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

Abstract

A gent-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 gender- segregated decision-making to understand tree cover transition in a temporal and spatially explicit way (Figure 1)