Adaptive Networks for Restoration Ecology

Trends in Ecology & Evolution
Rafael L G RaimundoDarren M Evans

Abstract

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.

Citations

Oct 23, 2018·Molecular Ecology·Stephane A P DeroclesDarren M Evans
Dec 13, 2019·Ecological Applications : a Publication of the Ecological Society of America·Paula María Montoya-PfeifferIsabel Alves Dos Santos
Apr 15, 2020·Nature Ecology & Evolution·David Moreno-MateosDaniel Montoya
Nov 24, 2019·Scientific Reports·Alistair John CampbellTereza Cristina Giannini
Jun 28, 2019·Ecology Letters·Fernanda S Valdovinos
Nov 28, 2020·Molecular Ecology Resources·Didac Barroso-BergadàCorinne Vacher
May 25, 2021·The Journal of Animal Ecology·Matthew A Barbour, Jean P Gibert
Jul 27, 2021·Ecology and Evolution·Shuran Cindy WangHongzhu Wang

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