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Research project (§ 26 & § 27)
Duration : 2021-10-01 - 2024-09-30

RIMPEST aims to assess upcoming risks from an array of most important and representative insect pests already occurring in Austria in a changing climate under crop production conditions, considering regional aspects and high spatial resolution of agricultural land use. The first main objective is to establish a data base (extension of the available COMBIRISK data base) for the research on thermophilic insects in Austria, which includes amongst others available data on pests, climate, weather, pest models and reported (weather-related) pest damages on crops as well as meta-information of protected data sources for related research activities. The second main objective is to validate and improve existing pest models for selected target pest insects for Austrian conditions and to generate new pest models where lacking. For those pest models, which will be used for simulations of pest trends under climate and crop scenarios, performance tests will be applied in selected case study regions. The third objective includes the simulation and analysis of pest trends under climate and crop scenarios, based on the pest models tested in Austrian case study regions. An ensemble of downscaled Austrian climate scenarios (ÖKS) will be used to estimate the range of future potential pest risks in the various Austrian crop growth regions. In cases where applicable and meaningful, such as for annual crops as maize, scenarios of crop rotation share of crops will be additionally included in the analysis. The fourth objective is addressed to stakeholder oriented dissemination and exploitation of results. This aspect is important, as stakeholders (framers) decisions of crop planning and management as well as pest management options are crucial for successful adaptation options to changing pest risks in Austria. Better awareness on the underlying processes determining pest risks will also help to implement recommendations for adaptations and support related policy activities.
Research project (§ 26 & § 27)
Duration : 2021-07-01 - 2023-06-30

Scientific management of the research program "StartClim_2021 The climate research program StartClim was founded in 2002 by the climate research initiative AustroClim together with the Ministry of Environment. It is a flexible instrument that can quickly address current issues in the field of climate change due to its short duration and annual allocation of projects. Within the framework of StartClim projects, new topics related to climate or climate change can and should be researched in an interdisciplinary manner from a wide variety of perspectives and by a wide variety of disciplines. In the project "StartClim2021 - Scientific Management" the scientific management for the quality assurance of the implementation of the StartClim program in the tender period 2021 is offered.
Research project (§ 26 & § 27)
Duration : 2021-10-01 - 2023-09-30

The research project Future_Capacity addresses the pressures of heat stress and air pollution for individuals and communities in Austria. It is motivated by the desire to advance our understanding of emerging climate risks and pressures towards (i) households and (ii) communities under different socio-environmental conditions. Future_Capacity proposes three main clusters of analysis for studying the dynamics that characterise the use of climate risk management in Austria. These dynamics involve: a) governance aspects, encompassing future adaptation planning constellations that guide climate risk management and decision-making, b) social aspects that determine the social vulnerability and individual capacity to deal with heat stress and air pollution, and c) climate modelling aspects that consider the future changes in heat and surface ozone burdens for health impacts on communities. Future_Capacity is designed with a multidisciplinary perspective using a broad methodological repertoire, integrating quantitative and qualitative natural and social science research methods.

Supervised Theses and Dissertations