Abstract. Mapping and depicting the structure, dynamics, and national specialisation profiles of scientific fields at the country level affords a better understanding of national developments and changes in a given field, particularly when these changes may serve as an aid in decision-making with regard to research management. This article looks at the cognitive structure of a field over time to characterise its development across countries and to appraise the competitiveness of countries in terms of research specialisation.

Abstract: People often extrapolate from data samples, inferring properties of the population like the rate of some event, class, or group ‒e.g., the percent of female scientists, the crime rate, the chances to suffer some illness. In many circumstances, though, the sample observed is non-random, i.e., is affected by sampling bias. For instance, news media rarely display (intentionally or not) a balanced view of the state of the world, focusing particularly on dramatic and rare events.

Abstract. Accounting for ecosystems is increasingly central to natural capital accounting. What is missing from this, however, is an answer to questions about how natural capital is distributed. That is, who consumes ecosystem services and who owns or manages the underlying asset(s) that give rise to ecosystem services. In this paper, we examine the significance of the ownership of land on which ecosystem assets (or ecosystem types) is located in the context of natural capital accounting.