Analyzing gendered patterns of tree cover transition through agent-based modelling

Agent-based models (ABMs) are widely used to explore and understand
social phenomena such as migration, group formation, and interaction
with the environment. ABM can be applied and used for policy analysis
and planning, participatory modeling, explaining spatial patterns of land use or
settlement, testing social science concepts, and explaining land use functions. The
ABM method enables researchers to analyse complex systems arising from local
interaction of system entities. In Indonesia, we applied ABM to explore gendersegregated
decision-making to understand tree cover transition in a temporal and
spatially explicit way (Figure 1)