Andrew P. Beckerman

This study finds no consistent decline in vertebrate abundance or stability with distance from range or climate niche centres, challenging assumptions in ecological models.

This study shows that high temporal resolution reveals abrupt ecological changes and shifts in extinction selectivity during the Permian-Triassic mass extinction, which coarse resolution obscures.

The paper shows that adaptation to free-living conditions in algal endosymbionts leads to loss of host benefits, driven by metabolic trade-offs, with nitrogen availability as a key factor.

This study reconstructs marine food webs across the Permian-Triassic Mass Extinction to show that trophic collapse was not global and was influenced by environmental factors and species traits.

This study shows that endosymbiotic algae evolve traits specialized for intracellular niches, reducing their fitness in extracellular environments, thereby stabilizing endosymbiosis through evolutionary entrapment.

This study shows response diversity drives community stability in food webs, with food web structure playing a secondary role.

This study shows reintroductions can destabilize food webs and trigger extinction cascades, often undetected because success is measured only by reintroduced species survival.

This study uses metabolomic profiling to analyze glyphosate resistance evolution in Chlamydomonas reinhardtii, revealing metabolic changes and fitness trade-offs associated with resistance.

The paper analyzes biodiversity and food web time series from riverine fish communities to show how biodiversity loss affects food web structure and redundancy.

The paper introduces a Julia package for simulating temporal dynamics of ecological networks with diverse interaction types and environmental drivers.

This study investigates whether glyphosate resistance in green algae incurs a trade-off with anti-grazer defense, finding context-dependent extrinsic costs.

This study evaluates glyphosate resistance evolution in Chlamydomonas reinhardtii under lethal and sublethal doses, finding resistance from standing genetic variation but limited fitness cost trade-offs.

This paper introduces PFIM, a model that reconstructs ancient food webs using functional trait data, showing it can predict ~70% of trophic interactions in modern systems and ~90% when enforcing interaction distributions.

This paper develops a workflow to design synthetic bacterial consortia for landfill leachate treatment by analyzing growth interactions using factorial experiments and regression tree analysis.