Purpose This paper aims to assess the value of impact perceptions as an indicator of social carrying capacity in the heritage town of Besalú, Spain. Additionally, it assesses the impact tourism dependence and other socio-demographic variables have on this indicator. Design/methodology/approach A literature review on social exchange theory (SET) and carrying capacity related to impact perceptions is presented. The method was a survey, with a questionnaire based on the literature review and in-depth interviews. The results have been analyzed statistically to determine the links between perceptions and socio-demographic variables. Using statistical tools, perceptions are compared to three indicators that have been used to determine capacity in literature: willingness to accept more tourism, tourism pressure and the tourist function index. Findings The willingness of residents to enter into, and remain, in an exchange relationship is affected primarily by tourism dependence, and to a lesser extent by gender and education. Additionally, impact perceptions do not correspond to a willingness to accept more tourists. The impacts of tourism on conservation show greater consensus, while impacts on the availability of space for residents show links to other capacity indicators. Originality/value This study enhances the body of knowledge on social carrying capacity in heritage towns, by focusing on a regionally prominent day-tripper heritage town facing high tourism pressure which is Besalú. From a theoretical perspective, this study attempts to merge carrying capacity and SET, thus linking sustainability to social exchange. It also highlights the importance of a gender-based perspective in sustainability.

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The morphology of synapses is of central interest in neuroscience because of the intimate relation with synaptic efficacy. Two decades of gene manipulation studies in different animal models have revealed a repertoire of molecules that contribute to synapse development. However, since such studies often assessed only one, or at best a few, morphological features at a given synapse, it remained unaddressed how different structural aspects relate to one another. Furthermore, such focused and sometimes only qualitative approaches likely left many of the more subtle players unnoticed. Here, we present the image analysis algorithm ‘Drosophila_NMJ_Morphometrics’, available as a Fiji-compatible macro, for quantitative, accurate and objective synapse morphometry of the Drosophila larval neuromuscular junction (NMJ), a well-established glutamatergic model synapse. We developed this methodology for semi-automated multiparametric analyses of NMJ terminals immunolabeled for the commonly used markers Dlg1 and Brp and showed that it also works for Hrp, Csp and Syt. We demonstrate that gender, genetic background and identity of abdominal body segment consistently and significantly contribute to variability in our data, suggesting that controlling for these parameters is important to minimize variability in quantitative analyses. Correlation and principal component analyses (PCA) were performed to investigate which morphometric parameters are inter-dependent and which ones are regulated rather independently. Based on nine acquired parameters, we identified five morphometric groups: NMJ size, geometry, muscle size, number of NMJ islands and number of active zones. Based on our finding that the parameters of the first two principal components hardly correlated with each other, we suggest that different molecular processes underlie these two morphometric groups. Our study sets the stage for systems morphometry approaches at the well-studied Drosophila NMJ.

Social participation, European Social Survey, Social capital, Informal participation, Formal participation, Trust,