Department of Life Sciences, University of Trieste, Trieste, Italy.
Institute of Ecology and Earth Science, University of Tartu, Tartu, Estonia.
Glob Chang Biol. 2022 Nov;28(22):6640-6652. doi: 10.1111/gcb.16400. Epub 2022 Sep 5.
Predicting the consequences of climate change is of utmost importance to mitigate impacts on vulnerable ecosystems; plant hydraulic traits are particularly useful proxies for predicting functional disruptions potentially occurring in the near future. This study assessed the current and future regional patterns of leaf water potential at turgor loss point (Ψ ) by measuring and projecting the Ψ of 166 vascular plant species (159 angiosperms and 7 gymnosperms) across a large climatic range spanning from alpine to Mediterranean areas in NE Italy. For angiosperms, random forest models predicted a consistent shift toward more negative values in low-elevation areas, whereas for gymnosperms the pattern was more variable, particularly in the alpine sector (i.e., Alps and Prealps). Simulations were also developed to evaluate the number of threatened species under two Ψ plasticity scenarios (low vs. high plasticity), and it was found that in the worst-case scenario approximately 72% of the angiosperm species and 68% of gymnosperms within a location were at risk to exceed their physiological plasticity. The different responses to climate change by specific clades might produce reassembly in natural communities, undermining the resilience of natural ecosystems to climate change.
预测气候变化的后果对于减轻脆弱生态系统的影响至关重要;植物水力性状是预测未来可能发生的功能障碍的特别有用的替代指标。本研究通过测量和预测意大利东北部从高山到地中海地区广泛气候范围内的 166 种维管植物(159 种被子植物和 7 种裸子植物)的膨压丧失点(Ψ)叶水势,评估了当前和未来的区域模式。对于被子植物,随机森林模型预测在低海拔地区会朝着更负的值发生一致的变化,而对于裸子植物,模式则更加多变,特别是在高山地区(即阿尔卑斯山和前阿尔卑斯山)。还进行了模拟以评估在两种Ψ可塑性情景(低 vs. 高可塑性)下受威胁物种的数量,结果发现,在最坏的情况下,一个地区内约有 72%的被子植物物种和 68%的裸子植物物种有超过其生理可塑性的风险。特定类群对气候变化的不同反应可能会导致自然群落的重新组合,从而破坏自然生态系统对气候变化的恢复力。