Author

Y. Bourhis

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 Plant Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Approach:deep learning· 1 Research Focus:ecology & biodiversity· 1 Research Focus:host-pathogen & immune response· 1 Assay:metagenomics· 1 Organism:plant (other)· 1 Research Focus:spatial domain detection· 1

Frequent Co-Authors

F. van den Bosch· 3 shared S. Parnell· 2 shared A. E. Milne· 1 shared A. J. Mastin· 1 shared J. R. Bell· 1 shared K. Hassall· 1 shared N. McRoberts· 1 shared

Activity by Year

2020-2022 · peak 2/yr

Co-Author Collaboration Network

7 top collaborators · 11 mutual co-author links

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3 shared papersEcology

F. van den Bosch

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Author profile →

3 papers

Recent·Most cited

The value of volunteer surveillance for the early detection of biological invaders.

F. van den Bosch, N. McRoberts, Y. Bourhis, S. Parnell, K. Hassall

The paper evaluates whether verifying volunteer-reported biological invader sightings is cost-effective, showing conditions under which volunteer surveillance outperforms expert-only monitoring.

bioRxiv · Jun 24, 2022Ecology

Out of sight: Surveillance strategies for emerging vectored plant pathogens.

A. J. Mastin, F. van den Bosch, Y. Bourhis, S. Parnell

The paper evaluates the effectiveness of visual surveillance and molecular testing for detecting Xylella fastidiosa ST53 in olive hosts and insect vectors.

bioRxiv · Jan 21, 2022 · PreprintPlant Biology

Artificial neural network for monitoring network optimisation--a practical example using a national insect survey

Y. Bourhis, A. E. Milne, J. R. Bell, F. van den Bosch

The paper trains an artificial neural network to predict aphid arrival from environmental data and identifies optimal sensor locations to improve monitoring networks.

bioRxiv · May 14, 2020Ecology