Data from: Warming and predation drive rapid evolution of ecosystem functioning but not functional traits
Data files
Sep 21, 2026 version files 216.20 KB
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Data_respirometry_Asellus2025.csv
213.84 KB
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README.md
2.36 KB
Abstract
Global environmental change can rapidly reshape phenotypic trait distributions through adaptive and neutral processes. Yet, disentangling their relative contributions remains a major challenge, particularly for traits underpinning ecosystem functioning. Using a two-year mesocosm study, we experimentally evolved Asellus aquaticus under contrasting temperature and predation regimes to test how the joint influence of these global change pressures shape the evolution of traits and ecosystem functioning. We show that classic functional traits (body size and metabolic rate) showed no evidence of divergent evolution across evolutionary conditions, while ecosystem function itself, namely decomposition rate, has evolved rapidly and differently depending on evolutionary conditions, with the highest decomposition rate observed for Asellus populations exposed to high temperatures in the absence of their predator. A Pst/Fst comparison revealed that divergence in metabolic rate among evolutionary conditions was mainly driven by genetic drift, whereas, for body mass and decomposition rate, non-neutral processes (natural selection and/or plasticity) were also involved, albeit in a different way. By demonstrating that predation and temperature can influence the evolution of an ecosystem function over a few generations, this study represents an important first step toward uncovering the combined effects of global change on the eco-evolutionary dynamics of ecosystems.
Dataset DOI: 10.5061/dryad.k6djh9wpg
GENERAL INFORMATION
1. Description
The analyses of this research compendium are described in: "Warming and predation drive rapid evolution of ecosystem functioning but not functional traits".
Article DOI: https://doi.org/10.1002/oik.12621
2. Author information and main investigator:
Name: Laure Olazcuaga
Institution: INRAE, GenPhySE; CNRS, SETE
Email: laure.olazcuaga@inrae.fr
ORCID: 0000-0001-9100-1305
For the complete list of authors of the manuscript, see the manuscript.
3. Date and geographic location of data collection
Experimental populations evolved from spring 2019 to winter 2022 (44 months, ~6-8 generations, assuming two generations per year), under one of the four contrasting evolutionary conditions.
In December 2022, individuals from the experimental populations were sampled and transferred to a common garden prior to data collection.
The experiment took place in the SETE station (CNRS, Moulis, France).
4. Funding sources that supported the collection of the data
Data collection was supported by ANR, FRAIB and OFB.
5. Recommended citation for this dataset:
Olazcuaga et al. (2026), Data from Dryad, Dataset
CONTENTS
Data and file overview
Data file: Data_respirometry_Asellus2025.csv
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Number of variables: 12
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Number of cases/rows: 2237
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Variable List:
ID: Measurement ID (population, temperature, individuals)
ID_photo: Photo ID
Reader: Respirometry reader ID: 727 or 715 (no unit)
Round: Round of the measurements; 1, 2, or 3
PopInd: Population and Individual ID
Pop: Population ID
TempExp: Temperature experimental (categorical); Label from T5 to T30
TempExpNum: Temperature experimental (numerical); [5:30] in °C
Tpop: Temperature - Evolutionary conditions; Ambiant or Warm for ambient or a warming treatment of +3 °C
Predpop: Predation - Evolutionary conditions; Ctrl or Pred for control or a predator treatment
Slope: Slope of respirometry ; [-0.50:0.5] (no unit)
r2: r2 associated of the slope ; [0:1] (no unit) -
Missing data codes:
NA -
Abbreviations used:
NA; not applicable
