Cryptic phenology in plants: Case studies, implications, and recommendations

Loren P. Albert, Natalia Restrepo-Coupe, Marielle N. Smith, Jin Wu, Cecilia Chavana-Bryant, Neill Prohaska, Tyeen C. Taylor, Giordane A. Martins, Philippe Ciais, Jiafu Mao, M. Altaf Arain, Wei Li, Xiaoying Shi, Daniel M. Ricciuto, Travis E. Huxman, Sean M. McMahon, Scott R. Saleska

Research output: Contribution to journalReview articlepeer-review

3 Scopus citations

Abstract

Plant phenology—the timing of cyclic or recurrent biological events in plants—offers insight into the ecology, evolution, and seasonality of plant-mediated ecosystem processes. Traditionally studied phenologies are readily apparent, such as flowering events, germination timing, and season-initiating budbreak. However, a broad range of phenologies that are fundamental to the ecology and evolution of plants, and to global biogeochemical cycles and climate change predictions, have been neglected because they are “cryptic”—that is, hidden from view (e.g., root production) or difficult to distinguish and interpret based on common measurements at typical scales of examination (e.g., leaf turnover in evergreen forests). We illustrate how capturing cryptic phenology can advance scientific understanding with two case studies: wood phenology in a deciduous forest of the northeastern USA and leaf phenology in tropical evergreen forests of Amazonia. Drawing on these case studies and other literature, we argue that conceptualizing and characterizing cryptic plant phenology is needed for understanding and accurate prediction at many scales from organisms to ecosystems. We recommend avenues of empirical and modeling research to accelerate discovery of cryptic phenological patterns, to understand their causes and consequences, and to represent these processes in terrestrial biosphere models.

Original languageEnglish (US)
Pages (from-to)3591-3608
Number of pages18
JournalGlobal change biology
Volume25
Issue number11
DOIs
StatePublished - Nov 1 2019

Keywords

  • climate change
  • dynamic global vegetation models
  • plant ecology
  • plant physiology
  • seasonality
  • terrestrial biosphere models
  • whole plant biology

ASJC Scopus subject areas

  • Global and Planetary Change
  • Environmental Chemistry
  • Ecology
  • Environmental Science(all)

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