Phosphorus (P) is an essential macronutrient in agriculture; however, lack of reporting makes its supply chain a black box. By using literature synthesis on the P challenge, we identify four areas where the reporting process is problematic: P reserves and resources; P losses along the supply chain; P externalities; and access to data. We find that in these areas, the reporting system is inconsistent, inaccurate, incomplete, fragmented and non-transparent. We use systems analysis to discuss implications of reporting on the sustainability of the P supply chain. We find that reporting is essential for the achievement of global P governance and the human right to adequate food. It can also inform decision makers and other impacted stakeholders on policies on agriculture, food security, pollution and international conflict. An improved P reporting process also allows a better evaluation of global sustainability commitments such as the United Nations Sustainable Development Goals.

In response to the interconnected character of societal challenges, there is a growing interest in transdisciplinary sustainability research. However, for transdisciplinary research to be able to support the generation of new knowledge in a participatory and reflexive manner, a number of challenges have been identified in each stage of the transdisciplinary research process. In this paper, we respond specifically to the challenge of initiating transdisciplinary research projects, by proposing a process for performing transdisciplinary project scoping. Our group of early‐career researchers share experiences from scoping for transdisciplinary research potential, bridging local stakeholder needs with researchers’ interests across departments and national contexts. We present our methodological approach,which includes tools for stakeholder identification, systems thinking, and gap‐mapping. The approach was applied in the local context of the Navarino Environmental Observatory, Messinia, Greece. The findings identify regional sustainability concerns related to, for example, tourism, agriculture, and environmental management issues. The gap‐map highlights overlaps (e.g., in terms of existing research on the effects of agriculture on water resources), but also how previous research has been conducted on spatial and temporal scales not directly relevant to local actors. We believe that the approach can be used beyond this case study to identify the potential for problem‐oriented inter‐and transdisciplinary research.

Studies on critical natural resources have grown in number over the last decade out of concern for resource availability and its potential impacts. Nonetheless, only a handful of studies explicitly define criticality for natural resources. Through a systematic literature review, we identified four main perspectives in the descriptions of critical natural resources: (1) economic importance is overemphasized at the expense of sociocultural and ecosystem support functions of natural resources; (2) a Western perspective dominates the research discourse; (3) apart from the field of economics, the debate lacks input from social sciences; and (4), non-renewable resources are overrepresented compared to renewables. Based on the current discourse and its apparent inclinations, we propose a new definition of criticality for natural resources aligned with risk theory. We argue for the need to balance out the perspectives described above to provide decision-makers with impartial information for the sustainable management of natural resources.

Dawson, L., M. Elbakidze, M. Schellens, A. Shkaruba, and P. K. Angelstam. 2021. Bogs, birds, and berries in Belarus: the governance and management dynamics of wetland restoration in a state-centric, top-down context. Ecology and Society 26(1):8. https://doi.org/10.5751/ES-12139-260108

The integrated character of the sustainable development goals in Agenda 2030, as well as research in environmental security, flag that sustainable peace requires sustainable and conflict-sensitive natural resource use. The precise relationship between the risk for violent conflict and natural resources remains contested because of the interplay with socio-economic variables. This paper aims to improve the understanding of natural resources’ role in the risk of violent conflicts by accounting for complex interactions with socio-economic conditions. Conflict data was analysed with machine learning techniques, which can account for complex patterns, such as variable interactions. More commonly used logistic regression models are compared with neural network models and random forest models. The results indicate that a country’s natural resource features are important predictors of its risk for violent conflict and that they interact with socio-economic conditions. Based on these empirical results and the existing literature, we interpret that natural resources can be root causes of violent intrastate conflict, and that signals from natural resources leading to conflict risk are reflected in and influenced by interacting socio-economic conditions. More specifically, the results show that variables such as access to water and food security are important predictors of conflict, while resource rents and oil and ore exports are relatively less important than other natural resource variables, contrasting what prior research has suggested. Given the potential of natural resource features to act as an early warning for violent conflict, we argue that natural resources should be included in conflict risk models for conflict prevention.