Cited by 150Ecosystem dynamics and resilienceEnvironmental, Ecological, and Cultural StudiesMathematical and Theoretical Epidemiology and Ecology Models

Earlier collapse of Anthropocene ecosystems driven by multiple faster and noisier drivers

Open access
Willcock, Simon, Cooper, Gregory S., Addy, John, Dearing, John A.·2023·Nature Sustainability

Published version of a preprint

Abstract

A major concern for the world’s ecosystems is the possibility of collapse, where landscapes and the societies they support change abruptly. Accelerating stress levels, increasing frequencies of extreme events and strengthening intersystem connections suggest that conventional modelling approaches based on incremental changes in a single stress may provide poor estimates of the impact of climate and human activities on ecosystems. We conduct experiments on four models that simulate abrupt changes in the Chilika lagoon fishery, the Easter Island community, forest dieback and lake water quality—representing ecosystems with a range of anthropogenic interactions. Collapses occur sooner under increasing levels of primary stress but additional stresses and/or the inclusion of noise in all four models bring the collapses substantially closer to today by ~38–81%. We discuss the implications for further research and the need for humanity to be vigilant for signs that ecosystems are degrading even more rapidly than previously thought.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1038/s41893-023-01157-x

Cites

7 of 7 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Although most recent models agree that a large-scale collapse of the Amazon forest is unlikely within the twenty-first century, our findings suggest that interactions and synergies among different disturbances could trigger unexpected ecosystem transitions even in remote and central parts of the system.

    “Although most recent models agree that a large-scale collapse of the Amazon forest is unlikely within the twenty-first century2, our findings suggest that interactions and synergies among different disturbances (for example, frequent extreme hot droughts and forest fires) could trigger unexpected ecosystem transitions even in remote and central parts of the system101.”

    From Critical transitions in the Amazon forest system (2024) · cites this paper as [101]

    Split into 2 atoms — 0 confirmed, 2 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 31

  1. Bradshaw, C. J. A. et al. Underestimating the challenges of avoiding a ghastly future. Front. Conserv. Sci. 1, 615419 (2021).
  2. Kemp, L. et al. Climate endgame: exploring catastrophic climate change scenarios. Proc. Natl Acad. Sci. USA 119, e2108146119 (2022).
  3. Steffen, W. et al. Planetary boundaries: guiding human development on a changing planet. Science https://doi.org/10.1126/ science.1259855 (2015). · DOI · Paper page
  4. IPCC. Climate Change 2021: The Physical Science Basis (eds Masson-Delmotte, V. et al.) (Cambridge Univ. Press, 2021).
  5. Abram, N. J. et al. Connections of climate change and variability to large and extreme forest fires in southeast Australia. Commun. Earth Environ. 2, 8 (2021).
  6. Toreti, A., Cronie, O. & Zampieri, M. Concurrent climate extremes in the key wheat producing regions of the world. Sci. Rep. 9, 5493 (2019).
  7. Vogel, M. M., Hauser, M. & Seneviratne, S. I. Projected changes in hot, dry and wet extreme events' clusters in CMIP6 multi-model ensemble. Environ. Res. Lett. 15, 094021 (2020).
  8. Ashwin, P., Wieczorek, S., Vitolo, R. & Cox, P. Tipping points in open systems: bifurcation, noise-induced and rate-dependent examples in the climate system. Philos. Trans. R. Soc. A 370, 1166-1184 (2012).
  9. Cooper, G. S., Willcock, S. & Dearing, J. A. Regime shifts occur disproportionately faster in larger ecosystems. Nat. Commun. 11, 1175 (2020).
  10. Thompson, J. M. T. & Sieber, J. Predicting climate tipping as a noisy bifurcation: a review. Int. J. Bifurc. Chaos 21, 399-423 (2011).
  11. Kreyling, J., Jentsch, A. & Beier, C. Beyond realism in climate change experiments: gradient approaches identify thresholds and tipping points. Ecol. Lett. https://doi.org/10.1111/ele.12193 (2014). · DOI
  12. Filatova, T., Polhill, J. G. & van Ewijk, S. Regime shifts in coupled socio-environmental systems: review of modelling challenges and approaches. Environ. Model. Softw. 75, 333-347 (2016).
  13. Tenza, A., Pérez, I., Martínez-Fernández, J. & Giménez, A. Understanding the decline and resilience loss of a long-lived social-ecological system: insights from system dynamics. Ecol. Soc. 22, 15 (2017).
  14. Martin, R. & Schlüter, M. Combining system dynamics and agent-based modeling to analyze social-ecological interactions- an example from modeling restoration of a shallow lake. Front. Environ. Sci. 3, 66 (2015).
  15. Brandt, G. & Merico, A. The slow demise of Easter Island: insights from a modeling investigation. Front. Ecol. Evol. 3, 13 (2015).
  16. Krönke, J. et al. Dynamics of tipping cascades on complex networks. Phys. Rev. E 101, 042311 (2020).
  17. Kinzig, A. P. et al. Resilience and regime shifts: assessing cascading effects. Ecol. Soc. 11, 20 (2006).
  18. Klose, A. K., Karle, V., Winkelmann, R. & Donges, J. F. Emergence of cascading dynamics in interacting tipping elements of ecology and climate. R. Soc. Open Sci. 7, 200599 (2020).
  19. Wang, R., Dearing, J. A. & Langdon, P. G. Critical transitions in ecosystem state are driven by coupled feedback mechanisms: a case study from Erhai lake, China. Water 13, 85 (2022).
  20. Rietkerk, M. et al. Evasion of tipping in complex systems through spatial pattern formation. Science 374, 6564 (2021).
  21. Bastiaansen, R., Dijkstra, H. A. & Von Der Heydt, A. S. Fragmented tipping in a spatially heterogeneous world. Environ. Res. Lett. 17, 045006 (2022).
  22. Beven, K. A manifesto for the equifinality thesis. J. Hydrol. 320, 18-36 (2006).
  23. Reisinger, D. & Füllsack, M. Comparing equation-based and agent-based data generation methods for early warning signal analysis. Systems 8, 54 (2020).
  24. Mayfield, R. J. et al. Metrics of structural change as indicators of chironomid community stability in high latitude lakes. Quat. Sci. Rev. 249, 106594 (2020).
  25. Dietz, S., Rising, J., Stoerk, T. & Wagner, G. Economic impacts of tipping points in the climate system. Proc. Natl Acad. Sci. USA 118, e21030811 (2021).
  26. Carpenter, S. R. Eutrophication of aquatic ecosystems: bistability and soil phosphorus. Proc. Natl Acad. Sci. USA 102, 10002-10005 (2005).
  27. Huang, S., Zhang, K., Lin, Q., Liu, J. B. & Shen, J. Abrupt ecological shifts of lakes during the Anthropocene. Earth Sci. Rev. 227, 103981 (2022).
  28. IPCC. Climate Change 2013: The Physical Science Basis (eds Stocker, T. F. et al.) (Cambridge Univ. Press, 2013).
  29. Pinsky, M. L., Jensen, O. P., Ricard, D. & Palumbi, S. R. Unexpected patterns of fisheries collapse in the world's oceans. Proc. Natl Acad. Sci. USA 108, 8317-8322 (2011).
  30. Drijfhout, S. et al. Catalogue of abrupt shifts in Intergovernmental Panel on Climate Change climate models. Proc. Natl Acad. Sci. USA 112, E5777-E5786 (2015).
  31. Wickham, H. ggplot2: Elegant Graphics for Data Analysis (Springer, 2016).

