Author

P. Zu

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· 2 Biochemistry· 1 Evolutionary Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 4 Research Focus:ecology & biodiversity· 2 Assay:metabolomics· 2 Organism:plant (other)· 2 Organism:Arabidopsis· 1 Research Focus:benchmarking· 1 Research Focus:cell-cell communication· 1 Research Focus:host-pathogen & immune response· 1

Frequent Co-Authors

S. Saavedra· 2 shared C. Melian· 1 shared C. Phillips· 1 shared D. Gervasi· 1 shared D. I. Farman· 1 shared D. Runcie· 1 shared E. Moore· 1 shared F. Guillaume· 1 shared

Activity by Year

2020-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 13 mutual co-author links

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2 shared papersEcology

S. Saavedra

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Towards a system-level causative knowledge of pollinator communities

S. Saavedra, I. Bartomeus, O. Godoy, R. P. Rohr, P. Zu

This paper proposes a probabilistic causal analysis approach to improve system-level understanding of pollinator communities by integrating observational and synthetic data.

Philosophical Transactions of the Royal Society B · May 2, 2022Peer-reviewedEcology

Plant-insect chemical communication in ecological communities: an information theory perspective

P. Zu, R. Garcia-Garcia, M. Schuman, S. Saavedra, C. Melian

The paper introduces an information theory framework to study plant-insect chemical communication at the community level, aiming to understand ecological network dynamics under global changes.

bioRxiv · Sep 30, 2021Ecology

Pollen sterols are associated with phylogenetics and environment but not with pollinators

P. Zu, H. Koch, O. Schwery, S. Pironon, C. Phillips, I. Ondo, I. Farrell, W. D. Nes, E. Moore, G. Wright, D. I. Farman, P. C. Stevenson

This study quantifies pollen phytosterols across 122 plant species and finds phylogenetic clustering and environmental adaptation but no link to pollinator guilds.

bioRxiv · Dec 18, 2020Biochemistry

Floral signals evolve in a predictable way under artificial and pollinator selection in Brassica rapa using a G-matrix

P. Zu, F. P. Schiestl, D. Gervasi, X. Li, D. Runcie, F. Guillaume

The paper predicts evolutionary changes in floral traits of Brassica rapa under artificial and pollinator selection using a G-matrix, showing predictable responses and genetic covariance effects.

bioRxiv · Feb 4, 2020Evolutionary Biology