Kerry A. Brown
Trait-based approaches as ecological time machines: Developing tools for reconstructing long-term variation in ecosystems
Brown, Kerry A.; Bunting, M. Jane; Carvalho, Fabio; de Bello, Francesco; Mander, Luke; Marcisz, Katarzyna; Mottl, Ondrej; Reitalu, Triin; Svenning, Jens Christian
Authors
Dr Jane Bunting M.J.Bunting@hull.ac.uk
Reader in Geography
Fabio Carvalho
Francesco de Bello
Luke Mander
Katarzyna Marcisz
Ondrej Mottl
Triin Reitalu
Jens Christian Svenning
Abstract
Research over the past decade has shown that quantifying spatial variation in ecosystem properties is an effective approach to investigating the effects of environmental change on ecosystems. Yet, current consensus among scientists is that we need a better understanding of short- and long-term (temporal) variation in ecosystem properties to plan effective ecosystem management and predict future ecologies. Trait-based approaches can be used to reconstruct ecosystem properties from long-term ecological records and contribute significantly to developing understandings of ecosystem change over decadal to millennial time-scales. Here, we synthesise current trait-based approaches and explore how organisms' functional traits (FTs) can be scaled across time and space. We propose a framework for reconstructing long-term variation in ecosystems by means of analysing FTs derived from palaeoecological datasets. We then summarise challenges that must be overcome to reconcile trait-based approaches with palaeo-datasets. Finally, we discuss the benefits and limitations of trait-based reconstructions of ecosystem temporal dynamics and suggest future directions for research. Reconstructing environmental properties through time vis-à-vis FTs can be separated into two parts. The first is to record trait data for organisms present in modern ecosystems, and the second is to reconstruct temporal variability in FTs from palaeoecological datasets, capturing changes in trait composition over time. Translating palaeoecological datasets into FTs is challenging due to taphonomic, taxonomic and chronological uncertainties, as well as uniformitarian assumptions. Explicitly identifying and addressing these challenges is important to effectively calculate changes in FT through time. Palaeo-trait research offers insights into questions related to short- and long-term ecosystem functioning, environmental change and extinction and community assembly rules across time. As work in this area matures, we expect that trait-based approaches integrating palaeoecology and neo-ecology will improve understanding of past ecologies and provide a deeper insight of their implications for present-day and future ecosystem management and conservation. Read the free Plain Language Summary for this article on the Journal blog.
Citation
Brown, K. A., Bunting, M. J., Carvalho, F., de Bello, F., Mander, L., Marcisz, K., …Svenning, J. C. (2023). Trait-based approaches as ecological time machines: Developing tools for reconstructing long-term variation in ecosystems. Functional ecology, https://doi.org/10.1111/1365-2435.14415
Journal Article Type | Review |
---|---|
Acceptance Date | Jul 20, 2023 |
Online Publication Date | Aug 22, 2023 |
Publication Date | 2023 |
Deposit Date | Sep 26, 2023 |
Publicly Available Date | Sep 26, 2023 |
Journal | Functional Ecology |
Electronic ISSN | 0269-8463 |
Publisher | Wiley |
Peer Reviewed | Peer Reviewed |
DOI | https://doi.org/10.1111/1365-2435.14415 |
Keywords | Functional diversity; Macrofossils; Microfossils; Neo-ecology; Palaeoecological proxies; Palaeoecology; Quaternary; Species equivalents |
Public URL | https://hull-repository.worktribe.com/output/4400059 |
Files
Published article
(1.8 Mb)
PDF
Publisher Licence URL
http://creativecommons.org/licenses/by/4.0
Copyright Statement
© 2023 The Authors. Functional Ecology published by John Wiley & Sons Ltd on behalf of British Ecological Society.
This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
You might also like
Editorial: Teaching palaeosciences to future generations
(2022)
Journal Article
Landscapes for Neolithic people in Mainland, Orkney
(2022)
Journal Article
Downloadable Citations
About Repository@Hull
Administrator e-mail: repository@hull.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search