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Towards deep learning powered monitoring of biodiversity in rewilding projects

PhD defence, Tuesday June 30. 2020. Oskar Liset Pryds Hansen.

2020.06.30 | Sunitha Satkunam

Oskar Liset Pryds Hansen

Deep learning, an artificial neural network also known as artificial intelligence, is potentially an excellent tool for extracting ecological and biodiversity data from information rich sources like images. During his PhD studies, Oskar Liset Pryds Hansen investigated methods to extract ecological data from images together with an interdisciplinary team. Together with a team of ecologists, he implemented the rewilding strategy and monitoring program in Rewilding Mols.

His finding suggests that deep learning can classify images of insects on species level and detect individual arthropods on camera trap images. Based on arthropod sampling he analyzed if arthropod abundance respond to local densities of large herbivores. In his PhD thesis, he also provide an evaluation of the rewilding progress at Rewilding Mols.

The PhD study was completed at Center for Biodiversity Dynamics in a Changing World (BIOCHANGE), Department of Biology, Faculty of Natural Sciences, Aarhus University and Natural History Museum Aarhus.

This summary was prepared by the PhD student.

Time: Tuesday June 30 2020 at 15:00
Place: The PhD defence will be held online. To receive a link to the event, please send an e-mail to Dennis Pedersen dp@bios.au.dk or Signe Normand signe.normand@bios.au.dk.
Title of PhD thesis: Consequences of Trophic Rewilding for Arthropods
Contact information: Oskar Liset Pryds Hansen, e-mail: oli@bios.au.dk, tel.: +45 6166 1848
Members of the assessment committee:
Professor Stefan Kremer, School of Computer Science, University of Guelph, Canada
Associate Professor Chris Smit, Groningen Institute for Evolutionary Life Sciences (GELIFES), University of Groningen, Netherlands
Professor Signe Normand, Department of Biology, Aarhus University (chair)
Main supervisor: 
Professor Jens-Christian Svenning, Department of Biology, Aarhus University, Denmark
Co-supervisors:
Senior Researcher Toke T. Høye, Department of Bioscience, Aarhus University, Denmark
Head of Research Kent Olsen, Natural History Museum Aarhus, Denmark
Language: The PhD dissertation will be defended in English

The defence is public.

Due to the coronavirus situation, Aarhus University is physically closed. Therefore, the PhD thesis will not be available for reading at the offices of the PhD administration. Instead, interested parties may send an e-mail to gradschool.nat@au.dk, and receive a digital copy of the PhD thesis. Please note, it may in certain cases be necessary to make an individual arrangement to read the PhD thesis.

PhD defence
16882 / i43