Modelling system dynamics as a socio-ecological perspective to support human-beaver interactions

• A system dynamics model explores human-beaver interactions and conflicts. • Model simulates ecological, social, economic and policy-making scenarios. • Predictions promote prevention and stakeholder engagement in wildlife management. • Model supports decision-making by quantifying dynamics of human-beaver interaction. Beavers are semi-aquatic mammals that significantly impact on freshwater ecosystems, creating benefits and challenges, particularly in areas with close human interaction. Managing human-beaver interactions is a multifaceted issue due to the many variables involved, but the complexity of these interactions can be analysed effectively using system dynamics models. These models are used in many contexts, including wildlife management, to simulate a variety of management policies and assess their effects. The present study addressed gaps in the literature by developing a system dynamics model that examined both the benefits and conflicts that arise from human-beaver interactions. The model, implemented using Vensim PLE software, synthesised qualitative and quantitative data to simulate four simulation scenarios: ecological, social, economic, and policy making. The study examined the dynamics of beaver populations, ecosystem service provision, social perceptions, and management strategies in a case study of the Ivrea lakes area in the Piedmont region (Italy). Model predictions highlights that beaver populations stabilized logistically, influencing ecosystem services and residual capital, while social acceptance stongly reduced management costs and social pressure. Optimal budget allocation and combined strategies emerged as key to sustainable management and conflict mitigation. Overall, predictions suggest that an integrated approach that prioritises prevention and actively engages local communities can improve both ecological outcomes and social acceptance of beavers. The model is a useful decision and discussion tool for assessing management strategies and facilitating stakeholder involvement. Future studies should expand on these results by exploring additional beaver-related conflicts and benefits in diverse contexts.

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Publication Details

Journal
Ecological Modelling
Published
2025-02-21
DOI
https://doi.org/10.1016/j.ecolmodel.2025.111057
Citations
3
Primary Topic
Ecology and biodiversity studies
Type
article
Field-Weighted Citation Impact
5.15
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article

Modelling system dynamics as a socio-ecological perspective to support human-beaver interactions

Elena Comino, Anna Treves, Giovanni Zenezini
3 citations
Ecological Modelling
Ecology and biodiversity studies
5.15
article

Modelling system dynamics as a socio-ecological perspective to support human-beaver interactions

Elena Comino, Anna Treves, Giovanni Zenezini
article en
3 citations

Abstract

• A system dynamics model explores human-beaver interactions and conflicts. • Model simulates ecological, social, economic and policy-making scenarios. • Predictions promote prevention and stakeholder engagement in wildlife management. • Model supports decision-making by quantifying dynamics of human-beaver interaction. Beavers are semi-aquatic mammals that significantly impact on freshwater ecosystems, creating benefits and challenges, particularly in areas with close human interaction. Managing human-beaver interactions is a multifaceted issue due to the many variables involved, but the complexity of these interactions can be analysed effectively using system dynamics models. These models are used in many contexts, including wildlife management, to simulate a variety of management policies and assess their effects. The present study addressed gaps in the literature by developing a system dynamics model that examined both the benefits and conflicts that arise from human-beaver interactions. The model, implemented using Vensim PLE software, synthesised qualitative and quantitative data to simulate four simulation scenarios: ecological, social, economic, and policy making. The study examined the dynamics of beaver populations, ecosystem service provision, social perceptions, and management strategies in a case study of the Ivrea lakes area in the Piedmont region (Italy). Model predictions highlights that beaver populations stabilized logistically, influencing ecosystem services and residual capital, while social acceptance stongly reduced management costs and social pressure. Optimal budget allocation and combined strategies emerged as key to sustainable management and conflict mitigation. Overall, predictions suggest that an integrated approach that prioritises prevention and actively engages local communities can improve both ecological outcomes and social acceptance of beavers. The model is a useful decision and discussion tool for assessing management strategies and facilitating stakeholder involvement. Future studies should expand on these results by exploring additional beaver-related conflicts and benefits in diverse contexts.

Ecological ModellingVol. 503
Politecnico di Torino (IT)
Openalex Percentile: Top 6%
Ecology and biodiversity studies
5.15
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