1. Building and applying quantitative adverse outcome pathway models for chemical hazard and risk assessmentEdward J. Perkins, Roman Ashauer, Lyle Burgoon, Rory Conolly, Brigitte Landesmann, Cameron Mackay, Cheryl A. Murphy, Nathan Pollesch, James R. Wheeler, Anže Županič, Stefan Scholz, 2019, review article Abstract: An important goal in toxicology is the development of new ways to increase the speed, accuracy, and applicability of chemical hazard and risk assessment approaches. A promising route is the integration of in vitro assays with biological pathway information. We examined how the adverse outcome pathway (AOP) framework can be used to develop pathway-based quantitative models useful for regulatory chemical safety assessment. By using AOPs as initial conceptual models and the AOP knowledge base as a source of data on key event relationships, different methods can be applied to develop computational quantitative AOP models (qAOPs) relevant for decision making. A qAOP model may not necessarily have the same structure as the AOP it is based on. Useful AOP modeling methods range from statistical, Bayesian networks, regression, and ordinary differential equations to individual-based models and should be chosen according to the questions being asked and the data available. We discuss the need for toxicokinetic models to provide linkages between exposure and qAOPs, to extrapolate from in vitro to in vivo, and to extrapolate across species. Finally, we identify best practices for modeling and model building and the necessity for transparent and comprehensive documentation to gain confidence in the use of qAOP models and ultimately their use in regulatory applications. Environ Toxicol Chem 2019;38:1850–1865. © 2019 The Authors. Environmental Toxicology and Chemistry published by Wiley Periodicals, Inc. on behalf of SETAC. Keywords: Quantitative Adverse Outcome pathways, TKTD modelling, alternatives to animal testing, predictive toxicology, species extrapolation, prioritization of chemicals Published in DiRROS: 06.08.2024; Views: 69; Downloads: 66
Full text (1,11 MB) This document has many files! More... |
2. Comparing environmental impacts of alien plants, insects and pathogens in protected riparian forestsKatharina Lapin, Sven Bacher, Thomas L. Cech, Rok Damjanić, Franz Essl, Freya-Isabel Georges, Gernot Hoch, Andreja Kavčič, András Koltay, Saša Kostić, Ivan Lukić, Aleksander Marinšek, Laszlo Nagy, Sonja Novak Agbaba, Janine Oettel, Saša Orlović, Leopold Poljaković-Pajnik, Marcus Sallmannshofer, Martin Steinkellner, Srdjan Stojnić, Marjana Westergren, Milica Zlatković, Anita Zolles, Maarten De Groot, 2021, original scientific article Abstract: The prioritization of alien species according to the magnitude of their environmental impacts has become increasingly important for the management of invasive alien species. In this study, we applied the Environmental Impact Classification of Alien Taxa (EICAT) to classify alien taxa from three different taxonomic groups to facilitate the prioritisation of management actions for the threatened riparian forests of the Mura-Drava-Danube Biosphere Reserve, South East Europe. With local experts we collated a list of 198 alien species (115 plants, 45 insects, and 38 fungi) with populations reported in southeast European forest ecosystems and included them in the EICAT. We found impact reports for 114 species. Eleven of these species caused local extinctions of a native species, 35 led to a population decrease, 51 to a reduction in performance in at least one native species and for 17 alien species no effects on individual fitness of native species were detected. Fungi had significantly highest impact and were more likely to have information on their impacts reported. Competition and parasitism were the most important impact mechanisms of alien species. This study is, to our knowledge, the first application of EICAT to all known alien species of several taxonomic groups in a protected area. The impact rankings enabled to identify taxa that generally cause high impacts and to prioritize species for the management in protected areas according to their impact magnitudes. By following a standardized impact protocol, we identified several alien species causing high impacts that do not appear on any expert-based risk list, which are relevant for policymakers. Thus, we recommend that alien species be systematically screened to identify knowledge gaps and prioritize their management with respect to spatio-temporal trends in impact magnitudes. Keywords: alien species, biological invasions, EICAT, invasive species management, protected areas, species prioritization Published in DiRROS: 29.10.2021; Views: 1054; Downloads: 784
Full text (1,13 MB) This document has many files! More... |
3. Concept and tool for cultural asset evaluation : deliverable D.T1.2.1 Activity A.T1.2. Set up of methodology for the evaluation of cultural assets and prioritization of securing & salvaging interventions : conceptual document on evAluaTion Tool for Alpine Cultural Heritage (ATTACH) design and technical annexes for its testing : version 1.0Anže Japelj, 2019, treatise, preliminary study, study Keywords: national exchange events, natural disasters, local cultural heritage, stakeholders asset's value, prioritization, assessing vulnerability Published in DiRROS: 19.03.2020; Views: 2000; Downloads: 233
Full text (342,64 KB) |
4. Consistency of impact assessment protocols for non-native speciesPablo González-Moreno, Lorenzo Lazzaro, Montserrat Vila, Cristina Preda, Tim Adriaens, Sven Bacher, Giuseppe Brundu, Gordon H. Copp, Franz Essl, Nikica Ogris, 2019, original scientific article Abstract: Standardized tools are needed to identify and prioritize the most harmful non-native species (NNS). A plethora of assessment protocols have been developed to evaluate the current and potential impacts of non-native species, but consistency among them has received limited attention. To estimate the consistency across impact assessment protocols, 89 specialists in biological invasions used 11 protocols to screen 57 NNS (2614 assessments). We tested if the consistency in the impact scoring across assessors, quantified as the coefficient of variation (CV), was dependent on the characteristics of the protocol, the taxonomic group and the expertise of the assessor. Mean CV across assessors was 40%, with a maximum of 223%. CV was lower for protocols with a low number of score levels, which demanded high levels of expertise, and when the assessors had greater expertise on the assessed species. The similarity among protocols with respect to the final scores was higher when the protocols considered the same impact types. We conclude that all protocols led to considerable inconsistency among assessors. In order to improve consistency, we highlight the importance of selecting assessors with high expertise, providing clear guidelines and adequate training but also deriving final decisions collaboratively by consensus. Keywords: environmental impact, expert judgement, invasive alien species policy, management prioritization, risk assessment, socio-economic impact Published in DiRROS: 03.04.2019; Views: 2436; Downloads: 1141
Full text (1,55 MB) This document has many files! More... |