The authors present an approach to conceptualising and predicting environmental conflicts in which conflicts are analysed as a continuum of disagreement over values and options. They also operationalise this approach using an online values-centred survey tool, the ‘public-to-public decision support system’ (P2P-DSS). The authors put values and conflict in environmental management into perspective. Next, they review how values are defined in scholarship and operationalised for decision support. The relevance of values research to con-flict management is presented. With reference to a (...) real-world aggregate-mining conflict, the authors demonstrate how P2P-DSS can be used to collect data and categorise conflicts to enhance environmental management decision-making. The authors argue that P2P-DSS has potential to support values-sensitive thinking for environmental conflict management. They then set out research priorities to investigate the theoretical and practical implications of this approach. This work contributes to advancing values research in environmental conflict management and expanding values-based decision-making. (shrink)

This article explores how scientists adapt to a changing climate. To do this, we bring examples from a case study of salmon habitat restorationists in the Columbia River Basin into conversation with concepts from previous work on change and stability in knowledge infrastructures and scientific practice. In order to adapt, ecological restorationists are increasingly relying on predictive modeling tools, as well as initiating broader changes in the interdisciplinary nature of the field of ecological restoration itself. We explore how the field (...) of ecological restoration is shifting its conceptual gaze from restoring to past, historic baselines to anticipating a no-analog future and consider what this means in terms of understanding the adaptive capacity of knowledge infrastructures and epistemic communities more broadly. We argue that identifying how scientists themselves conceptualize drivers of change and respond to these changes is an important step in understanding what adaptive capacity in science might entail. We offer these examples as a provocation for thinking about “adaptive epistemologies” and how adaptation by scientists themselves can facilitate or hinder particular environmental or sociotechnical futures. (shrink)