Advances in flowering phenology across the Northern Hemisphere are explained by functional traits

Patrizia König*, Susanne Tautenhahn, J. Hans C. Cornelissen, Jens Kattge, Gerhard Bönisch, Christine Römermann

*Corresponding author for this work

    Research output: Contribution to JournalArticleAcademicpeer-review

    147 Downloads (Pure)

    Abstract

    Aim: Numerous studies have reported changes in first flowering day (FFD-changes) in response to changes in climate. However, regarding the direction (advances versus delays) and the intensity (number of days/decade) of FFD-changes, species show differences even when observed in the same location. Here, we examine the extent to which plant traits can explain observed differences in the response of flowering phenology in trees, shrubs, herbs and grasses. Location: Eighteen sites distributed over the Northern Hemisphere. Methods: We compiled data from the literature on FFD-changes over recent decades for 562 species (648 observations). We related FFD-changes to predictor variables associated with (a) changes in climate, (b) local site conditions and (c) traits. Results: Of all FDD-changes, 80.4% were FFD-advances, 69.9% not exceeding 5 days/decade, and 10.5% exceeding 5 days/decade, whereas 19.6% reported delays. The intensity of FFD-advances could be explained by several predictor variables from all three groups (a–c). The importance of these variables differed between the growth forms. Overall, decreasing precipitation was more important than increasing temperature in explaining FFD-advances. FFD-advances were strongest in polar tundra and in dry and warm habitats. Traits related to competition and growth rate, like plant height, specific leaf area and leaf dry matter content, had substantial explanatory power in the models. Traits had the highest overall importance in trees and grasses. In herbs they were of equal importance with changes in climate. In shrubs, variables related to site conditions best explained the intensity of FFD-advances. Main conclusions: Plant traits are important to understand species-specific and growth form-specific differences in phenological responses to climatic changes. Hence, in future observations and predictions of plant phenology, traits should be taken into consideration, especially those related to competition and growth rate, as they improve our understanding of adaptations leading to phenological changes.

    Original languageEnglish
    Pages (from-to)310-321
    Number of pages12
    JournalGlobal Ecology and Biogeography
    Volume27
    Issue number3
    Early online date27 Dec 2017
    DOIs
    Publication statusPublished - Mar 2018

    Funding

    We want to thank Ingolf Ku€hn, Solveig Franziska Bucher and Miguel Mahecha for their statistical and interpretational support and Martin Jung and Ulrich Weber for providing data on the water availability index and both of them as well as Jannis von Buttlar for the help with the climate data. The study was supported by the TRY initiative on plant traits (http://www.trydb.org). The TRY initiative and database are hosted, developed and maintained by J. Kattge and G. Bo€nisch (Max-Planck-Institute for Biogeochemistry, Jena, Germany). TRY is/has been supported by DIVERSITAS, IGBP, the Global Land Project, the UK Natural Environment Research Council (NERC) through its program QUEST (Quantifying and Understanding the Earth System), the French Foundation for Biodiversity Research (FRB), and GIS ‘Climat, Environnement et Société’ France.

    FundersFunder number
    DIVERSITAS
    Environnement et Société’ France
    French Foundation for Biodiversity Research
    GIS ‘Climat
    IGBP
    Natural Environment Research Council
    Fondation pour la Recherche sur la Biodiversite
    Genome Institute of Singapore

      Keywords

      • canopy height
      • climate change
      • first flowering day
      • growth form
      • habitat characteristics
      • plant traits
      • specific leaf area

      Fingerprint

      Dive into the research topics of 'Advances in flowering phenology across the Northern Hemisphere are explained by functional traits'. Together they form a unique fingerprint.

      Cite this