Drew W. Purves

TL;DR: A terrestrial assemblage database of unprecedented geographic and taxonomic coverage is analysed to quantify local biodiversity responses to land use and related changes and shows that in the worst-affected habitats, pressures reduce within-sample species richness by an average of 76.5%, total abundance by 39.5% and rarefaction-based richness by 40.3%.

TL;DR: The 100th anniversary of the British Ecological Society in 2013 is an opportune moment to reflect on the current status of ecology as a science and look forward to high-light priorities for future work.

TL;DR: In this paper, a variety of nonlinear models that are appropriate for modelling plant growth and, for each, calculate function-derived growth rates, which allow unbiased comparisons among species at a common time or size.

TL;DR: DGVVM predictions could be strengthened by integrating the ecological realities of biodiversity and height-structured competition for light, facilitated by recent advances in the mathematics of forest modeling, ecological understanding of diverse forest communities, and the availability of forest inventory data.

TL;DR: Using pan-tropical data on bird occurrence and abundance across a human land-use intensity gradient, a likelihood-based approach allowed us to quantify uncertainty in modelled responses, essential for applying the model to project future change.