An example of population‐level risk assessments for small mammals using individual‐based population models. (3rd June 2015)

• Record Type: Journal Article
• Authors: Schmitt, Walter; Auteri, Domenica; Bastiansen, Finn; Ebeling, Markus; Liu, Chun; Luttik, Robert; Mastitsky, Sergey; Nacci, Diane; Topping, Chris; Wang, Magnus
• Is Part Of: Integrated environmental assessment and management. Volume 12:Number 1(2016:Jan.)
• Page Start: 46
• Page End: 57
• Publication Date: 2015-06-03
• Subjects: Individual‐based model -- Pesticide risk assessment -- Population model -- Small mammals; Environmental management -- Periodicals; Pollution -- Periodicals; Environmental toxicology -- Periodicals; Environmental risk assessment -- Periodicals; Environmental impact analysis -- Periodicals; 628
• DOI: 10.1002/ieam.1640
• Languages: English
• ISSNs: 1551-3777

Abstract

ABSTRACT: This article presents a case study demonstrating the application of 3 individual‐based, spatially explicit population models (IBMs, also known as agent‐based models) in ecological risk assessments to predict long‐term effects of a pesticide to populations of small mammals. The 3 IBMs each used a hypothetical fungicide (FungicideX) in different scenarios: spraying in cereals (common vole, Microtus arvalis ), spraying in orchards (field vole, Microtus agrestis ), and cereal seed treatment (wood mouse, Apodemus sylvaticus ). Each scenario used existing model landscapes, which differed greatly in size and structural complexity. The toxicological profile of FungicideX was defined so that the deterministic long‐term first tier risk assessment would result in high risk to small mammals, thus providing the opportunity to use the IBMs for risk assessment refinement (i.e., higher tier risk assessment). Despite differing internal model design and scenarios, results indicated in all 3 cases low population sensitivity unless FungicideX was applied at very high (×10) rates. Recovery from local population impacts was generally fast. Only when patch extinctions occured in simulations of intentionally high acute toxic effects, recovery periods, then determined by recolonization, were of any concern. Conclusions include recommendations for the most important input considerations, including the selection of exposure levels, duration of simulations, statistically robust number of replicates, and endpoints to report. However, further investigation and agreement are needed to develop recommendations for landscape attributes such as size, structure, and crop rotation to define appropriate regulatory risk assessment scenarios. Overall, the application of IBMs provides multiple advantages to higher tier ecological risk assessments for small mammals, including consistent and transparent direct links to specific protection goals, and the consideration of more realistic scenarios. Integr Environ Assess Manag 2016;12:46–57. © 2015 SETAC Key Points: The applicability of spatially explicit, individual‐based population models for small mammal risk assessments for plant protection products was demonstrated. Recommendations were developed for how to use the models for risk assessments and how to evaluate the simulation results. Results of example risk assessments indicated that even with conservative settings the modelling approach will lead to risk refinements, compared to standard risk assessments.