The data are fractional coverage of plant functional/surface types, carbon content in vegetation, carbon content in soil. The data are the result of simulations conducted in the JULES land surface model, of several complementary pathways for increasing forest coverage and forest density during the 21st century. A historical simulation covering 1880-2000 is included, followed by seven future simulations for the main simulation period of 2001-2100. This is followed by an extended run for 50 further years based on 2090s climate. Driven by Representative Concentration Pathway (RCP2.6) climatology at N96 resolution (1.25 deg latitude, 1.875 deg longitude). Full details about this dataset can be found at https://doi.org/10.5285/6683abd8-1368-495c-9eb3-726c6c559e7e

This dataset contains potential yields of Miscanthus and changes to soil carbon storage resulting from Miscanthus cultivation. The purpose of this study was to evaluate and compare diverse modelling techniques for evaluating the potential of bioenergy crops to mitigate climate change. Three different types of gridded global models were used: a land surface model, JULES (the Joint UK Land Environment Simulator); a bioenergy crop model, MiscanFor; and an integrated assessment model, IMAGE (Integrated Model to Assess the Global Environment). The simulated scenario uses land use and climatology from RCP (Representative Concentration Pathway) 2.6 and focuses on two study areas: the tropics during 2040-49, and Europe during 2090-99. These data were generated as part of the NERC programme Feasibility of Afforestation and Biomass energy with carbon capture storage for Greenhouse Gas Removal (FAB GGR) (Grant NE/P019951/1). Full details about this dataset can be found at https://doi.org/10.5285/16b26b21-98ce-4c26-8b9e-c80c91403d9e