Cultural ecosystem services (ES) are consistently recognized but not yet adequately defined or integrated within the ES framework. A substantial body of models, methods, and data relevant to cultural services has been developed within the social and behavioral sciences before and outside of the ES approach. A selective review of work in landscape aesthetics, cultural heritage, outdoor recreation, and spiritual significance demonstrates opportunities for operationally defining cultural services in terms of socioecological models, consistent with the larger set of ES. Such models explicitly link ecological structures and functions with cultural values and benefits, facilitating communication between scientists and stakeholders and enabling economic, multicriterion, deliberative evaluation and other methods that can clarify tradeoffs and synergies involving cultural ES. Based on this approach, a common representation is offered that frames cultural services, along with all ES, by the relative contribution of relevant ecological structures and functions and by applicable social evaluation approaches. This perspective provides a foundation for merging ecological and social science epistemologies to define and integrate cultural services better within the broader ES framework.

The UN Sustainable Development Goals (SDGs) are a vision for achieving a sustainable future. Reliable, timely, comprehensive, and consistent data are critical for measuring progress towards, and ultimately achieving, the SDGs. Data from citizen science represent one new source of data that could be used for SDG reporting and monitoring. However, information is still lacking regarding the current and potential contributions of citizen science to the SDG indicator framework. Through a systematic review of the metadata and work plans of the 244 SDG indicators, as well as the identification of past and ongoing citizen science initiatives that could directly or indirectly provide data for these indicators, this paper presents an overview of where citizen science is already contributing and could contribute data to the SDG indicator framework. The results demonstrate that citizen science is “already contributing” to the monitoring of 5 SDG indicators, and that citizen science “could contribute” to 76 indicators, which, together, equates to around 33%. Our analysis also shows that the greatest inputs from citizen science to the SDG framework relate to SDG 15 Life on Land, SDG 11 Sustainable Cities and Communities, SDG 3 Good Health and Wellbeing, and SDG 6 Clean Water and Sanitation. Realizing the full potential of citizen science requires demonstrating its value in the global data ecosystem, building partnerships around citizen science data to accelerate SDG progress, and leveraging investments to enhance its use and impact.

Empirical research on urban shrinkage is being conducted around the globe, since many countries are confronted with the phenomenon of shrinking cities. So far, the research on urban shrinkage has focused strongly on case studies, which is why we can benefit from a diverse and empirically rich knowledge base on the phenomenon and its regional manifestations. By bridging and comparing the European and Japanese academic discourse, we aim to identify the different recurring theories and key issues discussed under the umbrella term ‘urban shrinkage’ and strive to uncover blind spots of the debate. For this purpose, we conduct a qualitative meta-analysis of 100 empirical cases that are documented in the literature dealing with shrinking cities in the EU and Japan. This meta-analysis is based on comparative qualitative content analysis. It reveals a regionally differentiated pattern of various causes, effects and responses documented for shrinking cities in Western, Mediterranean and post-socialist EU countries and in Japan. Based on these findings, we offer an agenda for future research by suggesting an integrative perspective on the context-specific dynamics of urban shrinkage. We argue for an integrative understanding of shrinking cities in order to develop a valid knowledge base for evidence-based policy recommendations.

While many theories exist to explain the complexity of environmental behaviour, the role of individuals’ relationship with nature has not yet been fully clarified. This paper attempts to operationalise human-nature relationships. It expands upon a scale assessed by an iterative process of mixed methods in the US and Europe. This scale is then used to assess individuals’ relationship with nature, and whether such relationships correlate with environmental behaviour. The value scale of Schwartz's Theory of Basic Values is used to validate the results. The results verify that people hold multiple human-nature relationships, confirm strong correlations between human-nature relationships and values, and reveal that individuals’ behaviour is connected to the relationship they have with nature.