Trait positions for elevated invasiveness in adaptive ecological networks

Abstract Our ability to predict the outcome of invasion declines rapidly as non-native species progress through intertwined ecological barriers establish and spread in recipient ecosystems. This is largely due lack systemic knowledge on key processes at play self-sustaining populations within invaded range. To address this gap, we present a mathematical model that captures eco-evolutionary dynamics native interacting an network. The derived from continuous-trait evolutionary game theory (i.e., Adaptive Dynamics) its associated concept fitness which depicts dynamic demographic performance both trait mediated density dependent. approach allows us explore how multiple resident coevolve reshape performance, or more precisely invasiveness, over space. clarifies role specific traits enabling occupy realised opportunistic niches. It also elucidates direction speed residing (natives non-natives) network under different levels propagule pressure. versatility demonstrated using four examples correspond (i) horizontal competitive community; (ii) bipartite mutualistic network; (iii) antagonistic (iv) multi-trophic food web. We identified cohesive strategy enables success establishment possess high invasiveness. Specifically, find can achieve invasiveness by possessing overlap with those facilitators (and mutualists), enhances benefits accrued positive interactions, outside range antagonists, mitigates costs negative interactions. ‘central-to-reap, edge-to-elude’ therefore describes strategic positions invade provides theoretical platform for exploring strategies complex adaptive networks.