If beauty is in the eye of the beholder, how do you define a beautiful landscape? Machine learning algorithms can be helpful here, says Adrienne Grêt-​Regamey.
The COVID-19 pandemic has changed our everyday life in an unprecedented way and has made us very conscious about the vulnerability of our modern society. It has demonstrated an increasingly critical need for systemic transformation, based on the principles of sustainability and resilience [1, 2]. As a “stress test” [3] this pandemic outbreak and ongoing crisis has already taught us several important lessons that should be considered for dealing with climate change, a fundamental challenge and risk to humanity for the 21st century and beyond.
In this blog post written for the Network for European Mountain Research (NEMOR), Harald Bugmann, Professor of Forest Ecology at ETH Zurich and our very first Chair here at the MRI, reflects on the fragility of mountain forests and their vulnerability to the impacts of climate change.
Pandemic relief funding should provide a much-needed boost to scientific research. And we should steer those dollars toward where they can do the most good.
I am delighted to join the MRI as a Scientific Project Officer and, as part of the GEO-GNOME project, look forward to working in an interdisciplinary and collaborative fashion to improve the availability and accessibility of data pertaining to the earth’s mountainous regions. Below, by way of self-introduction, I take the opportunity to say a few words regarding my recent doctoral research.  
During the 2019 Annual Meeting of the American Geophysical Union (AGU) in San Francisco, California, Dr. Constance Millar, USDA Forest Service Pacific, Southwest Research Station, Albany, California, was honoured with an AGU Ambassador Award. The award was given for her outstanding contributions and inspiring interdisciplinary research and leadership on how mountain flora and fauna adapt to climate change, and for building a diverse scientific community to guide management of these natural resources. 
In this blog post, Levan Tielidze tells us about supra-glacial debris cover change for the Greater Caucasus. His recent study indicates more than a doubling in the area of supra-glacial debris cover for the Elbrus Massif‘s glaciers from 1986 to 2014, the largest glacierized massif in the whole region. 
  For the past two weeks GlacierHub has made space in the usual Monday news roundup for coverage of the coronavirus pandemic as it impacts glacier regions. In continuing that reporting, the following is an aggregation of coronavirus news stories from global glacier regions, written by guest author Peter Deneen.
Loriaux and Casassa (2013) examined the expansion of lakes of the Northern Patagonia Ice Cap (NPI). From 1945 to 2011 lake area expanded 65%, 66 km2. Rio Acodado has two large glacier termini at its headwater, HPN2 and HPN3. that are fed by the same accumulation zone and comprise the Acodado Glacier. The glacier separates from Steffen Glacier ...
Hydropower will have to undergo big changes if it’s to meet the demands of the Energy Strategy 2050. But this old source of renewable energy is faced with problems today. We look at the recommendations made by the National Research Programme.

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