Integrating intraspecific trait variability in functional diversity: An overview of methods and a guide for ecologists

Abstract Variability in traits within species (intraspecific trait variability; ITV) has attracted increased interest in functional ecology, as it can profoundly influence the detection of functional trait patterns, calculations of functional diversity (FD), and assessments of ecosystem functioning. This interest stems from the recognition that species are not homogeneous entities but rather mosaics of individuals with varying trait values. Since multiple methods have emerged to explicitly incorporate ITV into FD calculations, accurate estimates and meaningful interpretations of FD would benefit from a more explicit methodological framework to account for ITV. Some methods treat individuals as the unit of analysis, while others characterize trait distributions around species means. Ecologists navigating this landscape of methods may face challenges in selecting the most appropriate approach to address their research questions, which also depend on data availability. Here, we synthesize the current literature to provide guidelines regarding how and when to use the various available methods to quantify ITV in biological systems and integrate it within FD. We also provide a toolbox to calculate the presented metrics in the form of implemented R code. As a case study, we computed correlations between FD metrics on simulated assemblages with varying degrees of trait variability. Our findings suggest that the choice of FD metric should be guided primarily by the ecological question being addressed and, to a lesser extent, by the number and types of traits, although the type of data available might also impose some limitations. Simulations revealed strong correlations among FD metrics that account for ITV, particularly those indicating the size of the occupied functional trait space. Furthermore, ITV seems to be more important for increasing the functional volume than between‐species variability, while regularity metrics (how even species abundances are distributed in the functional trait space) were nearly insensitive to changes in between‐ or within‐species variability. As evidence accumulates and shows how ITV is key to shaping species' fitness and distributions as well as affecting ecosystem functioning, this synthesis will serve as a conceptual and practical tool ideally inspiring and guiding researchers to integrate ITV in FD analyses.

Authors

Institutions

Publication Details

Journal
Ecological Monographs
Published
2025-05-01
DOI
https://doi.org/10.1002/ecm.70024
Citations
8
Primary Topic
Ecology and Vegetation Dynamics Studies
Type
article
Field-Weighted Citation Impact
18.51

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Integrating intraspecific trait variability in functional diversity: An overview of methods and a guide for ecologists

Francesco de Bello, Facundo X. Palacio, Stefano Mammola, Gianluigi Ottaviani et al.
8 citations
Ecological Monographs
Ecology and Vegetation Dynamics Studies
18.51
article

Integrating intraspecific trait variability in functional diversity: An overview of methods and a guide for ecologists

Francesco de Bello, Facundo X. Palacio, Stefano Mammola, Gianluigi Ottaviani, Caio Graco‐Roza, Carlos P. Carmona
article en
8 citations

Abstract

Abstract Variability in traits within species (intraspecific trait variability; ITV) has attracted increased interest in functional ecology, as it can profoundly influence the detection of functional trait patterns, calculations of functional diversity (FD), and assessments of ecosystem functioning. This interest stems from the recognition that species are not homogeneous entities but rather mosaics of individuals with varying trait values. Since multiple methods have emerged to explicitly incorporate ITV into FD calculations, accurate estimates and meaningful interpretations of FD would benefit from a more explicit methodological framework to account for ITV. Some methods treat individuals as the unit of analysis, while others characterize trait distributions around species means. Ecologists navigating this landscape of methods may face challenges in selecting the most appropriate approach to address their research questions, which also depend on data availability. Here, we synthesize the current literature to provide guidelines regarding how and when to use the various available methods to quantify ITV in biological systems and integrate it within FD. We also provide a toolbox to calculate the presented metrics in the form of implemented R code. As a case study, we computed correlations between FD metrics on simulated assemblages with varying degrees of trait variability. Our findings suggest that the choice of FD metric should be guided primarily by the ecological question being addressed and, to a lesser extent, by the number and types of traits, although the type of data available might also impose some limitations. Simulations revealed strong correlations among FD metrics that account for ITV, particularly those indicating the size of the occupied functional trait space. Furthermore, ITV seems to be more important for increasing the functional volume than between‐species variability, while regularity metrics (how even species abundances are distributed in the functional trait space) were nearly insensitive to changes in between‐ or within‐species variability. As evidence accumulates and shows how ITV is key to shaping species' fitness and distributions as well as affecting ecosystem functioning, this synthesis will serve as a conceptual and practical tool ideally inspiring and guiding researchers to integrate ITV in FD analyses.

Ecological MonographsVol. 95(2)
University of Helsinki (FI), Consejo Nacional de Investigaciones Científicas y Técnicas (AR), University of South Bohemia in České Budějovice (CZ), Centre d'Investigacions sobre Desertificació (ES), Water Research Institute (IT), Finnish Museum of Natural History (FI), National Research Council (IT), University of Tartu (EE), Universidad Nacional de La Plata (AR), University of Palermo (IT)
Helsingin Yliopisto, American Ornithological Society, Association of Field Ornithologists, European Commission, Eesti Teadusagentuur, Consejo Nacional de Investigaciones Científicas y Técnicas, Ministerio de Ciencia e Innovación, European Regional Development Fund
Openalex Percentile: Top 1%
Ecology and Vegetation Dynamics Studies
18.51
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.