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Lookup NU author(s): Dr Rafael Raimundo,
Professor Darren Evans
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND).
The urgent need to restore biodiversity and ecosystem functioning challenges Ecology as a predictive science. Restoration Ecology would benefit from evolutionary principles embedded within a framework that combines adaptive network models and the phylogenetic structure of ecological interactions. Adaptive network models capture feedbacks between trait evolution, species abundances and interactions to explain resilience and functional diversity within communities. Phylogenetically-structured network data, increasingly available via Next-Generation Sequencing, inform constraints affecting interaction rewiring. Combined, these approaches can predict eco-evolutionary changes triggered by community manipulation practices, such as translocations and eradications of invasive species. We discuss theoretical and methodological opportunities to bridge network models and data from restoration projects and propose how this can be applied to the functional restoration of ecological interactions.
Author(s): Raimundo RLG, Guimarães PR, Evans DM
Publication type: Article
Publication status: Published
Journal: Trends in Ecology and Evolution
Print publication date: 01/09/2018
Online publication date: 11/07/2018
Acceptance date: 12/06/2018
Date deposited: 20/06/2018
ISSN (print): 0169-5347
ISSN (electronic): 1872-8383
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