Project

ClimAgri4Ukraine - Towards climate resilient smart agriculture and sustainable food systems in Ukraine

Objectives:

Develop innovative climatic and socio-economic measurement and analysis models which quantify the resilience of Ukrainian agriculture, predict future farming conditions and economic status of food produders and consumers. Explore transformative governance arrangements for sustainable and resilient food consumption and production. Support the Ukrainian research and policy agenda with recommendations for climate-smart agriculture and implementation of a National Road Map for ‘Sustainable Food Systems’.


Sub-projects:

  • Knowledge-based modeling tools for water and land and future climate resilient scenarios for sustainable agriculture
  • Decarbonization of agriculture: Governing food system transformation towards more sustainable production-consumption linkages
  • Sustainable food systems and value chains to cope with food waste and food loss
  • Economic resilience of farmers, agricultural performance and land use
  • Research agenda and future policy for sustainable food systems approach

Selected project outputs in alphabetical order:

The implications of the Russian-Ukrainian war on the state of natural resources in Ukraine; https://dglib.nubip.edu.ua/items/4d10546d-6fb3-4ebf-b29a-75f0335d008d

Establishment and launch of the Resilience Unit at the Center for Food and Land-Use Research at Kyiv School of Economics Agrocenter

Ihle et al. (2022): Russia’s invasion of Ukraine increased the synchronisation of global commodity prices, https://doi.org/10.1111/1467-8489.12496

Strokal et al. (2022a): The future of the Black Sea: More pollution in over half of the rivers, https://doi.org/10.1007/s13280-022-01780-6

Strokal et al. (2022b): Future microplastics in the Black Sea: River exports and reduction options for zero pollution, https://doi.org/10.1016/j.marpolbul.2022.113633

Strokal et al. (2023): More river pollution from untreated urban waste due to the Russian-Ukrainian war: a perspective view, https://doi.org/10.1080/1943815X.2023.2281920