five

Pre-adaptation to climate change through topography-driven evolution of traits and their plasticity

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DataCite Commons2026-03-12 更新2026-04-25 收录
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https://datadryad.org/dataset/doi:10.5061/dryad.5tb2rbp17
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1. Climate change will increase the level of drought stress experienced by plant communities, but the spatial distribution of projected changes in dryness remains highly uncertain. Species can, to some extent, deal with climate uncertainty through natural variation in adaptive responses to environmental heterogeneity and predictability. Biodiversity conservation could thus target populations pre-adapted to climatic heterogeneity to anticipate climate uncertainty. Disentangling evolution of trait means vs. trait plasticity, however, requires a sampling design with genetic replicates grown under distinct environmental conditions. 2. Here, we applied three soil moisture treatments to genetic replicates of Fragaria vesca plants raised from seeds that were sampled in distinct topographical settings, to study adaptive trait and plasticity divergence in response to drought. 3. We demonstrate that various plant traits evolved along distinct topographical gradients. For example, populations on south-exposed slopes retained high levels of both flowering and runner formation under drought stress, while north-faced populations hardly flowered under reduced soil moisture levels. Aspect but not elevation was found to coincide with plant traits, suggesting that micro-environmental variation rather than general clines in elevation drive evolution in mountainous landscapes. Our results also indicate that traits and their plasticity can evolve independently in response to distinct topographical stressors. 4. Synthesis. We conclude that heterogeneous landscapes (i) harbor micro-refugia of adaptive genetic diversity that protect natural populations against environmental change, and (ii) represent invaluable sources of quantitative genetic variation that could support conservation where climate projections are inconclusive.
提供机构:
Dryad
创建时间:
2020-01-29
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