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Abstract
Freshwater ecosystems in mountain landscapes are increasingly threatened by climate change. Accumulated heat in ecosystems can result in lethal short-term heat exposure, while the velocity of change governs severity and rates of long-term heat exposure. Here, we novelly integrate heat accumulation and velocity of change approaches to classify climate-vulnerable USA mountain lake watersheds. Our results broadly demonstrate how rates of heat accumulation are increasing across mountain landscapes, and that this rise is most pronounced at lower elevations. We estimate 19% of mountain watersheds are currently at greatest vulnerability, and this value is set to jump to 33% by end-of-century. Further, mean killing degree days (i.e., mean number of days above 90th percentile) will increase 215 – 254% (mean = 236%) over this same timeframe. Taken together, results indicate heat accumulation will increase substantially over the next 75 years; changes will be experienced most severely in lower elevation landscapes and those with the greatest historical velocity of change. This degree of climate change will likely restructure species’ distributions. Decision-makers can utilize these classifications to understand landscapes likely to support desired species and ecosystem services into the future, thereby enabling more effective allocation of limited conservation resources.
DOI
https://doi.org/10.31223/X5V429
Subjects
Life Sciences, Physical Sciences and Mathematics
Keywords
freshwater, mountain landscapes, high elevation lakes, Climate change vulnerability, heat accumulation, velocity of climate change, speed of thermal change, growing degree days, killing degree days
Dates
Published: 2025-03-06 01:36
Last Updated: 2025-03-06 09:36
License
CC-By Attribution-ShareAlike 4.0 International
Additional Metadata
Conflict of interest statement:
None.
Data Availability (Reason not available):
This work is based on publicly available data cited in the manuscript text. Code used to produce the main analysis is available on GitHub and registered on Zenodo (https://github.com/caparisek/mtn_landscape_heat_accumulation and https://doi.org/10.5281/zenodo.14954679, respectively).
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