U. Gaedke

Functional diversity increases the resistance of a tritrophic food web to environmental changes

This study shows that higher functional diversity in a tritrophic food web increases resistance to environmental changes by buffering trophic cascades and delaying oscillatory behavior.

Functional diversity alters the effects of a pulse perturbation on the dynamics of tritrophic food webs

This study shows that higher functional diversity in tritrophic food webs increases resistance, resilience, and elasticity to nutrient pulses, reducing the risk of regime shifts.

Top predators govern multitrophic diversity effects in tritrophic food webs

The paper uses a Random Forest model to analyze 128,000 parameter combinations in tritrophic food webs, finding that top predator diversity and food web parameters significantly influence biomass and temporal variability across all trophic levels.

Nutrient retention by predators undermines predator coexistence on one prey

This study shows that predator coexistence on a single prey is hindered when prey and predators compete for a limiting resource, challenging traditional assumptions in predator-prey models.

Estimating parameters from multiple time series of population dynamics using Bayesian inference

This paper estimates model parameters and their variability from experimental time series data using Bayesian inference and dynamical population models, showing that cyclic dynamics provide more precise parameter estimates than steady states.

The shape of a defense-growth trade-off governs seasonal trait dynamics in natural phytoplankton

The paper shows how the shape of a defense-growth trade-off influences seasonal trait dynamics in phytoplankton using long-term field data from Lake Constance.

Functional diversity in a tritrophic system: Effects on biomass production, variability, and resilience of ecosystem functions

This study shows that trait variation in a tritrophic system enhances resource use efficiency, production, variability, and resilience of food webs.

The intrinsic predictability of ecological time series and its potential to guide forecasting

The paper quantifies intrinsic predictability of ecological time series using permutation entropy and shows its relationship with model forecasting error.

One man’s trash is another man’s treasure - the effect of bacteria on phytoplankton-zooplankton interactions in chemostat systems

This study shows that bacteria can significantly affect phytoplankton-zooplankton interactions in chemostat experiments under certain conditions, depending on experimental setup and predator traits.