Note: When clicking on a Digital Object Identifier (DOI) number, you will be taken to an external site maintained by the publisher.
Some full text articles may not yet be available without a charge during the embargo (administrative interval).
What is a DOI Number?
Some links on this page may take you to non-federal websites. Their policies may differ from this site.
In recent decades, the final frost dates of winter have advanced throughout North America, and many angiosperm taxa have simultaneously advanced their flowering times as the climate has warmed. Phenological advancement may reduce plant fitness, as flowering prior to the final frost date of the winter/spring transition may damage flower buds or open flowers, limiting fruit and seed production. The risk of floral exposure to frost in the recent past and in the future, however, also depends on whether the last day of winter frost is advancing more rapidly, or less rapidly, than the date of onset of flowering in response to climate warming. This study presents the first continental‐scale assessment of recent changes in frost risk to floral tissues, using digital records of 475,694 herbarium specimens representing 1,653 angiosperm species collected across North America from 1920 to 2015. For most species, among sites from which they have been collected, dates of last frost have advanced much more rapidly than flowering dates. As a result, frost risk has declined in 66% of sampled species. Moreover, exotic species consistently exhibit lower frost risk than native species, primarily because the former occupy warmer habitats where the annual frost‐free period begins earlier. While reducing the probability of exposure to frost has clear benefits for the survival of flower buds and flowers, such phenological advancement may disrupt other ecological processes across North America, including pollination, herbivory, and disease transmission.
Herbarium specimens have been used to detect climate‐induced shifts in flowering time by using the day of year of collection (
DOY) as a proxy for first or peak flowering date. Variation among herbarium sheets in their phenological status, however, undermines the assumption that DOYaccurately represents any particular phenophase. Ignoring this variation can reduce the explanatory power of pheno‐climatic models ( PCMs) designed to predict the effects of climate on flowering date. Methods
Here we present a protocol for the phenological scoring of imaged herbarium specimens using an ImageJ plugin, and we introduce a quantitative metric of a specimen's phenological status, the phenological index (
PI), which we use in PCMs to control for phenological variation among specimens of Streptanthus tortuosus(Brassicaceeae) when testing for the effects of climate on DOY. We demonstrate that including PIas an independent variable improves model fit. Results
PIin PCMs increased the model R2relative to PCMs that excluded PI; regression coefficients for climatic parameters, however, remained constant. Discussion
Our protocol provides a simple, quantitative phenological metric for any observed plant. Including
PIin PCMs increases R2and enables predictions of the DOYof any phenophase under any specified climatic conditions.