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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4427503 | PMC |
| http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0128469 | PLOS |
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Ethical Agents, Manukau, New Zealand.
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Sci Total Environ
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The complex interplay among plants, microbes, and the environment strongly affects productivity of vegetation ecosystems; however, determining causal relationships among various factors in these systems remains challenging. To address this issue, this study aimed to evaluate the potential of a data analytical framework called empirical dynamic modeling, which identifies causal links and directions solely from time series data. By cultivating duckweed, a promising aquatic plant for biomass production and wastewater treatment, we obtained a 63-day time series data of plant productivity, microbial community structure, wastewater treatment performance, and environmental factors.
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