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Traits and climate are associated with first flowering day in herbaceous species along elevational gradients

机译:性状和气候与沿海拔梯度的草本物种的第一开花日有关

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Phenological responses to changing temperatures are known as “fingerprints of climate change,” yet these reactions are highly species specific. To assess whether different plant characteristics are related to these species‐specific responses in flowering phenology, we observed the first flowering day (FFD) of ten herbaceous species along two elevational gradients, representing temperature gradients. On the same populations, we measured traits being associated with (1) plant performance (specific leaf area), (2) leaf biochemistry (leaf C, N, P, K, and Mg content), and (3) water‐use efficiency (stomatal pore area index and stable carbon isotopes concentration). We found that as elevation increased, FFD was delayed for all species with a highly species‐specific rate. Populations at higher elevations needed less temperature accumulation to start flowering than populations of the same species at lower elevations. Surprisingly, traits explained a higher proportion of variance in the phenological data than elevation. Earlier flowering was associated with higher water‐use efficiency, higher leaf C, and lower leaf P content. In addition to that, the intensity of shifts in FFD was related to leaf N and K. These results propose that traits have a high potential in explaining phenological variations, which even surpassed the effect of temperature changes in our study. Therefore, they have a high potential to be included in future analyses studying the effects of climate change and will help to improve predictions of vegetation changes.
机译:物候变化对温度的反应被称为“气候变化的指纹”,但是这些反应是高度物种特异性的。为了评估开花物候学中不同的植物特征是否与这些物种特定的反应相关,我们观察了沿两个海拔梯度(代表温度梯度)的十种草本植物的第一开花日(FFD)。在相同的种群上,我们测量了与(1)植物性能(特定叶面积),(2)叶片生化(叶片C,N,P,K和Mg含量)以及(3)水分利用效率相关的性状(气孔面积指数和稳定的碳同位素浓度)。我们发现,随着海拔的升高,所有物种的FFD延迟都以特定物种的比率很高。与海拔较低的相同物种的种群相比,海拔较高的种群需要较少的温度积累来开始开花。出人意料的是,性状在物候数据中解释的差异比例高于海拔。开花较早与较高的水分利用效率,较高的叶片C和较低的叶片P含量相关。除此之外,FFD的变化强度与叶片N和K有关。这些结果表明,性状在解释物候变化方面具有很高的潜力,甚至超过了我们研究中温度变化的影响。因此,它们具有很大的潜力,可被纳入未来研究气候变化影响的分析中,并将有助于改善对植被变化的预测。

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