The multifunctionality of forest systems calls for appropriately complex modelling
approaches to capture social and ecosystem dynamics. Using a social-ecological systems …

Understanding how society can address and mitigate threats to groundwater sustainability
remains a pressing challenge in the Anthropocene era. This article presents the first …

To reduce agricultural greenhouse gas (GHG) emissions, farmers need to change current
farming practices. However, farmers' climate change mitigation behaviour and particularly …

Despite the increasing use of standards for documenting and testing agent-based models
(ABMs) and sharing of open access code, most ABMs are still developed from scratch. This …

Computational models are not just appealing because they can simulate and predict the
development of biological phenomena across multiple spatial and temporal scales, but also …

Based on equilibrium assumptions, traditional ecological models have been widely applied
in the fields of management and organization studies. While research using these models is …

Worldwide, feed-food competition for arable land is of rising concern. Swiss agricultural
policy wants to promote grass-based cattle feeding through a voluntary direct payment …

Incorporating citizen engagement in scaling up nature-based solutions (NbS) is a
burgeoning and promising approach to foster localized, decentralized, and bottom-up …

Hybrid intelligence—arising from the sensible, targeted fusion of human minds and cutting-
edge computational systems—holds great potential for enhancing the sustainability of …

The agent-based modelling paradigm often results in complex, highly detailed models,
containing unknown or uncertain parameters. Approximate Bayesian Computation (ABC) …