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Trait positions for elevated invasiveness in adaptive ecological networks
Authors:Hui  Cang  Richardson  David M.  Landi  Pietro  Minoarivelo  Henintsoa O.  Roy  Helen E.  Latombe  Guillaume  Jing  Xin  CaraDonna  Paul J.  Gravel  Dominique  Beckage  Brian  Molofsky  Jane
Affiliation:1.Centre for Invasion Biology, Department of Mathematical Sciences, Stellenbosch University, Matieland, 7602, South Africa
;2.Biodiversity Informatics Unit, African Institute for Mathematical Sciences, Cape Town, 7945, South Africa
;3.International Initiative for Theoretical Ecology, Unit 10, 317 Essex Road, London, N1 2EE, UK
;4.Centre for Invasion Biology, Department of Botany and Zoology, Stellenbosch University, Matieland, 7602, South Africa
;5.UK Centre for Ecology and Hydrology, Wallingford, OX10 8BB, Oxfordshire, UK
;6.Department of Botany and Biodiversity Research, Division of Conservation Biology, Vegetation and Landscape Ecology, University of Vienna, Rennweg 14, 1030, Vienna, Austria
;7.Institute of Evolutionary Biology, The University of Edinburgh, King’s Buildings, Edinburgh, EH9 3FL, UK
;8.Rubenstein School of Environment and Natural Resources, University of Vermont, Burlington, VT, USA
;9.Gund Institute for Environment, University of Vermont, Burlington, VT, USA
;10.Department of Earth and Environmental Sciences, KU Leuven, Celestijnenlaan 200E, 3001, Leuven, Belgium
;11.Chicago Botanic Garden, Glencoe, IL, USA
;12.Département de Biologie, Université de Sherbrooke, Sherbrooke, QC, J1K 2R1, Canada
;13.Department of Plant Biology, University of Vermont, Burlington, VT, 05405, USA
;14.Department of Computer Science, University of Vermont, Burlington, VT, USA
;
Abstract:

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

Keywords:
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