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A Simplified Population-Level Landscape Model Identifying Ecological Risk Drivers of Pesticide Applications, Part One

Case Study for Large Herbivorous Mammals

Bibliographic Data

ID15469606
AuthorsDavid Tarazona (0000-0002-9273-0590, Independent Researcher, 28009 Madrid, Spain), Guillermo Tarazona (0000-0002-8724-3851, PharmaMar (Spain)), José Tarazona (0000-0003-4920-3055, European Food Safety Authority, corresponding author), Jose V Tarazona (Scientific Committee and Emerging Risks Unit, European Food Safety Authority, 43126 Parma, Italy)
Year2021
Volume18
Issue15
Pages7720-7720
Publication date2021-07-21
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph18157720
PMID34360014
OpenAlexW3183370329
LanguageEN
References cited39

Environmental risk assessment is a key process for the authorization of pesticides, and is subjected to continuous challenges and updates. Current approaches are based on standard scenarios and independent substance-crop assessments. This arrangement does not address the complexity of agricultural ecosystems with mammals feeding on different crops. This work presents a simplified model for regulatory use addressing landscape variability, co-exposure to several pesticides, and predicting the effect on population abundance. The focus is on terrestrial vertebrates and the aim is the identification of the key risk drivers impacting on mid-term population dynamics. The model is parameterized for EU assessments according to the European Food Safety Authority (EFSA) Guidance Document, but can be adapted to other regulatory schemes. The conceptual approach includes two modules: (a) the species population dynamics, and (b) the population impact of pesticide exposure. Population dynamics is modelled through daily survival and seasonal reproductions rates; which are modified in case of pesticide exposure. All variables, parameters, and functions can be modified. The model has been calibrated with ecological data for wild rabbits and brown hares and tested for two herbicides, glyphosate and bromoxynil, using validated toxicity data extracted from EFSA assessments. Results demonstrate that the information available for a regulatory assessment, according to current EU information requirements, is sufficient for predicting the impact and possible consequences at population dynamic levels. The model confirms that agroecological parameters play a key role when assessing the effect of pesticide exposure on population abundance. The integration of laboratory toxicity studies with this simplified landscape model allows for the identification of conditions leading to population vulnerability or resilience. An Annex includes a detailed assessment of the model characteristics according to the EFSA scheme on Good Modelling Practice

Agriculture · Biology · Business · Environmental health · Environmental resource management · European union · Population · Population model · Risk assessment · Animal Behavior and Welfare Studies · Animal Ecology and Behavior Studies · Computer Science · Environmental Science · Pesticide and Herbicide Environmental Studies · Ecology

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