Historical and contemporary factors govern global biodiversity patterns

Area of Science:

• Ecology
• Biodiversity Science
• Macroecology

Background:

• Understanding the drivers of global biodiversity gradients is a central challenge in ecology.
• Existing models often struggle to integrate factors operating at different spatial and temporal scales.

Purpose of the Study:

• To develop and validate a novel hierarchical framework for predicting the latitudinal gradient in global vertebrate diversity.
• To incorporate the influence of time, area, productivity, and temperature at their relevant scales.

Main Methods:

• A hierarchical modeling approach was developed.
• The framework integrates ecological and environmental variables at multiple scales.
• Model performance was assessed using global vertebrate diversity data.

Main Results:

• The hierarchical framework successfully predicted the latitudinal gradient in global vertebrate diversity.
• Integration of scale-dependent factors (time, area, productivity, temperature) was crucial for accurate predictions.
• The model highlights the interplay of different drivers across geographic ranges.

Conclusions:

• A novel hierarchical framework provides a robust method for predicting global biodiversity patterns.
• Understanding scale dependencies is key to explaining biodiversity gradients.
• This framework can be applied to other taxa and regions to study diversity patterns.