Articles | Volume 15, issue 5
https://doi.org/10.5194/bg-15-1497-2018
https://doi.org/10.5194/bg-15-1497-2018
Research article
 | 
14 Mar 2018
Research article |  | 14 Mar 2018

Estimation of gross land-use change and its uncertainty using a Bayesian data assimilation approach

Peter Levy, Marcel van Oijen, Gwen Buys, and Sam Tomlinson

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Cited articles

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Bradley, R., Milne, R., Bell, J., Lilly, A., Jordan, C., and Higgins, A.: A soil carbon and land use database for the United Kingdom, Soil Use Manage., 21, 363–369, https://doi.org/10.1079/SUM2005351, 2005.
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Dainese, M., Isaac, N. J. B., Powney, G. D., Bommarco, R., Öckinger, E., Kuussaari, M., Pöyry, J., Benton, T. G., Gabriel, D., Hodgson, J. A., Kunin, W. E., Lindborg, R., Sait, S. M., and Marini, L.: Landscape simplification weakens the association between terrestrial producer and consumer diversity in Europe, Glob. Change Biol., 23, 3040–3051, https://doi.org/10.1111/gcb.13601, 2017.
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Short summary
We present a new method for estimating land-use change using a Bayesian data assimilation approach. This allows us to constrain estimates of gross land-use change with reliable national-scale census data whilst retaining the information available from several other sources. This includes detailed spatial data; further data sources, such as new satellites, could easily be added in future. Uncertainty is propagated appropriately into the output.
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