Author

Y. Osada

Primary ORCID profile (0000-0001-5967-194X · 2 papers)Unclaimed ORCID profile · follow to get notified of new preprints

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Y. OsadaiD2 papers · Tohoku University

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:ecology & biodiversity· 2 Research Focus:benchmarking· 1 Assay:metagenomics· 1 Organism:virus· 1

Frequent Co-Authors

M. Ushio· 2 shared A. Kasai· 1 shared H. Murakami· 1 shared K. Fukaya· 1 shared K. Michio· 1 shared K. Minami· 1 shared K. Miyashita· 1 shared M. Kondoh· 1 shared

Activity by Year

2018-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 23 mutual co-author links

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2 shared papersEcology

M. Ushio

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3 papers

Recent·Most cited

Unified understanding of nonparametric causality detection in time series

Y. Osada, M. Ushio, K. Michio

This paper introduces a new nonparametric causality test, UIC, that outperforms existing methods in detecting causality in time series data.

bioRxiv · Apr 20, 2023 · PreprintEcology

Dynamic and synergistic influences of air temperature and rainfall on general flowering in a Bornean lowland tropical forest

M. Ushio, Y. Osada, T. Kumagai, T. Kume, R. Sylvester Pungga, T. Nakashizuka, T. Itioka, S. Sakai

The paper analyzes 17 years of phenology data from a Bornean tropical forest to show that general flowering is driven by cumulative cool temperature and drought, with changing relationships over time.

bioRxiv · Mar 13, 2019Ecology

Estimating fish population abundance by integrating quantitative data on environmental DNA and hydrodynamic modelling

K. Fukaya, H. Murakami, S. Yoon, K. Minami, Y. Osada, S. Yamamoto, R. Masuda, A. Kasai, K. Miyashita, T. Minamoto, M. Kondoh

The paper estimates fish population abundance by integrating environmental DNA data with hydrodynamic modeling, showing results comparable to echo sounder methods.

bioRxiv · Nov 30, 2018Ecology