A coupled agent-based model to analyse human-drought feedbacks for agropastoralists in dryland regions

Drought is a persistent hazard that impacts the environment, people's livelihoods, access to education and food security. Adaptation choices made by people can influence propagation of this drought hazard. However, few models incorporate adaptive behavior feedbacks between adaptations drought. In research, we present dynamic adaptation modeling framework, ADOPT-AP, which combines socio-hydrological agent-based approaches. This approach applied agropastoral communities in dryland regions Kenya. We couple spatially explicit hydrological Dryland Water Partitioning (DRYP) model with behavioral capable simulating different bounded rational theories (ADOPT). The results demonstrate agropastoralists respond differently due differences (perceptions of) their environment. Downstream are impacted more heavily implement short-term measures than upstream same catchment. Additional drivers concern socio-economic factors such as wealth distance wells. show uptake influences soil moisture (positively through irrigation) groundwater (negatively abstraction) and, thus, cycle.