in abundance was incorporated into the model by setting carrying capacity as a function of climate suitability. Key results On the basis of a conservative estimate of population growth for the species, and without active management beyond the current policy of hunting and crop protection permits, abundance of fallow deer is estimated to increase substantially in the next 10 years. Uncontrolled, the population could exceed 1 million animals by the middle of the 21st century. This potential increase is a function both of local increase in abundance and extension of range. Conclusions Our results identify areas at high risk of impact from fallow deer in the near future, including ecologically sensitive areas of Tasmania (e.g. the Tasmanian Wilderness World Heritage Area). Implications The research approach and results are presented as a contribution to debate and decisions about the management of fallow deer in Tasmania. In particular, they provide a considered basis for anticipating future impacts of deer in Tasmania and prioritising management to mitigate impact in ecologically sensitive areas.

To access publisher's full text version of this article click on the hyperlink at the bottom of the page ; Complaints of 'food allergy' are increasing. Standardized surveys of IgE sensitization to foods are still uncommon and multicountry surveys are rare. We have assessed IgE sensitization to food-associated allergens in different regions of Europe using a common protocol. ; Participants from general populations aged 20-54 years in eight European centres (Zurich, Madrid, Utrecht, Lodz, Sophia, Athens, Reykjavik and Vilnius) were asked whether they had allergic symptoms associated with specific foods. Weighted samples of those with and without allergic symptoms then completed a longer questionnaire and donated serum for IgE analysis by ImmunoCAP for 24 foods, 6 aeroallergens and, by allergen microarray, for 48 individual food proteins. ; The prevalence of IgE sensitization to foods ranged from 23.6% to 6.6%. The least common IgE sensitizations were to fish (0.2%), milk (0.8%) and egg (0.9%), and the most common were to hazelnut (9.3%), peach (7.9%) and apple (6.5%). The order of prevalence of IgE sensitization against different foods was similar in each centre and correlated with the prevalence of the pollen-associated allergens Bet v 1 and Bet v 2 (r = 0.86). IgE sensitization to plant allergen components unrelated to pollen allergens was more evenly distributed and independent of pollen IgE sensitization (r = -0.10). The most common foods containing allergens not cross-reacting with pollens were sesame, shrimp and hazelnut. ; IgE sensitization to foods is common, but varies widely and is predominantly related to IgE sensitization to pollen allergens. IgE sensitization to food allergens not cross-reacting with pollens is rare and more evenly distributed. ; European Union through EuroPrevall (FP6-FOOD-CT-2005-514000 United Kingdom Department of Health Policy Research Programme, Competitive Strategic Grant to Institute for Food Research from the Biotechnology and Biological Sciences Research Council (UK)