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Warming-induced changes in bud dormancy and their effects on leaf phenology in common European tree species

Warming-induced changes in bud dormancy and their effects on leaf phenology in common European tree species
变暖引起的欧洲常见树种芽休眠变化及其对叶片物候的影响
批准号:
403176259
负责人:
Dr. Andrey Malyshev
金额:
$0.0万
依托单位国家:
德国
项目类别:
Research Grants
财政年份:
2018
资助国家:
德国
项目状态:
已结题
起止时间:
2017-12-31 至 2022-12-31

项目摘要

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中文摘要
翻译
春季落叶和秋季植物衰老的时间在很大程度上决定了植物生长季节的长短,并在生态系统的净生产力中起着重要作用。春季和秋季温度升高分别与春季叶片提前脱落和植物衰老延迟密切相关。然而,最近观测到的在过去几十年中,每一度变暖的春季变绿推进率的下降反映了植物物候对气候变暖的非线性响应。未来的预测表明,对某些物种来说,春季落叶的进展可能会停止甚至推迟。秋天的衰老更加难以预测,新的证据表明,它可以在春天发芽后提前,而在秋天温度升高时推迟。因此,了解物种在物候变化中响应气候变化的机制原因,对于更好地预测未来生态系统功能、植物群落组成和动植物相互作用的变化至关重要。迄今为止,气候变化下植物物候的变化大多是通过观测的方式来解决的,将历史物候日期与温度记录联系起来。最近,对芽休眠的更好理解为芽爆发日期背后的生物控制提供了更好的解释。例如,在芽休眠诱导过程中加热可以增加芽的休眠深度,导致春季发芽延迟。因此,花蕾休眠的变化已经开始被纳入物候模型,并导致改进的花蕾日期预测。然而,芽休眠诱导的物种特异性光周期和/或温度控制尚不清楚,需要量化。植物物候不仅仅是由秋天和春天的温度决定的。芽休眠深度、光周期敏感性以及季节和年度结转效应已被证明是植物物候学的重要驱动因素。因此,本项目的实验将主要集中在a)光周期和温度对芽休眠深度的相对影响,b)变暖诱导的芽休眠深度变化以及c)春季物候时间对后续叶片衰老和春季芽期的遗留效应。通过对欧洲常见树种和Fagus sylvatica生态型(可以说是欧洲最重要的本土树种)进行实验,将量化种内和种间的变异。总之,温度和光周期的操纵将用于量化变暖诱导的芽休眠变化和随后的叶片物候的种间和种内变化。物候变化不仅仅是温度驱动的“黑匣子”效应,而是与芽休眠的特定变化有关的实验结果将加深我们对植物物候的机制理解,并将为未来的物候模型提供有价值的基础。
英文摘要
The timing of leaf-out in the spring and plant senescence in the fall largely determines the length of a plant’s growing season and plays a major role in the net productivity of an ecosystem. Warmer spring and fall temperatures have been closely linked with advanced spring leaf-out and delayed plant senescence, respectively. However, a recently observed reduction in the rate of advancement of spring green-up per degree of warming over the last decades reflects a nonlinear response of plant phenology to climate warming. Future projections indicate that for certain species, advancement in spring leaf-out can stop or even be delayed. Fall senescence is much more unpredictable, with new evidence showing that it can be advanced following an earlier budburst in the spring and be delayed by warmer fall temperatures. Understanding the mechanistic causes of species-specific shifts in phenology in response to climate change is thus essential to better project future changes in ecosystem functions, plant community compositions and plant-animal interactions. To date changes in plant phenology under climate change have mostly been addressed in an observational manner, correlating historical phenological dates with temperature records. Recently, a better understanding of bud dormancy has provided an improved explanation for the biological controls behind bud burst dates. For example, warming during bud dormancy induction can increase bud dormancy depth and lead to a delayed spring budburst. As a result, bud dormancy changes have started to be incorporated into phenological models and have led to improved budburst date predictions. The species-specific photoperiodic and/or temperature control of bud dormancy induction is not known however and needs to be quantified. Plant phenology is not simply driven by fall and spring temperatures. Bud dormancy depth, photoperiod sensitivity and seasonal as well as yearly carry-over effects have been shown to be important drivers of plant phenology. The experiments in this project will thus primarily focus on a) the relative influence of photoperiod and temperature on bud dormancy depth, b) warming-induced changes in bud dormancy depth and c) legacy effects of spring phenology timing on subsequent leaf senescence and spring budburst dates. Among- as well as within-species variation will be quantified by conducting the experiments on common European tree species and ecotypes of Fagus sylvatica, arguably the most important native tree species in Europe. Taken together, manipulation of temperature and photoperiod will be used to quantify among- and within-species variation in warming-induced bud dormancy changes and subsequent leaf phenology. Experimental results where phenological changes are not merely left to temperature-driven "black box" effects but are linked to specific changes in bud dormancy will deepen our mechanistic understanding of plant phenology and will be a valuable basis for future phenology models.
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