• Energy Research

Supplementary Information (data, code, figures) for "Human populations in the world’s mountains: spatio-temporal patterns and potential controls" (Thornton et al., 2022) Funded by Swiss Agency of Development and Cooperation (SDC) under the Adaptation at Altitude Programme.

Mountainous regions are globally important, in part because they support large populations and are biodiverse. They are also characterized by enhanced vulnerability to anthropogenic pressures and sensitivity to climate change. This importance necessitates the development of a global reference network of long-term environmental and socioeconomic monitoring—mountain observatories. At present, monitoring is limited and unevenly distributed across mountain regions globally. Existing thematic networks do not fully support the generation of multidisciplinary knowledge required to inform decisions, enact drivers of sustainable development, and safeguard against losses. In this paper, the Mountain Observatories Working Group, established by the Mountain Research Initiative (MRI) Science Leadership Council, identifies geographical and thematic gaps as well as recent advances in monitoring of relevant biophysical and socioeconomic variables in the mountains. We propose principles and ways of connecting existing initiatives, supporting emerging areas, and developing new mountain observatory networks regionally and, eventually, globally. Particularly in the data-poor regions, we aspire to build a community of researchers and practitioners in collaboration with the Global Network on Observations and Information in Mountain Environments, Group on Earth Observations (GEO) Mountains, a GEO Work Programme Initiative.

AbstractAffluence and vulnerability are often seen as opposite sides of a coin—with affluence generally understood as reducing forms of vulnerability through increased resilience and adaptive capacity. However, in the context of climate change and an increase in associated hazards and disasters, we suggest the need to re-examine this dynamic relationship—a complex association we define here as the Affluence–Vulnerability Interface (AVI). We review research in different national contexts to show how a more nuanced understanding of the AVI can (a) problematize the notion that increasing material affluence necessarily has a mitigating influence on social vulnerability, (b) extend our analysis of social vulnerability beyond low-income regions to include affluent contexts and (c) improve our understanding of how psychosocial characteristics influence people’s vulnerability. Finally, we briefly outline three methodological approaches that we believe will assist future engagement with the AVI.

In theory, building resilience is touted as one way to deal with climate change impacts; however, in practice, there is a need to examine how contexts influence the capacity of building resilience. A participatory process was carried out through workshops in regions affected by drought in Chile in 2014. The aim was to explore how resilience theory can be better applied and articulated into practice vis-á-vis participatory approaches that enrich the research process through the incorporation of co-produced. The results show that there are more differences in responses by type of actor than between regions, where issues of national interest, such as ‘education-information’ and ‘preparedness’, are highlighted over others. However, historically relevant local topics emerged as differentiators: decentralisation, and political will. This reinforces why special attention must be given to the different understandings in knowledge co-production processes. This study provides evidence and lessons on the importance of incorporating processes of the co-production of knowledge as a means to better articulate and transfer abstract concepts, such as resilience theory, into practice. Sustainability Science, 12 (1) ISSN:1862-4065 ISSN:1862-4057

<p>Many mountainous environments and ecosystems around the world are responding rapidly to ongoing climate change. Long-term climatological time-series from such regions are crucial for developing improving understanding of the underlying mechanisms responsible for such changes, and generating more reliable future impact projections for environmental managers and other decision makers. Whilst it is already established that high elevation regions tend to be comparatively under-sampled, detailed spatial and other patterns in the coverage of mountain climatological data have not yet been comprehensively assessed on a global basis. To begin to address this deficiency, we analyse the coverage of records associated with the mountainous subset of the Global Historical Climatological Network-Daily (GHCNd) inventory with respect to space, time, and elevation. Three key climate-related variables – air temperature, precipitation, and snow depth – are considered across 292 named mountain ranges. To characterise data coverage relative to topographic, hydrological, and socio-economic factors, several additional datasets were introduced. Spatial mountain data coverage is highly uneven, and there are several mountain ranges whose elevational range is severely under-sampled by GHCNd stations. Crucially, the three "Water Tower Units" previously identified as having the greatest hydrological importance to society appear to have extremely low station densities. Mountain station density is weakly related to the human population or economic output of the corresponding downstream catchments. A script we developed enables detailed assessments of record temporal coverage and measurement quality information. This contribution should help international authorities and more regional stakeholders to identify areas, variables, and other aspects that should be prioritised for investment in infrastructure and capacity. Finally, the transparent and reproducible approach taken throughout will enable the work to be rapidly repeated for subsequent versions of GHCNd, and may furthermore enable similar analyses to be efficiently conducted on other spatial reporting boundaries and/or environmental monitoring station networks. </p>

Mountain Research and Development, 38 (3) ISSN:0276-4741 ISSN:1994-7151

At the GEO-GNOME Status and Scoping Workshop held in Bern in May 20181 , key objectives and tasks listed on its work plan 2017-2019 were revised (see also Adler et al, 2018). The importance of climate as one key driver of environmental change in mountains, with relevant consequences for social-ecological systems, was reiterated. Given already existing initiatives on essential climate variables from observations and modelling, an opportunity was identified to focus attention on mountain-specific needs of key variables allowing from understanding and tracking changes in mountains and their consequences. A transect network of in-situ climate data over elevation gradients (Unified High Elevation Observing Platform, UHOP3 ), together with consistent time series of EO (satellite) data, was suggested as a means to address key observational data gaps and to improve our understanding of processes of elevation-dependent warming (EDW) and elevation-dependent climate change (EDCC) in mountains, and support a systematic strategy for identifying and collecting new observation data. Essential Climate Variables (ECVs) relevant for mountains were identified as a first starting point. They include “pure climate” variables like temperature, precipitation, snow, radiation, wind, etc., as well as other important variables/drivers such as land-cover. With the support from the European Space Agency (ESA), Future Earth (FE), and the Mountain Research Initiative (MRI), the 2019 GEO-GNOME workshop aimed at identifying and selecting ECVs required in high elevation contexts for the monitoring and better understanding of ‘mountain climate change’, including considerations for integration between in-situ measurements, EO satellite data and modelling. The WMO/GCOS existing catalogue of ECVs was used as initial basis for compiling our list of essential mountain variables. The possibility to use ESA’s existing datasets on ECVs within its Climate Change Initiative (CCI) program was also considered. The key output and outcome of this workshop is a list of ECVs required to observe the processes of elevation-dependent climate change in mountains. In addition, a data collection protocol with identified existing data-sources and criteria for required data quality (particularly the spatial and temporal resolution required) for selected key processes was produced. There are huge observational and information gaps in mountain environments and agreeing on joint protocols and data resolution needed for each relevant process would allow filling these gaps. Collecting data on other environmental processes in addition and in relation to strictly climate-related processes will strengthen GEO-GNOME’s ability to identify relevant data and information that meet the needs of management, policy and scientific research. Making this data discoverable and accessible via suitable data portals, such as the GEO-GNOME Global Earth Observation System of Systems (GEO-GNOME GEOSS, under development), will further facilitate data use and research collaborations.