Author

O. Petchey

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Ecology· 4 Microbiology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:benchmarking· 2 Research Focus:ecology & biodiversity· 2 Approach:experimental assay· 1 Research Focus:host-pathogen & immune response· 1 Assay:metagenomics· 1 Approach:simulation· 1

Frequent Co-Authors

F. Pennekamp· 3 shared U. Daugaard· 2 shared A. Iles· 1 shared A. Tabi· 1 shared B. Matthews· 1 shared B. Rall· 1 shared B. Rosenbaum· 1 shared C. Ward· 1 shared

Activity by Year

2018-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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3 shared papersEcology

F. Pennekamp

Mutual co-authors in cluster

Author profile →

5 papers

Recent·Most cited

Response diversity in the context of multifarious environmental change

F. Polazzo, R. Limberger, F. Pennekamp, S. R. P.-J. Ross, G. L. Simpson, O. Petchey

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.

bioRxiv · Dec 13, 2023 · PreprintEcology

Microxanox: an R package for simulating an aquatic MICRobial ecosystem that can occupy OXic or ANOXic states

R. M. Krug, O. Petchey

Microxanox simulates an aquatic microbial ecosystem with three functional groups and four substrates using ODEs, allowing for parameter sweeps and stable state analysis.

bioRxiv · Feb 6, 2023 · PreprintEcology

Predicting the effects of multiple global change drivers onmicrobial communities remains challenging

M. Suleiman, U. Daugaard, Y. Choffat, X. Zheng, O. Petchey

This study investigates how multiple global change drivers affect microbial communities in aquatic microcosms, finding that combined effects vary with temperature and driver number but not ecological organization level.

bioRxiv · Dec 13, 2021Microbiology

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

U. Daugaard, O. Petchey, F. Pennekamp

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.

bioRxiv · Apr 2, 2019Ecology

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

F. Pennekamp, A. Iles, J. Garland, G. Brennan, U. Brose, U. Gaedke, U. Jacob, P. Kratina, B. Matthews, S. Munch, M. Novak, G. M. Palamara, B. Rall, B. Rosenbaum, A. Tabi, , O. Petchey

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

bioRxiv · Jun 19, 2018Ecology