Author

H. Labach

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· 3

Signature Assays, Organisms & Methods

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Research Focus:ecology & biodiversity· 3 Organism:bacteria (other)· 2 Assay:imaging· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Approach:experimental assay· 1 Assay:spatial transcriptomics· 1

Frequent Co-Authors

O. Gimenez· 3 shared V. Lauret· 2 shared B. Daniel· 1 shared B. Guichard· 1 shared C. Azzinari· 1 shared C. Cesarini· 1 shared D. Turek· 1 shared F. Dhermain· 1 shared

Activity by Year

2019-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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3 shared papersEcology

O. Gimenez

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Integrated spatial models foster complementarity between monitoring programs in producing large-scale bottlenose dolphin indicators

V. Lauret, H. Labach, D. Turek, S. Laran, O. Gimenez

This paper demonstrates how integrated spatial models improve ecological inference for bottlenose dolphins by combining multiple data sources to estimate population abundance and density.

bioRxiv · Feb 1, 2021 · PreprintEcology

Using single visits into integrated occupancy models to make the most of existing monitoring programs

V. Lauret, H. Labach, M. Authier, O. Gimenez

The paper integrates single-visit occupancy models with multiple datasets to improve species distribution estimation, showing comparable results to repeated-visit models.

bioRxiv · Jan 18, 2021Ecology

Distribution and abundance of bottlenose dolphin (Tursiops truncatus) over the French Mediterranean continental shelf

H. Labach, C. Azzinari, M. Barbier, C. Cesarini, B. Daniel, L. David, F. Dhermain, N. Di-Meglio, B. Guichard, J. Jourdan, N. Robert, M. Roul, N. Tomasi, O. Gimenez

The paper estimates the size of the bottlenose dolphin population in French Mediterranean waters using photo-identification and capture-recapture methods, finding 557 individuals.

bioRxiv · Aug 2, 2019 · PreprintEcology