This study investigates the structure and robustness of ecological networks with two interaction types, focusing on tripartite networks composed of two interaction layers (e.g., pollination and herbivory). The research analyzes 44 tripartite ecological networks from the literature, each containing two interaction layers, and assesses their robustness to species loss. The findings reveal that the robustness of the whole community is a combination of the robustness of the two ecological networks composing it. The way the layers of interactions are connected affects the interdependence of their robustness. In many networks, this interdependence is low, suggesting that restoration efforts may not automatically propagate through the whole community. The study highlights the importance of considering multiple interactions simultaneously to better gauge the robustness of ecological communities to species loss and to more reliably identify key species important for community persistence. The results show that the robustness of antagonistic-antagonistic networks is lower than that of mutualistic-mutualistic networks when plants are randomly driven to extinction. However, a multi-interaction approach is crucial to understand the interdependence of the robustness of different animal sets and to correctly determine the relative importance of different plant species at the whole community level. The study also identifies keystone species in the whole community, showing that the ranking of plant importance is often determined by their importance for both animal sets. The results suggest that considering multiple ecological interactions simultaneously does not have a dramatic impact on the overall robustness of multi-interaction networks to plant losses, but a multi-interaction approach is crucial for understanding the interdependence of robustness and identifying key species for biodiversity conservation.This study investigates the structure and robustness of ecological networks with two interaction types, focusing on tripartite networks composed of two interaction layers (e.g., pollination and herbivory). The research analyzes 44 tripartite ecological networks from the literature, each containing two interaction layers, and assesses their robustness to species loss. The findings reveal that the robustness of the whole community is a combination of the robustness of the two ecological networks composing it. The way the layers of interactions are connected affects the interdependence of their robustness. In many networks, this interdependence is low, suggesting that restoration efforts may not automatically propagate through the whole community. The study highlights the importance of considering multiple interactions simultaneously to better gauge the robustness of ecological communities to species loss and to more reliably identify key species important for community persistence. The results show that the robustness of antagonistic-antagonistic networks is lower than that of mutualistic-mutualistic networks when plants are randomly driven to extinction. However, a multi-interaction approach is crucial to understand the interdependence of the robustness of different animal sets and to correctly determine the relative importance of different plant species at the whole community level. The study also identifies keystone species in the whole community, showing that the ranking of plant importance is often determined by their importance for both animal sets. The results suggest that considering multiple ecological interactions simultaneously does not have a dramatic impact on the overall robustness of multi-interaction networks to plant losses, but a multi-interaction approach is crucial for understanding the interdependence of robustness and identifying key species for biodiversity conservation.