Journal
SCIENCE
Volume 353, Issue 6302, Pages 922-925Publisher
AMER ASSOC ADVANCEMENT SCIENCE
DOI: 10.1126/science.aag0863
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Funding
- U.S. Department of Defense Strategic Environmental Research and Development Program [15 RC-2509]
- Lenfest Ocean Program award [00028335]
- NSF [DEB-1020372]
- McQuown Chair in the Natural Sciences
- Sugihara Family Trust
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In ecological analysis, complexity has been regarded as an obstacle to overcome. Here we present a straightforward approach for addressing complexity in dynamic interconnected systems. We show that complexity, in the form of multiple interacting components, can actually be an asset for studying natural systems from temporal data. The central idea is that multidimensional time series enable system dynamics to be reconstructed from multiple viewpoints, and these viewpoints can be combined into a single model. We show how our approach, multiview embedding (MVE), can improve forecasts for simulated ecosystems and a mesocosm experiment. By leveraging complexity, MVE is particularly effective for overcoming the limitations of short and noisy time series and should be highly relevant for many areas of science.
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