Some of the most critical data for quantifying environmental changes and identifying their causes, for understanding social-ecological systems and predicting their trajectories, for informing environmental policies and management practices, as well as for supporting global policy agendas, are the time series provided by Long-Term Social-Ecological Research (LTSER).
LTSER programs can inform policy and management through different means. These include the direct monitoring of existing indicators such as individual Aichi targets or Sustainable Development Goal indicators, the provision of data to support essential variables (eg., Essential Biodiversity Variables), or the provision of data and information to support spatial, temporal, and topical prioritization (eg., post-2020 agenda setting). However, in spite of their obvious value and the wealth of information they provide to support decision making towards sustainability, the contribution of LTSER in support of global policy agendas can be strengthened.
Data of unique temporal depth are also collected in mountains and are crucial for understanding the pervasive effects of global change on the essential capacity of mountain systems to support human populations locally and globally. Yet, to date, no synthetic review exists of how LTSER data pertaining to mountains inform policy, management and conservation, and support decision making towards sustainable mountain development.