Author

A. Terui

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· 5

Signature Assays, Organisms & Methods

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Research Focus:ecology & biodiversity· 4 Approach:statistical model· 3 Assay:field survey / ecological data· 2 Approach:Bayesian inference· 1 Approach:benchmark study· 1 Research Focus:benchmarking· 1

Frequent Co-Authors

B. Nishizawa· 1 shared C. L. Dolph· 1 shared H. Urabe· 1 shared M. Senzaki· 1 shared S. Kim· 1 shared S. Shibasaki· 1 shared T. Kadoya· 1 shared Y. Miyazaki· 1 shared

Activity by Year

2019-2023 · peak 2/yr

Co-Author Collaboration Network

8 top collaborators · 9 mutual co-author links

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1 shared paperEcology

B. Nishizawa

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5 papers

Recent·Most cited

Food web complexity modulates environmental impacts on food chain length

S. Shibasaki, A. Terui

The paper investigates how food web complexity influences environmental impacts on food chain length, finding that species richness and motifs modulate these effects.

bioRxiv · Apr 29, 2023Ecology

Mathematical characterization of fractal river networks

A. Terui

The paper critiques Carraro and Altermatt's analysis of river network scaling properties, identifying flaws in their use of branching probability, scale invariance, and units.

bioRxiv · Nov 7, 2022 · PreprintEcology

Intentional stocking undermines ecological stability

A. Terui, H. Urabe, M. Senzaki, B. Nishizawa

The paper shows that stock enhancement destabilizes ecological communities by increasing temporal fluctuations and reducing species richness in rivers with intensive hatchery salmon stocking.

bioRxiv · Feb 24, 2022Ecology

Ecosystem size and complexity dictate riverine biodiversity

A. Terui, S. Kim, C. L. Dolph, T. Kadoya, Y. Miyazaki

This study shows ecosystem size and complexity equally influence riverine biodiversity across different regions.

bioRxiv · Mar 8, 2021Ecology

A Bayesian approach to inferring dispersal kernels with incomplete mark-recapture data

A. Terui

This paper introduces a Bayesian model to estimate dispersal parameters from incomplete mark-recapture data, improving accuracy by utilizing both recaptured and unrecaptured individuals.

bioRxiv · Oct 22, 2019Ecology