Low carbon strategies promote the use of renewable energy carriers and biomaterials originating from dedicated and residual forestry and agricultural biomass (e.g. energy crops, woody residues, perennial grasses) [1], as, allegedly, carbon neutral options to displace/offset an energetically equivalent amount of fossil carbon. Life cycle assessment disregards the temporal variability of biogenic carbon (Cbio) flows, justifying the carbon neutrality hypothesis, and thus resulting in zero net CO2 emissions [2–4]. Further challenges in carbon modelling are connected with carbon inputs to the soil contributing to soil organic carbon (SOC) and its associated land use/occupation [5]. The purpose of this work is thus to contribute to the methodological development of dynamic LCA, which incorporates the time dimension in the environmental assessment of products. The objective lies on developing a comprehensive framework for dynamic carbon inventories of biomass supply chains under consideration of the time-dependent growth dynamic, yields, land use and management practices.