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Multivariate Bayesian clustering using covariate-informed components with application to boreal vegetation

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Climate change affects vegetation distribution differently across regions. This study introduces a new statistical model to identify vegetation sensitivity and robustness to climate shifts, using Alaska as a case study.

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Area of Science:

  • Ecology
  • Climate Science
  • Statistical Modeling

Background:

  • Climate change significantly impacts vegetation distribution and abundance, particularly in Arctic regions.
  • Understanding vegetation sensitivity and robustness to climate shifts is crucial but limited by a lack of long-term data.
  • Plant assemblages exhibit heterogeneous responses to climate change across space and time.

Purpose of the Study:

  • To develop a novel statistical model for assessing vegetation sensitivity and robustness to climate change.
  • To identify patterns and mechanisms underlying differential vegetation responses.
  • To apply the model to vegetation abundance data in Alaska, leveraging spatial extent as a proxy for historical observations.

Main Methods:

  • Development of a multivariate statistical model incorporating unknown cluster-specific effects and covariances.
  • Utilizing a prototype model for cluster membership that allows flexibility and enforces smoothness across sites.
  • Application of the model to vegetation abundance data from Alaska, USA.

Main Results:

  • The model successfully identifies site-level cluster labels indicating vegetation sensitivity and robustness.
  • Interpretable classifications of vegetation assemblages based on their climate response were achieved.
  • The approach did not require strong a priori assumptions about climate sensitivity drivers.

Conclusions:

  • The novel statistical model provides a flexible framework for understanding vegetation climate sensitivity.
  • Spatial extent can serve as a valuable proxy for unrecorded historical climate and vegetation data.
  • The findings enhance our understanding of ecological responses to climate change in high-latitude ecosystems.