Disputation: Sophie Mentzel

PhD candidate Sophie Mentzel at the Department of Biosciences will be defending the thesis "Ecological risks of pesticides under future climate and land-use scenarios: A Bayesian network approach" for the degree of PhD.

Profile picture of Sophie Mentzel

Sophie Mentzel: private.

The trial lecture is: "Putting chemicals into perspective: relative risks of pesticides versus other human stressors on ecological systems".

Time and place: February 10, 2023 11:15 AM, Zoom and Nucleus, Bikuben, The Kristine Bonnevie building.

The events will also be live streamed using Zoom. The host of the session will moderate the technicalities while the chair of the defence will moderate the events.

The events opens for participation just before they start, and closes for new participants approximately 15 minutes after it has begun.

Click here to join the events

Main research findings

In the future, pesticide transport and exposure in aquatic environments are expected to be altered by land-use and climate changes. These changes may lead to higher exposure concentrations and changes in agricultural management practices, which will vary depending on the climate region and affected processes.

Traditional risk assessment often applies deterministic approaches, using single-value estimates and assessment factors to account for uncertainty, and usually does not take into account future changes in climate and land-use.

To overcome some of these deficiencies, this PhD focused on exploring the application of Bayesian networks (BNs) to facilitate probabilistic risk assessment. The developed BNs are meta-models which use various types of information and data sources to assess exposure and effect of pesticides, such as toxicity tests, monitoring data, and process-based or case-based prediction models. The BNs predicted distributed risk quotients for two northern European case studies. For a southern European case study, the probability of an effect on various biological endpoints, endpoint groups, and communities was predicted. This research showed how BNs can be applied to cover some of the shortcomings of traditional risk assessment by better accounting and communicating uncertainty in all model compartments thereby aiding risk management decisions.

Candidate contact information 

LinkedIn

Adjudication committee

Professor Valery Forbes, Florida Atlantic University

Dr. Miriam Glendell, The James Hutton Institute

Professor Tom Andersen, University of Oslo

Chair of defence

Professor Alexander Eiler, University of Oslo

Supervisors

Dr. Jannicke Moe, Norwegian Institute for water research (NIVA)

Dr. Merete Grung, Norwegian Institute for water research (NIVA)

Dr. Knut Erik Tollefsen, Norwegian Institute for water research (NIVA)

Dr. Marianne Stenrød, Norwegian Institute of Bioeconomy Research (NIBIO)

Professor Ketil Hylland, University of Oslo

Published Jan. 27, 2023 9:55 AM - Last modified Feb. 6, 2023 1:01 PM