In this section
@article{Millington:2021:10.5194/egusphere-egu21-9502,
author = {Millington, J and Perkins, O and Kasoar, M and Voulgarakis, A},
doi = {10.5194/egusphere-egu21-9502},
title = {Advancing representation of anthropogenic fire in dynamic global vegetation models},
url = {http://dx.doi.org/10.5194/egusphere-egu21-9502},
year = {2021}
}
TY - JOUR
AB - <jats:p><div><p>It is now commonly-understood that improved understanding of global fire regimes demands better representation of anthropogenic fire in dynamic global vegetation models (DGVMs). However, currently there is no clear agreement on how human activity should be incorporated into fire-enabled DGVMs and existing models exhibit large differences in the sensitivities of socio-economic variables. Furthermore, existing approaches are limited to empirical statistical relations between fire regime variables and globally available socio-economic indicators such as population density or GDP. Although there has been some limited representation in global models of the contrasting ways in which different classes of actors use or manage fires, we argue that fruitful progress in advancing representation of anthropogenic fire in DGVMs will come by building on agent-based modelling approaches. Here, we report on our progress developing a global agent-based representation of anthropogenic fire and its coupling with the JULES-INFERNO fire-enabled DGVM.&#160;&#160;</p></div><div><p>Our modelling of anthropogenic fire adopts an approach that classifies &#8216;agent functional types&#8217; (AFTs) to represent human fire activity based on land use/cover and Stephen Pyne&#8217;s fire development stages. For example, the &#8216;swidden&#8217; AFT represents shifting cultivation farmers managing cropland and secondary vegetation in a pre-industrial development setting. This approach is based on the assumption that anthropogenic fire use and management is primarily a function of land use but influenced by socio-economic context, leading different AFTs to produce qualitatively distinct fire regimes. The literature empirically supports this assumption, however data
AU - Millington,J
AU - Perkins,O
AU - Kasoar,M
AU - Voulgarakis,A
DO - 10.5194/egusphere-egu21-9502
PY - 2021///
TI - Advancing representation of anthropogenic fire in dynamic global vegetation models
UR - http://dx.doi.org/10.5194/egusphere-egu21-9502
ER -