Using participatory approach, we synthesized stakeholders’ perceived future scenarios in Kilimanjaro and management actions that enhance NCP, improve quality of life, and support sustainable SES.
Biodiversity monitoring in Obergurgl: Tradition and future perspective
Since 2000, a monitoring programme of abiotic factors and species composition of fauna and flora along an altitudinal gradient is one of the central duties of the Alpine Research Centre in Obergurgl.
Assessing climate change impacts on the water balance of mountain forests based on soil-vegetation-atmosphere transfer modelling – results from Tyrol and Vorarlberg (Austria)
This SVAT modelling study investigates changes of the water balance in Alpine forests due to climate change. Results indicate that future conditions may exceed the limits of current tree species.
The Wild West of the Tibetan Plateau (Chang Tang)
The Session will be introduced by a movie about the western and central high-mountain plateau of North-Tibet, one of the last untouched wilderness areas on Earth.
Understanding community assemblage using species and functional diversity across elevational gradients from the tropics to the arctic
Insights into the responses of plant species and communities and their function to climate change.
Current conditions impose a large climatic debt on mountain plants
Vital rates measurements demonstrate a pronounced disequilibrium between climate and high mountain plant species distribution even at fine spatial resolution.
Biotic-interactions of ericaceous shrubs: A global review and the mountain perspective
We synthesize the diverse biotic interactions associated with ericaceous shrubs globally, including mountainous regions. Additionally, we explore the vulnerabilities and/or resilience of these interac
Shrub encroachment reshapes soil fungal communities in subalpine grasslands
Shrub encroachment in subalpine grasslands impacts soil fungal functional communities and diversity as a result of altered soil properties mediated by changes in plant community traits.
The role of abundance in community modelling: Predicting plant communities in the Andean super-páramo
Community models could be improved by considering the strength and consistency of co-occurrence patterns. Our study incorporated an abundance criterion to enhance the ecological relevance of models.
Multi-source Data Fusion and Machine Learning Classification for Seasonal Land Cover Mapping in a Mountainous Catchment.
This study leverages multi-source data, remote sensing, and machine learning on Google Earth Engine to enhance LULC classification efficiency in South African montane grasslands, with high accuracy.