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Vidette McGregor
PeerJ Author & Reviewer
575 Points

Contributions by role

Author 540
Reviewer 35

Contributions by subject area

Aquaculture, Fisheries and Fish Science
Ecology
Ecosystem Science
Mathematical Biology
Population Biology
Data Science
Statistics
Marine Biology

Vidette L McGregor

PeerJ Author & Reviewer

Summary

I have a background in statistics and mathematics. I'm currently working as a Fisheries and Ecosystem Modeller at NIWA, researching and applying statistical and mathematical techniques to problems related to the distribution, abundance and dynamics of marine populations. This includes single-species stock assessments, and ecosystem modelling.

Climate Change Biology Data Science Ecology Ecosystem Science Mathematical Biology Population Biology Statistics

Past or current institution affiliations

Victoria University of Wellington

Work details

Fisheries and ecosystem modeller

National Institute of Water and Atmospheric Research Ltd
August 2012
Fisheries

PeerJ Contributions

  • Articles 4
  • Reviewed 1
July 19, 2021
From data compilation to model validation: comparing three ecosystem models of the Tasman and Golden Bays, New Zealand
Vidette L. McGregor, Peter Horn, Adele Dutilloy, Samik Datta, Alice Rogers, Javier Porobic, Alistair Dunn, Ian Tuck
https://doi.org/10.7717/peerj.11712 PubMed 34540360
June 3, 2020
Addressing initialisation uncertainty for end-to-end ecosystem models: application to the Chatham Rise Atlantis model
Vidette L. McGregor, Elizabeth A. Fulton, Matthew R. Dunn
https://doi.org/10.7717/peerj.9254 PubMed 32551197
July 24, 2019
Spawning stock recruitment creates misleading dynamics under predation release in ecosystem and multi-species models
Vidette L. McGregor, Elizabeth A. Fulton, Matthew R. Dunn
https://doi.org/10.7717/peerj.7308 PubMed 31372318
February 22, 2019
From data compilation to model validation: a comprehensive analysis of a full deep-sea ecosystem model of the Chatham Rise
Vidette L. McGregor, Peter L. Horn, Elizabeth A. Fulton, Matthew R. Dunn
https://doi.org/10.7717/peerj.6517

Signed reviews submitted for articles published in PeerJ Note that some articles may not have the review itself made public unless authors have made them open as well.

November 8, 2022
Regularizing priors for Bayesian VAR applications to large ecological datasets
Eric J. Ward, Kristin Marshall, Mark D. Scheuerell
https://doi.org/10.7717/peerj.14332 PubMed 36389409