{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,12]],"date-time":"2026-09-12T16:07:05Z","timestamp":1789229225125,"version":"build-2803163510"},"reference-count":42,"publisher":"Oxford University Press (OUP)","license":[{"start":{"date-parts":[[2026,8,19]],"date-time":"2026-08-19T00:00:00Z","timestamp":1787097600000},"content-version":"am","delay-in-days":1,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100004326","name":"Bayer","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100004326","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>Honey bees are important pollinators of wild and cultivated plants. They are therefore a key species in the environmental risk assessment of plant protection products in the European Union. As empirical assessments of effects on honey bees on field and landscape levels are challenging, mechanistic modeling offers a powerful complement. Such models can predict exposure and effects in the field and are thus increasingly accepted within the regulatory framework. The BEEHAVEecotox model links exposure to colony effects in a mechanistic manner. It uses standard regulatory data to derive individual-level dose\u2013response functions and includes larval mortality. However, it requires separate exposure pathways to be represented by pathway-specific dose\u2013response parameters, making parameterization challenging. We developed an alternative based on the general unified threshold model of survival (GUTS), a generic toxicokinetic\u2013toxicodynamic model. It combines exposure pathways into one effect module with one set of parameters. We present BEEHAVEecoGUTS: The integration of GUTS as an optional effect module in the modular design of BEEHAVEecotox. We found that the effect predictions of the original dose\u2013response and the GUTS module are broadly comparable in semifield tunnel scenarios, while exploratory repeated exposure scenarios revealed stronger divergences between the modules, particularly at higher application rates. The GUTS module is therefore a viable alternative with simpler and more robust compound-specific parameterization and a broader scope for further expansion. It moves from single-point estimates of toxicity and exposure to a holistic exposure\u2013effect link.<\/jats:p>","DOI":"10.1093\/etojnl\/vgag228","type":"journal-article","created":{"date-parts":[[2026,8,19]],"date-time":"2026-08-19T04:40:20Z","timestamp":1787114420000},"source":"Crossref","is-referenced-by-count":0,"title":["BEEHAVEecoGUTS\u2014A\u00a0new module for mechanistic predictions of lethal effects in honey bee colonies"],"prefix":"10.1093","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-7997-4279","authenticated-orcid":false,"given":"Dominik","family":"Lammers","sequence":"first","affiliation":[{"name":"Bayer , Monheim am Rhein,","place":["Germany"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Thomas G","family":"Preuss","sequence":"additional","affiliation":[{"name":"Bayer , Monheim am Rhein,","place":["Germany"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Volker","family":"Grimm","sequence":"additional","affiliation":[{"name":"Department of Ecological Modelling, Helmholtz Centre for Environmental Research\u2013UFZ , Leipzig,","place":["Germany"]},{"name":"Plant Ecology and Nature Conservation, University of Potsdam , Potsdam,","place":["Germany"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Vanessa","family":"Roeben","sequence":"additional","affiliation":[{"name":"Bayer , Monheim am Rhein,","place":["Germany"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2026,8,18]]},"reference":[{"key":"2026091211320762500_vgag228-B1","doi-asserted-by":"publisher","first-page":"2535","DOI":"10.1002\/etc.4547","article-title":"An evaluation of the BEEHAVE model using honey bee field study data: Insights and 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