CARDAMOM driving data and C-cycle model outputs to accompany "Scale-variance in the carbon dynamics of fragmented, mixed-use landscapes estimated using Model-Data Fusion"

This archive contains the driving data and selected model outputs to accompany the manuscript: Milodowski, D.T., Smallman, T.L., Williams, M. (in submission), "Scale-variance in the carbon dynamics of fragmented, mixed-use landscapes estimated using Model-Data Fusion", Biogeosciences Discussions. Many terrestrial landscapes are heterogeneous. Mixed land cover and land-use generate a complex mosaic of fragmented ecosystems at fine spatial resolutions with contrasting ecosystem stocks, traits and processes, each differently sensitive to environmental and human factors. Representing spatial complexity within terrestrial ecosystem models is a key challenge for understanding regional carbon dynamics, their sensitivity to environmental gradients, and their resilience in the face of climate change. Heterogeneity underpins this challenge due to the trade-off between the fidelity of ecosystem representation within modelling frameworks and the computational capacity required for fine-scale model calibration and simulation. We directly address this challenge by quantifying the sensitivity of simulated carbon fluxes in a mixed-use landscape in the UK to the spatial resolution of the model analysis.