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

Streefkerk, I.N., de Bruijn, J. ORCID: https://orcid.org/0000-0003-3961-6382, Haer, T., Van Loon, A.F., Quichimbo, E.A., Wens, M., Hassaballah, K., & Aerts, J.C.J.H. (2023). A coupled agent-based model to analyse human-drought feedbacks for agropastoralists in dryland regions. Frontiers in Water 4 e1037971. 10.3389/frwa.2022.1037971.

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Project: Translation of climate information into multilevel decision support for social adaptation, policy development, and resilience to water scarcity in the Horn of Africa Drylands (DOWN2EARTH, H2020 869550)


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

Item Type: Article
Uncontrolled Keywords: agent-based model (ABM); agropastoralists; drought; drylands; feedbacks; socio-hydrology
Research Programs: Biodiversity and Natural Resources (BNR)
Biodiversity and Natural Resources (BNR) > Water Security (WAT)
Depositing User: Luke Kirwan
Date Deposited: 06 Feb 2023 10:05
Last Modified: 06 Feb 2023 10:05
URI: https://pure.iiasa.ac.at/18611

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