B. McGill

Disentangling non-random structure from random placement when estimating β-diversity through space or time

This paper introduces a framework to quantify non-random contributions to beta-diversity using rarefaction curves and a coverage-standardized metric, applied to avian species composition in engineered and natural riparian areas.

Local changes dominate variation in biotic homogenization and differentiation

The paper analyzes long-term biodiversity data to show that local diversity changes drive biotic homogenization and differentiation, with homogenization more common at larger spatial and temporal scales.

Local biodiversity change reflects interactions among changing abundance, evenness and richness

The paper examines how changes in species abundance, evenness, and richness interact in local biodiversity, finding that richness changes are influenced by coordinated shifts in abundance and evenness, with stronger temporal correlations than spatial ones.

Biodiversity trends are stronger in marine than terrestrial assemblages

The paper analyzes biodiversity trends across 50,000 time-series, finding stronger compositional change and species turnover in marine assemblages compared to terrestrial ones.

Embracing scale-dependence to achieve a deeper understanding of biodiversity and its change across communities

This paper investigates how biodiversity changes across spatial scales and introduces methods to better quantify these changes using rarefaction curves and case studies.

MoB (Measurement of Biodiversity): a method to separate the scale-dependent effects of species abundance distribution, density, and aggregation on diversity change

The paper introduces MoB, a method to decompose changes in species richness into components of abundance distribution, density, and spatial arrangement, and applies it to plant species data in invaded and uninvaded woodlands.