Occurrence-based diversity estimation reveals macroecological and conservation knowledge gaps for global woody plants

Area of Science:

• Biodiversity research
• Biogeography
• Conservation science

Background:

• Quantifying global biodiversity patterns is challenged by incomplete species distribution data.
• Spatial inequality in sampling hinders accurate biodiversity assessments.

Purpose of the Study:

• To generate a standardized global species diversity map for woody angiosperms.
• To identify priority areas for exploration and conservation based on corrected diversity data.

Main Methods:

• Corrected for spatial inequality in sample completeness.
• Generated a global species diversity map using occurrence records for 82,974 woody angiosperm species.
• Analyzed diversity gradients and spatial predictions based on environmental factors.

Main Results:

• Standardized diversity revealed more pronounced latitudinal and longitudinal gradients compared to raw data.
• Improved spatial prediction of diversity using environmental factors.
• Identified priority areas with high species richness and rarity in low-latitude regions (South America, Central Africa, subtropical China, Indomalayan islands).

Conclusions:

• Corrected sampling data enhances understanding of global biodiversity patterns.
• Identified areas are crucial for botanical exploration and conservation efforts.
• Findings can improve the effectiveness of protected areas for woody plant conservation.