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Philipp Neubauer
PeerJ Author & Reviewer
380 Points

Contributions by role

Author 135
Preprint Author 175
Reviewer 70

Contributions by subject area

Aquaculture, Fisheries and Fish Science
Bioinformatics
Conservation Biology
Ecology
Marine Biology
Environmental Sciences
Computational Biology
Ecosystem Science
Soil Science
Statistics

Philipp Neubauer

PeerJ Author & Reviewer

Summary

I am a researcher in fisheries ecology with Dragonfly Science in Wellington, New Zealand. Although my research interests are broad, I have a particular interest in ecological patterns and processes in populations impacted by fishing. These days, I spend much of my time developing statistical methods and technologies to advance fisheries, ecology and conservation research.

Aquaculture, Fisheries & Fish Science Biodiversity Computational Biology Ecology Environmental Sciences Marine Biology Mathematical Biology Statistics

Editorial Board Member

Work details

Fish and Fisheries Ecologist

Dragonfly Science

Fish and Fisheries Ecologist

Dragonfly Science

Websites

  • GitHub
  • Google Scholar

PeerJ Contributions

  • Articles 1
  • Preprints 3
  • Reviewed 2
April 23, 2015
Bayesian estimation of predator diet composition from fatty acids and stable isotopes
Philipp Neubauer, Olaf P. Jensen
https://doi.org/10.7717/peerj.920 PubMed 25922801
October 7, 2015 - Version: 1
Predictability of cockle (Austrovenus stutchburyi) population trends in New Zealand’s northern North Island
Philipp Neubauer, Edward R Abraham, Katrin Berkenbusch
https://doi.org/10.7287/peerj.preprints.1422v1
September 25, 2015 - Version: 2
Relationship between small-scale catch-per-unit-effort and abundance in New Zealand abalone (pāua, Haliotis iris) fisheries
Edward R Abraham, Philipp Neubauer
https://doi.org/10.7287/peerj.preprints.1388v2
July 22, 2014 - Version: 2
Bayesian estimation of predator diet composition from fatty acids and stable isotopes
Philipp Neubauer, Olaf P Jensen
https://doi.org/10.7287/peerj.preprints.413v2

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.

June 21, 2018
Analyzing mixing systems using a new generation of Bayesian tracer mixing models
Brian C. Stock, Andrew L. Jackson, Eric J. Ward, Andrew C. Parnell, Donald L. Phillips, Brice X. Semmens
https://doi.org/10.7717/peerj.5096 PubMed 29942712
October 4, 2016
Performance of maximum likelihood mixture models to estimate nursery habitat contributions to fish stocks: a case study on sea bream Sparus aurata
Edwin J. Niklitschek, Audrey M. Darnaude
https://doi.org/10.7717/peerj.2415 PubMed 27761305