Personal profile
Research interests
I am a quantitative ecologist with interests in community dynamics, ecosystem functioning, sudden tipping points, and resource management. I am particularly interested in ecosystem stability, though my collaborative network is interdisciplinary and spans pure mathematics and health sciences.
Stability is the ability of an ecosystem to return to equilibrium in response to a disturbance. These disturbances could be singular pulse events like fire, or increasing press stresses like climate change. My work combines simulated datasets with long-term monitoring programs to test stability indicators and hypotheses across biological scales. Doing so ensures that proposed indicators are both practical and reliable for on-the-ground practitioners. I am currently applying these techniques to collapsing seabird populations to identify which dimensions of seabird ecology (abundance, morphology or behaviour) provide the earliest warnings of extinction.
More generally, my research focuses on:
- Stability and responses of ecosystems
- Interactions between species and their environment
- The practical prediction of tipping points
- Conservation of ecosystem functioning and services
Further information and practical examples are available at https://duncanobrien.github.io.
Keywords
- tipping points
- evolutionary ecology
- early warning signals
- aquatic
- resilience
- forecasting
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Collaborations and top research areas from the last five years
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Early warning signals have limited applicability to empirical lake data
O'Brien, D. A., Deb, S., Gal, G., Thackeray, S. J., Dutta, P. S., Matsuzaki, S.-I. S., May, L. & Clements, C. F., 1 Dec 2023, In: Nature Communications. 14, 14 p., 7942.Research output: Contribution to journal › Article (Academic Journal) › peer-review
Open AccessFile30 Citations (Scopus)86 Downloads (Pure) -
EWSmethods: an R package to forecast tipping points at the community level using early warning signals, resilience measures, and machine learning models
O'brien, D. A., Deb, S., Sidheekh, S., Krishnan, N. C., Sharathi dutta, P. & Clements, C. F., 10 Jul 2023, (E-pub ahead of print) In: Ecography. 2023, 10, e06674.Research output: Contribution to journal › Article (Academic Journal) › peer-review
Open AccessFile17 Citations (Scopus)322 Downloads (Pure) -
Early warning signal reliability varies with COVID-19 waves
O'brien, D. A. & Clements, C. F., 8 Dec 2021, In: Biology Letters. 17, 12, 7 p., 20210487.Research output: Contribution to journal › Article (Academic Journal) › peer-review
Open AccessFile27 Citations (Scopus)105 Downloads (Pure)
Datasets
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Phenotypic response to different predator strategies can be mediated by temperature: high-resolution data from protist microcosms (first release)
Cerini, F. (Creator), O'Brien, D. (Creator), Wolfe, E. (Creator), Besson, M. (Creator) & Clements, C. (Creator), Zenodo, 5 Apr 2023
DOI: 10.5281/zenodo.7801998, https://zenodo.org/record/7801998
Dataset
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Planktonic functional diversity changes in synchrony with lake ecosystem state
O'Brien, D. (Creator), Gal, G. (Creator), Thackeray, S. (Creator), Matsuzaki, S.-I. (Creator) & Clements, C. (Creator), Zenodo, 10 Oct 2022
DOI: 10.5281/zenodo.7180270, https://zenodo.org/record/7180270
Dataset
Thesis
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Complexity and regime shifts: testing the predictability of ecosystem transitions
O'Brien, D. A. (Author), Clements, C. (Supervisor) & Genner, M. (Supervisor), 7 May 2024Student thesis: Doctoral Thesis › Doctor of Philosophy (PhD)
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