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Distinct responses and range shifts of lizard populations across an elevational gradient under climate change

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Ongoing climate change has profoundly affected global biodiversity, but its impacts on populations across elevations remain understudied. Using mechanistic niche models incorporating species traits, we predicted ecophysiological responses (activity times,… Click to show full abstract

Ongoing climate change has profoundly affected global biodiversity, but its impacts on populations across elevations remain understudied. Using mechanistic niche models incorporating species traits, we predicted ecophysiological responses (activity times, oxygen consumption and evaporative water loss) for lizard populations at high‐elevation (<3600 m asl) and extra‐high‐elevation (≥3600 m asl) under recent (1970–2000) and future (2081–2100) climates. Compared with their high‐elevation counterparts, lizards from extra‐high‐elevation are predicted to experience a greater increase in activity time and oxygen consumption. By integrating these ecophysiological responses into hybrid species distribution models (HSDMs), we were able to make the following predictions under two warming scenarios (SSP1‐2.6, SSP5‐8.5). By 2081–2100, we predict that lizards at both high‐ and extra‐high‐elevation will shift upslope; lizards at extra‐high‐elevation will gain more and lose less habitat than will their high‐elevation congeners. We therefore advocate the conservation of high‐elevation species in the context of climate change, especially for those populations living close to their lower elevational range limits. In addition, by comparing the results from HSDMs and traditional species distribution models, we highlight the importance of considering intraspecific variation and local adaptation in physiological traits along elevational gradients when forecasting species' future distributions under climate change.

Keywords: climate change; populations across; lizard populations; elevation; high elevation

Journal Title: Global Change Biology
Year Published: 2023

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