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When Do Shifts in Trait Dynamics Precede Population Declines?

Gaurav Baruah, Christopher F Clements, Frédéric Guillaume

    The American Naturalist
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    This summary is machine-generated.

    Environmental changes can impact populations. Shifts in fitness traits may signal population declines early, especially with predictable environments and sufficient genetic variation.

    Keywords:
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    Area of Science:

    • Ecology and Evolutionary Biology
    • Population Dynamics
    • Environmental Change

    Background:

    • Predicting population responses to environmental change is a key ecological challenge.
    • Fitness-related traits can shift before population dynamics change, serving as early warning signals.
    • Understanding the conditions for these trait shifts preceding population responses remains unclear.

    Purpose of the Study:

    • To investigate the ecological and evolutionary conditions under which fitness-related trait shifts precede population declines.
    • To explore trait-based demographic dynamics in a density-regulated population facing environmental change.
    • To identify factors influencing the lead time of trait shifts before population collapse.

    Main Methods:

    • Employed a trait-based demographic approach combining analytical models and experimental data.
    • Simulated and analyzed population and trait dynamics under gradual environmental change.
    • Assessed the influence of environmental predictability, reproductive rate, plasticity, and genetic variation.

    Main Results:

    • Trait shifts can precede population decline under medium to slow rates of environmental change.
    • Environmental predictability, net reproductive rate, plasticity, and genetic variation positively influence trait shifts preceding population decline.
    • These findings remain robust even with fluctuating genetic variation and environmental stochasticity.

    Conclusions:

    • Fitness-related traits can serve as reliable early warning signals for impending population declines.
    • Specific ecological and evolutionary factors modulate the effectiveness of these early warning signals.
    • This research provides crucial insights into predicting population viability under environmental perturbation.