S. Mentzel

A Bayesian network approach to assess the influence of climate change and pesticide use practices on the ecological risks of pesticides in a protected Mediterranean wetland

This study uses a Bayesian network to assess how climate change and pesticide use practices affect ecological risks in a Mediterranean wetland, finding that future climate conditions and reduced pesticide use can lower risks.

Using a Bayesian network model to predict effects of pesticides on aquatic community endpoints in a rice field - A southern European case study

This study uses a Bayesian network model to predict pesticide effects on aquatic ecosystems in rice fields, finding azoxystrobin and MCPA pose higher community risk than acetamiprid.

Probabilistic risk assessment of pesticides under future agricultural and climate scenarios using Bayesian network

This paper uses Bayesian networks to assess pesticide risk under future climate and agricultural scenarios, finding that increased pesticide use, not climate variables, drives higher risk.

Development of a Bayesian network for probabilistic risk assessment of pesticides

This paper develops a Bayesian network for probabilistic risk assessment of pesticides, demonstrating its application to azoxystrobin, metribuzin, and imidacloprid.