Quantifying resilience of humans and other animals

Marten Scheffer; J. Elizabeth Bolhuis; Denny Borsboom; Timothy G. Buchman; Sanne M.W. Gijzel; Dave Goulson; Jan E. Kammenga; Bas Kemp; Ingrid A. van de Leemput; Simon Levin; Carmel Mary Martin; René J.F. Melis; Egbert H. van Nes; L. Michael Romero; Marcel G.M. Olde Rikkert

doi:10.1073/pnas.1810630115

Quantifying resilience of humans and other animals

Marten Scheffer, J. Elizabeth Bolhuis, Denny Borsboom, Timothy G. Buchman, Sanne M.W. Gijzel, Dave Goulson, Jan E. Kammenga, Bas Kemp, Ingrid A. van de Leemput, Simon Levin, Carmel Mary Martin, René J.F. Melis, Egbert H. van Nes, L. Michael Romero, Marcel G.M. Olde Rikkert

Research output: Contribution to journal › Review Article › Research › peer-review

219 Citations (Scopus)

Abstract

All life requires the capacity to recover from challenges that are as inevitable as they are unpredictable. Understanding this resilience is essential for managing the health of humans and their livestock. It has long been difficult to quantify resilience directly, forcing practitioners to rely on indirect static indicators of health. However, measurements from wearable electronics and other sources now allow us to analyze the dynamics of physiology and behavior with unsurpassed resolution. The resulting flood of data coincides with the emergence of novel analytical tools for estimating resilience from the pattern of microrecoveries observed in natural time series. Such dynamic indicators of resilience may be used to monitor the risk of systemic failure across systems ranging from organs to entire organisms. These tools invite a fundamental rethinking of our approach to the adaptive management of health and resilience.

Original language	English
Pages (from-to)	11883-11890
Number of pages	8
Journal	Proceedings of the National Academy of Sciences of the United States of America
Volume	115
Issue number	47
DOIs	https://doi.org/10.1073/pnas.1810630115
Publication status	Published - 20 Nov 2018
Externally published	Yes

Keywords

Aging
Health
Livestock
Resilience
Tipping points

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10.1073/pnas.1810630115Licence: CC BY-NC-ND

287071540-oaFinal published version, 750 KBLicence: CC BY-NC-ND

Cite this

Scheffer, M., Elizabeth Bolhuis, J., Borsboom, D., Buchman, T. G., Gijzel, S. M. W., Goulson, D., Kammenga, J. E., Kemp, B., van de Leemput, I. A., Levin, S., Martin, C. M., Melis, R. J. F., van Nes, E. H., Michael Romero, L., & Olde Rikkert, M. G. M. (2018). Quantifying resilience of humans and other animals. Proceedings of the National Academy of Sciences of the United States of America, 115(47), 11883-11890. https://doi.org/10.1073/pnas.1810630115

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abstract = "All life requires the capacity to recover from challenges that are as inevitable as they are unpredictable. Understanding this resilience is essential for managing the health of humans and their livestock. It has long been difficult to quantify resilience directly, forcing practitioners to rely on indirect static indicators of health. However, measurements from wearable electronics and other sources now allow us to analyze the dynamics of physiology and behavior with unsurpassed resolution. The resulting flood of data coincides with the emergence of novel analytical tools for estimating resilience from the pattern of microrecoveries observed in natural time series. Such dynamic indicators of resilience may be used to monitor the risk of systemic failure across systems ranging from organs to entire organisms. These tools invite a fundamental rethinking of our approach to the adaptive management of health and resilience.",

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author = "Marten Scheffer and {Elizabeth Bolhuis}, J. and Denny Borsboom and Buchman, {Timothy G.} and Gijzel, {Sanne M.W.} and Dave Goulson and Kammenga, {Jan E.} and Bas Kemp and {van de Leemput}, {Ingrid A.} and Simon Levin and Martin, {Carmel Mary} and Melis, {Ren{\'e} J.F.} and {van Nes}, {Egbert H.} and {Michael Romero}, L. and {Olde Rikkert}, {Marcel G.M.}",

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doi = "10.1073/pnas.1810630115",

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Scheffer, M, Elizabeth Bolhuis, J, Borsboom, D, Buchman, TG, Gijzel, SMW, Goulson, D, Kammenga, JE, Kemp, B, van de Leemput, IA, Levin, S, Martin, CM, Melis, RJF, van Nes, EH, Michael Romero, L & Olde Rikkert, MGM 2018, 'Quantifying resilience of humans and other animals', Proceedings of the National Academy of Sciences of the United States of America, vol. 115, no. 47, pp. 11883-11890. https://doi.org/10.1073/pnas.1810630115

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AU - Scheffer, Marten

AU - Elizabeth Bolhuis, J.

AU - Borsboom, Denny

AU - Buchman, Timothy G.

AU - Gijzel, Sanne M.W.

AU - Goulson, Dave

AU - Kammenga, Jan E.

AU - Kemp, Bas

AU - van de Leemput, Ingrid A.

AU - Levin, Simon

AU - Martin, Carmel Mary

AU - Melis, René J.F.

AU - van Nes, Egbert H.

AU - Michael Romero, L.

AU - Olde Rikkert, Marcel G.M.

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AB - All life requires the capacity to recover from challenges that are as inevitable as they are unpredictable. Understanding this resilience is essential for managing the health of humans and their livestock. It has long been difficult to quantify resilience directly, forcing practitioners to rely on indirect static indicators of health. However, measurements from wearable electronics and other sources now allow us to analyze the dynamics of physiology and behavior with unsurpassed resolution. The resulting flood of data coincides with the emergence of novel analytical tools for estimating resilience from the pattern of microrecoveries observed in natural time series. Such dynamic indicators of resilience may be used to monitor the risk of systemic failure across systems ranging from organs to entire organisms. These tools invite a fundamental rethinking of our approach to the adaptive management of health and resilience.

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KW - Health

KW - Livestock

KW - Resilience

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Quantifying resilience of humans and other animals

Abstract

Keywords

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