Climate velocities and species tracking in global mountain regions

Wei-Ping Chan, Jonathan Lenoir, Guan-Shuo Mai, Hung-Chi Kuo, I-Ching Chen () and Sheng-Feng Shen ()
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Wei-Ping Chan: Academia Sinica
Jonathan Lenoir: Université de Picardie Jules Verne
Guan-Shuo Mai: Academia Sinica
Hung-Chi Kuo: National Taiwan University
I-Ching Chen: National Cheng Kung University
Sheng-Feng Shen: Academia Sinica

Nature, 2024, vol. 629, issue 8010, 114-120

Abstract: Abstract Mountain ranges contain high concentrations of endemic species and are indispensable refugia for lowland species that are facing anthropogenic climate change1,2. Forecasting biodiversity redistribution hinges on assessing whether species can track shifting isotherms as the climate warms3,4. However, a global analysis of the velocities of isotherm shifts along elevation gradients is hindered by the scarcity of weather stations in mountainous regions5. Here we address this issue by mapping the lapse rate of temperature (LRT) across mountain regions globally, both by using satellite data (SLRT) and by using the laws of thermodynamics to account for water vapour6 (that is, the moist adiabatic lapse rate (MALRT)). By dividing the rate of surface warming from 1971 to 2020 by either the SLRT or the MALRT, we provide maps of vertical isotherm shift velocities. We identify 17 mountain regions with exceptionally high vertical isotherm shift velocities (greater than 11.67 m per year for the SLRT; greater than 8.25 m per year for the MALRT), predominantly in dry areas but also in wet regions with shallow lapse rates; for example, northern Sumatra, the Brazilian highlands and southern Africa. By linking these velocities to the velocities of species range shifts, we report instances of close tracking in mountains with lower climate velocities. However, many species lag behind, suggesting that range shift dynamics would persist even if we managed to curb climate-change trajectories. Our findings are key for devising global conservation strategies, particularly in the 17 high-velocity mountain regions that we have identified.

Date: 2024
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DOI: 10.1038/s41586-024-07264-9

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