Abstract
Rapid changes in thermal environments are threatening many species worldwide. Thermal acclimatisation processes may partially buffer species from the impacts of these changes, but currently the knowledge about the temporal dynamics of acclimatisation remains limited. Acclimatisation phenotypes are typically determined in laboratory conditions that lack the variability and stochasticity that characterize the natural environment. Through a Distributed Lag Non-linear Model (DLNM), we use field data to assess how the timing and magnitude of past thermal exposures influence thermal tolerance. We apply the model to two Scottish freshwater Ephemeroptera species living in natural thermal conditions. Model results provide evidence that rapid heat hardening effects are dramatic and reflect high rates of change in temperatures experienced over recent hours to days. In contrast, temperature change magnitude impacted acclimatisation over the course of weeks but had no impact on short term responses. Our results also indicate that individuals may de-acclimatise their heat tolerance in response to cooler environments. Based on the novel insights provided by this powerful modelling approach, we recommend its wider uptake among thermal physiologists to facilitate more nuanced insights in natural contexts, with the additional benefit of providing evidence needed to improve the design of laboratory experiments.
| Original language | English |
|---|---|
| Article number | e11451 |
| Pages (from-to) | e11451 |
| Number of pages | 15 |
| Journal | Ecology and Evolution |
| Volume | 14 |
| Issue number | 6 |
| DOIs | |
| Publication status | Published - 31 May 2024 |
Bibliographical note
AUTHORS' CONTRIBUTIONS: LTL, CG, and Adela Hrubesova conceived and designed the experiments. Adela Hrubesova, CG and LTL performed the experiments. MR implemented the DLNM and analyzed the data. MR, CG and LTL wrote the manuscript.Data Availability Statement
Original Data are available at https://doi.org/10.5061/dryad.4mw6m90gh, Associated code and step-by-step tutorials can be found at: https://github.com/monviso/Determining-Critical-Periods-for-Thermal-Accliamtion-Using-a-DLNM-approachFunding
We gratefully acknowledge Adela Hurbesova’s contribution to the field and laboratory work than underpins the DLNM analysis presented in this paper, which was funded by a Royal Society Research grant to LTL. Thanks to Thomas Cornulier and Antonio Gasparrini for the support in the early phase of the DLNM implementation. MR was supported by NERC with studentship A15775.
| Funders | Funder number |
|---|---|
| The Royal Society | |
| Natural Environment Research Council (NERC) | A15775 |
Keywords
- CTmax
- distributed lag non-linear models
- ectotherms
- thermal acclimation
- thermal history
Fingerprint
Dive into the research topics of 'Determining Critical Periods for Thermal Acclimatisation Using a Distributed Lag Non-linear Modelling Approach'. Together they form a unique fingerprint.Datasets
-
Data from: Determining critical periods for thermal acclimatisation using a Distributed Lag Non-linear Modelling approach
Redana, M. (Creator), Gibbins, C. (Creator) & Lancaster, L. (Creator), DRYAD, 15 May 2024
DOI: 10.5061/dryad.cnp5hqcd4, https://datadryad.org/dataset/doi:10.5061/dryad.cnp5hqcd4
Dataset
Cite this
- APA
- Standard
- Harvard
- Vancouver
- Author
- BIBTEX
- RIS