Author

A. Tabi

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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Research Focus:ecology & biodiversity· 3 Approach:statistical model· 3 Approach:experimental assay· 1

Frequent Co-Authors

F. Pennekamp· 2 shared A. Garnier· 1 shared A. Iles· 1 shared B. Matthews· 1 shared B. Rall· 1 shared B. Rosenbaum· 1 shared C. Ward· 1 shared G. Brennan· 1 shared

Activity by Year

2018-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersEcology

F. Pennekamp

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4 papers

Recent·Most cited

Species interactions drive continuous assembly of freshwater communities in stochastic environments

A. Tabi, T. Siqueira, J. D. Tonkin

The paper shows that species interactions, not environmental noise, drive continuous community assembly in freshwater ecosystems over time.

bioRxiv · Dec 21, 2023Ecology

Protection promotes energetically efficient structures in marine communities

A. Tabi, L. J. Gilarranz, S. A. Wood, J. A. Dunne, S. Saavedra

This study shows that full marine protection leads to more top-heavy, energetically efficient marine communities through theoretical and empirical analysis.

bioRxiv · Jun 2, 2022Ecology

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

A. Tabi, A. Garnier, F. Pennekamp

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.

bioRxiv · Mar 16, 2020 · PreprintEcology

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