Martin Luther University Halle-Wittenberg, Halle (Saale), Germany.
German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany.
Nat Commun. 2021 Mar 23;12(1):1824. doi: 10.1038/s41467-021-21977-9.
There is an urgent need to synthesize the state of our knowledge on plant responses to climate. The availability of open-access data provide opportunities to examine quantitative generalizations regarding which biomes and species are most responsive to climate drivers. Here, we synthesize time series of structured population models from 162 populations of 62 plants, mostly herbaceous species from temperate biomes, to link plant population growth rates (λ) to precipitation and temperature drivers. We expect: (1) more pronounced demographic responses to precipitation than temperature, especially in arid biomes; and (2) a higher climate sensitivity in short-lived rather than long-lived species. We find that precipitation anomalies have a nearly three-fold larger effect on λ than temperature. Species with shorter generation time have much stronger absolute responses to climate anomalies. We conclude that key species-level traits can predict plant population responses to climate, and discuss the relevance of this generalization for conservation planning.
目前迫切需要综合我们对植物对气候响应的认识。开放获取数据的可用性为检验有关哪些生物群落和物种对气候驱动因素最敏感的定量概括提供了机会。在这里，我们综合了 162 个种群的 62 种植物的结构化种群模型的时间序列，这些植物主要是来自温带生物群落的草本物种，以将植物种群增长率（λ）与降水和温度驱动因素联系起来。我们预计：（1）降水对人口增长的影响比温度更为显著，尤其是在干旱生物群落中；（2）短命物种比长寿物种对气候的敏感性更高。我们发现，降水异常对λ的影响比温度大近三倍。具有更短世代时间的物种对气候异常的绝对响应要强得多。我们得出的结论是，关键的种级特征可以预测植物对气候的种群响应，并讨论了这种概括对保护规划的相关性。
