Modelling thermal sensitivity in the full phenological distribution: A new approach applied to the spring arboreal caterpillar peak

Modelling thermal sensitivity in the full phenological distribution: A new approach applied to the spring arboreal caterpillar peak
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模拟全物候分布中的热敏感性:应用于春季树栖毛毛虫高峰的新方法

DOI:
10.1111/1365-2435.14436
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发表时间:
2023
期刊:
影响因子:
5.2
通讯作者:
Macphie K
Macphie K
中科院分区:
环境科学与生态学1区
文献类型:
--
作者:
Macphie K

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春季物候学的进展是对气候变暖最明确的生物反应之一。由于关键事件的时间对物种相互作用、养分循环和生态系统服务有影响,气候对物候的影响一直很有兴趣。迄今为止,大多数工作只集中在种群物候学的一个方面,即温度对平均时间的影响。相比之下,温度对个体丰度及其季节性传播的影响尚未得到充分研究,尽管它们可能对物种相互作用产生深远的影响。本文提出了一种直接估计春季温度对物候分布时间、高度和宽度影响的新方法,并将其应用于温带森林毛虫物候和营养错配研究的热点。研究发现,春季变暖使丰度物候分布的时间提前了- 4.96天°C−1,高度增加了34%°C−1,但对丰度分布的持续时间没有显著影响。随着气温上升,树栖毛虫的最大密度增加,这对了解气候对森林食物链的影响具有重要意义,包括草食压力和次级消费者可利用的资源。我们开发的新方法可以直接从原始数据中模拟整个物候分布的热敏性,为全球变化研究提供了一种灵活的方法,具有广泛的适用性。在《华尔街日报》博客上阅读免费的《简明语言摘要》。
Advances in spring phenology are among the clearest biological responses to climate warming. There has been much interest in how climate impacts on phenology because the timings of key events have implications for species interactions, nutrient cycling and ecosystem services. To date most work has focused on only one aspect of population phenology, the effects of temperature on the average timing. In comparison, effects of temperature on the abundance of individuals and their seasonal spread are understudied, despite their potential to have profound impacts on species interactions.Here we develop a new method that directly estimates the effect of spring temperatures on the timing, height and width of the phenological distribution and apply it to temperate forest caterpillars, a guild that has been the focus of much research on phenology and trophic mismatch.We find that warmer spring conditions advance the timing of the phenological distribution of abundance by −4.96 days °C−1and increase its height by 34% °C−1but have no significant effect on the duration of the distribution. An increase in the maximum density of arboreal caterpillars with rising temperatures has implications for understanding climate impacts on forest food chains, both in terms of herbivory pressure and the resources available to secondary consumers.The new method we have developed allows the thermal sensitivity in the full phenological distribution to be modelled directly from raw data, providing a flexible approach that has broad applicability within global change research.Read the free Plain Language Summary for this article on the Journal blog.
DOI: 10.1086/705241
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