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    Repeating historical experiments helps understand organismal mechanisms driving unpredictable environmental change responses. This functional resurvey approach extends beyond resurrection studies for better ecological forecasts.

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    Area of Science:

    • Ecology and Evolutionary Biology
    • Organismal Biology

    Background:

    • Organismal responses to environmental change are often heterogeneous and unpredictable.
    • Understanding the underlying mechanisms is crucial for ecological and evolutionary forecasting.
    • Existing approaches like resurrection studies have limitations.

    Purpose of the Study:

    • To introduce and advocate for the approach of repeating historical experiments (functional resurveys) to understand organismal responses to environmental change.
    • To highlight the potential of this underutilized method for extending current understanding.
    • To demonstrate how functional resurveys can improve ecological and evolutionary predictions.

    Main Methods:

    • Repeating historical physiological measurements and behavioral experiments.
    • Replicating selection and quantitative genetic experiments.
    • Measuring ecosystem function over time.
    • Utilizing novel approaches like temporal genomics and genomic reconstruction.
    • Inferring organismal function from modern and historical specimens and data.

    Main Results:

    • Functional resurveys reveal key organismal mechanisms mediating responses to environmental change.
    • The approach is applicable across physiological, behavioral, ecological, and evolutionary studies.
    • It offers a broader scope than traditional resurrection studies.
    • Novel methods enhance the ability to infer historical and current organismal function.

    Conclusions:

    • Repeating historical experiments provides a powerful, versatile method for studying organismal adaptation.
    • Functional resurveys significantly enhance our ability to predict ecological and evolutionary outcomes.
    • This approach is essential for understanding and forecasting life in a changing world.