Cited by

Sorted by citations

Authors
Willcock, S., Cooper, G. S., Addy, J., & Dearing, J. A.
Affiliations
  • Bangor University (GB)
  • University of Sheffield (GB)
  • Rothamsted Research (GB)
  • University of Southampton (GB)
Corresponding author
Willcock, Simon
Venue
Nature Sustainability
Published
2023-06-22
Volume
6
Issue
11
Pages
1331-1342
ISSN
2398-9629 (ISSN-L)
OpenAlex
W4381612105
Cited by
150
References
7
Citations by year
2026: 17 · 2025: 46 · 2024: 62 · 2023: 25
FWCI
15.50
Type
journal article
Language
en
Open access
Locations
  • Nature Sustainability (publishedVersion, cc-by)
  • Research Square (acceptedVersion, cc-by)
  • ePrints Soton (University of Southampton) (acceptedVersion)
  • White Rose Research Online (University of Leeds, The University of Sheffield, University of York) (acceptedVersion)
  • Rothamsted Repository (Rothamsted Repository) (acceptedVersion)
  • Rothamsted Repository (Rothamsted Repository) (submittedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
  • Bangor University Research Portal (Bangor University) (submittedVersion, other-oa)
Funders
  • UK Research and Innovation (NE/T00391X/1, NE/W005050/1, MR/S013/13X/1, BB/X010961/1)
  • Biotechnology and Biological Sciences Research Council (BBS/E/RH/230004A, BBS/E/RH/230004C, BBS/E/RH/230004B)
  • Economic and Social Research Council (ES/R009279/1)
  • Natural Environment Research Council (NE/W005050/1)
Topics
  • Physical Sciences › Environmental Science › Global and Planetary Change › Ecosystem dynamics and resilience
  • Social Sciences › Sociology and Political Science › Environmental, Ecological, and Cultural Studies
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Mathematical and Theoretical Epidemiology and Ecology Models
Keywords
ecological collapse, Anthropocene, multiple stressors, noise, extreme events, abrupt change, Easter Island, forest decline, lake water quality, ecosystem resilience, anthropogenic pressure, climate change

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review