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Clustered versus catastrophic global vertebrate declines.

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  • 1Department of Biology, McGill University, Montreal, Quebec, Canada. brian.leung2@mcgill.ca.

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Summary
This summary is machine-generated.

Global vertebrate population trends are misleading. Excluding extreme declines reveals an overall increase, highlighting the need for new conservation metrics focusing on specific population clusters.

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Area of Science:

  • Ecology
  • Conservation Biology
  • Zoology

Background:

  • Global vertebrate population declines have been reported, with previous analyses indicating a significant decrease since 1970.
  • Existing global mean indices may obscure variations and be sensitive to analytical decisions, potentially misrepresenting overall trends.

Purpose of the Study:

  • To investigate the impact of extreme population declines on global vertebrate trend analyses.
  • To propose and evaluate an alternative approach for identifying and interpreting population trends, focusing on statistically significant clusters.

Main Methods:

  • Re-analyzed existing vertebrate population data, excluding extremely declining populations.
  • Developed a novel approach to identify clusters of extreme decline or increase that deviate statistically from the majority of trends.
  • Examined trends within specific taxonomic-geographic systems and by animal size and type.

Main Results:

  • The previously reported global vertebrate decline of over 50% was driven by less than 3% of populations.
  • Excluding these extreme outliers shifted the global trend to an increase.
  • Identified 16 systems with extreme decline clusters (around 1% of populations, disproportionately larger animals) and 7 with extreme increase clusters (around 0.4% of populations).
  • The majority (98.6%) of populations showed no significant global trend, though specific regions and groups (Indo-Pacific, reptiles, amphibians) showed strong declines with varying certainty.

Conclusions:

  • Global mean trends in vertebrate populations are highly sensitive to outliers, necessitating more nuanced analytical approaches.
  • Identifying clusters of extreme trends is crucial for accurately interpreting population dynamics and prioritizing conservation efforts.
  • Conservation strategies should account for these identified clusters to effectively address regional and taxonomic-specific challenges.