|Biomaterials in global value chains
||Evaluate the past and current material use of agricultural commodities, e.g. in the chemical industry, and investigate potential trajectories. Trace back biomaterials to the place of production of the agricultural feedstock, derive its footprints, and evaluate positive and negative environmental trade-offs.
|Biofuels in global value chains
||Evaluate the past and current use of bioenergy, including biogas, biodiesel and ethanol. Trace back biofuels to the place of production of the agricultural feedstock, derive its footprints, and evaluate positive and negative environmental trade-offs.
|Footprint of dietary patterns
||Compare the land, water and CO2 footprints of food consumption in different countries over time (1986-2017)
|Tracing palm oil through global value chains
||Trace the flows of palm oil along international value chains and investigate uses for food and non-food products by country. Analyze changes over time.
|Tracing … through global value chains
||Also other commodities can be traced from production to consumption, including e.g. meat, soya, cotton, etc.
|Deforestation in Mato Grosso, Brazil
||Trace agricultural products and embodied land use change (LUC) from Mato Grosso, Brazil, to final consumers all over the world and assess how consumption in other places is driving for LUC in Mato Grosso.
|Global flows of timber and wood products
||Set up national physical supply and use accounts for timber and wood products, including e.g. panels, pulp and paper. Trace carbon embodied in timber from forests to final consumption through international processing chains.
|Footprint of organic agriculture
||How would global land use and land footprints change if the world would move to organic agriculture?
|Carbon sequestration in 2030
||Which trade structures would allow meeting the INDC targets of C sequestration in 2030 or would get us as close as possible?
||Calculate and analyze the deforestation footprint of food and non-food products. Compare different methods and assumptions.
||Calculate the eutrophication related with crop production and animal husbandry and calculate the eutrophication footprint for food and non-food products
|Econometric analysis of Land Use Change
||Investigate the drivers and/or impacts of land use change (e.g. deforestation, commercialisation) using econometric methods. Focal points may be agriculture (croplands, animal husbandry), forestry, mineral extraction, trade, infrastructure, or policy (e.g. zero-deforestation commitments, protected areas, etc.).
Potential data sources include land cover maps (e.g. https://globalforestwatch.org or https://lcviewer.vito.be/), and national or third party statistics (https://sidra.ibge.gov.br/ or https://trase.earth/). Areas of application could be, but are not limited to Brazil or Indonesia.
Students should have a good understanding of R, linear algebra and econometrics. Knowledge of or interest in spatial econometrics, GIS and Bayesian econometrics is beneficial.
|Bioeconomy at the regional level
||Investigate resource extraction, trade linkages and value added of food- and non-food bioeconomy activities at the sub-national level in Austria. On the basis of available statistics and a quantitative survey, a regional input-output table (RIOT) with disaggregated biobased activities for a selected ‘Bundesland’ will be compiled. The RIOT needs to be analysed in the context of a potential bioeconomy transition subject to climate change. What are key resources and contributions of the bioeconomy at the regional level? What is the role of trade in the regional bioeconomy? What are potential climate vulnerabilities in biobased supply chains from farmer to end-user? Note that this topic can only be selected by a German-speaking candidate, in order to make full use of local/regional statistics.