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

• Published in: Global change biology Vol. 21; no. 7; pp. 2603 - 2611
• Main Authors: Roberts, Adrian M.I., Tansey, Christine, Smithers, Richard J., Phillimore, Albert B.
• Format: Journal Article
• Language: English
• Published: England Blackwell Publishing Ltd 01.07.2015; John Wiley and Sons Inc
• Subjects: chilling; climate change; forcing; Forests; growing degree-day; Phenology; plasticity; prediction; Primary; Primary s; shade; species interactions; Time series; forcing; chilling; species interactions; phenology; prediction; shade; plasticity; growing degree-day; climate change
• ISSN: 1354-1013; 1365-2486
• DOI: 10.1111/gcb.12896

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.