Simon A. Levin

This study uses long-term guppy population data to show stochasticity alters population stability and resilience through noise-induced bifurcations and ecological differences.

The paper develops a spatially explicit model of in vitro viral infection with DIPs, showing how they affect IFN response and plaque morphology.

A gut consumer-resource model with explicit metabolic pathways yields competition-dominated healthy and cooperation-dominated dysbiotic states; an interaction-balance index (ENBI) detects this shift in human disease cohorts.

The paper presents a spatial model explaining conflicting exclosure experiment results on tick-borne disease risk by incorporating host-mediated tick dispersal across scales.

The paper models predator group dynamics and prey population interactions, finding that flexible group sizes lead to smaller stable groups and unexpected resource partitioning between prey types.

The paper develops a thermodynamic framework to determine the energetic boundaries of trophic systems and shows how these boundaries limit food-chain length.

This paper applies landscape-flux theory to a coral-reef model to identify early warning indicators for ecosystem transitions, finding that some indicators can predict tipping points earlier than traditional methods based on critical slowing down.

This study examines how canary songs change syntactically and acoustically during the mating season, revealing non-random trends in order and disorder across individuals.

This study develops a theoretical model showing that season length and development time can drive the emergence and coexistence of social and solitary behaviors in insects.

The paper shows that ecological systems develop in a sequenced order from fast-to slow-growing taxa due to environmental resistance minimization, supported by theoretical and empirical evidence.

The paper challenges the Redfield-Tyrrell paradigm by showing that nitrogen, phosphorus, and iron can all limit primary productivity, depending on regional supply-demand ratios.

This paper explores how complex adaptive systems frameworks improve understanding of marine ecosystems' emergent patterns, critical transitions, and cooperative behavior, and their application to ecosystem management.