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The Impact of Winter and Spring Temperatures on Temperate Tree Budburst Dates: Results from an Experimental Climate Manipulation

机译:冬春季温度对温带树花季追踪计划日期的影响:从气候实验结果操纵

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摘要

Budburst phenology is a key driver of ecosystem structure and functioning, and it is sensitive to global change. Both cold winter temperatures (chilling) and spring warming (forcing) are important for budburst. Future climate warming is expected to have a contrasting effect on chilling and forcing, and subsequently to have a non-linear effect on budburst timing. To clarify the different effects of warming during chilling and forcing phases of budburst phenology in deciduous trees, (i) we conducted a temperature manipulation experiment, with separate winter and spring warming treatments on well irrigated and fertilized saplings of beech, birch and oak, and (ii) we analyzed the observations with five temperature-based budburst models (Thermal Time model, Parallel model, Sequential model, Alternating model, and Unified model). The results show that both winter warming and spring warming significantly advanced budburst date, with the combination of winter plus spring warming accelerating budburst most. As expected, all three species were more sensitive to spring warming than to winter warming. Although the different chilling requirement, the warming sensitivity was not significantly different among the studied species. Model evaluation showed that both one- and two- phase models (without and with chilling, respectively) are able to accurately predict budburst. For beech, the Sequential model reproduced budburst dates best. For oak and birch, both Sequential model and the Thermal Time model yielded good fit with the data but the latter was slightly better in case of high parameter uncertainty. However, for late-flushing species, the Sequential model is likely be the most appropriate to predict budburst data in a future warmer climate.
机译:Budburst物候是生态系统结构和功能的主要驱动力,并且对全球变化敏感。寒冷的冬季温度(寒冷)和春季的温暖(强迫)对于爆发都非常重要。预计未来的气候变暖将对寒冷和强迫产生相反的影响,随后对芽萌发时机产生非线性影响。为了弄清落叶树木芽期物候在寒冷和强迫阶段变暖的不同影响,(i)我们进行了温度操纵实验,对分别灌溉和受精的山毛榉,桦树和橡树幼树分别进行了冬季和春季增温处理,以及(ii)我们使用五个基于温度的芽突发模型(热时间模型,并行模型,顺序模型,交替模型和统一模型)分析了观测结果。结果表明,冬季增温和春季增温均显着提前了芽期,而冬季加春季增温的组合最加速芽期。不出所料,这三个物种对春季变暖的敏感性都大于对冬季变暖的敏感性。尽管不同的冷藏要求,但对温度的敏感性在所研究的物种之间没有显着差异。模型评估表明,一阶段和两阶段模型(分别不带冷却和不带冷却)都能够准确地预测爆发。对于山毛榉,序贯模型最能再现芽期。对于橡树和桦树,顺序模型和热时间模型都与数据很好地拟合,但是在高参数不确定性的情况下后者要好一些。但是,对于后期冲洗的物种,顺序模型可能是最适合预测未来变暖气候下的爆发数据的模型。

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