Published

A probabilistic framework for Windows of Opportunity: the role of temporal variability in critical transitions_supplementary material Version 6

Royal Netherlands Institute for Sea Research https://doi.org/10.25850/nioz/7b.b.3c

The establishment of young organisms in harsh environments often requires a Window of Opportunity (WoO). That is, a short time window in which environmental conditions drop long enough below the hostile average level, giving the organism time to develop tolerance and transition into stable existence. It has been suggested that this kind of establishment dynamics is a noise-induced transition between two alternate states. Understanding how temporal variability (i.e., noise) in environmental conditions affects establishment of organisms is therefore key, yet not well understood or included explicitly in the WoO framework. In this paper we develop a coherent theoretical framework for understanding when WoO open or close based on simple dichotomous environmental variation. We reveal that understanding of the intrinsic time scales of both the developing organism and the environment is fundamental to predict if organisms can or cannot establish. These insights have allowed us to develop statistical laws for predicting establishment probabilities based on the period and variance of the fluctuations in naturally variable environments. Based on this framework we now get a clear understanding of how changes in the timing and magnitude of climate variability or management can mediate establishment chances.

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Subject Earth and Environmental Sciences
DAS Code 7b.b.3c
Source https://dataportal.nioz.nl/doi/10.25850/nioz/7b.b.3c
Version 6
Creator(s)
van Belzen, Jim (Royal Netherlands Institute for Sea Research)
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Fivash, Greg (Royal Netherlands Institute for Sea Research)
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Hu, Zhan (Sun Yat-Sen University)
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Bouma, Tjeerd (Royal Netherlands Institute for Sea Research)
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Herman, Peter (Delft University of Technology)
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Depositor Jim van Belzen
Publication Date 2022-03-31
Deposit Date 2022-01-14
Dataset Persistent Identifier DOI:10.25850/nioz/7b.b.3c
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Contributor NIOZ Royal Netherlands Institute for Sea Research
Distributor Research Data Management(NIOZ Royal Netherlands Institute for Sea Research)
Distribution Date 2022-01-14
Production Date 2022-03-31
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