F. Pennekamp

Food web context modifies predator foraging and weakens trophic interaction strength

The paper experiments with ciliate communities to show that modifier species affect predator-prey interactions, altering trophic interaction strength and dynamics.

Response diversity in the context of multifarious environmental change

This paper introduces a method to quantify response diversity in multifarious environmental change scenarios, showing how it depends on species response diversity, environmental variable effects, correlations, and temporal values.

Connecting higher order interactions with ecological stability in experimental aquatic food webs

The paper examines how higher order interactions affect community stability in aquatic protist communities by analyzing persistence and interaction strength across different community compositions.

Contrasting resistance and resilience to light variation of the coupled oxic and anoxic componentsof an experimental microbial ecosystem

This study examines how light deprivation affects oxygen dynamics and microbial diversity in oxic and anoxic layers of a microbial ecosystem, finding differential resilience in community function and structure.

One experiment to rule them all? Testing multiple drivers of the temperature-size rule with nonlinear temperature increase

This study tests three hypotheses for the temperature-size rule using an aquatic protist under varying temperature and nutrient conditions, finding support for the supply-demand hypothesis and suggesting multiple causal factors.

Warming can destabilise predator-prey interactions by shifting the functional response from Type III to Type II

This study shows that warming shifts predator-prey functional responses from Type III to Type II, increasing conversion efficiency and destabilizing the system, leading to higher prey extinction risk.

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.

Dynamic species classification of microorganisms across time, abiotic and biotic environments - a sliding window approach

This paper introduces a sliding window approach for classifying microorganisms under dynamic environmental conditions, showing it outperforms simplistic methods and matches manual classification accuracy.