Reaching sustainable and just futures for people and nature requires tackling complex social-ecological challenges across multiple scales, from local to global. Pathways towards such futures are largely driven by people’s decisions and actions, underpinned by multiple types of motivations and values. Thus, understanding the link between potential futures and the values underpinning them represents a key question of current sustainability research, recently embraced by the Intergovernmental Science-Policy Platform for Biodiversity and Ecosystem Services (IPBES). Particularly the understanding of causal chains leading from values to futures across different contexts and scales is vital to identify which sustainability pathways to collectively pursue. In this study, we build on a transdisciplinary knowledge co-creation process in an array of local case studies in protected areas in the Czechia (Central Europe). We apply the Life Framework of Values and the Three Horizons framework in an innovative value-based participatory scenario building process to explore the relationships between (1) multiple types of values, (2) actions taken by different types of stakeholders, and (3) their potential impacts on nature, nature’s contributions to people (including ecosystem services) and good quality of life. The resulting local-scale value-based pathways show the complex relationship between multiple types of values for nature and potential future trajectories. Finally, we reflect on the utility of value-based participatory scenario planning as a means to strengthen sustainable governance. We highlight that if participatory deliberation of values is to support decision-making processes, its design needs to carefully reflect local context and institutional set-up.

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Youtube.com has become one of the most popular places to share videos on the Internet, storing a large amount of audiovisual materials. People all over the world can upload their videos and watch videos of others. The research potential of this information source has received increasing popularity across scientific disciplines. In this contribution, we explore the top viewed videos containing selected cryospheric keywords, both general (cryosphere, glacier, ice, permafrost, snow), and specific, focusing on different types of cryospheric hazards (avalanche, blizzard and glacial lake outburst flood/jokulhlaup). Searching 100 top-viewed videos for each keyword, our database consists of 859 videos. Each video is described by several qualitative characteristics (e.g., video type, geographical focus) as well as quantitative characteristics (e.g., views per day, likes). A total of 310 videos in our database (36.1% of all) are classified as videos with factual cryospheric content. We show that the broader audience represented by YouTube users is particularly interested in videos capturing dynamic processes such as calving of glaciers. While videos found for general cryosphere keywords have attracted a generally higher attention of YouTube users (total views), videos found for specific keywords are ranked among the most liked. Further, we analyze where the videos with cryospheric content are filmed, revealing several hotspots for different keywords located in all continents except for Africa. Finally, we discuss the potentials of cryosphere videos for educational and research purposes, pointing out that videos filmed by incidental witnesses of low-frequency processes such as glacial lake outburst floods might contribute to the elucidation of their dynamics, magnitude and behavior as well as the occurrence in space and time.

Wolman [1954] pebble sampling is the most commonly used method to estimate surface bed grain sizes in gravel-bed streams. A few studies documented different results between individual operators or repeated measurements within the same channel-reach obtained by this method. We tested potential differences in pebble sample distributions and related grain-size percentiles (D 10 , D 50 and D 90) between two fluvial geomorphologists and two almost inexperienced students in three channel-reaches and one gravel bar. None of sampled locations provided statistically consistent particle-size distributions and related percentiles when comparing measurements of all operators. The samples of experienced fluvial geomorphologists were most consistent for the channel-reaches with assumed widest range of particle sizes; a post-hoc test documented significant differences for the gravel bar and the lower plane bed reach. Medians of particle-size distributions for the gravel bar were equal for three of four operators; the fourth operator probably included also coarser particle population between the channel bed and bar. It implies that 100 sampled particles are most likely sufficient only for D 50 estimations and homogenous sediment populations (i.e. well-sorted gravel bars). In any other case, much larger number of particles should be sampled in gravel/cobble bed streams to obtain narrower confidence limits of related grainsize percentiles.