Tag Archives: modelling

Current-use pesticides in vegetation, topsoil and water reveal contaminated landscapes of the Upper Rhine Valley, Germany

Landau, 12.03.2025 – A new study by the RPTU Kaiserslautern-Landau, published in Communications Earth & Environment, shows extensive pesticide contamination in the landscape of the Upper Rhine Region. Pesticides disperse across the entire landscape, contaminating soil, vegetation, and water far beyond agricultural zones. The findings shed new light on the potential environmental impacts of conventional agriculture. According to the researchers, pesticide use must be reduced urgently in order to protect non-target areas around fields, orchards and vineyards.

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Highlights of 2023 (Part 2)

In this second and final installment of the ‘Highlights of 2023’ series, we give our readers a glance of another 3 most visited posts in this year. 

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Bio-QSARs: the inclusion of physiological trait information in machine learning QSARs allows predictions across species

In this blogpost, Jochen Zubrod talks about developing an innovative machine learning approach for ecotoxicity predictions. These cutting-edge models show impressive predictive power for acute pesticide toxicity in freshwater organisms, holding promise for applications in environmental risk assessment and pesticide research and development.

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Avenues for future research to predict the effects of chemicals

Predicting effects of chemicals in ecosystems is complex due to many factors that influence the action of chemicals. Moreover, understanding chemical effects in ecosystems requires the integration of multiple levels of biological organisation such as cells, organs, organisms, whole populations, communities or ecosystems, which is rarely done. In this blogpost, Anke Schneeweiss and her research team provide a framework for how to integrate these levels by delineating connections between different ecotoxicological perspectives.

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Year in Review – Part 3

In the third installment of the ‘Year in Review’ series, we present our readers a glimpse of the last lot of most visited posts in the year 2021. 

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A mini-review of process-based food web models and their application in aquatic-terrestrial meta-ecosystems

In this post, Stephen Osakpolor talks about his review of process-based food web models for both aquatic and terrestrial ecosystem. These models are essential for understanding how stressors affect the interconnected environments.

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PhD position in Aquatic Ecology and Ecotoxicology at University of Valencia

The Cavanilles Institute of Biodiversity of Evolutionary Ecology at the University of Valencia (Spain) is offering a PhD position to study the resilience of aquatic populations and communities to chemical and environmental stressors in Mediterranean coastal wetlands.

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