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Duration and variability of spring green-up mediate population consequences of climate change

  • Martins Briedis*
  • , Steffen Hahn
  • , Silke Bauer
  • *Corresponding author for this work
  • Swiss Ornithological Institute
  • University of Amsterdam
  • Swiss Federal Institute of Technology Zurich

Research output: Contribution to journalArticlepeer-review

13 Citations (Scopus)

Abstract

Single phenological measures, like the average rate of phenological advancement, may be insufficient to explain how climate change is driving trends in animal populations. Here, we develop a multifactorial concept of spring phenology—including the onset of spring, spring duration, interannual variability, and their temporal changes—as a driver for population dynamics of migratory terrestrial species in seasonal environments. Using this conceptual model, we found that effects of advancing spring phenology on animal populations may be buffered or amplified depending on the duration and interannual variability of spring green-up, and those effects are modified by evolutionary and plastic adaptations of species. Furthermore, we compared our modelling results with empirical data on normalized difference vegetation index-based spring green-up phenology and population trends of 106 European landbird finding similar associations. We conclude how phenological changes are expected to affect migratory bird populations across Europe and identify regions that are particularly prone to suffer population declines.

Original languageEnglish
Article numbere14380
JournalEcology Letters
Volume27
Issue number2
DOIs
Publication statusPublished - Feb 2024

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 13 - Climate Action
    SDG 13 Climate Action
  2. SDG 15 - Life on Land
    SDG 15 Life on Land

OECD Field of Science

  • 1.6 Biological Sciences

Keywords

  • climate change
  • migratory birds
  • NDVI
  • phenological mismatch
  • population trends
  • spring duration
  • spring onset
  • spring variability

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