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Predicting a change in the order of spring phenology in temperate forests

机译:预测温带森林春季物候的顺序变化

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The rise in spring temperatures over the past half-century has led to advances in the phenology of many nontropical plants and animals. As species and populations differ in their phenological responses to temperature, an increase in temperatures has the potential to alter timing-dependent species interactions. One species-interaction that may be affected is the competition for light in deciduous forests, where early vernal species have a narrow window of opportunity for growth before late spring species cast shade. Here we consider the Marsham phenology time series of first leafing dates of thirteen tree species and flowering dates of one ground flora species, which spans two centuries. The exceptional length of this time series permits a rare comparison of the statistical support for parameter-rich regression and mechanistic thermal sensitivity phenology models. While mechanistic models perform best in the majority of cases, both they and the regression models provide remarkably consistent insights into the relative sensitivity of each species to forcing and chilling effects. All species are sensitive to spring forcing, but we also find that vernal and northern European species are responsive to cold temperatures in the previous autumn. Whether this sensitivity reflects a chilling requirement or a delaying of dormancy remains to be tested. We then apply the models to projected future temperature data under a fossil fuel intensive emissions scenario and predict that while some species will advance substantially others will advance by less and may even be delayed due to a rise in autumn and winter temperatures. Considering the projected responses of all fourteen species, we anticipate a change in the order of spring events, which may lead to changes in competitive advantage for light with potential implications for the composition of temperate forests.
机译:在过去的半个世纪中,春季温度的上升导致许多非热带植物和动物的物候学方面的进步。由于物种和种群对温度的物候响应不同,因此温度升高可能会改变时序相关物种之间的相互作用。可能会影响物种互动的一种是落叶林中的光竞争,在早期森林中,早春物种在春末物种投下阴影之前具有狭窄的生长机会。在这里,我们考虑了跨越两个世纪的13种树种的第一片叶子日期和一种地面植物群的开花日期的Marsham物候时间序列。该时间序列的特殊长度允许对支持参数丰富的回归和机械热敏性物候模型的统计支持进行罕见的比较。尽管在大多数情况下,机械模型的效果最佳,但它们和回归模型都提供了关于每种物种对强迫和寒冷影响的相对敏感性的非常一致的见解。所有物种对春季强迫都很敏感,但我们还发现,春季和北欧物种对上一个秋天的寒冷温度有反应。这种敏感性是否反映了冷却要求或休眠的延迟尚待测试。然后,我们将这些模型应用于化石燃料密集型排放情景下的预计未来温度数据,并预测,虽然某些物种将大幅度前进,但其他物种的前进速度将有所降低,甚至可能由于秋冬季节气温的升高而被推迟。考虑到所有这14个物种的预期反应,我们预计春季事件的顺序将发生变化,这可能导致光的竞争优势发生变化,从而对温带森林的构成产生潜在影响。

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