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How does the Emerald Ash Borer (Agrilus planipennis) affect ecosystem services and biodiversity components in invaded areas?

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105893614X
Zugehörigkeit
Julius Kühn-Institute (JKI), Institute for National and International Plant Health, Germany
Schrader, Gritta;
Zugehörigkeit
Formerly: Plant Health Risk and Horizon Scanning Team, Defra, National Agri-food Innovation Campus, York, United Kingdom
Baker, R.;
Zugehörigkeit
V.N. Sukachev Institute of Forest FRC KSC Siberian Branch, Russian Academy of Sciences, 50/28 Akademgorodok, Krasnoyarsk, Russian Federation
Baranchikov, Y.;
Zugehörigkeit
Formerly Plant Health Risk Assesssment Unit, Science Division, Canadian Food Inspection Agency (CFIA), 59 Camelot Drive Ottawa, Ontario, Canada
Dumouchel, L.;
Zugehörigkeit
USDA Forest Service Northern Research Station, 359 Main Rd., Delaware, United States
Knight, K.S.;
Zugehörigkeit
Department of Entomology and Department of Forestry, Michigan State University, East Lansing, United States
McCullough, D.G.;
Zugehörigkeit
A.N. Severtsov Institute of Ecology and Evolution, Russian Academy of Sciences, 33 Leninskij prosp., Moscow, Russian Federation
Orlova-Bienkowskaja, M.J.;
Zugehörigkeit
CNR-IMATI, Milano, Italy
Pasquali, S.;
Zugehörigkeit
Dipartimento di Medicina Molecolare e Traslazionale, Università degli Studi di Brescia, Viale Europa 11, Brescia, Italy
Gilioli, G.

Environmental risk assessment (ERA) is an important component of risk analysis for plant pests and invasive alien species (IAS), and a standardized and consistent methodology has recently been developed for evaluating their impact on ecosystem services and biodiversity. This paper presents the application of this innovative methodology for ERA to Agrilus planipennis, the emerald ash borer, which causes significant mortality to Fraxinus (ash) species in forests and urban areas of North America (here: USA and Canada, excluding Mexico) and Russia. The methodology follows a retrospective analysis and summarizes information and observations in invaded areas in North America and Russia. Uncertainty distributions were elicited to define quantitatively a general pattern of the environmental impact in terms of reduction in ecosystem provisioning, supporting and regulating services, and biodiversity components. The environmental impacts of A. planipennis are time- and context-dependent, therefore two time horizons of 5 and 20 years after introduction and two ecosystems (urban and forest) were considered. This case study shows that the quantitative assessment of environmental impacts for IAS is both possible and helpful for decision-makers and risk managers who have to balance control costs against potential impacts of IAS.

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