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@Article{BurtonBCFHJKRW:2019:ReFiLa,
               author = "Burton, Chantelle and Betts, Richard and Cardoso, Manoel Ferreira 
                         and Feldpausch, Ted R. and Harper, Anna and Jones, Chris D. and 
                         Kelley, Douglas I. and Robertson, Eddy and Wiltshire, Andy",
          affiliation = "{Met Office Hadley Centre} and {Met Office Hadley Centre} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)} and {University 
                         of Exeter} and {University of Exeter} and {Met Office Hadley 
                         Centre} and {Centre for Ecology and Hydrology} and {Met Office 
                         Hadley Centre} and {Met Office Hadley Centre}",
                title = "Representation of fire, land-use change and vegetation dynamics in 
                         JULES",
              journal = "Geoscientific Model Development",
                 year = "2019",
               volume = "12",
               number = "1",
                pages = "179--193",
                month = "Jan.",
             abstract = "Disturbance of vegetation is a critical component of land cover, 
                         but is generally poorly constrained in land surface and carbon 
                         cycle models. In particular, land-use change and fire can be 
                         treated as large-scale disturbances without full representation of 
                         their underlying complexities and interactions. Here we describe 
                         developments to the land surface model JULES (Joint UK Land 
                         Environment Simulator) to represent land-use change and fire as 
                         distinct processes which interact with simulated vegetation 
                         dynamics. We couple the fire model INFERNO (INteractive Fire and 
                         Emission algoRithm for Natural envirOnments) to dynamic vegetation 
                         within JULES and use the HYDE (History Database of the Global 
                         Environment) land cover dataset to analyse the impact of land-use 
                         change on the simulation of present day vegetation. We evaluate 
                         the inclusion of land use and fire disturbance against standard 
                         benchmarks. Using the Manhattan metric, results show improved 
                         simulation of vegetation cover across all observed datasets. 
                         Overall, disturbance improves the simulation of vegetation cover 
                         by 35% compared to vegetation continuous field (VCF) observations 
                         from MODIS and 13% compared to the Climate Change Initiative (CCI) 
                         from the ESA. Biases in grass extent are reduced from -66% to 13 
                         %. Total woody cover improves by 55% compared to VCF and 20% 
                         compared to CCI from a reduction in forest extent in the tropics, 
                         although simulated tree cover is now too sparse in some areas. 
                         Explicitly modelling fire and land use generally decreases tree 
                         and shrub cover and increases grasses. The results show that the 
                         disturbances provide important contributions to the realistic 
                         modelling of vegetation on a global scale, although in some areas 
                         fire and land use together result in too much disturbance. This 
                         work provides a substantial contribution towards representing the 
                         full complexity and interactions between land-use change and fire 
                         that could be used in Earth system models.",
                  doi = "10.5194/gmd-12-179-2019",
                  url = "http://dx.doi.org/10.5194/gmd-12-179-2019",
                 issn = "1991-959X",
             language = "en",
           targetfile = "burton_representation.pdf",
        urlaccessdate = "05 dez. 2020"
}


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