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Related Concept Videos

Plant Hormones01:56

Plant Hormones

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Tonicity describes the capacity of a cell to lose or gain water. It depends on the quantity of solute that does not penetrate the membrane. Tonicity delimits the magnitude and direction of osmosis and results in three possible scenarios that alter the volume of a cell: hypertonicity, hypotonicity, and isotonicity. Due to differences in structure and physiology, tonicity of plant cells is different from that of animal cells in some scenarios.
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Related Experiment Video

Updated: Jan 21, 2026

The Plant Infection Test: Spray and Wound-Mediated Inoculation with the Plant Pathogen Magnaporthe Grisea
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Cryptic phenology in plants: Case studies, implications, and recommendations.

Loren P Albert1,2, Natalia Restrepo-Coupe1,3, Marielle N Smith1

  • 1Department of Ecology and Evolutionary Biology, The University of Arizona, Tucson, AZ, USA.

Global Change Biology
|July 26, 2019
PubMed
Summary
This summary is machine-generated.

Many plant phenological events are hidden or "cryptic," impacting ecology and climate predictions. Understanding these cryptic plant processes is crucial for accurate ecological and climate modeling.

Keywords:
climate changedynamic global vegetation modelsplant ecologyplant physiologyseasonalityterrestrial biosphere modelswhole plant biology

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Area of Science:

  • Ecology
  • Plant Biology
  • Climate Science

Background:

  • Plant phenology, the timing of plant life cycle events, is vital for understanding ecosystems.
  • Traditional phenological studies focus on visible events like flowering and budburst.
  • Cryptic phenologies, such as root production and leaf turnover in evergreens, are often overlooked.

Purpose of the Study:

  • To highlight the importance of studying cryptic plant phenology.
  • To demonstrate how capturing cryptic phenology advances scientific understanding.
  • To advocate for the conceptualization and characterization of cryptic phenology.

Main Methods:

  • Case studies examining wood phenology in a deciduous forest (USA).
  • Case studies examining leaf phenology in tropical evergreen forests (Amazonia).
  • Literature review and synthesis of existing research on cryptic phenology.

Main Results:

  • Cryptic phenologies, like root dynamics and evergreen leaf turnover, significantly influence ecological processes.
  • Understanding cryptic phenology is essential for accurate predictions of ecosystem functions.
  • Neglecting these hidden processes leads to gaps in ecological and climate models.

Conclusions:

  • Conceptualizing and characterizing cryptic plant phenology is necessary for ecological and evolutionary understanding.
  • Further research into the causes and consequences of cryptic phenology is recommended.
  • Integrating cryptic phenological processes into terrestrial biosphere models is crucial for improving climate change predictions.