Ziel
Nitrogen (N) limits primary productivity in most terrestrial ecosystems, which has led to increased use of N fertilisers within farming systems. The amount of reactive N in global circulation has more than doubled; this has global significance as the N can cascade through different chemical forms in land, air and water, leading to a range of human health and environmental impacts. In order to achieve sustainable food production systems of the future, there is a need to improve knowledge on the best management of farm N, especially under increased demand for food production under a burgeoning human population. The Target-N2O project will deliver a high quality training-through research project aiming to improve N use efficiency and reduce emissions of the powerful greenhouse gas, N2O, from intensive dairy farms. The project will combine multi-disciplinary techniques in a novel way, including molecular ecology, stable isotope methods and whole-farm system modelling to determine the cost-benefits of an N loss mitigation strategy. The strategy would be to apply nitrification inhibitors to pasture areas which have been identified as farm-scale N2O emission hot-spots (e.g. areas of pasture around gateways, livestock shelter areas and camping areas). Such areas receive regular inputs of nutrients including labile N (through urine events) and carbon sources (via dung), which fuel microbial processes leading to enhanced and spatially variable GHG emissions. Evidence of the effectiveness of nitrification inhibitors to reduce N losses from these areas are lacking. The results of the action will have cross-sectoral impact (scientists, dairy and fertiliser industries and policy makers). The project will deliver decision support tools for farmers utilising such a mitigation strategy and will impact policy by improving national GHG inventories, establishing the effectiveness of cost-effective mitigation strategies.
Wissenschaftliches Gebiet
CORDIS klassifiziert Projekte mit EuroSciVoc, einer mehrsprachigen Taxonomie der Wissenschaftsbereiche, durch einen halbautomatischen Prozess, der auf Verfahren der Verarbeitung natürlicher Sprache beruht.
CORDIS klassifiziert Projekte mit EuroSciVoc, einer mehrsprachigen Taxonomie der Wissenschaftsbereiche, durch einen halbautomatischen Prozess, der auf Verfahren der Verarbeitung natürlicher Sprache beruht.
- agricultural sciencesagriculture, forestry, and fisheriesagriculturesustainable agriculture
- agricultural sciencesanimal and dairy sciencedairy
- social scienceseconomics and businesseconomicsproduction economicsproductivity
- natural sciencesbiological sciencesecologyecosystems
- agricultural sciencesanimal and dairy sciencedomestic animalsanimal husbandry
Programm/Programme
Thema/Themen
Aufforderung zur Vorschlagseinreichung
Andere Projekte für diesen Aufruf anzeigenFinanzierungsplan
MSCA-IF-GF - Global FellowshipsKoordinator
LL57 2DG Bangor
Vereinigtes Königreich