Flickering gives early warning signals of a critical transition to a eutrophic lake state
Flickering gives early warning signals of a critical transition to a eutrophic lake state
There is a recognized need to anticipate tipping points, or critical transitions, in social-ecological systems. Studies of mathematical and experimental systems have shown that systems may 'wobble' before a critical transition. Such early warning signals may be due to the phenomenon of critical slowing down, which causes a system to recover slowly from small impacts, or to a flickering phenomenon, which causes a system to switch back and forth between alternative states in response to relatively large impacts. Such signals for transitions in social-ecological systems have rarely been observed, not the least because high-resolution time series are normally required. Here we combine empirical data from a lake-catchment system with a mathematical model and show that flickering can be detected from sparse data. We show how rising variance coupled to decreasing autocorrelation and skewness started 10-30 years before the transition to eutrophic lake conditions in both the empirical records and the model output, a finding that is consistent with flickering rather than critical slowing down. Our results suggest that if environmental regimes are sufficiently affected by large external impacts that flickering is induced, then early warning signals of transitions in modern social-ecological systems may be stronger, and hence easier to identify, than previously thought.
419-422
Wang, Rong
fd4ca2d0-78f2-40c2-aad1-355e7f3f3022
Dearing, John A.
dff37300-b8a6-4406-ad84-89aa01de03d7
Langdon, Peter G.
95b97671-f9fe-4884-aca6-9aa3cd1a6d7f
Zhang, Enlou
53b50c45-bb12-4d5f-86e4-e656d44bcfa1
Yang, Xiangdong
7ecb5c8e-22cb-4f65-829d-8b3442dc6529
Dakos, Vasilis
eb3965f9-38da-4633-86c8-c616f91b0a49
Scheffer, Marten
301152fb-c43d-4e06-85f3-e9fb9bfa4ba2
18 November 2012
Wang, Rong
fd4ca2d0-78f2-40c2-aad1-355e7f3f3022
Dearing, John A.
dff37300-b8a6-4406-ad84-89aa01de03d7
Langdon, Peter G.
95b97671-f9fe-4884-aca6-9aa3cd1a6d7f
Zhang, Enlou
53b50c45-bb12-4d5f-86e4-e656d44bcfa1
Yang, Xiangdong
7ecb5c8e-22cb-4f65-829d-8b3442dc6529
Dakos, Vasilis
eb3965f9-38da-4633-86c8-c616f91b0a49
Scheffer, Marten
301152fb-c43d-4e06-85f3-e9fb9bfa4ba2
Wang, Rong, Dearing, John A., Langdon, Peter G., Zhang, Enlou, Yang, Xiangdong, Dakos, Vasilis and Scheffer, Marten
(2012)
Flickering gives early warning signals of a critical transition to a eutrophic lake state.
Nature, 20 Dec 2012 (492), .
(doi:10.1038/nature11655).
(PMID:23160492)
Abstract
There is a recognized need to anticipate tipping points, or critical transitions, in social-ecological systems. Studies of mathematical and experimental systems have shown that systems may 'wobble' before a critical transition. Such early warning signals may be due to the phenomenon of critical slowing down, which causes a system to recover slowly from small impacts, or to a flickering phenomenon, which causes a system to switch back and forth between alternative states in response to relatively large impacts. Such signals for transitions in social-ecological systems have rarely been observed, not the least because high-resolution time series are normally required. Here we combine empirical data from a lake-catchment system with a mathematical model and show that flickering can be detected from sparse data. We show how rising variance coupled to decreasing autocorrelation and skewness started 10-30 years before the transition to eutrophic lake conditions in both the empirical records and the model output, a finding that is consistent with flickering rather than critical slowing down. Our results suggest that if environmental regimes are sufficiently affected by large external impacts that flickering is induced, then early warning signals of transitions in modern social-ecological systems may be stronger, and hence easier to identify, than previously thought.
This record has no associated files available for download.
More information
Published date: 18 November 2012
Organisations:
Geography & Environment
Identifiers
Local EPrints ID: 345379
URI: http://eprints.soton.ac.uk/id/eprint/345379
ISSN: 0028-0836
PURE UUID: d7a2e140-1f0a-4f6d-b4e9-7a4497e7f71a
Catalogue record
Date deposited: 20 Nov 2012 16:25
Last modified: 15 Mar 2024 03:19
Export record
Altmetrics
Contributors
Author:
Rong Wang
Author:
Enlou Zhang
Author:
Xiangdong Yang
Author:
Vasilis Dakos
Author:
Marten Scheffer
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics