While the Czech forestry has been an important carbon sink responsible for offsetting on average between 5-10 % of country ´s GHG emissions, the agriculture land and agriculture sector as a whole have been net emitters despite the ongoing efforts to change those trends. In the recent years the extreme drought and heat episodes attributed at least partly to the ongoing climate change have turned also Czech forests into the GHG sources. While the potential of agriculture and forestry GHG mitigation capacity can be estimated at 10-15 % of the total emissions this potential is not being utilized. This is firstly because the applicable agriculture techniques for carbon sequestration and limitation of CH4 and N2O emissions have so far not been developed and proven under climate conditions of Central Europe and particularly the in depth understanding to the critical soil process is missing. Secondly the methods for monitoring attributing the GHG emissions to particular processes in agriculture and forestry have not available in sufficient resolutions and precision. Thirdly as recent extreme events have shown any effort to mitigate GHG emissions on the landscape level must account for increasing risk of unfavourable to extreme climate conditions but also account for range of other sustainability goals (e.g. water and food provisioning, health and environmental protection etc.) to be really viable. To address these challenges the AdAgriF project has been conceived as an effort to turn the Czechia landscape into efficient, sustainable and resilient tool for GHG mitigation while maintaining its other functions. This will be achieved through:
1. Determined effort to understand processes of cycles key GHG gasses from molecular to landscape level and especially developing methods that would enhance the mitigation capacity;
2. Development high resolution system for real-time attribution of GHG fluxes and their forecast in the way that would allow flexible management of agriculture (and to some extend forestry) processes in a way that would enhance GHG sequestration based on forecast;
3. Develop a control mechanism that would allow for maximizing the GHG mitigation while not compromising other critical ecosystem services.