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Information leverage in interconnected ecosystems: Overcoming the curse of dimensionality
1Scripps Institution of Oceanography, University of California San Diego, 9500 Gilman Drive 0202, La Jolla, CA 92093-0202, USA.
Science (New York, N.Y.)
|August 27, 2016
Summary
Complexity in dynamic systems can be an asset, not a hurdle. Our new multiview embedding (MVE) method uses this complexity to improve ecological forecasts, especially with limited data.
Area of Science:
- Ecological analysis
- Complex systems science
- Time series analysis
Background:
- Traditionally, system complexity is viewed as a challenge in ecological analysis.
- Interconnected systems present difficulties when studying dynamics from temporal data.
Purpose of the Study:
- To present a straightforward approach for addressing complexity in dynamic interconnected systems.
- To demonstrate that complexity can be leveraged as an asset for studying natural systems.
Main Methods:
- Developed a novel method called multiview embedding (MVE).
- MVE reconstructs system dynamics by combining multiple viewpoints from multidimensional time series into a single model.
Main Results:
- MVE significantly improved forecasts for simulated ecosystems.
- The approach enhanced predictions in a mesocosm experiment.
- MVE proved effective in overcoming limitations of short and noisy time series data.
Conclusions:
- Complexity, when properly leveraged, can enhance the study of dynamic systems.
- Multiview embedding (MVE) offers a powerful tool for ecological forecasting and analysis.
- The MVE approach has broad applicability across various scientific disciplines dealing with complex temporal data.
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