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Model based risk assessment of oak processionary moth in climate change. Subproject 2 (ModEPSKlim)

Project


Project code: 28WC409002
Contract period: 01.03.2016 - 30.04.2019
Budget: 170,021 Euro
Purpose of research: Applied research

Owing to the increasing occurrence of oak processionary moth (OPM), Thaumetopoea processionea L., in Central Europe since the 1990s, both host trees and human health are progressively more endangered by larval feeding and setae produced by the caterpillars, respectively. In the course of the project 'ModEPSKlim', an online early warning system for regionally differentiated evaluation of development conditions (phenology) and population density of OPM and the associated risk for forests and human health should be developed. Through combination of basics in phenology and population dynamics of OPM with aerial spread of setae dependent from spatial distance and weather (forecast), current and future threat of setae pollution and defoliation by the caterpillars is predictable. Hence, the model enables a timely and effective application of preventive and regulatory measures with respect to oak tree and human health protection. Primarily, FVA works on project parts TP1 and TP3. TP1 examines bionomics of OPM and contains investigations of phenology, population density and setae pollution as decisive parameters for model development. For assessment of risk period in course of the year, field and laboratory studies are conducted to determine the eclosion of neonate larvae and the following instars. This enables calculation of development thresholds and effective temperature sums for the respective stages. Moreover, through counting of egg batches, larval colonies and pupation nests as well as through moth monitoring with pheromone traps, population density will be ascertained. Besides, setae pollution in the air around OPM-infested trees will be measured by means of passive and active samplers. With the support of IFFF (BOKU Vienna), all collected data combined with results of other studies will be processed to the online early warning system (TP3).

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