Author

Y. Kanamori

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Ecology· 2

Signature Assays, Organisms & Methods

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Research Focus:ecology & biodiversity· 1 Research Focus:host-pathogen & immune response· 1 Approach:machine learning (classical)· 1 Assay:metagenomics· 1 Organism:multiple species· 1 Approach:statistical model· 1

Frequent Co-Authors

H. Okamura· 2 shared A. Takasuka· 1 shared M. Watai· 1 shared R. Yukami· 1 shared S. Nishijima· 1 shared T. Yano· 1 shared Y. Yagi· 1 shared

Activity by Year

2020-2022 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 13 mutual co-author links

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2 shared papersEcology

H. Okamura

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2 papers

Recent·Most cited

EcologybioRxivPreprintMar 1, 2022

Spatio-temporal model and machine learning method reveal process of phenological shift under climate change of North Pacific spiny dogfish

Y. Kanamori, T. Yano, H. Okamura, Y. Yagi

The paper uses a spatio-temporal model and machine learning to analyze climate-driven phenological shifts in spiny dogfish migration patterns over 5 decades.

DOI 10.1101/2022.03.01.482455

machine learning (classical)host-pathogen & immune response

𝕏 PostBluesky

EcologybioRxivApr 22, 2020

Spatio-temporal model reduces species misidentification bias of spawning eggs in stock assessment of spotted mackerel in the western North Pacific

Y. Kanamori, S. Nishijima, H. Okamura…·A. Takasuka

The paper uses a spatio-temporal model to reduce species misidentification bias in spotted mackerel stock assessment by incorporating chub mackerel egg density effects.

DOI 10.1016/j.fishres.2020.105825

multiple speciesmetagenomics

𝕏 PostBluesky