Evidence map›Paper›PMID 29721787›Full record

ArticleTheory in biosciences = Theorie in den Biowissenschaften2018

An optimal stopping approach for onset of fish migration.

Hidekazu Yoshioka, Yuta Yaegashi

Abstract read
PubMed Publisher
In one paragraph

Article in Theory in biosciences = Theorie in den Biowissenschaften, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Effects of water currents on fish migration through a Feynman-type path integral approach underTheory in biosciences = Theorie in den Biowissenschaften · 2021
    Article
  2. Review
  3. A stochastic differential game approach toward animal migration.Theory in biosciences = Theorie in den Biowissenschaften · 2019
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Hidekazu YoshiokaFaculty of Life and Environmental Science, Shimane University, Nishikawatsu-cho 1060, Matsue, Shimane, 690-8504, Japan. yoshih@life.shimane-u.ac.jp.ORCID http://orcid.org/0000-0002-5293-3246
Yuta YaegashiGraduate School of Agriculture, Kyoto University, Kitashirakawa-oiwake-cho, Sakyo-ku, Kyoto, 606-8502, Japan.

Funding

a grant to Shimane University Fisheries Management Research Center from the Ministry of Land, Infrastructure, Transport and Tourism of Japan NoneJapan Society for the Promotion of Science 17J09125Japan Society for the Promotion of Science 17K15345WEC Applied Ecology Research 2016-02
6 · The paper itself

Abstract

Comprehending life history of migratory fish, onset of migration in particular, is a key biological and ecological research topic that still has not been clarified. In this paper, we propose a simple mathematical model for the onset of fish migration in the context of a stochastic optimal stopping theory, which is a new attempt to our knowledge. Finding the criteria of the onset of migration reduces to solving a variational inequality of a degenerate elliptic type. As a first step of the new mathematical modeling, mathematical and numerical analyses with particular emphasis on whether the model is consistent with the past observation results of fish migration are examined, demonstrating reasonable agreement between the theory and observation results. The present mathematical model thus potentially serves as a simple basis for analyzing onset of fish migration.

Indexed as

Animal MigrationAnimalsEcologyEcosystemFishesModels, BiologicalPopulation DynamicsStochastic ProcessesFish migrationPopulation dynamicsStochastic optimal stopping theoryVariational inequality

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.