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  1. Home
  2. Temporal Variability And Predictability Predict Alpine Plant Community Composition And Distribution Patterns.
  1. Home
  2. Temporal Variability And Predictability Predict Alpine Plant Community Composition And Distribution Patterns.

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Temporal variability and predictability predict alpine plant community composition and distribution patterns.

William J Reed1, Aaron J Westmoreland1, Katharine N Suding1

  • 1Department of Ecology and Evolutionary Biology, University of Colorado, Boulder, Colorado, USA.

Ecology
|October 26, 2024

View abstract on PubMed

Summary
This summary is machine-generated.

Temporal environmental changes, like soil moisture and temperature fluctuations, significantly influence alpine plant communities. Understanding variability and predictability is key to predicting plant distribution and composition in these dynamic ecosystems.

Keywords:
Long‐Term Ecological ResearchNiwot Ridgealpine vegetationcommunity compositionfluctuationpredictabilityspecies distributionstemporal variationvariability

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Area of Science:

  • Ecology
  • Environmental Science

Background:

  • Natural systems are dynamic, with temporal fluctuations influencing community composition and species distributions.
  • However, temporal variability is often overlooked in species-environment association studies.
  • Understanding these temporal dynamics is crucial for ecological research.

Purpose of the Study:

  • To investigate the impact of temporal environmental variation (variability and predictability) on alpine plant community composition and species distribution.
  • To determine if temporal metrics improve predictions compared to average conditions alone.

Main Methods:

  • Utilized high-resolution temporal measurements of soil moisture and temperature from 13 locations over four years at Niwot Ridge Long-Term Ecological Research site.
  • Characterized annual mean, variability, and predictability of soil moisture and temperature.
  • Combined environmental data with annual vegetation surveys to assess predictive power.
  • Main Results:

    • Metrics of soil moisture and temperature variability and predictability at daily and seasonal timescales enhanced explanations of spatial variation in plant community composition.
    • Daily soil moisture and temperature variability, and seasonal soil moisture predictability, were particularly important for predicting community composition and species occurrences.
    • Fluctuations in soil moisture and temperature are significant predictors of alpine plant community structure and species distribution.

    Conclusions:

    • Temporal variability and predictability in soil moisture and temperature are critical factors shaping alpine plant communities.
    • These temporal components offer important niche axes that differentiate species along environmental gradients.
    • Incorporating temporal dynamics is essential for a comprehensive understanding of species-environment associations in heterogeneous landscapes.