Scale variance in the carbon dynamics of fragmented, mixed-use landscapes estimated using model–data fusion

Milodowski, David T.; Smallman, T. Luke; Williams, Mathew

doi:https://doi.org/10.5194/bg-20-3301-2023

Articles | Volume 20, issue 15

https://doi.org/10.5194/bg-20-3301-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/bg-20-3301-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 20, issue 15

Research article

|

11 Aug 2023

Research article |

| 11 Aug 2023

Scale variance in the carbon dynamics of fragmented, mixed-use landscapes estimated using model–data fusion

David T. Milodowski, T. Luke Smallman, and Mathew Williams

Data sets

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" David T. Milodowski, T. Luke Smallman, and Mathew Williams https://doi.org/10.7488/ds/3843

Model code and software

MilodowskI_etal_2023_Biogeosciences_scale_variance: v1.0.0 publication code archive D. T. Milodowski, T. L. Smallman, and M. Williams https://doi.org/10.5281/zenodo.8146687

Short summary

Model–data fusion (MDF) allows us to combine ecosystem models with Earth observation data. Fragmented landscapes, with a mosaic of contrasting ecosystems, pose a challenge for MDF. We develop a novel MDF framework to estimate the carbon balance of fragmented landscapes and show the importance of accounting for ecosystem heterogeneity to prevent scale-dependent bias in estimated carbon fluxes, disturbance fluxes in particular, and to improve ecological fidelity of the calibrated models.