Temperature and photoperiod drive spring phenology across all species in a temperate forest community

Temperature and photoperiod drive spring phenology across all species in a temperate forest community
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DOI:
10.1111/nph.15232
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发表时间:
2018-09-01
期刊:
影响因子:
9.4
通讯作者:
Wolkovich, E. M.
Wolkovich, E. M.
中科院分区:
生物学1区
文献类型:
--
作者:
Flynn, D. F. B.;Wolkovich, E. M.

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春季植物物候与气候变化的准确预测是至关重要的生长季节,植物群落和一些生态系统服务,包括碳储存的预测。然而,预测方面的进展一直很缓慢,因为已知驱动物候的主要线索-温度(包括冬季寒冷和春季强迫)和光周期-通常在性质上是协变的,并且可能相互作用,使得准确预测植物对气候变化的反应复杂而非线性。另一方面,最近的研究表明,许多物种可能被一种线索所支配,这将使预测变得简单得多。在这里,我们操纵了来自两个北美森林的28个木本物种的所有三个线索。所有物种都对所有线索作出了反应。低温处理的影响很大,尤其是在萌芽期(-15.8d),对强迫和光周期的反应最大的是脱叶期(分别为-19.1和-11.2d)。激冷和强迫之间的相互作用表明,每一种暗示都可能在某种程度上补偿另一种暗示。不同物种之间的线索,导致交错叶内每个社区和支持的想法,物候是一个关键方面的物种的时间生态位。我们的研究结果表明,预测群落的春季物候将是困难的,因为我们研究的所有物种都可能对未来变暖产生复杂的非线性反应。
Accurate predictions of spring plant phenology with climate change are critical for projections of growing seasons, plant communities and a number of ecosystem services, including carbon storage. Progress towards prediction, however, has been slow because the major cues known to drive phenology - temperature (including winter chilling and spring forcing) and photoperiod - generally covary in nature and may interact, making accurate predictions of plant responses to climate change complex and nonlinear. Alternatively, recent work suggests many species may be dominated by one cue, which would make predictions much simpler. Here, we manipulated all three cues across 28 woody species from two North American forests. All species responded to all cues examined. Chilling exerted a strong effect, especially on budburst (-15.8d), with responses to forcing and photoperiod greatest for leafout (-19.1 and -11.2d, respectively). Interactions between chilling and forcing suggest that each cue may compensate somewhat for the other. Cues varied across species, leading to staggered leafout within each community and supporting the idea that phenology is a critical aspect of species' temporal niches. Our results suggest that predicting the spring phenology of communities will be difficult, as all species we studied could have complex, nonlinear responses to future warming.