Extraction of a weak climatic signal by an ecosystem
Abstract
The complexity of ecosystems can cause subtle and chaotic responses to changes in external forcing. Although ecosystems may not normally behave chaotically, sensitivity to external influences associated with nonlinearity can lead to amplification of climatic signals. Strong correlations between an El Niño index and rainfall and maize yield in Zimbabwe have been demonstrated; the correlation with maize yield was stronger than that with rainfall. A second example is the 100,000-year ice-age cycle, which may arise from a weak cycle in radiation through its influence on the concentration of atmospheric CO2 (ref. 5). Such integration of a weak climatic signal has yet to be demonstrated in a realistic theoretical system. Here we use a particular climatic phenomenon-the observed association between plankton populations around the UK and the position of the Gulf Stream-as a probe to demonstrate how a detailed marine ecosystem model extracts a weak signal that is spread across different meteorological variables. Biological systems may therefore respond to climatic signals other than those that dominate the driving variables.
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Changes in upper trophic level marine species may be amplified in comparison to changes in lower trophic levels.
“However, changes in these species may be amplified in comparison to changes in lower trophic levels [97,98]”
From Anticipated Effects of Climate Change on Coastal Upwelling Ecosystems (2015) · cites this paper as [97]
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Anticipated Effects of Climate Change on Coastal Upwelling Ecosystems
Bakun, A., Black, B. A., Bograd, S. J., García-Reyes, M., Miller, A. J., Rykaczewski, R. R., & Sydeman, W. J. (2015) · Current Climate Change Reports · doi:10.1007/s40641-015-0008-4 · Cited by 470 · see citing works
- Authors
- Taylor, A. H., Allen, J. I., & Clark, P. A.
- Affiliations
- Plymouth Marine Laboratory (GB)
- University of Sussex (GB)
- Corresponding author
- Taylor, Arnold H.
- ORCID
- Taylor, Arnold H.
- Venue
- Nature
- Published
- 2002-04
- Volume
- 416
- Issue
- 6881
- Pages
- 629-632
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W1964964907
- Cited by
- 196
- References
- 0
- Citations by year
- 2026: 4 · 2025: 5 · 2024: 9 · 2023: 5 · 2022: 14 · 2021: 7 · 2020: 9 · 2019: 9 · 2018: 6 · 2017: 5 · 2016: 10 · 2015: 7 · 2014: 6 · 2013: 10 · 2012: 9
- FWCI
- 9.73
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- National Science Foundation
- Consejo Nacional de Ciencia y Tecnología
- Dirección General de Asuntos del Personal Académico, Universidad Nacional Autónoma de México
- Division of Ocean Sciences
- Topics
- Physical Sciences › Environmental Science › Global and Planetary Change › Climate variability and models
- Physical Sciences › Environmental Science › Global and Planetary Change › Ecosystem dynamics and resilience
- Physical Sciences › Earth and Planetary Sciences › Oceanography › Marine and coastal ecosystems
- Keywords
- climate-ecosystem interactions, plankton populations, marine ecosystem models, El Niño, maize yield, rainfall, ice age cycles, atmospheric CO2, nonlinear sensitivity
- MeSH terms
- Animals, Climate, Computer Simulation, Fresh Water, United Kingdom, Models, Biological, Oceans and Seas, Plankton, Seawater, Temperature, Water Movements, Ecosystem, Biomass
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