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Summary
This summary is machine-generated.

Investigating species-area relationships (SARs) reveals that the number of area thresholds increases with system size. Traditional methods for detecting the small island effect (SIE) are not robust, necessitating broader model comparisons for accurate biodiversity assessments.

Keywords:
breakpoint valuesconservation biogeographyisland biogeographypiecewise regressionsmall island effectspecies–area relationshipsthresholdszero‐slope regression

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Area of Science:

  • Ecology
  • Biogeography
  • Conservation Biology

Background:

  • Species-area relationships (SARs) are crucial for understanding biodiversity patterns and conservation.
  • Area thresholds, where SARs change abruptly, are key theoretical concepts.
  • Piecewise regression is a common statistical method for identifying these thresholds, but model selection varies.

Purpose of the Study:

  • To explore the prevalence and number of thresholds in global SARs.
  • To evaluate the robustness of traditional methods for detecting the small island effect (SIE).
  • To compare the performance of various piecewise regression models for SAR analysis.

Main Methods:

  • Applied 15 regression models, including linear and piecewise regressions (two- and three-segment).
  • Analyzed 68 global island datasets across various multicellular taxa.
  • Assessed model performance using AIC, AICc, and BIC criteria.

Main Results:

  • The number of area thresholds in SARs positively correlated with the area range of the studied system.
  • Three-segment models were favored by AIC/AICc, while two-segment models were favored by BIC.
  • Traditional SIE detection criteria were found to be non-robust using case studies.

Conclusions:

  • Detecting the small island effect (SIE) requires comparing a wide range of models, not just simple two-segment regressions.
  • Inappropriate model selection can lead to inaccurate slope and breakpoint estimations in SARs.
  • Accurate estimation of species-area patterns and effective conservation strategies in fragmented landscapes depend on determining the correct number of area thresholds.