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Detecting Causality in Complex Ecosystems
Abstract
Cause or Correlation?: Three centuries ago, Bishop Berkeley's 1710 classic “A treatise on the nature of human knowledge,” first spelled out the “correlation vs. causation” dilemma. Sugihara et al. (p. 496 , published online 20 September) present an approach to this conundrum, and extend current discussions about causation to dynamic systems with weak to moderate coupling (such as ecosystems). The resulting method, convergent cross mapping can detect causal linkages between time series.
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Cites
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Self-citationWorldwide large-scale fluctuations of sardine and anchovy populations
Schwartzlose, R. A., Alheit, J., Bakun, A., Baumgartner, T. R., Cloete, R., Crawford, R. J. M., Fletcher, W. J., Green-Ruiz, Y., Hagen, E., Kawasaki, T., et al. (1999) · South African Journal of Marine Science · doi:10.2989/025776199784125962 · Cited by 548
ENSO and cholera: A nonstationary link related to climate change?
Rodó, X., Pascual, M., Fuchs, G., & Faruque, A. S. G. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.182203999 · Cited by 343
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Current understanding of the human microbiome
Gilbert, J. A., Blaser, M. J., Caporaso, J. G., Jansson, J. K., Lynch, S. V., & Knight, R. (2018) · Nature Medicine · doi:10.1038/nm.4517 · Cited by 2,609
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Rudy, S. H., Brunton, S. L., Proctor, J. L., & Kutz, J. N. (2017) · Science Advances · doi:10.1126/sciadv.1602614 · Cited by 1,557
Detecting and quantifying causal associations in large nonlinear time series datasets
Runge, J., Nowack, P., Kretschmer, M., Flaxman, S., & Sejdinovic, D. (2019) · Science Advances · doi:10.1126/sciadv.aau4996 · Cited by 979
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Metadata
- Authors
- Sugihara, G., May, R., Ye, H., Hsieh, C.-H., Deyle, E., Fogarty, M., & Munch, S.
- Venue
- Science
- Published
- 2012-10-26
- Volume
- 338
- Issue
- 6106
- Pages
- 496-500
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2083278075
- Cited by
- 2,539
- References
- 7
- FWCI
- 49.28
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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