Trait-based ecology at large scales: Assessing functional trait correlations, phylogenetic constraints and spatial variability using open data

Martin Wilkes, Francois Edwards, Iwan Jones, John Murphy, Judy England, Nikolai Friberg, Daniel Hering, N. Leroy Poff, Philippe Usseglio-Polatera, Wilco Verberk, Jon Webb, Lee Brown

    Research output: Contribution to journalArticlepeer-review

    10 Citations (Scopus)
    21 Downloads (Pure)

    Abstract

    The growing use of functional traits in ecological research has brought new insights into biodiversity responses to global environmental change. However, further progress depends on overcoming three major challenges involving (a) statistical correlations between traits, (b) phylogenetic constraints on the combination of traits possessed by any single species, and (c) spatial effects on trait structure and trait–environment relationships. Here, we introduce a new framework for quantifying trait correlations, phylogenetic constraints and spatial variability at large scales by combining openly available species’ trait, occurrence and phylogenetic data with gridded, high-resolution environmental layers and computational modelling. Our approach is suitable for use among a wide range of taxonomic groups inhabiting terrestrial, marine and freshwater habitats. We demonstrate its application using freshwater macroinvertebrate data from 35 countries in Europe. We identified a subset of available macroinvertebrate traits, corresponding to a life-history model with axes of resistance, resilience and resource use, as relatively unaffected by correlations and phylogenetic constraints. Trait structure responded more consistently to environmental variation than taxonomic structure, regardless of location. A re-analysis of existing data on macroinvertebrate communities of European alpine streams supported this conclusion, and demonstrated that occurrence-based functional diversity indices are highly sensitive to the traits included in their calculation. Overall, our findings suggest that the search for quantitative trait–environment relationships using single traits or simple combinations of multiple traits is unlikely to be productive. Instead, there is a need to embrace the value of conceptual frameworks linking community responses to environmental change via traits which correspond to the axes of life-history models. Through a novel integration of tools and databases, our flexible framework can address this need.

    Original languageEnglish
    Pages (from-to)7255-7267
    Number of pages13
    JournalGlobal Change Biology
    Volume26
    Issue number12
    Early online date8 Sep 2020
    DOIs
    Publication statusPublished - Dec 2020

    Keywords

    • ecological niche modelling
    • functional traits
    • life history
    • macroecology
    • phylogenetics
    • spatial ecology
    • trait-based ecology

    ASJC Scopus subject areas

    • Global and Planetary Change
    • Environmental Chemistry
    • Ecology
    • Environmental Science(all)

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