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Research project (§ 26 & § 27)
Duration : 2017-09-18 - 2020-09-17

Climate services dealing with sectors that have strong nexus with land management (e.g. forest management for improving infiltration) and energy for water management (e.g. groundwater pumping for urban supply) need to consider these nexus when providing decision making tools for policy makers, helping them to co-design synergic outcomes in their broader agendas of societal goals. Urban areas, river basins and biomass plantations in drought-prone areas with conflicting water uses present such challenges, which ask for a local and sub-regional integration of these nexus and its simulation under climate change and different management practices, to fully understand the outcome of investments and policies for which decision-makers manifested greater knowledge is needed. The main aim of CLISWELN is to advance the provision of climate services (CS) for drought-related decision making, by using the water-energy-land nexus to integrate the cross-sectoral links of decision making about investments in infrastructure and drought management with the longer term Sustainable Development Goals (SDGs). CLISWELN has the following 4 specific objectives: To co-develop a Stakeholder-driven Integrated Nexus Framework (SINF) to consider further synergistic co-benefits of climate service provision with mitigation of CO2 emissions and stakeholder-driven SDGs-related longer term goals; to analyze the socio-ecological dynamics of the case studies (urban, region, river basin) with the SINF; to co-produce evidence-based decision-support tools derived from the SINF, integrating data from existing regional climate predictions with data of relevant sectors (agriculture, urban water, forest management); to communicate the results and their related uncertainties to the stakeholders of each case and beyond, by promoting long lasting impacts through policy exchanges, networking and marketing.
Research project (§ 26 & § 27)
Duration : 2017-09-01 - 2020-08-31

It has been argued since the early days of classical economists that tenancy as compared to land ownership may lead to suboptimal resource allocation and soil degradation. The economic rationale for this is commonly understood to be the differences in the length of farmers’ planning horizons. Given that rental shares are high and constantly increasing in many EU countries, it is important to understand the different impacts of tenancy versus land ownership on farmers’ land use behaviour and investments in land. AES are considered an appropriate response to negative externalities of agricultural production and, therefore, may be an appropriate measure to mitigate effects of insecure land tenure. Formal institutions and economic considerations are important for farmers’ decisions, but social norms, beliefs or values also shape farmers’ motivations and behaviour. Therefore, to fully understand the institutional drivers of farmers’ land use behaviour, we apply economic and socio-psychological theories and Our main contributions are fourfold: i.) we take an integrative approach by combining economic and socio-psychological theories into a model of institutionally shaped land use behaviour; ii.) we enhance the eco-efficiency literature by developing a model that better fits the decisions of family-farm households; iii.) we explore the issue by applying the rather novel HNR approach, which stresses farmers’ relation with nature; iv.) we apply all this, based on two exceptional data sets for Austria: a nationwide, multiple-year dataset on plot level, and farm-level book keeping data linked with survey data collected on the same farms in this project. This project is part of a DFG Research Unit “Agricultural Land Markets – Efficiency and Regulation”.
Research project (§ 26 & § 27)
Duration : 2017-06-01 - 2019-05-31

The project aims at • representing the Austrian bio-economy in an integrated modelling framework under changing climate, policy and market conditions at local and global scales, • identifying and analyzing types and sources of uncertainty in the integrated modelling framework, and at • communicating the uncertainties to potential users in an efficient format The integrated modelling framework for the assessment of the Austrian bio-economy consists of a bio-physical process model, an agronomic model, a spatially explicit bottom-up model of the Austrian agricultural and forestry sector, a bottom-up partial-equilibrium model of the global agricultural and forestry sector, as well as an econometric Input-Output model of the Austrian economy. Uncertainties and their propagation through the integrated assessment framework will be identified in several steps. First, we will define types and sources of uncertainties. Second, we will identify model parameters and model input data that are of interest to both model developers and stakeholders, ideally selecting those that are likely to have significant impact on both, the outcome of the integrated assessment framework and on uncertainty. This will be done in the context of climate, market and policy scenarios. Third, an adequate uncertainty analysis method has to be chosen based on the required time and computational resources. Finally, we will analyze the generated modelling framework output uncertainty in order to identify the contribution of single sources and types of uncertainty to modelling framework sensitivity and uncertainty. The project results should contribute to identifying robust mitigation and adaptation strategies in the Austrian bio-economy, to analyzing inherent uncertainties and to communicate these uncertainties to policy makers in a jointly developed and efficient format.

Supervised Theses and Dissertations