Estimating terrestrial biodiversity through extrapolation

Area of Science:

• Ecology
• Biodiversity Science
• Conservation Biology

Background:

• Assessing global biodiversity is a critical and urgent task.
• Hyperdiverse terrestrial organisms (arthropods, nematodes, fungi, microorganisms) present significant inventory challenges.
• Existing methods for biodiversity assessment require refinement for accuracy and efficiency.

Purpose of the Study:

• To present and evaluate methods for estimating local species richness from samples.
• To introduce a measure for assessing the complementarity of species assemblages.
• To discuss the utility of reference sites for calibrating biodiversity assessment protocols.

Main Methods:

• Extrapolation of species accumulation curves.
• Fitting parametric distributions of relative abundance.
• Application of non-parametric techniques based on species/individual distribution.
• Development of a simple measure for species assemblage complementarity.

Main Results:

• Demonstrated effectiveness of various estimation techniques on an example dataset.
• Presented a measure for complementarity with biogeographic examples.
• Highlighted the challenges in estimating complementarity from limited samples.

Conclusions:

• Effective sampling and estimation are crucial for accurate biodiversity assessment.
• Reference sites are vital for calibrating standardized sampling methods.
• These methods enable rapid, approximate assessments of species richness and composition.