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Understanding complex biogeographic responses to climate change.

Rui Seabra1, David S Wethey2, António M Santos3

  • 11] CIBIO/InBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto, Campus Agrário de Vairão, 4485-661, Vairão, Portugal [2] Departamento de Biologia, Faculdade de Ciências da Universidade do Porto, R. Campo Alegre, s/n, 4169-007 Porto, Portugal.

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Species range shifts may appear contrary to climate change predictions because simple temperature metrics are poor predictors. Analyzing specific temperature metrics is crucial for accurate climate change impact assessments on species distribution.

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Area of Science:

  • Ecology
  • Climate Change Biology
  • Biogeography

Background:

  • Predicting species range shifts due to climate change is critical for conservation.
  • Observed range shifts often contradict expectations of poleward movement.
  • Understanding fundamental distribution mechanisms is key to interpreting these shifts.

Purpose of the Study:

  • To assess patterns of ecologically relevant temperature metrics along the European Atlantic coast.
  • To determine if simple temperature metrics accurately predict species distribution patterns.
  • To investigate why some species range shifts appear contrary to climate change predictions.

Main Methods:

  • Analysis of temperature metrics (daily range, min, max) across the European Atlantic.
  • Evaluation of geographical patterns of these temperature metrics.
  • Comparison of metric patterns with latitude and grand mean temperature.

Main Results:

  • Ecologically relevant temperature metrics exhibit diverse geographical patterns.
  • Latitude and grand mean temperature are inadequate predictors for many temperature metrics.
  • Contrasting patterns highlight the complexity of climate change impacts on species.

Conclusions:

  • Simple temperature metrics can be poor indicators of climate change impacts on species distribution.
  • Failure to analyze appropriate temperature metrics can lead to misclassification of range shift directions.
  • Accurate prediction of species range shifts requires nuanced analysis of climate variables.