Agricultural ecosystems are the source of important common pool resources providing multiple goods and services, thus playing a crucial role in sustaining human well-being. Yet, the competitive overuse as well as the misuse of this type of ecosystem largely persists. The presence of multiple beneficiaries of agriculture landscapes represents a dilemma for each of them and society as a whole: how to compromise between the individual satisfaction of demands for ecosystem services (ESs) and the consideration of conflicting demands between actors? Sophisticated modelling tools that can represent the complexity of such a dilemma at the sub-regional spatial scale are still lacking. To that end, in this study we assess the potential of the newly-developed spatial agent-based model (ABM) "Viability of Social-Ecological Agroecosystem" (ViSA) to identify approaches for alleviating conflicting demands between different actors and reduce the supply-demand gaps for selected ESs. The model is developed and used as part of the project "Digital Agricultural Knowledge and Information System (DAKIS)" (https://adz-dakis.com/en/) which aims to support farmers in agricultural management choices with real-time digital data and spatially-explicit modelling to enable the resource-efficient sustainable production of ESS. We use ViSA to simulate cooperative as well as non-cooperative social-ecological interactions between beneficiaries of ESs under different management options to understand lock-ins and obstacles that hinder the sustainability of the system in a ten-year timeframe. We address five different ESs (biomass yield, erosion control, carbon sequestration, water availability and biodiversity) and consider diverse groups of actors in an agricultural landscape in northeast Germany (farmers, foresters, retailers, inhabitants, policy makers, etc.). The actors are differentiated by their decision preferences for specific agricultural management options and by different portfolios of capitals behind their behavioral efforts, including financial, human, social, natural, physical and cultural capital. The results of the simulation reveal the extent to which cropping diversification, as one tested management option, under cooperative behavior is more advantageous compared to non-cooperative behavior. It shows a positive impact on the supply-demand gap, on actors' capitals, as well as on conflict risk reduction. We conclude that ViSA represents a novel promising tool for tackling complex systems and for identifying conditions that secure the viability of the social-ecological agroecosystem, while addressing the demand-oriented provision of ESs and capturing interactions at the landscape level. It allows examining the evolution of the system under diverse scenarios of management options and decision rules to support stakeholders in making decisions to satisfy their demands for ESs while considering the demands of other actors.