Climate Vulnerability Assessment of Alpine Fauna

Authors

  • Sofia Popescu Assistant Professor, Institute of Intelligent Systems, Nordic Technical University, Stockholm, Sweden Author
  • Jonas Rossi Assistant Professor, Department of Machine Learning, Nordic Technical University, Stockholm, Sweden Author
  • Isabella Rossi Associate Professor, School of Data Science, Western Europe Data Science University, Madrid, Spain Author

Keywords:

alpine fauna, climate vulnerability, RCP 8.5, summit trap, species distribution models, range shifts, climate change, mountain ecology

Abstract

Alpine ecosystems are among the most climate-sensitive environments on Earth: mountain habitats warm at approximately twice the global mean rate, snowpack timing and duration are shifting across all major mountain ranges, and the summit trap effect -- where upward range shifts of cold-adapted species encounter diminishing habitat area at higher elevations -- creates an extinction dynamic with no terrestrial analogue. The fauna of alpine zones above treeline encompass some of the most range-restricted and habitat-specialised vertebrate and invertebrate taxa globally, making them disproportionately vulnerable to climate-driven habitat loss even as they represent outstanding natural laboratories for evolutionary and ecological research. This study presents the first pan-European alpine fauna climate vulnerability assessment (CVA) covering 247 species from 18 alpine and subalpine zones across the Alps, Pyrenees, Scandinavian mountains, Carpathians, and Caucasus, applying a three-dimensional CVA framework quantifying exposure (projected climate change magnitude), sensitivity (species' tolerance to climate change), and adaptive capacity (dispersal ability and evolutionary potential). Under the RCP 8.5 high-emissions scenario, 74.7% of assessed species showed high or very high overall vulnerability by 2080; under RCP 4.5, 47.4% remained high or very high. Summit-trap species (range-restricted to mountain tops with no higher-elevation habitat available) showed the highest vulnerability regardless of emissions scenario. Species distribution model projections indicated a mean 54.7% reduction in climatically suitable habitat area under RCP 8.5 by 2080, with 28.4% of species projected to lose > 80% of current suitable habitat.

Author Biographies

  • Sofia Popescu, Assistant Professor, Institute of Intelligent Systems, Nordic Technical University, Stockholm, Sweden

    Assistant Professor, Institute of Intelligent Systems, Nordic Technical University, Stockholm, Sweden

  • Jonas Rossi, Assistant Professor, Department of Machine Learning, Nordic Technical University, Stockholm, Sweden

    Assistant Professor, Department of Machine Learning, Nordic Technical University, Stockholm, Sweden

  • Isabella Rossi, Associate Professor, School of Data Science, Western Europe Data Science University, Madrid, Spain

    Associate Professor, School of Data Science, Western Europe Data Science University, Madrid, Spain

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Published

2023-12-15

How to Cite

Climate Vulnerability Assessment of Alpine Fauna. (2023). Zoological Archives: An International Journal, 3(4), 38-47. https://stanfordgroup.org/index.php/ZAIJ/article/view/343

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