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Ms

Luz Pascal

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Overview

Availability

Ms Luz Pascal is:
Available for supervision

Qualifications

  • Masters (Research) of Applied Mathematics, Institut Polytechnique de Paris

Works

Search Professor Luz Pascal’s works on UQ eSpace

4 works between 2020 and 2025

1 - 4 of 4 works

2025

Journal Article

Developing new technologies to protect ecosystems: planning with adaptive management

Pascal, Luz Valerie, Chadès, Iadine, Adams, Matthew P. and Helmstedt, Kate J. (2025). Developing new technologies to protect ecosystems: planning with adaptive management. Proceedings of the National Academy of Sciences, 122 (39) e2422002122, 1-10. doi: 10.1073/pnas.2422002122

Developing new technologies to protect ecosystems: planning with adaptive management

2025

Journal Article

EEMtoolbox: A user-friendly R package for flexible ensemble ecosystem modelling

Pascal, Luz Valerie, Vollert, Sarah A., Bimler, Malyon D., Baker, Christopher M., Vernet, Maude, Canessa, Stefano, Drovandi, Christopher and Adams, Matthew P. (2025). EEMtoolbox: A user-friendly R package for flexible ensemble ecosystem modelling. Methods in Ecology and Evolution, 16 (5), 921-929. doi: 10.1111/2041-210X.70032

EEMtoolbox: A user-friendly R package for flexible ensemble ecosystem modelling

2021

Journal Article

A primer on partially observable Markov decision processes (POMDPs)

Chadès, Iadine, Pascal, Luz V., Nicol, Sam, Fletcher, Cameron S. and Ferrer‐Mestres, Jonathan (2021). A primer on partially observable Markov decision processes (POMDPs). Methods in Ecology and Evolution, 12 (11), 2058-2072. doi: 10.1111/2041-210x.13692

A primer on partially observable Markov decision processes (POMDPs)

2020

Journal Article

A Shiny <scp>r</scp> app to solve the problem of when to stop managing or surveying species under imperfect detection

Pascal, Luz, Memarzadeh, Milad, Boettiger, Carl, Lloyd, Hannah and Chadès, Iadine (2020). A Shiny r app to solve the problem of when to stop managing or surveying species under imperfect detection. Methods in Ecology and Evolution, 11 (12), 1707-1715. doi: 10.1111/2041-210x.13501

A Shiny <scp>r</scp> app to solve the problem of when to stop managing or surveying species under imperfect detection

Supervision

Availability

Ms Luz Pascal is:
Available for supervision

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Media

Enquiries

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communications@uq.edu.au